nightmedia/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4-q8-hi-mlx

🤗 Hugging Face 来源text-generationapache-2.020.9B 参数42 GBsafetensors✓ 4 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo nightmedia/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored-MXFP4-q8-hi-mlx ./model-folder
需要做种者 →

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)