CARDS-Wind-Gemma4-12B-GPTQ-w4a16
int4 (W4A16) quantization of C3DS/CARDS-Wind-Gemma4-12B via
llm-compressor, using GPTQ.
Why int4
Built to serve on NVIDIA A2 (GA107, SM86). FP8 needs SM89+, so the sibling FP8 checkpoint has no hardware path on Ampere. int4 W4A16 runs on vLLM's Marlin kernels (SM80+), and is the only 4-bit format in vLLM that also supports runtime LoRA adapters.
Calibration
- 512 samples from
iRanadheer/cards-wind-qwen-chat(gemma4/train.jsonl) - max_seq_length 2048, rendered through the model's own chat template
- In-domain by design: this model spends most of every sequence inside a fixed system prompt, so a generic calibration corpus would not match serve-time activations.
lm_head, the tied embedding table, and the vision/audio projection layers
(including vision_embedder.patch_dense on the encoder-free unified arch) are
left in BF16.
Serving
vllm serve C3DS/CARDS-Wind-Gemma4-12B-GPTQ-w4a16 --max-model-len 4096 --trust-remote-code
Status
Provisional name. A sibling built with the other quantization method from identical calibration data is published alongside it; the two are being compared on the CARDS test split before one is adopted.
- Downloads last month
- 84
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for C3DS/CARDS-Wind-Gemma4-12B-GPTQ-w4a16
Base model
C3DS/CARDS-Wind-Gemma4-12B