Model save
Browse files- README.md +58 -0
- generation_config.json +12 -0
- model-00001-of-00007.safetensors +1 -1
- model-00002-of-00007.safetensors +1 -1
- model-00003-of-00007.safetensors +1 -1
- model-00004-of-00007.safetensors +1 -1
- model-00005-of-00007.safetensors +1 -1
- model-00006-of-00007.safetensors +1 -1
- model-00007-of-00007.safetensors +1 -1
README.md
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---
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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library_name: transformers
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model_name: Meta-Llama-3-8B-Instruct_Mixture-of-Thoughts-all-4k-with_reasoning
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for Meta-Llama-3-8B-Instruct_Mixture-of-Thoughts-all-4k-with_reasoning
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="CohenQu/Meta-Llama-3-8B-Instruct_Mixture-of-Thoughts-all-4k-with_reasoning", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yuxiao98/uncategorized/runs/02e1s5k9)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.17.0
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- Transformers: 4.55.2
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- Pytorch: 2.8.0
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- Datasets: 4.0.0
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- Tokenizers: 0.21.4
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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generation_config.json
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{
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128009
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],
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"max_length": 4096,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.55.2"
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}
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