metadata

license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
  - vllm
  - mlx
base_model: openai/gpt-oss-20b

Shashikant86/gpt-oss-20b-8bit-mlx

This model Shashikant86/gpt-oss-20b-8bit-mlx was converted to MLX format from openai/gpt-oss-20b using mlx-lm version 0.26.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Shashikant86/gpt-oss-20b-8bit-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)