Add files using upload-large-folder tool

README.md

@@ -0,0 +1,140 @@
+---
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- zh
+- ja
+- ru
+- ko
+license: other
+license_name: mrl
+inference: false
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+extra_gated_prompt: >- 
+  # Mistral AI Research License
+
+  If You want to use a Mistral Model, a Derivative or an Output for any purpose that is not expressly authorized under this Agreement, You must request a license from Mistral AI, which Mistral AI may grant to You in Mistral AI's sole discretion. To discuss such a license, please contact Mistral AI via the website contact form: https://mistral.ai/contact/
+
+  ## 1. Scope and acceptance
+
+  **1.1. Scope of the Agreement.** This Agreement applies to any use, modification, or Distribution of any Mistral Model by You, regardless of the source You obtained a copy of such Mistral Model.
+
+  **1.2. Acceptance.** By accessing, using, modifying, Distributing a Mistral Model, or by creating, using or distributing a Derivative of the Mistral Model, You agree to be bound by this Agreement.
+
+  **1.3. Acceptance on behalf of a third-party.** If You accept this Agreement on behalf of Your employer or another person or entity, You warrant and represent that You have the authority to act and accept this Agreement on their behalf. In such a case, the word "You" in this Agreement will refer to Your employer or such other person or entity.
+
+  ## 2. License
+
+  **2.1. Grant of rights**.  Subject to Section 3 below, Mistral AI hereby grants You a non-exclusive, royalty-free, worldwide, non-sublicensable, non-transferable, limited license to use, copy, modify, and Distribute under the conditions provided in Section 2.2 below, the Mistral Model and any Derivatives made by or for Mistral AI and to create Derivatives of the Mistral Model.
+
+  **2.2. Distribution of Mistral Model and Derivatives made by or for Mistral AI.** Subject to Section 3 below, You may Distribute copies of the Mistral Model and/or Derivatives made by or for Mistral AI, under the following conditions:
+  You must make available a copy of this Agreement to third-party recipients of the Mistral Models and/or Derivatives made by or for Mistral AI you Distribute, it being specified that any rights to use the Mistral Models and/or Derivatives made by or for Mistral AI shall be directly granted by Mistral AI to said third-party recipients pursuant to the Mistral AI Research License agreement executed between these parties;
+  You must retain in all copies of the Mistral Models the following attribution notice within a "Notice" text file distributed as part of such copies: "Licensed by Mistral AI under the Mistral AI Research License".
+
+  **2.3. Distribution of Derivatives made by or for You.** Subject to Section 3 below, You may Distribute any Derivatives made by or for You under additional or different terms and conditions, provided that:
+  In any event, the use and modification of Mistral Model and/or Derivatives made by or for Mistral AI shall remain governed by the terms and conditions of this Agreement;
+  You include in any such Derivatives made by or for You prominent notices stating that You modified the concerned Mistral Model; and
+  Any terms and conditions You impose on any third-party recipients relating to Derivatives made by or for You shall neither limit such third-party recipients' use of the Mistral Model or any Derivatives made by or for Mistral AI in accordance with the Mistral AI Research License nor conflict with any of its terms and conditions.
+
+  ## 3. Limitations
+
+  **3.1. Misrepresentation.** You must not misrepresent or imply, through any means, that the Derivatives made by or for You and/or any modified version of the Mistral Model You Distribute under your name and responsibility is an official product of Mistral AI or has been endorsed, approved or validated by Mistral AI, unless You are authorized by Us to do so in writing.
+
+  **3.2. Usage Limitation.** You shall only use the Mistral Models, Derivatives (whether or not created by Mistral AI) and Outputs for Research Purposes.
+
+  ## 4. Intellectual Property
+
+  **4.1. Trademarks.** No trademark licenses are granted under this Agreement, and in connection with the Mistral Models, You may not use any name or mark owned by or associated with Mistral AI or any of its affiliates, except (i) as required for reasonable and customary use in describing and Distributing the Mistral Models and Derivatives made by or for Mistral AI and (ii) for attribution purposes as required by this Agreement.
+
+  **4.2. Outputs.** We claim no ownership rights in and to the Outputs. You are solely responsible for the Outputs You generate and their subsequent uses in accordance with this Agreement. Any Outputs shall be subject to the restrictions set out in Section 3 of this Agreement.
+
+  **4.3. Derivatives.** By entering into this Agreement, You accept that any Derivatives that You may create or that may be created for You shall be subject to the restrictions set out in Section 3 of this Agreement.
+
+  ## 5. Liability
+
+  **5.1. Limitation of liability.** In no event, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall Mistral AI be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this Agreement or out of the use or inability to use the Mistral Models and Derivatives (including but not limited to damages for loss of data, loss of goodwill, loss of expected profit or savings, work stoppage, computer failure or malfunction, or any damage caused by malware or security breaches), even if  Mistral AI has been advised of the possibility of such damages.
+
+  **5.2. Indemnification.** You agree to indemnify and hold harmless Mistral AI from and against any claims, damages, or losses arising out of or related to Your use or Distribution of the Mistral Models and Derivatives.
+
+  ## 6. Warranty
+
+  **6.1. Disclaimer.** Unless required by applicable law or prior agreed to by Mistral AI in writing, Mistral AI provides the Mistral Models and Derivatives on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. Mistral AI does not represent nor warrant that the Mistral Models and Derivatives will be error-free, meet Your or any third party's requirements, be secure or will allow You or any third party to achieve any kind of result or generate any kind of content. You are solely responsible for determining the appropriateness of using or Distributing the Mistral Models and Derivatives and assume any risks associated with Your exercise of rights under this Agreement.
+
+  ## 7. Termination
+
+  **7.1. Term.** This Agreement is effective as of the date of your acceptance of this Agreement or access to the concerned Mistral Models or Derivatives and will continue until terminated in accordance with the following terms.
+
