metatune-gpt20b-R1.1-q8-hi-mlx
Metrics aren't everything. It's a great model. The qx86-hi is more fun than q8-hi. Enjoy the quant.
This model metatune-gpt20b-R1.1-q8-hi-mlx was converted to MLX format from EpistemeAI/metatune-gpt20b-R1.1 using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("metatune-gpt20b-R1.1-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)
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Model tree for nightmedia/metatune-gpt20b-R1.1-q8-hi-mlx
Base model
openai/gpt-oss-20b
Quantized
unsloth/gpt-oss-20b-unsloth-bnb-4bit
Quantized
EpistemeAI/metatune-gpt20b-R1.1