| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| - axolotl | |
| - mlx | |
| base_model: mistralai/Mistral-Nemo-Base-2407 | |
| datasets: | |
| - cognitivecomputations/Dolphin-2.9 | |
| - teknium/OpenHermes-2.5 | |
| - m-a-p/CodeFeedback-Filtered-Instruction | |
| - cognitivecomputations/dolphin-coder | |
| - cognitivecomputations/samantha-data | |
| - microsoft/orca-math-word-problems-200k | |
| - Locutusque/function-calling-chatml | |
| - internlm/Agent-FLAN | |
| # mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit | |
| The Model [mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit](https://huggingface.co/mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit) was converted to MLX format from [cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b](https://huggingface.co/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b) using mlx-lm version **0.16.1**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/Dolphin-2.9.3-mistral-nemo-12b-4bit") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |