From b952532d32c49a589739d78feae3741163f785d2 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 18 Jun 2026 11:15:17 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: mkurman/llama-3.2-MEDIT-3B-o1 Source: Original Platform --- .gitattributes | 39 + LICENSE.txt | 111 ++ README.md | 156 +++ config.json | 41 + generation_config.json | 12 + llama-3.2-MedIT-3B-o1-GGUF.gguf | 3 + model-00001-of-00002.safetensors | 3 + model-00002-of-00002.safetensors | 3 + model.safetensors.index.json | 1 + special_tokens_map.json | 16 + tokenizer.json | 3 + tokenizer_config.json | 2063 ++++++++++++++++++++++++++++++ 12 files changed, 2451 insertions(+) create mode 100644 .gitattributes create mode 100644 LICENSE.txt create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 llama-3.2-MedIT-3B-o1-GGUF.gguf create mode 100644 model-00001-of-00002.safetensors create mode 100644 model-00002-of-00002.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..836361a --- /dev/null +++ b/.gitattributes @@ -0,0 +1,39 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text +llama-3.2-MedIT-3B-Instruct-GGUF filter=lfs diff=lfs merge=lfs -text +llama-3.2-MedIT-3B-Instruct-GGUF.gguf filter=lfs diff=lfs merge=lfs -text +llama-3.2-MedIT-3B-o1-GGUF.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..085b47c --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,111 @@ +LLAMA 3.2 COMMUNITY LICENSE AGREEMENT +Llama 3.2 Version Release Date: September 25, 2024 + +“Agreement” means the terms and conditions for use, reproduction, distribution +and modification of the Llama Materials set forth herein. + +“Documentation” means the specifications, manuals and documentation accompanying Llama 3.2 +distributed by Meta at https://llama.meta.com/doc/overview. + +“Licensee” or “you” means you, or your employer or any other person or entity (if you are +entering into this Agreement on such person or entity’s behalf), of the age required under +applicable laws, rules or regulations to provide legal consent and that has legal authority +to bind your employer or such other person or entity if you are entering in this Agreement +on their behalf. + +“Llama 3.2” means the foundational large language models and software and algorithms, including +machine-learning model code, trained model weights, inference-enabling code, training-enabling code, +fine-tuning enabling code and other elements of the foregoing distributed by Meta at +https://www.llama.com/llama-downloads. + +“Llama Materials” means, collectively, Meta’s proprietary Llama 3.2 and Documentation (and +any portion thereof) made available under this Agreement. + +“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, +if you are an entity, your principal place of business is in the EEA or Switzerland) +and Meta Platforms, Inc. 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The courts of California shall have exclusive jurisdiction of +any dispute arising out of this Agreement. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..77b2516 --- /dev/null +++ b/README.md @@ -0,0 +1,156 @@ +--- +license: llama3.2 +datasets: +- O1-OPEN/OpenO1-SFT +language: +- en +base_model: +- meta-llama/Llama-3.2-3B-Instruct +library_name: transformers +tags: +- reasoning +- o1 +--- + +# Model Card: mkurman/llama-3.2-MEDIT-3B-o1 + +This model is a variant of **o1-like reasoning** that has been fine-tuned on **MedIT Solutions Llama 3.2 3B Instruct** (a variant of **Meta LLama 3.2 3B Instruct**). The model introduces specific tags (`` and ``) for chain-of-thought style text generation, with a focus on instruct-style reasoning tasks. +This model was fine-tuned for exact matching rather than generating a diverse distribution. Therefore, I recommend testing it with `do_sample=False` or setting `temperature=0.0` for deterministic outputs. + +--- + +## Model Details + +**Model name**: `mkurman/llama-3.2-MEDIT-3B-o1` +**Type**: Small Language Model (SLM) +**Base model**: [MedIT Solutions](https://huggingface.co/meditsolutions) Llama 3.2 3B Instruct (derived from Meta Llama 3.2 3B Instruct) +**Architecture**: 3 billion parameters +**License**: llama3.2 + +**Intended Use Cases**: +- General question answering +- Instruction-based generation +- Reasoning and chain-of-thought exploration + +**Not Recommended For**: +- Sensitive, real-world medical diagnosis without expert verification +- Highly domain-specific or regulated fields outside the model’s training scope + +--- + +## Usage + +### Important Notes on Usage + +1. **Stop strings**: + Because the model uses `` and `` tags to separate internal reasoning from the final answer, you must supply `` as a stop sequence (or multiple stop sequences, if your framework allows) to avoid the model generating infinitely. + +2. **Preventing `<|python_tag|>` bug**: + Sometimes the model starts with `<|python_tag|>` instead of the intended ``. As a workaround, add `"\n\n"` to the **end of your generation prompt** (in your chat template) to ensure it starts correctly. + +3. **Libraries/Tools**: + - **Ollama** and **LM Studio**: Via GGUF file. + - **Jupyter Notebook** (or similar): Using the [Transformers library](https://github.com/huggingface/transformers). + +--- + +### In Ollama or LM Studio + +If you are loading the GGUF file, follow the instructions provided by Ollama or LM Studio. Typically, it involves placing the model file in the appropriate directory and selecting it within the interface. + +> **Example** (in Ollama CLI): +> ```bash +> ollama run hf.co/mkurman/llama-3.2-MEDIT-3B-o1 +> ``` + +You can then issue prompts. Make sure to set stop sequences to `` (and possibly `` if your environment supports multiple stops). + +--- + +### In a Jupyter Notebook or Python Script (Transformers) + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM + +# 1. Load the tokenizer and model +tokenizer = AutoTokenizer.from_pretrained("mkurman/llama-3.2-MEDIT-3B-o1") +model = AutoModelForCausalLM.from_pretrained("mkurman/llama-3.2-MEDIT-3B-o1") + +# 2. Define and encode your prompt +# Add '\n\n' at the end if you want to ensure +# the model uses the correct reasoning tag. +prompt = [{'role': 'user', 'content': 'Write a short instagram post about hypertension in children. Finish with 3 hashtags'}] +input_ids = tokenizer(tokenizer.apply_chat_template(prompt, tokenize=False, add_generation_prompt=True) + '\n\n', return_tensors='pt') + +# 3. Generate response with stop sequences (if your generation method supports them) +# If your method doesn't support stop sequences directly, +# you can manually slice the model's output at ''. +output = model.generate( + input_ids=input_ids, + max_new_tokens=256, + do_sample=False, #or True with temperature 0.0 + temperature=0.0, + # Some generation methods or libraries allow specifying stop sequences. + # This is an example if your environment supports it. + # stop=[""] +) + +# 4. Decode the output +decoded_output = tokenizer.decode(output[0], skip_special_tokens=True) +print(decoded_output) +``` + +**Note**: If your generation library does not allow direct stop sequences, you can manually parse and remove any tokens that appear after ``. + +--- + +## Example Prompt/Response + +**Prompt**: +``` + + +``` +*(Remember to add `\n\n` at the end if you see the `<|python_tag|>` bug.)* + +**Model’s Reasoning** (`` block): +``` +Exercise improves heart function by ... +``` + +**Model’s Final Answer** (`` block): +``` +Regular exercise has been shown to ... + +``` + +You would display the `` portion as the final user-facing answer. + +--- + +## Limitations and Bias + +- **Hallucination**: The model may generate plausible-sounding but incorrect or nonsensical answers. +- **Medical Information**: Never rely on this model as a source of truth! **this model is not a certified medical professional**. Always verify with qualified experts before acting on medical advice. +- **Biases**: The model’s outputs may reflect biases present in the training data. Users should evaluate content for fairness and accuracy. + +--- + +## License and Citation + +Please refer to the base model’s [Llama 3.2 Community License Agreement](LICENSE.txt) and any additional licenses from MedIT Solutions. If you use this model in your work, please cite: + +``` +@misc{mkurman2025llama3medit3bo1, + title={{mkurman/llama-3.2-MEDIT-3B-o1}: A fine-tuned Llama 3.2 3B Instruct model for reasoning tasks}, + author={Kurman, Mariusz}, + year={2025}, + howpublished={\url{https://huggingface.co/mkurman/llama-3.2-MEDIT-3B-o1}} +} +``` + +--- + +## Contact + +For questions, comments, or issues related to `mkurman/llama-3.2-MEDIT-3B-o1`, please open an [issue on the model repository](https://huggingface.co/mkurman/llama-3.2-MEDIT-3B-o1) or contact [mkurman](https://huggingface.co/mkurman). \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..b3e8011 --- /dev/null +++ b/config.json @@ -0,0 +1,41 @@ +{ + "_name_or_path": "/home/mkurman/gitlab/ai/model-trainer/results/llama-o4/2024-12-30 21_11_27/checkpoint-2200", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + 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%}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "pad_token": "<|eot_id|>", + "tokenizer_class": "PreTrainedTokenizerFast" +} \ No newline at end of file