metadata
license: apache-2.0
language:
- en
base_model: sakmkmk2/Vibe-Coding-Claude-Fable-5
pipeline_tag: text-classification
tags:
- ai
- qwen
- vibecoding
- claude
- mlx
- mlx-my-repo
usermma/Vibe-Coding-Claude-Fable-5-mlx-2Bit
The Model usermma/Vibe-Coding-Claude-Fable-5-mlx-2Bit was converted to MLX format from sakmkmk2/Vibe-Coding-Claude-Fable-5 using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("usermma/Vibe-Coding-Claude-Fable-5-mlx-2Bit")
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)