+  **7.2. Termination.** Mistral AI may terminate this Agreement at any time if You are in breach of this Agreement. Upon termination of this Agreement, You must cease to use all Mistral Models and Derivatives and shall permanently delete any copy thereof. The following provisions, in their relevant parts, will survive any termination or expiration of this Agreement, each for the duration necessary to achieve its own intended purpose (e.g. the liability provision will survive until the end of the applicable limitation period):Sections 5 (Liability), 6(Warranty), 7 (Termination) and 8 (General Provisions).
+
+  **7.3. Litigation.** If You initiate any legal action or proceedings against Us or any other entity (including a cross-claim or counterclaim in a lawsuit), alleging that the Model or a Derivative, or any part thereof, infringe upon intellectual property or other rights owned or licensable by You, then any licenses granted to You under this Agreement will immediately terminate as of the date such legal action or claim is filed or initiated.
+
+  ## 8. General provisions
+
+  **8.1. Governing laws.** This Agreement will be governed by the laws of France, without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement.
+
+  **8.2. Competent jurisdiction.** The courts of Paris shall have exclusive jurisdiction of any dispute arising out of this Agreement.
+
+  **8.3. Severability.** If any provision of this Agreement is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
+
+  ## 9. Definitions
+
+  "Agreement": means this Mistral AI Research License agreement governing the access, use, and Distribution of the Mistral Models, Derivatives and Outputs.
+
+  "Derivative": means any (i) modified version of the Mistral Model (including but not limited to any customized or fine-tuned version thereof), (ii) work based on the Mistral Model, or (iii) any other derivative work thereof.
+
+  "Distribution", "Distributing", "Distribute" or "Distributed": means supplying, providing or making available, by any means, a copy of the Mistral Models and/or the Derivatives as the case may be, subject to Section 3 of this Agreement.
+
+  "Mistral AI", "We" or "Us": means Mistral AI, a French société par actions simplifiée registered in the Paris commercial registry under the number 952 418 325, and having its registered seat at 15, rue des Halles, 75001 Paris.
+
+  "Mistral Model": means the foundational large language model(s), and its elements which include algorithms, software, instructed checkpoints, parameters, source code (inference code, evaluation code and, if applicable, fine-tuning code) and any other elements associated thereto made available by Mistral AI under this Agreement, including, if any, the technical documentation, manuals and instructions for the use and operation thereof.
+
+  "Research Purposes": means any use of a Mistral Model,  Derivative, or Output that is solely for (a) personal, scientific or academic research, and (b) for non-profit and non-commercial purposes, and not directly or indirectly connected to any commercial activities or business operations. For illustration purposes, Research Purposes does not include (1) any usage of the Mistral Model, Derivative or Output by individuals or contractors employed in or engaged by companies in the context of (a) their daily tasks, or (b) any activity (including but not limited to any testing or proof-of-concept) that is intended to generate revenue, nor (2) any Distribution by a commercial entity of the Mistral Model, Derivative or Output whether in return for payment or free of charge, in any medium or form, including but not limited to through a hosted or managed service (e.g. SaaS, cloud instances, etc.), or behind a software layer.
+
+  "Outputs": means any content generated by the operation of the Mistral Models or the Derivatives from  a prompt (i.e., text instructions) provided by users. For the avoidance of doubt, Outputs do not include any components of a Mistral Models, such as any fine-tuned versions of the Mistral Models, the weights, or parameters.
+
+  "You": means the individual or entity entering into this Agreement with Mistral AI.
+
+
+  *Mistral AI processes your personal data below to provide the model and enforce its license. If you are affiliated with a commercial entity, we may also send you communications about our models. For more information on your rights and data handling, please see our <a href="https://mistral.ai/terms/">privacy policy</a>.*
+extra_gated_fields:
+  First Name: text
+  Last Name: text
+  Country: country
+  Affiliation: text
+  Job title: text
+  I understand that I can only use the model, any derivative versions and their outputs for non-commercial research purposes: checkbox
+  I understand that if I am a commercial entity, I am not permitted to use or distribute the model internally or externally, or expose it in my own offerings without a commercial license: checkbox
+  I understand that if I upload the model, or any derivative version, on any platform, I must include the Mistral Research License: checkbox
+  I understand that for commercial use of the model, I can contact Mistral or use the Mistral AI API on la Plateforme or any of our cloud provider partners: checkbox
+  ? By clicking Submit below I accept the terms of the license and acknowledge that
+    the information I provide will be collected stored processed and shared in accordance
+    with the Mistral Privacy Policy
+  : checkbox
+  geo: ip_location
+extra_gated_description: >-
+  Mistral AI processes your personal data below to provide the model and enforce its license. If you are affiliated with a commercial entity, we may also send you communications about our models. For more information on your rights and data handling, please see our <a href="https://mistral.ai/terms/">privacy policy</a>.
+extra_gated_button_content: Submit
+library_name: vllm
+---
+
+Quantized model => https://huggingface.co/mistralai/Mistral-Large-Instruct-2411
+
+**Quantization Details:**
+Quantization is done using turboderp's ExLlamaV2 v0.2.4.
+
+I use the default calibration datasets and arguments. The repo also includes a "measurement.json" file, which was used during the quantization process.
+
+For models with bits per weight (BPW) over 6.0, I default to quantizing the `lm_head` layer at 8 bits instead of the standard 6 bits.
+
+
+
+---
+
+**Who are you? What's with these weird BPWs on [insert model here]?**
+I specialize in optimized EXL2 quantization for models in the 70B to 100B+ range, specifically tailored for 48GB VRAM setups. My rig is built using 2 x 3090s with a Ryzen APU (APU used solely for desktop output—no VRAM wasted on the 3090s). I use TabbyAPI for inference, targeting context sizes between 32K and 64K.
+
+Every model I upload includes a `config.yml` file with my ideal TabbyAPI settings. If you're using my config, don’t forget to set `PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync` to save some VRAM.

