README.md

metadata

library_name: transformers
base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
license: apache-2.0
tags:
  - mlx

cnfusion/Rombos-LLM-V2.5-Qwen-32b-Q4-mlx

The Model cnfusion/Rombos-LLM-V2.5-Qwen-32b-Q4-mlx was converted to MLX format from rombodawg/Rombos-LLM-V2.5-Qwen-32b using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("cnfusion/Rombos-LLM-V2.5-Qwen-32b-Q4-mlx")

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)