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--- |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
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datasets: |
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- cerebras/SlimPajama-627B |
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- bigcode/starcoderdata |
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- HuggingFaceH4/ultrachat_200k |
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- HuggingFaceH4/ultrafeedback_binarized |
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language: |
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- en |
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widget: |
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- example_title: Fibonacci (Python) |
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messages: |
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- role: system |
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content: You are a chatbot who can help code! |
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- role: user |
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content: Write me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI. |
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tags: |
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- transformers |
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- safetensors |
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- finetuned |
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- 4-bit |
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- AWQ |
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- text-generation |
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- text-generation-inference |
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- autotrain_compatible |
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- endpoints_compatible |
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- chatml |
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model_creator: TinyLlama |
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model_name: TinyLlama-1.1B-Chat-v1.0 |
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inference: false |
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pipeline_tag: text-generation |
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quantized_by: Suparious |
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--- |
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# TinyLlama/TinyLlama-1.1B-Chat-v1.0 AWQ |
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- Model creator: [TinyLlama](https://huggingface.co/TinyLlama) |
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- Original model: [TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) |
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## Model Summary |
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This is the chat model finetuned on top of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T). **We follow [HF's Zephyr](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha)'s training recipe.** The model was " initially fine-tuned on a variant of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. |
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We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contain 64k prompts and model completions that are ranked by GPT-4." |
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