metadata
license: agpl-3.0
pipeline_tag: text-generation
tags:
- chemistry
- mlx
- mlx-my-repo
language:
- en
- zh
base-model:
- Qwen/Qwen2.5-14B
base_model: OpenDFM/ChemDFM-R-14B
introvoyz041/ChemDFM-R-14B-mlx-4Bit
The Model introvoyz041/ChemDFM-R-14B-mlx-4Bit was converted to MLX format from OpenDFM/ChemDFM-R-14B using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/ChemDFM-R-14B-mlx-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)