README.md

---
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-8bit
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-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```