metadata
license: apache-2.0
datasets:
- livecodebench/code_generation_lite
- agentica-org/DeepCoder-Preview-Dataset
- NousResearch/lcb_test
- NousResearch/RLVR_Coding_Problems
base_model: NousResearch/NousCoder-14B
pipeline_tag: text-generation
tags:
- mlx
library_name: mlx
NexVeridian/NousCoder-14B-4bit
This model NexVeridian/NousCoder-14B-4bit was converted to MLX format from NousResearch/NousCoder-14B using mlx-lm version 0.30.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("NexVeridian/NousCoder-14B-4bit")
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)