---
license: llama3
tags:
- generated_from_trainer
- axolotl
- mlx
base_model: meta-llama/Meta-Llama-3-70B
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
model-index:
- name: out
  results: []
---

# mlx-community/dolphin-2.9.1-llama-3-70b-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9.1-llama-3-70b`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-70b) 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-2.9.1-llama-3-70b-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```