SYSTEM_PROMPT.txt

@@ -0,0 +1,18 @@
+You are {name}, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.
+You power an AI assistant called Le Chat.
+Your knowledge base was last updated on 2023-10-01.
+The current date is {today}.
+
+When you're not sure about some information, you say that you don't have the information and don't make up anything.
+If the user's question is not clear, ambiguous, or does not provide enough context for you to accurately answer the question, you do not try to answer it right away and you rather ask the user to clarify their request (e.g. "What are some good restaurants around me?" => "Where are you?" or "When is the next flight to Tokyo" => "Where do you travel from?").
+You are always very attentive to dates, in particular you try to resolve dates (e.g. "yesterday" is {yesterday}) and when asked about information at specific dates, you discard information that is at another date.
+You follow these instructions in all languages, and always respond to the user in the language they use or request.
+Next sections describe the capabilities that you have.
+
+# WEB BROWSING INSTRUCTIONS
+
+You cannot perform any web search or access internet to open URLs, links etc. If it seems like the user is expecting you to do so, you clarify the situation and ask the user to copy paste the text directly in the chat.
+
+# MULTI-MODAL INSTRUCTIONS
+
+You do not have any multimodal capability, in particular you cannot read nor generate images, or transcribe audio files or videos.

config.json

@@ -0,0 +1,36 @@
+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 12288,
+    "initializer_range": 0.02,
+    "intermediate_size": 28672,
+    "max_position_embeddings": 131072,
+    "model_type": "mistral",
+    "num_attention_heads": 96,
+    "num_hidden_layers": 88,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "transformers_version": "4.46.2",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.4",
+        "bits": 2.86,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

