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Download README.md from quantpa/Qwen__Qwen3-4B-Thinking-2507_RTN_w4g128: direct link, hf CLI and curl.
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hf download hf://quantpa/Qwen__Qwen3-4B-Thinking-2507_RTN_w4g128/README.md
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curl -L -o README.md https://huggingface.co/quantpa/Qwen__Qwen3-4B-Thinking-2507_RTN_w4g128/resolve/main/README.md
926 Bytes
metadata
license: apache-2.0
base_model: Qwen/Qwen3-4B-Thinking-2507
tags:
- quantized
- rtn
- 4-bit
- thinking
- reasoning
Qwen__Qwen3-4B-Thinking-2507_RTN_w4g128
This is a 4-bit RTN (Round-To-Nearest) quantized version of Qwen/Qwen3-4B-Thinking-2507.
Quantization Details
- Method: RTN (Round-To-Nearest)
- Bits: 4-bit
- Group Size: 128
- Base Model: Qwen/Qwen3-4B-Thinking-2507
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "quantpa/Qwen__Qwen3-4B-Thinking-2507_RTN_w4g128"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
# Use the model for inference
Model Details
- Quantization: RTN 4-bit
- Original Model: Qwen/Qwen3-4B-Thinking-2507
- Quantized by: quantpa