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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- Mixtral |
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- instruct |
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- finetune |
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- chatml |
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- DPO |
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- RLHF |
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- gpt4 |
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- synthetic data |
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- distillation |
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- mlx |
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- mlx |
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base_model: mistralai/Mixtral-8x7B-v0.1 |
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model-index: |
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- name: Nous-Hermes-2-Mixtral-8x7B-DPO |
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results: [] |
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datasets: |
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- euclaise/reddit-instruct-curated |
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- teknium/OpenHermes-2.5 |
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--- |
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# mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx |
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This model was converted to MLX format from [`mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit`]() and finetuned on a dataset of 7k selected Reddit threads. |
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Refer to the [original model card](https://huggingface.co/mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit) for more details on the model. |
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## Use with mlx |
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When using the model use the fromat: |
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Question: [your question] |
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Assistant: |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx") |
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response = generate(model, tokenizer, prompt="Question:ELI5 quantum mechanics. Assistant:", verbose=True) |
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``` |
