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README.md

@@ -1,3 +1,142 @@
 ---
 license: mit
+widget:
+- text: '<|system|>
+
+    You are a helpful assistant.<|end|>>
+
+    <|user|>
+
+    Can you explain to me how quantum computing works?<|end|>
+
+    <|assistant|>
+
+    '
+model-index:
+- name: Cinder-Phi-2-V1-F16-gguf
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 58.28
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-Phi-2-V1-F16-gguf
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 74.04
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-Phi-2-V1-F16-gguf
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 54.46
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-Phi-2-V1-F16-gguf
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 44.5
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-Phi-2-V1-F16-gguf
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 74.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-Phi-2-V1-F16-gguf
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 47.23
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-Phi-2-V1-F16-gguf
+      name: Open LLM Leaderboard
 ---
+
+I am really enjoying this version of Cinder. More information coming. Training data similar to openhermes2.5 with some added math, STEM, and reasoning mostly from OpenOrca. As well as Cinder character specific data, a mix of RAG generated Q and A of world knowledge, STEM topics, and Cinder Character data. I suplimented the Cinder character with an abreviated Samantha dataset edited for Cinder and removed a lot of the negative responses. 
+Model Overview Cinder is an AI chatbot tailored for engaging users in scientific and educational conversations, offering companionship, and sparking imaginative exploration.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/obCyZSvfUefEWrOXaeB3o.png)
+
+Chat example from LM Studio:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/qxuCqJgUNRKq9vf7oJ3rr.png)
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__Cinder-Phi-2-V1-F16-gguf)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |58.86|
+|AI2 Reasoning Challenge (25-Shot)|58.28|
+|HellaSwag (10-Shot)              |74.04|
+|MMLU (5-Shot)                    |54.46|
+|TruthfulQA (0-shot)              |44.50|
+|Winogrande (5-shot)              |74.66|
+|GSM8k (5-shot)                   |47.23|
+

added_tokens.json

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+{
+  "<|/code|>": 32014,
+  "<|/data|>": 32033,
+  "<|/inst|>": 32037,
+  "<|/query|>": 32031,
+  "<|/sys|>": 32035,
+  "<|assistant_mask|>": 32017,
+  "<|assistant|>": 32001,
+  "<|calc|>": 32012,
+  "<|code|>": 32013,
+  "<|continue|>": 32009,
+  "<|data|>": 32032,
+  "<|diff_marker|>": 32025,
+  "<|disc_sep|>": 32029,
+  "<|disc_start|>": 32028,
+  "<|disc_thread|><|query|>": 32030,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|fim_middle|>": 32021,
+  "<|fim_prefix|>": 32020,
+  "<|fim_suffix|>": 32022,
+  "<|function_call|>": 32005,
+  "<|function_list|>": 32011,
+  "<|function_output|>": 32003,
+  "<|ghissue|>": 32026,
+  "<|ghreview|>": 32027,
+  "<|inst|>": 32036,
+  "<|ipynb_marker|>": 32024,
+  "<|message|>": 32019,
+  "<|meta_start|>": 32023,
+  "<|raw|>": 32008,
+  "<|resource|>": 32016,
+  "<|start|>": 32018,
+  "<|step|>": 32002,
+  "<|summary|>": 32015,
+  "<|system|>": 32006,
+  "<|sys|>": 32034,
+  "<|tag|>": 32004,
+  "<|user|>": 32010
+}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 2047,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32064
+}

convert.py

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+from transformers import AutoModelForCausalLM
+import torch
+from safetensors.torch import save_file
+
+model = AutoModelForCausalLM.from_pretrained("Josephgflowers/Phi-3-mini-4k-instruct-Cinder-with-16bit-GGUF", trust_remote_code=True)
+
+params = model.state_dict()
+params2 = {}
+
+for r in params.keys():
+    if "gate_up_proj" in r:
+        (gate, up) = params[r].chunk(2)
+        params2[r.replace("gate_up_proj", "gate_proj")] = gate
+        params2[r.replace("gate_up_proj", "up_proj")] = up
+    elif "qkv_proj" in r:
+        (q, k, v) = params[r].chunk(3)
+        params2[r.replace("qkv_proj", "q_proj")] = q
+        params2[r.replace("qkv_proj", "k_proj")] = k
+        params2[r.replace("qkv_proj", "v_proj")] = v
+    else:
+        params2[r] = params[r]
+
+for r in params2.keys():
+    params2[r] = torch.tensor(params2[r].clone().detach(), dtype=torch.bfloat16)
+
+save_file(params2, "model-00001-of-00001.safetensors", metadata={"format": "pt"})

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    32000,
+    32007
+  ],
+  "pad_token_id": 32000,
+  "transformers_version": "4.39.3"
+}

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+    "32018": {
+      "content": "<|start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32019": {
+      "content": "<|message|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32020": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32021": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32022": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32023": {
+      "content": "<|meta_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32024": {
+      "content": "<|ipynb_marker|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32025": {
+      "content": "<|diff_marker|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32026": {
+      "content": "<|ghissue|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32027": {
+      "content": "<|ghreview|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32028": {
+      "content": "<|disc_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32029": {
+      "content": "<|disc_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32030": {
+      "content": "<|disc_thread|><|query|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32031": {
+      "content": "<|/query|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32032": {
+      "content": "<|data|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32033": {
+      "content": "<|/data|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32034": {
+      "content": "<|sys|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32035": {
+      "content": "<|/sys|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32036": {
+      "content": "<|inst|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32037": {
+      "content": "<|/inst|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|/inst|>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|end|>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}