config.yml

@@ -0,0 +1,209 @@
+# Sample YAML file for configuration.
+# Comment and uncomment values as needed.
+# Every value has a default within the application.
+# This file serves to be a drop in for config.yml
+
+# Unless specified in the comments, DO NOT put these options in quotes!
+# You can use https://www.yamllint.com/ if you want to check your YAML formatting.
+
+# Options for networking
+network:
+  # The IP to host on (default: 127.0.0.1).
+  # Use 0.0.0.0 to expose on all network adapters.
+  host: 0.0.0.0
+
+  # The port to host on (default: 5000).
+  port: 5000
+
+  # Disable HTTP token authentication with requests.
+  # WARNING: This will make your instance vulnerable!
+  # Turn on this option if you are ONLY connecting from localhost.
+  disable_auth: false
+
+  # Send tracebacks over the API (default: False).
+  # NOTE: Only enable this for debug purposes.
+  send_tracebacks: false
+
+  # Select API servers to enable (default: ["OAI"]).
+  # Possible values: OAI, Kobold.
+  api_servers: ["oai"]
+
+# Options for logging
+logging:
+  # Enable prompt logging (default: False).
+  log_prompt: false
+
+  # Enable generation parameter logging (default: False).
+  log_generation_params: false
+
+  # Enable request logging (default: False).
+  # NOTE: Only use this for debugging!
+  log_requests: false
+
+# Options for model overrides and loading
+# Please read the comments to understand how arguments are handled
+# between initial and API loads
+model:
+  # Directory to look for models (default: models).
+  # Windows users, do NOT put this path in quotes!
+  model_dir: models
+
+  # Allow direct loading of models from a completion or chat completion request (default: False).
+  # This method of loading is strict by default.
+  # Enable dummy models to add exceptions for invalid model names.
+  inline_model_loading: false
+
+  # Sends dummy model names when the models endpoint is queried. (default: False)
+  # Enable this if the client is looking for specific OAI models.
+  use_dummy_models: false
+
+  # A list of fake model names that are sent via the /v1/models endpoint. (default: ["gpt-3.5-turbo"])
+  # Also used as bypasses for strict mode if inline_model_loading is true.
+  dummy_model_names: ["gpt-3.5-turbo"]
+
+  # An initial model to load.
+  # Make sure the model is located in the model directory!
+  # REQUIRED: This must be filled out to load a model on startup.
+  model_name: Mistral-Large-Instruct-2411_exl2_2.86bpw
+
+  # Names of args to use as a fallback for API load requests (default: []).
+  # For example, if you always want cache_mode to be Q4 instead of on the inital model load, add "cache_mode" to this array.
+  # Example: ['max_seq_len', 'cache_mode'].
+  use_as_default: []
+
+  # Max sequence length (default: Empty).
+  # Fetched from the model's base sequence length in config.json by default.
+  max_seq_len: 32768
+  # Load model with tensor parallelism.
+  # Falls back to autosplit if GPU split isn't provided.
+  # This ignores the gpu_split_auto value.
+  tensor_parallel: false
+
+  # Automatically allocate resources to GPUs (default: True).
+  # Not parsed for single GPU users.
+  gpu_split_auto: true
+
+  # Reserve VRAM used for autosplit loading (default: 96 MB on GPU 0).
+  # Represented as an array of MB per GPU.
+  autosplit_reserve: [0]
+
+  # An integer array of GBs of VRAM to split between GPUs (default: []).
+  # Used with tensor parallelism.
+  gpu_split: []
+
+  # Rope scale (default: 1.0).
+  # Same as compress_pos_emb.
+  # Use if the model was trained on long context with rope.
+  # Leave blank to pull the value from the model.
+  rope_scale: 1.0
+
+  # Rope alpha (default: None).
+  # Same as alpha_value. Set to "auto" to auto-calculate.
+  # Leaving this value blank will either pull from the model or auto-calculate.
+  rope_alpha:
+
+  # Enable different cache modes for VRAM savings (default: FP16).
+  # Possible values: 'FP16', 'Q8', 'Q6', 'Q4'.
+  cache_mode: Q4
+
+  # Size of the prompt cache to allocate (default: max_seq_len).
+  # Must be a multiple of 256 and can't be less than max_seq_len.
+  # For CFG, set this to 2 * max_seq_len.
+  cache_size:
+
+  # Chunk size for prompt ingestion (default: 2048).
+  # A lower value reduces VRAM usage but decreases ingestion speed.
+  # NOTE: Effects vary depending on the model.
+  # An ideal value is between 512 and 4096.
+  chunk_size: 1024
+
+  # Set the maximum number of prompts to process at one time (default: None/Automatic).
+  # Automatically calculated if left blank.
+  # NOTE: Only available for Nvidia ampere (30 series) and above GPUs.
+  max_batch_size:
+
+  # Set the prompt template for this model. (default: None)
+  # If empty, attempts to look for the model's chat template.
+  # If a model contains multiple templates in its tokenizer_config.json,
+  # set prompt_template to the name of the template you want to use.
+  # NOTE: Only works with chat completion message lists!
+  prompt_template:
+
+  # Number of experts to use per token.
+  # Fetched from the model's config.json if empty.
+  # NOTE: For MoE models only.
+  # WARNING: Don't set this unless you know what you're doing!
+  num_experts_per_token:
+
+# Options for draft models (speculative decoding)
+# This will use more VRAM!
+draft_model:
+  # Directory to look for draft models (default: models)
+  draft_model_dir: models
+
+  # An initial draft model to load.
+  # Ensure the model is in the model directory.
+  draft_model_name:
+
+  # Rope scale for draft models (default: 1.0).
+  # Same as compress_pos_emb.
+  # Use if the draft model was trained on long context with rope.
+  draft_rope_scale: 1.0
+
+  # Rope alpha for draft models (default: None).
+  # Same as alpha_value. Set to "auto" to auto-calculate.
+  # Leaving this value blank will either pull from the model or auto-calculate.
+  draft_rope_alpha:
+
+  # Cache mode for draft models to save VRAM (default: FP16).
+  # Possible values: 'FP16', 'Q8', 'Q6', 'Q4'.
+  draft_cache_mode: FP16
+
+# Options for Loras
+lora:
+  # Directory to look for LoRAs (default: loras).
+  lora_dir: loras
+
+  # List of LoRAs to load and associated scaling factors (default scale: 1.0).
+  # For the YAML file, add each entry as a YAML list:
+  # - name: lora1
+  #   scaling: 1.0
+  loras:
+
+# Options for embedding models and loading.
+# NOTE: Embeddings requires the "extras" feature to be installed
+# Install it via "pip install .[extras]"
+embeddings:
+  # Directory to look for embedding models (default: models).
+  embedding_model_dir: models
+
+  # Device to load embedding models on (default: cpu).
+  # Possible values: cpu, auto, cuda.
+  # NOTE: It's recommended to load embedding models on the CPU.
+  # If using an AMD GPU, set this value to 'cuda'.
+  embeddings_device: cpu
+
+  # An initial embedding model to load on the infinity backend.
+  embedding_model_name:
+sampling:
+
+# Options for development and experimentation
+developer:
+  # Skip Exllamav2 version check (default: False).
+  # WARNING: It's highly recommended to update your dependencies rather than enabling this flag.
+  unsafe_launch: false
+
+  # Disable API request streaming (default: False).
+  disable_request_streaming: false
+
+  # Enable the torch CUDA malloc backend (default: False).
+  cuda_malloc_backend: true
+
+  # Run asyncio using Uvloop or Winloop which can improve performance.
+  # NOTE: It's recommended to enable this, but if something breaks turn this off.
+  uvloop: true
+
+  # Set process to use a higher priority.
+  # For realtime process priority, run as administrator or sudo.
+  # Otherwise, the priority will be set to high.
+  realtime_process_priority: true

