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--- |
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license: apache-2.0 |
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tags: |
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- mlx |
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datasets: |
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- ai2_arc |
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- unalignment/spicy-3.1 |
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- codeparrot/apps |
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- facebook/belebele |
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- boolq |
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- jondurbin/cinematika-v0.1 |
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- drop |
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- lmsys/lmsys-chat-1m |
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- TIGER-Lab/MathInstruct |
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- cais/mmlu |
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- Muennighoff/natural-instructions |
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- openbookqa |
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- piqa |
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- Vezora/Tested-22k-Python-Alpaca |
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- cakiki/rosetta-code |
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- Open-Orca/SlimOrca |
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- spider |
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- squad_v2 |
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- migtissera/Synthia-v1.3 |
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- datasets/winogrande |
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- nvidia/HelpSteer |
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- Intel/orca_dpo_pairs |
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- unalignment/toxic-dpo-v0.1 |
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- jondurbin/truthy-dpo-v0.1 |
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- allenai/ultrafeedback_binarized_cleaned |
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--- |
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# mlx-community/bagel-dpo-7b-v0.1-4bit-mlx |
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This model was converted to MLX format from [`jondurbin/bagel-dpo-7b-v0.1`](). |
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Refer to the [original model card](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.1) for more details on the model. |
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## Use with mlx |
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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/bagel-dpo-7b-v0.1-4bit-mlx") |
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response = generate(model, tokenizer, prompt="hello", verbose=True) |
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``` |