metadata
base_model: EpistemeAI/VibeCoder-20b-RL1_0
tags:
- text-generation-inference
- transformers
- unsloth
- gpt_oss
- mlx
- mlx-my-repo
license: apache-2.0
language:
- en
datasets:
- EpistemeAI/vibe-coder-part-debug
wobondar/VibeCoder-20b-RL1_0-mlx-8Bit
The Model wobondar/VibeCoder-20b-RL1_0-mlx-8Bit was converted to MLX format from EpistemeAI/VibeCoder-20b-RL1_0 using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("wobondar/VibeCoder-20b-RL1_0-mlx-8Bit")
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)