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.46.2"
+}

model.safetensors.index.json

@@ -0,0 +1,802 @@
+{
+  "metadata": {
+    "total_size": 245220139008
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00051-of-00051.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00002-of-00051.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00051.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00051.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00007-of-00051.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00007-of-00051.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00007-of-00051.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00009-of-00051.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00009-of-00051.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00008-of-00051.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00010-of-00051.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00010-of-00051.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00009-of-00051.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00011-of-00051.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00011-of-00051.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00010-of-00051.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00011-of-00051.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00013-of-00051.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00013-of-00051.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00012-of-00051.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00014-of-00051.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00014-of-00051.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00013-of-00051.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00015-of-00051.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00015-of-00051.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00014-of-00051.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00015-of-00051.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00017-of-00051.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00017-of-00051.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00016-of-00051.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00018-of-00051.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00018-of-00051.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00017-of-00051.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00003-of-00051.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00003-of-00051.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00051.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00019-of-00051.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00019-of-00051.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00018-of-00051.safetensors",
+    "model.layers.32.input_layernorm.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.mlp.down_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.mlp.gate_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.mlp.up_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.post_attention_layernorm.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.self_attn.k_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.self_attn.o_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.self_attn.q_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.32.self_attn.v_proj.weight": "model-00019-of-00051.safetensors",
+    "model.layers.33.input_layernorm.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.mlp.down_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.mlp.gate_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.mlp.up_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.post_attention_layernorm.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.self_attn.k_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.self_attn.o_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.self_attn.q_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.33.self_attn.v_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.34.input_layernorm.weight": "model-00021-of-00051.safetensors",
+    "model.layers.34.mlp.down_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.34.mlp.gate_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.34.mlp.up_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.34.post_attention_layernorm.weight": "model-00021-of-00051.safetensors",
+    "model.layers.34.self_attn.k_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.34.self_attn.o_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.34.self_attn.q_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.34.self_attn.v_proj.weight": "model-00020-of-00051.safetensors",
+    "model.layers.35.input_layernorm.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.mlp.down_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.mlp.gate_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.mlp.up_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.post_attention_layernorm.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.self_attn.k_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.self_attn.o_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.self_attn.q_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.35.self_attn.v_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.36.input_layernorm.weight": "model-00022-of-00051.safetensors",
+    "model.layers.36.mlp.down_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.36.mlp.gate_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.36.mlp.up_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.36.post_attention_layernorm.weight": "model-00022-of-00051.safetensors",
+    "model.layers.36.self_attn.k_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.36.self_attn.o_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.36.self_attn.q_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.36.self_attn.v_proj.weight": "model-00021-of-00051.safetensors",
+    "model.layers.37.input_layernorm.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.mlp.down_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.mlp.gate_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.mlp.up_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.post_attention_layernorm.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.self_attn.k_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.self_attn.o_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.self_attn.q_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.37.self_attn.v_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.38.input_layernorm.weight": "model-00023-of-00051.safetensors",
+    "model.layers.38.mlp.down_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.38.mlp.gate_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.38.mlp.up_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.38.post_attention_layernorm.weight": "model-00023-of-00051.safetensors",
+    "model.layers.38.self_attn.k_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.38.self_attn.o_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.38.self_attn.q_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.38.self_attn.v_proj.weight": "model-00022-of-00051.safetensors",
+    "model.layers.39.input_layernorm.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.mlp.down_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.mlp.gate_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.mlp.up_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.post_attention_layernorm.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.self_attn.k_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.self_attn.o_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.self_attn.q_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.39.self_attn.v_proj.weight": "model-00023-of-00051.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00003-of-00051.safetensors",
+    "model.layers.40.input_layernorm.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.mlp.down_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.mlp.gate_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.mlp.up_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.post_attention_layernorm.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.self_attn.k_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.self_attn.o_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.self_attn.q_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.40.self_attn.v_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.41.input_layernorm.weight": "model-00025-of-00051.safetensors",
+    "model.layers.41.mlp.down_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.41.mlp.gate_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.41.mlp.up_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.41.post_attention_layernorm.weight": "model-00025-of-00051.safetensors",
+    "model.layers.41.self_attn.k_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.41.self_attn.o_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.41.self_attn.q_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.41.self_attn.v_proj.weight": "model-00024-of-00051.safetensors",
+    "model.layers.42.input_layernorm.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.mlp.down_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.mlp.gate_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.mlp.up_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.post_attention_layernorm.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.self_attn.k_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.self_attn.o_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.self_attn.q_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.42.self_attn.v_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.43.input_layernorm.weight": "model-00026-of-00051.safetensors",
+    "model.layers.43.mlp.down_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.43.mlp.gate_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.43.mlp.up_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.43.post_attention_layernorm.weight": "model-00026-of-00051.safetensors",
+    "model.layers.43.self_attn.k_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.43.self_attn.o_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.43.self_attn.q_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.43.self_attn.v_proj.weight": "model-00025-of-00051.safetensors",
+    "model.layers.44.input_layernorm.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.mlp.down_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.mlp.gate_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.mlp.up_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.post_attention_layernorm.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.self_attn.k_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.self_attn.o_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.self_attn.q_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.44.self_attn.v_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.45.input_layernorm.weight": "model-00027-of-00051.safetensors",
+    "model.layers.45.mlp.down_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.45.mlp.gate_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.45.mlp.up_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.45.post_attention_layernorm.weight": "model-00027-of-00051.safetensors",
+    "model.layers.45.self_attn.k_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.45.self_attn.o_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.45.self_attn.q_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.45.self_attn.v_proj.weight": "model-00026-of-00051.safetensors",
+    "model.layers.46.input_layernorm.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.mlp.down_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.mlp.gate_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.mlp.up_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.post_attention_layernorm.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.self_attn.k_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.self_attn.o_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.self_attn.q_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.46.self_attn.v_proj.weight": "model-00027-of-00051.safetensors",
+    "model.layers.47.input_layernorm.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.mlp.down_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.mlp.gate_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.mlp.up_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.post_attention_layernorm.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.self_attn.k_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.self_attn.o_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.self_attn.q_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.47.self_attn.v_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.48.input_layernorm.weight": "model-00029-of-00051.safetensors",
