metadata
language:
- zh
- en
pipeline_tag: text-generation
base_model: jdopensource/JoyAI-LLM-Flash
library_name: mlx
tags:
- mlx
mlx-community/JoyAI-LLM-Flash-4bit-DWQ
This model mlx-community/JoyAI-LLM-Flash-4bit-DWQ was converted to MLX format from jdopensource/JoyAI-LLM-Flash using mlx-lm version 0.30.7.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/JoyAI-LLM-Flash-4bit-DWQ")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)