metadata
base_model: EpistemeAI/VCoder-120b-1.0
tags:
- text-generation-inference
- transformers
- unsloth
- gpt_oss
- mlx
license: apache-2.0
language:
- en
datasets:
- EpistemeAI/vibe-coder-part-debug
library_name: mlx
pipeline_tag: text-generation
VCoder-120b-1.0-q8-hi-mlx
Uploaded for testing, get it while it's hot
Good coding model: if it gets 2 likes, it stays in catalog. Was hoping for 5, just 2 would do.
-G
This model VCoder-120b-1.0-q8-hi-mlx was converted to MLX format from EpistemeAI/VCoder-120b-1.0 using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("VCoder-120b-1.0-q8-hi-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)