+    "model.layers.48.mlp.down_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.48.mlp.gate_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.48.mlp.up_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.48.post_attention_layernorm.weight": "model-00029-of-00051.safetensors",
+    "model.layers.48.self_attn.k_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.48.self_attn.o_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.48.self_attn.q_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.48.self_attn.v_proj.weight": "model-00028-of-00051.safetensors",
+    "model.layers.49.input_layernorm.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.mlp.down_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.mlp.gate_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.mlp.up_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.post_attention_layernorm.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.self_attn.k_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.self_attn.o_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.self_attn.q_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.49.self_attn.v_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.50.input_layernorm.weight": "model-00030-of-00051.safetensors",
+    "model.layers.50.mlp.down_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.50.mlp.gate_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.50.mlp.up_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.50.post_attention_layernorm.weight": "model-00030-of-00051.safetensors",
+    "model.layers.50.self_attn.k_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.50.self_attn.o_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.50.self_attn.q_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.50.self_attn.v_proj.weight": "model-00029-of-00051.safetensors",
+    "model.layers.51.input_layernorm.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.mlp.down_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.mlp.gate_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.mlp.up_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.post_attention_layernorm.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.self_attn.k_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.self_attn.o_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.self_attn.q_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.51.self_attn.v_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.52.input_layernorm.weight": "model-00031-of-00051.safetensors",
+    "model.layers.52.mlp.down_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.52.mlp.gate_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.52.mlp.up_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.52.post_attention_layernorm.weight": "model-00031-of-00051.safetensors",
+    "model.layers.52.self_attn.k_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.52.self_attn.o_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.52.self_attn.q_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.52.self_attn.v_proj.weight": "model-00030-of-00051.safetensors",
+    "model.layers.53.input_layernorm.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.mlp.down_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.mlp.gate_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.mlp.up_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.post_attention_layernorm.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.self_attn.k_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.self_attn.o_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.self_attn.q_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.53.self_attn.v_proj.weight": "model-00031-of-00051.safetensors",
+    "model.layers.54.input_layernorm.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.mlp.down_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.mlp.gate_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.mlp.up_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.post_attention_layernorm.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.self_attn.k_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.self_attn.o_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.self_attn.q_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.54.self_attn.v_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.55.input_layernorm.weight": "model-00033-of-00051.safetensors",
+    "model.layers.55.mlp.down_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.55.mlp.gate_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.55.mlp.up_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.55.post_attention_layernorm.weight": "model-00033-of-00051.safetensors",
+    "model.layers.55.self_attn.k_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.55.self_attn.o_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.55.self_attn.q_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.55.self_attn.v_proj.weight": "model-00032-of-00051.safetensors",
+    "model.layers.56.input_layernorm.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.mlp.down_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.mlp.gate_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.mlp.up_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.post_attention_layernorm.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.self_attn.k_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.self_attn.o_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.self_attn.q_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.56.self_attn.v_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.57.input_layernorm.weight": "model-00034-of-00051.safetensors",
+    "model.layers.57.mlp.down_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.57.mlp.gate_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.57.mlp.up_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.57.post_attention_layernorm.weight": "model-00034-of-00051.safetensors",
+    "model.layers.57.self_attn.k_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.57.self_attn.o_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.57.self_attn.q_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.57.self_attn.v_proj.weight": "model-00033-of-00051.safetensors",
+    "model.layers.58.input_layernorm.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.mlp.down_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.mlp.gate_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.mlp.up_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.post_attention_layernorm.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.self_attn.k_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.self_attn.o_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.self_attn.q_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.58.self_attn.v_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.59.input_layernorm.weight": "model-00035-of-00051.safetensors",
+    "model.layers.59.mlp.down_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.59.mlp.gate_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.59.mlp.up_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.59.post_attention_layernorm.weight": "model-00035-of-00051.safetensors",
+    "model.layers.59.self_attn.k_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.59.self_attn.o_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.59.self_attn.q_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.59.self_attn.v_proj.weight": "model-00034-of-00051.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00005-of-00051.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00005-of-00051.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00004-of-00051.safetensors",
+    "model.layers.60.input_layernorm.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.mlp.down_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.mlp.gate_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.mlp.up_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.post_attention_layernorm.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.self_attn.k_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.self_attn.o_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.self_attn.q_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.60.self_attn.v_proj.weight": "model-00035-of-00051.safetensors",
+    "model.layers.61.input_layernorm.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.mlp.down_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.mlp.gate_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.mlp.up_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.post_attention_layernorm.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.self_attn.k_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.self_attn.o_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.self_attn.q_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.61.self_attn.v_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.62.input_layernorm.weight": "model-00037-of-00051.safetensors",
+    "model.layers.62.mlp.down_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.62.mlp.gate_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.62.mlp.up_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.62.post_attention_layernorm.weight": "model-00037-of-00051.safetensors",
+    "model.layers.62.self_attn.k_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.62.self_attn.o_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.62.self_attn.q_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.62.self_attn.v_proj.weight": "model-00036-of-00051.safetensors",
+    "model.layers.63.input_layernorm.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.mlp.down_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.mlp.gate_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.mlp.up_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.post_attention_layernorm.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.self_attn.k_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.self_attn.o_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.self_attn.q_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.63.self_attn.v_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.64.input_layernorm.weight": "model-00038-of-00051.safetensors",
+    "model.layers.64.mlp.down_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.64.mlp.gate_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.64.mlp.up_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.64.post_attention_layernorm.weight": "model-00038-of-00051.safetensors",
+    "model.layers.64.self_attn.k_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.64.self_attn.o_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.64.self_attn.q_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.64.self_attn.v_proj.weight": "model-00037-of-00051.safetensors",
+    "model.layers.65.input_layernorm.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.mlp.down_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.mlp.gate_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.mlp.up_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.post_attention_layernorm.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.self_attn.k_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.self_attn.o_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.self_attn.q_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.65.self_attn.v_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.66.input_layernorm.weight": "model-00039-of-00051.safetensors",
+    "model.layers.66.mlp.down_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.66.mlp.gate_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.66.mlp.up_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.66.post_attention_layernorm.weight": "model-00039-of-00051.safetensors",
+    "model.layers.66.self_attn.k_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.66.self_attn.o_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.66.self_attn.q_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.66.self_attn.v_proj.weight": "model-00038-of-00051.safetensors",
+    "model.layers.67.input_layernorm.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.mlp.down_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.mlp.gate_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.mlp.up_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.post_attention_layernorm.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.self_attn.k_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.self_attn.o_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.self_attn.q_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.67.self_attn.v_proj.weight": "model-00039-of-00051.safetensors",
