Pre-Quantized Models
Collection
Pre-quantized safetensor models (GPTQ/AutoRound) and their optimization scripts, ready to be compiled for SiMa.ai hardware. • 36 items • Updated
Pre-LLiMa Hugging Face checkpoint for Sima.ai compilation.
Linear layers and lm_head: GPTQ, symmetric INT4, group size 128, static actorder.HuggingFaceH4/ultrachat_200k, 512 samples, 1024 tokens, batch size 1.EleutherAI/wikitext_document_level, wikitext-2-raw-v1, full matched run (2026-07-16).
| Checkpoint | Word perplexity |
|---|---|
google/gemma-3-1b-it |
35.970619 |
| This GPTQ checkpoint | 42.386377 |
python quantize.py --model-path /project/mlasw/share/huggingface/models--google--gemma-3-1b-it --output-dir /path/to/output
Saved scales were checked for finite values. Transformers load/generation smoke test is pending. Do not publish this artifact without resolving its quality regression and recording the smoke test.