metadata
license: mit
language:
- en
tags:
- agent
- biology
- code
- mlx
- mlx
- mlx-my-repo
base_model: nightmedia/Biomni-R0-32B-Preview-qx86-hi-mlx
library_name: mlx
pipeline_tag: text-generation
introvoyz041/Biomni-R0-32B-Preview-qx86-hi-mlx-mlx-8Bit
The Model introvoyz041/Biomni-R0-32B-Preview-qx86-hi-mlx-mlx-8Bit was converted to MLX format from nightmedia/Biomni-R0-32B-Preview-qx86-hi-mlx using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/Biomni-R0-32B-Preview-qx86-hi-mlx-mlx-8Bit")
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)