README.md

---
license: other
tags:
- merge
- mergekit
- lazymergekit
- mlx
base_model:
- NousResearch/Meta-Llama-3-8B-Instruct
- mlabonne/OrpoLlama-3-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- vicgalle/Configurable-Llama-3-8B-v0.3
- MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3
---

# mlx-community/ChimeraLlama-3-8B-v3-unquantized
This model was converted to MLX format from [`mlabonne/ChimeraLlama-3-8B-v3`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3) 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/ChimeraLlama-3-8B-v3-unquantized")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```