RWKV-7 G1 7.2B β€” int4 RTN for rwkv-sglang (fits a 16 GB card)

Hand-written weight-only int4 (calibration-free RTN, symmetric, group 64) quantization of BlinkDL's RWKV-7 "Goose" G1 7.2B, for the rwkv-sglang serving overlay. Same on-disk format and same serving kernel as the GPTQ sibling β€” identical speed, RTN gives up some accuracy in exchange for needing no calibration data.

  • Accuracy: greedy decoding is token-for-token EXACT on the oracle fixture (8/8), measured on a real T4 (16 GB): 32.9 tok/s bsz1, 6.7 GB peak. lambada βˆ’2.64pt vs fp16 (the GPTQ sibling halves that to βˆ’1.28pt). MATH500 avg@64 was measured on the GPTQ sibling (61.08% vs fp16's 64.18%, βˆ’3.1pt), not on this RTN build β€” prefer rwkv7-sglang-w4gptq-7.2b as the primary 7.2B int4 checkpoint; this RTN build is the calibration-free baseline.
  • Runs a 7.2B model on a 16 GB GPU: checkpoint 4.6 GB (vs 14.4 GB fp16).
  • Speed: int4 decode faster than fp16 at small batch on every tested arch (identical to the GPTQ sibling β€” same kernel).

Where this fits

This checkpoint loads through the rwkv-sglang overlay. Native RWKV-7 support is being upstreamed into SGLang β€” see sgl-project/sglang#30115; once that lands the overlay is no longer required.

If you want RWKV-7 without quantization or a custom runtime, the same base weights are also published in standard HuggingFace layout β€” plain safetensors, ordinary config.json, no trust_remote_code:

Transformers support for the architecture itself is open as huggingface/transformers#47780.

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 scripts/deploy.sh   # from github.com/Hakureirm/rwkv-sglang, built against sglang v0.5.10.post1 β€” newer releases need the overlay rebased
RWKV_W4=1 python -m sglang.launch_server --model-path <this-dir> --dtype float16 \
  --trust-remote-code --disable-radix-cache --mem-fraction-static 0.8

LoRA/norm/embedding/head stay full precision. Base model Β© BlinkDL (Bo Peng), Apache-2.0.

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