---
base_model: Qwen/Qwen2-7B
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
license: apache-2.0
tags:
- generated_from_trainer
- axolotl
- mlx
---

# mlx-community/dolphin-2.9.2-qwen2-7b-4bit

The Model [mlx-community/dolphin-2.9.2-qwen2-7b-4bit](https://huggingface.co/mlx-community/dolphin-2.9.2-qwen2-7b-4bit) was converted to MLX format from [cognitivecomputations/dolphin-2.9.2-qwen2-7b](https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-7b) 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("mlx-community/dolphin-2.9.2-qwen2-7b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```