Instructions to use mlx-community/35b-beta-long-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/35b-beta-long-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir 35b-beta-long-8bit mlx-community/35b-beta-long-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| 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) | |
| ``` | |