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--- |
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license: other |
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license_name: tongyi-qianwen |
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license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE |
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language: |
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- en |
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- zh |
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pipeline_tag: text-generation |
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tags: |
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- chat |
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--- |
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## This repo contains EXL2 quants of the model. If you need the original weights, please find them [here](https://huggingface.co/anthracite-org/magnum-32b-v1). |
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## Base repo only contains the measurement file, see revisions for your quant of choice. |
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- [measurement.json](https://huggingface.co/anthracite-org/magnum-32b-v1-exl2/tree/main) |
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- [3.0bpw](https://huggingface.co/anthracite-org/magnum-32b-v1-exl2/tree/3.0bpw) |
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- [4.0bpw](https://huggingface.co/anthracite-org/magnum-32b-v1-exl2/tree/4.0bpw) |
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- [5.0bpw](https://huggingface.co/anthracite-org/magnum-32b-v1-exl2/tree/5.0bpw) |
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- [6.0bpw](https://huggingface.co/anthracite-org/magnum-32b-v1-exl2/tree/6.0bpw) |
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- [8.0bpw](https://huggingface.co/anthracite-org/magnum-32b-v1-exl2/tree/8.0bpw) |
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This is the second in a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. This model is fine-tuned on top of [Qwen1.5 32B](https://huggingface.co/Qwen/Qwen1.5-32B). |
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## Prompting |
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Model has been Instruct tuned with the ChatML formatting. A typical input would look like this: |
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```py |
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"""<|im_start|>user |
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Hi there!<|im_end|> |
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<|im_start|>assistant |
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Nice to meet you!<|im_end|> |
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<|im_start|>user |
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Can I ask a question?<|im_end|> |
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<|im_start|>assistant |
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""" |
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``` |
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## Credits |
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Three new general purpose instruction following datasets were added on top of the original Stheno dataset (which had certain low quality entries purged/removed). |
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The first two were designed specifically for the Magnum series, to better address prompt adherence and coherence: |
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- [kalomaze/Opus_Instruct_25k](https://huggingface.co/datasets/kalomaze/Opus_Instruct_25k) |
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- [Nopm/Opus_WritingStruct](https://huggingface.co/datasets/Nopm/Opus_WritingStruct) |
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- [Gryphe/Sonnet3.5-SlimOrcaDedupCleaned](https://huggingface.co/datasets/Gryphe/Sonnet3.5-SlimOrcaDedupCleaned) (A ~16k rows subset) |
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This model has been a team effort, and the credits goes to all members of Anthracite. |
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## Training |
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The training was done for 2 epochs with a learning rate of 1e-05. We used 8x [NVIDIA H100 Tensor Core](https://www.nvidia.com/en-us/data-center/h100/) GPUs for the full-parameter fine-tuning of the model. |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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## Safety |
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... |
