metadata
base_model: luzimu/WebGen-LM-7B
datasets:
- luzimu/WebGen-Bench
language:
- en
library_name: mlx
license: mit
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- code-generation
- mlx
cyan2k/WebGen-LM-7B-mlx-8bit
This model cyan2k/WebGen-LM-7B-mlx-8bit was converted to MLX format from luzimu/WebGen-LM-7B using mlx-lm version 0.27.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cyan2k/WebGen-LM-7B-mlx-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)