metadata
license: apache-2.0
datasets:
- Fortytwo-Network/Strandset-Rust-v1
base_model: Fortytwo-Network/Strand-Rust-Coder-14B-v1
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
mlx-community/Strand-Rust-Coder-14B-v1-4bit
This model mlx-community/Strand-Rust-Coder-14B-v1-4bit was converted to MLX format from Fortytwo-Network/Strand-Rust-Coder-14B-v1 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/Strand-Rust-Coder-14B-v1-4bit")
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)