metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
base_model: ByteDance-Seed/Seed-OSS-36B-Instruct
language:
- en
- zh
catalystsec/Seed-OSS-36B-Instruct-4bit-DWQ
This model was quantized to 4-bit using DWQ with mlx-lm version 0.27.1, distilled from a BF16 teacher model.
| Learning Rate | Total Loss | KL Loss | Activation Loss | Improvement |
|---|---|---|---|---|
| 2e-7 | 0.415 | 0.025 | 0.390 | 15.8% |
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("catalystsec/Seed-OSS-36B-Instruct-4bit-DWQ")
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)