metadata
base_model: EpistemeAI/Codeforce-metatune-gpt20b
tags:
- text-generation-inference
- transformers
- unsloth
- gpt_oss
- mlx
license: apache-2.0
language:
- en
pipeline_tag: text-generation
library_name: mlx
Codeforce-metatune-gpt20b-q8-hi-mlx
This model Codeforce-metatune-gpt20b-q8-hi-mlx was converted to MLX format from EpistemeAI/Codeforce-metatune-gpt20b using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Codeforce-metatune-gpt20b-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)