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Hakureirm/rwkv7-sglang-w4rtn-7.2b
rwkv7-sglang-w4rtn-7.2b is a text generation model from Hakureirm. Use it when you need the model to write or continue text. It is set up for rwkv. The card lists the license as apache-2.0.
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…
Downloads · 30 days
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Updated Aug 6, 2026
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4.1B
4.9 GB on disk
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.safetensors4.9 GB · 100%
How the weights are stored.
U83.2B · 79%
From the Hugging Face model README
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 — identical speed, RTN gives up some accuracy in exchange for needing no calibration data.
This checkpoint loads through the rwkv-sglang overlay. Native RWKV-7 support is being upstreamed into SGLang — 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 — plain safetensors, ordinary config.json,
no trust_remote_code:
| 0.1B | rwkv7-0.1b-hf |
| 0.4B | rwkv7-0.4b-hf |
| 1.5B | rwkv7-1.5b-hf |
| 2.9B | rwkv7-2.9b-hf |
| 7.2B (G1) | rwkv7-g1h-7.2b-hf |
| Pile 168M | rwkv7-168m-pile-hf |
Transformers support for the architecture itself is open as huggingface/transformers#47780.
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 — 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 © BlinkDL (Bo Peng), Apache-2.0.