Instructions to use beezu/Anubis-70B-v1-MLX-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use beezu/Anubis-70B-v1-MLX-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Anubis-70B-v1-MLX-8Bit beezu/Anubis-70B-v1-MLX-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 825 Bytes
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license: other
base_model: TheDrummer/Anubis-70B-v1
tags:
- mlx
---
# beezu/Anubis-70B-v1-MLX-8Bit
The Model [beezu/Anubis-70B-v1-Q8-mlx](https://huggingface.co/beezu/Anubis-70B-v1-Q8-mlx) was converted to MLX format from [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1) using mlx-lm version **0.20.5**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("beezu/Anubis-70B-v1-Q8-mlx")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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