FastApply-1.5B-v1.0-mlx-fp16/README.md

base_model, language, license, tags

base_model	language	license	tags
Kortix/FastApply-1.5B-v1.0	en	apache-2.0	text-generation-inference transformers unsloth qwen2 trl sft fast-apply instant-apply mlx mlx-my-repo

dangerusslee/FastApply-1.5B-v1.0-mlx-fp16

The Model dangerusslee/FastApply-1.5B-v1.0-mlx-fp16 was converted to MLX format from Kortix/FastApply-1.5B-v1.0 using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("dangerusslee/FastApply-1.5B-v1.0-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)