---
language:
- en
- zh
- ja
- de
license: gpl-3.0
tags:
- mlx
datasets:
- JosephusCheung/GuanacoDataset
- meta-math/MetaMathQA
- jondurbin/airoboros-3.1
- WizardLM/WizardLM_evol_instruct_V2_196k
- RyokoAI/ShareGPT52K
- RyokoAI/Fandom23K
- milashkaarshif/MoeGirlPedia_wikitext_raw_archive
- wikipedia
- wiki_lingua
- garage-bAInd/Open-Platypus
- LDJnr/Puffin
- BAAI/COIG
- TigerResearch/tigerbot-zhihu-zh-10k
- liwu/MNBVC
- teknium/openhermes
- CausalLM/Refined-Anime-Text
- microsoft/orca-math-word-problems-200k
- m-a-p/CodeFeedback-Filtered-Instruction
---

# mlx-community/35b-beta-long-8bit

The Model [mlx-community/35b-beta-long-8bit](https://huggingface.co/mlx-community/35b-beta-long-8bit) was converted to MLX format from [CausalLM/35b-beta-long](https://huggingface.co/CausalLM/35b-beta-long) using mlx-lm version **0.12.0**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/35b-beta-long-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```