| base_model: mistralai/Mistral-7B-v0.1 | |
| datasets: | |
| - Open-Orca/OpenOrca | |
| - pubmed | |
| - medmcqa | |
| - maximegmd/medqa_alpaca_format | |
| language: | |
| - en | |
| license: apache-2.0 | |
| metrics: | |
| - accuracy | |
| tags: | |
| - medical | |
| - mlx | |
| tag: text-generation | |
| # cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5 | |
| The Model [cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5](https://huggingface.co/cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5) was converted to MLX format from [internistai/base-7b-v0.2](https://huggingface.co/internistai/base-7b-v0.2) using mlx-lm version **0.16.0**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |