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Rwkv 4 7B Pile by RWKV

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  Autotrain compatible   Dataset:eleutherai/pile   Endpoints compatible   Pytorch   Region:us   Rwkv   Sharded
Model Card on HF 🤗: https://huggingface.co/RWKV/rwkv-4-7b-pile 

Rwkv 4 7B Pile Benchmarks

ARC: 39.68 vs 96.7 (so35)-59%
HellaSwag: 66.31 vs 95.3 (gpt4)-30.4%
MMLU: 24.96 vs 88.3 (so35)-71.7%
TruthfulQA: 33.65 vs 59 (gpt4)-43%
WinoGrande: 62.35 vs 87.5 (gpt4)-28.7%
GSM8K: 0.76 vs 96.4 (so35)-99.2%
LLME Score: 0.14001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Rwkv 4 7B Pile Parameters and Internals

Model Type 
RNN, transformer-level, LLM
Training Details 
Data Sources:
EleutherAI/pile
Model Architecture:
RWKV is an RNN with transformer-level performance. It combines features of RNN and transformer architectures.
LLM NameRwkv 4 7B Pile
Repository 🤗https://huggingface.co/RWKV/rwkv-4-7b-pile 
Model Size7b
Required VRAM30.4 GB
Updated2025-06-09
MaintainerRWKV
Model Typerwkv
Model Files  2.0 GB: 1-of-17   1.8 GB: 2-of-17   1.8 GB: 3-of-17   1.8 GB: 4-of-17   1.8 GB: 5-of-17   1.8 GB: 6-of-17   1.8 GB: 7-of-17   1.8 GB: 8-of-17   1.8 GB: 9-of-17   1.8 GB: 10-of-17   1.8 GB: 11-of-17   1.8 GB: 12-of-17   1.8 GB: 13-of-17   1.8 GB: 14-of-17   1.8 GB: 15-of-17   1.8 GB: 16-of-17   1.4 GB: 17-of-17
Model ArchitectureRwkvForCausalLM
Transformers Version4.29.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50277
Torch Data Typefloat32
Rwkv 4 7B Pile (RWKV/rwkv-4-7b-pile)

Best Alternatives to Rwkv 4 7B Pile

Best Alternatives
Context / RAM
Downloads
Likes
V5 Eagle 7B HF0K / 15 GB705773
V5 EagleX V2 7B HF0K / 15 GB5013
V5 EagleX 7B0K / 15 GB202
V5 Eagle 7B 1 0T HF0K / 15 GB271
Hermes RWKV V5 7B HF0K / 15 GB184
Rwkv Raven 7B0K / 30.4 GB20918
Note: green Score (e.g. "73.2") means that the model is better than RWKV/rwkv-4-7b-pile.

Rank the Rwkv 4 7B Pile Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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