language: | |
- en | |
license: llama3 | |
tags: | |
- mlx | |
datasets: | |
- cognitivecomputations/Dolphin-2.9 | |
- teknium/OpenHermes-2.5 | |
- m-a-p/CodeFeedback-Filtered-Instruction | |
- cognitivecomputations/dolphin-coder | |
- cognitivecomputations/samantha-data | |
- HuggingFaceH4/ultrachat_200k | |
- microsoft/orca-math-word-problems-200k | |
- abacusai/SystemChat-1.1 | |
- Locutusque/function-calling-chatml | |
- internlm/Agent-FLAN | |
# 3thn/dolphin-2.9-llama3-70b-4bit | |
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.10.0**. | |
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model. | |
## Use with mlx | |
```bash | |
pip install mlx-lm | |
``` | |
```python | |
from mlx_lm import load, generate | |
model, tokenizer = load("3thn/dolphin-2.9-llama3-70b-4bit") | |
response = generate(model, tokenizer, prompt="hello", verbose=True) | |
``` | |