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: transformers
tags:
- mlx
afimin/Strand-Rust-Coder-14B-v1-mlx-fp16
The Model afimin/Strand-Rust-Coder-14B-v1-mlx-fp16 was converted to MLX format from Fortytwo-Network/Strand-Rust-Coder-14B-v1 using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("afimin/Strand-Rust-Coder-14B-v1-mlx-fp16")
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)