library_name: mlx
license: apache-2.0
pipeline_tag: text-generation
tags:
- mlx
base_model: DavidAU/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4
OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4-q8-hi-mlx
Perplexity: 5.920 ± 0.050
Evaluation time: 154.99 seconds
Peak memory: 17.93 GB
Tokens per second: 844
Detailed metrics coming soon.
-G
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4-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, return_dict=False,
)OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4
response = generate(model, tokenizer, prompt=prompt, verbose=True)