| language: | |
| - en | |
| license: mit | |
| tags: | |
| - mlx | |
| base_model: | |
| - unsloth/Phi-3-mini-4k-instruct | |
| datasets: | |
| - cognitivecomputations/Dolphin-2.9.2 | |
| - teknium/OpenHermes-2.5 | |
| - m-a-p/CodeFeedback-Filtered-Instruction | |
| - cognitivecomputations/dolphin-coder | |
| - cognitivecomputations/samantha-data | |
| - microsoft/orca-math-word-problems-200k | |
| - internlm/Agent-FLAN | |
| - cognitivecomputations/SystemChat-2.0 | |
| # mlx-community/dolphin-2.9.2-Phi-3-Medium-4bit | |
| This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9.2-Phi-3-Medium`]() using mlx-lm version **0.12.1**. | |
| Refer to the [original model card](https://huggingface.co./cognitivecomputations/dolphin-2.9.2-Phi-3-Medium) 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/dolphin-2.9.2-Phi-3-Medium-4bit") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |