README.md

metadata

license: mit
base_model: nomic-ai/CodeRankLLM
library_name: mlx
tags:
  - mlx
pipeline_tag: text-generation

arthurcollet/CodeRankLLM-mlx

This model arthurcollet/CodeRankLLM-mlx was converted to MLX format from nomic-ai/CodeRankLLM using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("arthurcollet/CodeRankLLM-mlx")

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)