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