+    "model.layers.68.input_layernorm.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.mlp.down_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.mlp.gate_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.mlp.up_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.post_attention_layernorm.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.self_attn.k_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.self_attn.o_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.self_attn.q_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.68.self_attn.v_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.69.input_layernorm.weight": "model-00041-of-00051.safetensors",
+    "model.layers.69.mlp.down_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.69.mlp.gate_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.69.mlp.up_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.69.post_attention_layernorm.weight": "model-00041-of-00051.safetensors",
+    "model.layers.69.self_attn.k_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.69.self_attn.o_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.69.self_attn.q_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.69.self_attn.v_proj.weight": "model-00040-of-00051.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.70.input_layernorm.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.mlp.down_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.mlp.gate_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.mlp.up_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.post_attention_layernorm.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.self_attn.k_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.self_attn.o_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.self_attn.q_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.70.self_attn.v_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.71.input_layernorm.weight": "model-00042-of-00051.safetensors",
+    "model.layers.71.mlp.down_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.71.mlp.gate_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.71.mlp.up_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.71.post_attention_layernorm.weight": "model-00042-of-00051.safetensors",
+    "model.layers.71.self_attn.k_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.71.self_attn.o_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.71.self_attn.q_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.71.self_attn.v_proj.weight": "model-00041-of-00051.safetensors",
+    "model.layers.72.input_layernorm.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.mlp.down_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.mlp.gate_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.mlp.up_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.post_attention_layernorm.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.self_attn.k_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.self_attn.o_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.self_attn.q_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.72.self_attn.v_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.73.input_layernorm.weight": "model-00043-of-00051.safetensors",
+    "model.layers.73.mlp.down_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.73.mlp.gate_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.73.mlp.up_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.73.post_attention_layernorm.weight": "model-00043-of-00051.safetensors",
+    "model.layers.73.self_attn.k_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.73.self_attn.o_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.73.self_attn.q_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.73.self_attn.v_proj.weight": "model-00042-of-00051.safetensors",
+    "model.layers.74.input_layernorm.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.mlp.down_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.mlp.gate_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.mlp.up_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.post_attention_layernorm.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.self_attn.k_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.self_attn.o_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.self_attn.q_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.74.self_attn.v_proj.weight": "model-00043-of-00051.safetensors",
+    "model.layers.75.input_layernorm.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.mlp.down_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.mlp.gate_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.mlp.up_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.post_attention_layernorm.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.self_attn.k_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.self_attn.o_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.self_attn.q_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.75.self_attn.v_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.76.input_layernorm.weight": "model-00045-of-00051.safetensors",
+    "model.layers.76.mlp.down_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.76.mlp.gate_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.76.mlp.up_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.76.post_attention_layernorm.weight": "model-00045-of-00051.safetensors",
+    "model.layers.76.self_attn.k_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.76.self_attn.o_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.76.self_attn.q_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.76.self_attn.v_proj.weight": "model-00044-of-00051.safetensors",
+    "model.layers.77.input_layernorm.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.mlp.down_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.mlp.gate_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.mlp.up_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.post_attention_layernorm.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.self_attn.k_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.self_attn.o_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.self_attn.q_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.77.self_attn.v_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.78.input_layernorm.weight": "model-00046-of-00051.safetensors",
+    "model.layers.78.mlp.down_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.78.mlp.gate_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.78.mlp.up_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.78.post_attention_layernorm.weight": "model-00046-of-00051.safetensors",
+    "model.layers.78.self_attn.k_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.78.self_attn.o_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.78.self_attn.q_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.78.self_attn.v_proj.weight": "model-00045-of-00051.safetensors",
+    "model.layers.79.input_layernorm.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.mlp.down_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.mlp.gate_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.mlp.up_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.post_attention_layernorm.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.self_attn.k_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.self_attn.o_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.self_attn.q_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.79.self_attn.v_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00006-of-00051.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00006-of-00051.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00005-of-00051.safetensors",
+    "model.layers.80.input_layernorm.weight": "model-00047-of-00051.safetensors",
+    "model.layers.80.mlp.down_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.80.mlp.gate_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.80.mlp.up_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.80.post_attention_layernorm.weight": "model-00047-of-00051.safetensors",
+    "model.layers.80.self_attn.k_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.80.self_attn.o_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.80.self_attn.q_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.80.self_attn.v_proj.weight": "model-00046-of-00051.safetensors",
+    "model.layers.81.input_layernorm.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.mlp.down_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.mlp.gate_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.mlp.up_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.post_attention_layernorm.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.self_attn.k_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.self_attn.o_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.self_attn.q_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.81.self_attn.v_proj.weight": "model-00047-of-00051.safetensors",
+    "model.layers.82.input_layernorm.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.mlp.down_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.mlp.gate_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.mlp.up_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.post_attention_layernorm.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.self_attn.k_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.self_attn.o_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.self_attn.q_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.82.self_attn.v_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.83.input_layernorm.weight": "model-00049-of-00051.safetensors",
+    "model.layers.83.mlp.down_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.83.mlp.gate_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.83.mlp.up_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.83.post_attention_layernorm.weight": "model-00049-of-00051.safetensors",
+    "model.layers.83.self_attn.k_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.83.self_attn.o_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.83.self_attn.q_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.83.self_attn.v_proj.weight": "model-00048-of-00051.safetensors",
+    "model.layers.84.input_layernorm.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.mlp.down_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.mlp.gate_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.mlp.up_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.post_attention_layernorm.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.self_attn.k_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.self_attn.o_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.self_attn.q_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.84.self_attn.v_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.85.input_layernorm.weight": "model-00050-of-00051.safetensors",
+    "model.layers.85.mlp.down_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.85.mlp.gate_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.85.mlp.up_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.85.post_attention_layernorm.weight": "model-00050-of-00051.safetensors",
+    "model.layers.85.self_attn.k_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.85.self_attn.o_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.85.self_attn.q_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.85.self_attn.v_proj.weight": "model-00049-of-00051.safetensors",
+    "model.layers.86.input_layernorm.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.mlp.down_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.mlp.gate_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.mlp.up_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.post_attention_layernorm.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.self_attn.k_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.self_attn.o_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.self_attn.q_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.86.self_attn.v_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.87.input_layernorm.weight": "model-00051-of-00051.safetensors",
+    "model.layers.87.mlp.down_proj.weight": "model-00051-of-00051.safetensors",
+    "model.layers.87.mlp.gate_proj.weight": "model-00051-of-00051.safetensors",
+    "model.layers.87.mlp.up_proj.weight": "model-00051-of-00051.safetensors",
+    "model.layers.87.post_attention_layernorm.weight": "model-00051-of-00051.safetensors",
+    "model.layers.87.self_attn.k_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.87.self_attn.o_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.87.self_attn.q_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.87.self_attn.v_proj.weight": "model-00050-of-00051.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00006-of-00051.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00006-of-00051.safetensors",
+    "model.norm.weight": "model-00051-of-00051.safetensors"
+  }
+}

