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RWKV 4 PilePlus 3B 20230520 3147 520Gtokens Ctx4096 by KnutJaegersberg

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  Endpoints compatible   Pytorch   Region:us   Rwkv
Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/RWKV-4-PilePlus-3B-20230520-3147-520Gtokens-ctx4096 

RWKV 4 PilePlus 3B 20230520 3147 520Gtokens Ctx4096 Benchmarks

LLME Score: 0.10394
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RWKV 4 PilePlus 3B 20230520 3147 520Gtokens Ctx4096 (KnutJaegersberg/RWKV-4-PilePlus-3B-20230520-3147-520Gtokens-ctx4096)
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RWKV 4 PilePlus 3B 20230520 3147 520Gtokens Ctx4096 Parameters and Internals

Additional Notes 
This model is a standard conversion to HF Transformers format.
Training Details 
Data Volume:
0.8 trillion tokens
LLM NameRWKV 4 PilePlus 3B 20230520 3147 520Gtokens Ctx4096
Repository 🤗https://huggingface.co/KnutJaegersberg/RWKV-4-PilePlus-3B-20230520-3147-520Gtokens-ctx4096 
Model Size3b
Required VRAM6 GB
Updated2025-09-23
MaintainerKnutJaegersberg
Model Typerwkv
Model Files  6.0 GB
Model ArchitectureAutoModel
Licenseapache-2.0
Transformers Version4.32.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50277

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/RWKV-4-PilePlus-3B-20230520-3147-520Gtokens-ctx4096.

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Release v20241124
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