Modelpublic

chris320211/smoothquant-qwen25-15b-g52xlarge

sourceHugging Facemitupdated 6d agoView on Hugging Face

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Model Card

SmoothQuant Qwen/Qwen2.5-1.5B-Instruct

Quantized derivative of `Qwen/Qwen2.5-1.5B-Instruct`. Not Hub fp16. Weights are the packed/runtime artifact from job 20260920T220639Z-9e4555.

WikiText-2 (test, 2048-token windows, 65504 tokens)

Measured on NVIDIA A10G (g5.2xlarge) against the original fp16 snapshot. Numbers copied from jobs/20260920T220639Z-9e4555/benchmark.json.

	Quantized	fp16 snapshot
Perplexity	10.066860	9.579098
NLL loss	2.309249	2.259583
Tokens/s (2048 prefill, after warmup)	10427.5	11103.1
Peak VRAM (GB)	4.682	5.844

—ppl_ratio: 1.050919 (quality_ok=True)
—improved_throughput: False
—improved_vram: True

Pull

python

from huggingface_hub import snapshot_download
path = snapshot_download("chris320211/smoothquant-qwen25-15b-g52xlarge")

This is not a drop-in AutoModelForCausalLM.from_pretrained checkpoint. Reload with the included quant_agent_inference_adapter.py after the method repo (and overlay, if any) is on QUANT_AGENT_METHOD_REPO. See quantization_config.json.

License

Base model license (MIT for Phi-3) plus the method repository license. Keep LICENSE / NOTICE.md from the snapshot when present.