Gemma 4 31B W4A16 PreTensor
This repository contains the instruction-tuned Gemma 4 31B checkpoint packaged for PreTensor's local NVIDIA CUDA runtime.
- Language weights: compressed-tensors packed INT4, symmetric group size 32
- Language activations and KV cache: BF16
- Vision input: source BF16 tensors, copied without quantization
- Audio input: not present in the 31B source checkpoint
- Tensor payloads: copied from the source checkpoint without requantization
- Runtime path: native NVIDIA CUDA host; WebGPU payloads are not included
The files are valid sharded safetensors. See pretensor_config.json for the
storage contract, source revision, component inventory, and per-shard SHA-256.
Long-context prefill validation
Warm native measurements on NVIDIA RTX PRO 6000 Blackwell Max-Q (CUDA device 0, driver 620.12), after model/graph and exact KV-capacity warm-up. Each result is the median of 3 runs.
| Input tokens | Prefill | Native wall time |
|---|---|---|
| 4,096 | 3,301 tok/s | 1,240.9 ms |
| 16,384 | 2,426 tok/s | 6,752.6 ms |
These figures validate this PreTensor implementation on the stated machine; they are not general hardware-independent model benchmarks.
Package contents
- Language tensors: 1,653
- Vision tensors: 356
- Audio tensors: 0
- Tensor payload: 23,265,085,560 bytes
- Safetensors shards: 6
The tokenizer, processor configuration, chat template, license, and notice are
distributed with the checkpoint. Source revision: 52f3f65bc7a02d555763bc923bd1d9094898219d.
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Model tree for PreDoctor/gemma-4-31B-it-qat-w4a16-ct-PreTensor
Base model
google/gemma-4-31B