license: wtfpl | |
language: | |
- en | |
- zh | |
- ja | |
- de | |
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 | |
base_model: CausalLM/35b-beta-long | |
tags: | |
- mlx | |
# mlx-community/CausalLM-35b-beta-long-4bit | |
The Model [mlx-community/CausalLM-35b-beta-long-4bit](https://huggingface.co/mlx-community/CausalLM-35b-beta-long-4bit) was | |
converted to MLX format from [CausalLM/35b-beta-long](https://huggingface.co/CausalLM/35b-beta-long) | |
using mlx-lm version **0.20.4**. | |
## Use with mlx | |
```bash | |
pip install mlx-lm | |
``` | |
```python | |
from mlx_lm import load, generate | |
model, tokenizer = load("mlx-community/CausalLM-35b-beta-long-4bit") | |
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) | |
``` | |