README.md

metadata

license: mit
library_name: transformers
datasets:
  - PrimeIntellect/verifiable-coding-problems
  - likaixin/TACO-verified
  - livecodebench/code_generation_lite
language:
  - en
base_model: agentica-org/DeepCoder-14B-Preview
pipeline_tag: text-generation
tags:
  - mlx

justinmeans/DeepCoder-14B-Preview-mlx-8Bit

The Model justinmeans/DeepCoder-14B-Preview-mlx-8Bit was converted to MLX format from agentica-org/DeepCoder-14B-Preview using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("justinmeans/DeepCoder-14B-Preview-mlx-8Bit")

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)