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SII-Jiaquan/StateDiffRWKV-2.9B-512-pretrained
StateDiffRWKV-2.9B-512-pretrained is a machine learning model from SII-Jiaquan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as other.
This private release contains a DiffRWKV State-Hijacking RELAY checkpoint plus the minimal inference code needed to load it.
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Updated Jul 6, 2026
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From the Hugging Face model README
This private release contains a DiffRWKV State-Hijacking RELAY checkpoint plus the minimal inference code needed to load it.
model.pt: trainable RELAY checkpoint only. It does not include the frozen RWKV backbone weights.configs/rwkv_relay_2.9B_state_hijack_dit_vae32_traj32x16.yaml: training/inference config used by the checkpoint.models/state_hijacking_dit.py: RELAY model implementation.scripts/eval/relay_utils.py: checkpoint loader.scripts/eval/sample_prefix_suffix_trajectory_cfg.py: inference entrypoint.manifest.json: size, SHA256, source path, and step metadata.RWKV/RWKV7-Goose-World3-2.9B-HF
The loader expects the base RWKV path in the checkpoint config to exist locally. If your path differs, edit cfg.model.rwkv_local_path in scripts/eval/relay_utils.py after loading or patch the config before constructing the model.
pip install -r requirements.txt
pip install flash-linear-attention fla-core
Use the same FLA build as the training environment when reporting numbers.
CUDA_VISIBLE_DEVICES=0 python scripts/eval/sample_prefix_suffix_trajectory_cfg.py --ckpt_dir . --prompt 'The history of artificial intelligence' --output sample.json --steps 100 --cfg_scale 3 --max_new_tokens 512 --trajectory_s1_mode independent --trajectory_state_blend 0.7 --temperature 0.5 --top_k 5 --top_p 0.7 --repetition_penalty 1.2
huggingface-cli repo create SII-Jiaquan/StateDiffRWKV-2.9B-512-pretrained --type model --private
huggingface-cli upload SII-Jiaquan/StateDiffRWKV-2.9B-512-pretrained . . --repo-type model