--- license: apache-2.0 base_model: BlinkDL/rwkv7-g1 pipeline_tag: text-generation tags: - rwkv - rwkv7 - int4 - gptq - quantized --- # RWKV-7 G1 7.2B — int4 GPTQ for rwkv-sglang (fits a 16 GB card) Hand-written **weight-only int4** (GPTQ-calibrated, symmetric, group 64) quantization of BlinkDL's RWKV-7 "Goose" G1 7.2B, for the [rwkv-sglang](https://github.com/Hakureirm/rwkv-sglang) serving overlay. - **Accuracy: near-lossless at this size.** MATH500 avg@64 (500 problems × 64 rollouts): **61.08% vs fp16's 64.18% (−3.1pt)** — the same symmetric GPTQ scheme that loses 25.6pt at 1.5B costs three points at 7.2B; bigger models quantize better, measured not assumed. Greedy decoding is **token-for-token EXACT** on the oracle fixture (8/8); 192/192 projections GPTQ-quantized (streamed Hessian calibration, no RTN fallback). - **Runs a 7.2B model on a 16 GB GPU:** checkpoint **4.6 GB** (vs 14.4 GB fp16); the int4 path serves 7.2B in well under 16 GB total. On a real T4 (16 GB) the sibling RTN build measured greedy 8/8 EXACT, 32.9 tok/s bsz1, peak 6.7 GB. - **Speed:** int4 decode faster than fp16 at small batch on every tested arch. ## Format & loading (important) Not a drop-in HuggingFace checkpoint. Group-wise (GROUP=64) symmetric int4 (`.qweight` + `.scale`); loads **only** through the rwkv-sglang overlay: ```bash bash scripts/deploy.sh # from github.com/Hakureirm/rwkv-sglang, onto sglang v0.5.10.post1 RWKV_W4=1 python -m sglang.launch_server --model-path --dtype float16 \ --trust-remote-code --disable-radix-cache --mem-fraction-static 0.8 ``` LoRA/norm/embedding/head stay full precision. Base model © BlinkDL (Bo Peng), Apache-2.0.