gpt-oss-20b-reap-0.4-bf16

This repository contains a bfloat16 version of the sandeshrajx/gpt-oss-20b-reap-0.4-mxfp4 model.

Model Description

This model is a bfloat16 version of the MXFP4 quantized openai/gpt-oss-20b model.

• Original Model: openai/gpt-oss-20b
• Pruning Method: reap with a compression ratio of 0.4
• Original Quantization Method: MXFP4 weight-only quantization
• Current Format: bfloat16
• Dataset used for pruning/quantization (if applicable): theblackcat102/evol-codealpaca-v1

Usage

You can load this model using the transformers library:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "sandeshrajx/gpt-oss-20b-reap-0.4-bf16"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16)

# Use the model for inference
# ...

License

(Please specify the license of the original model and any modifications)