output-00001-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e31c8a3d32d1e334aa85ccc4b18d7b3423d5c6c8cf3ede13ba225b7058c01e54
+size 8562756068

output-00002-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48273eccb6f5c89698b05542be16ce33151390fab2504a3d1be7aad2297148bd
+size 8569704698

output-00003-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07dd9cde71be6b1c6b5916be89b387191b70555fb50e6582d98219a34617d572
+size 8526609758

output-00004-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed7c57f7a51b23c5b0034e95cf83122fc8f5ab83e671fd8212c61b346491589a
+size 8544091174

output-00005-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb39313916efb52d138968288fb7fb47aa7c5eab38bfd590d0fb7f4cb5db0b41
+size 8474372592

output-00006-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d13a79392ce5d9f38d84b26979912c2bb216425afddb4af9043ba6b292d1c05f
+size 1974825944

params.json

@@ -0,0 +1,11 @@
+{
+    "dim": 12288,
+    "n_layers": 88,
+    "head_dim": 128,
+    "hidden_dim": 28672,
+    "n_heads": 96,
+    "n_kv_heads": 8,
+    "norm_eps": 1e-05,
+    "vocab_size": 32768,
+    "rope_theta": 1000000.0
+}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b968b8dc352f42192367337c78ccc61e1eaddc6d641a579372d4f20694beb7a
+size 587562