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README.md

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 ---
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+datasets:
+- jondurbin/airoboros-2.2.1
+- Open-Orca/OpenOrca
+- garage-bAInd/Open-Platypus
+- ehartford/samantha-data
+tags:
+- llama-2
+- code
 license: llama2
+model-index:
+- name: SpeechlessCoder
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: openai_humaneval
+      name: HumanEval
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 34.146
+      verified: false
 ---
+
+<p><h1> speechless-mistral-dolphin-orca-platypus-samantha-7b </h1></p>
+This model is a merge of ehartford/dolphin-2.1-mistral-7b, Open-Orca/Mistral-7B-OpenOrca, bhenrym14/mistral-7b-platypus-fp16 and ehartford/samantha-1.2-mistral-7b.
+
+I'm very sorry for giving such a long and peculiar name. Originally, it was just my lazy behavior during the process of making models to easily distinguish various model and dataset combinations. I didn't expect the [previous model](https://huggingface.co/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b) ([Thebloke GPTQ Version](https://huggingface.co/TheBloke/Speechless-Llama2-Hermes-Orca-Platypus-WizardLM-13B-GPTQ)) to be so popular. This time, based on some guys's request, I am releasing a model based on Mistral, and I have also inherited the style of the super long name along with it. Welcome to try the model, please refrain from harsh criticism if you don't like it.
+
+## HumanEval
+
+| Metric | Value |
+| --- | --- |
+| humaneval-python |  34.146|
+
+[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
+
+CodeLlama-34B-Python: 53.29
+
+CodeLlama-34B-Instruct: 50.79
+
+CodeLlama-13B-Instruct: 50.6
+
+CodeLlama-34B: 45.11
+
+CodeLlama-13B-Python: 42.89
+
+CodeLlama-13B: 35.07 
+
+Mistral-7B-v0.1: 30.488
+
+## LM-Evaluation-Harness
+
+[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+| Metric | Value |
+| --- | --- |
+| ARC |  |
+| HellaSwag | |
+| MMLU | |
+| TruthfulQA | |
+| Average | |
+
+# Model Card for Mistral-7B-v0.1
+
+The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. 
+Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
+
+For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/).
+
+## Model Architecture
+
+Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
+- Grouped-Query Attention
+- Sliding-Window Attention
+- Byte-fallback BPE tokenizer
+
+## Troubleshooting
+
+- If you see the following error:
+``
+KeyError: 'mistral'
+``
+- Or:
+``
+NotImplementedError: Cannot copy out of meta tensor; no data!
+``
+
+Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.
+
+## Notice
+
+Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.
+
+## The Mistral AI Team
+ 
+Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.`

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+}

config.json

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+  "_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

@@ -0,0 +1,10 @@
+{
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+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
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+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}