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Rwkv 4 14B 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-4-14b-pile 

Rwkv 4 14B Pile Benchmarks

ARC: 44.45 vs 96.7 (so35)-54%
HellaSwag: 71.07 vs 95.3 (gpt4)-25.4%
MMLU: 26.12 vs 88.3 (so35)-70.4%
TruthfulQA: 32.04 vs 59 (gpt4)-45.7%
WinoGrande: 65.43 vs 87.5 (gpt4)-25.2%
GSM8K: 0.38 vs 96.4 (so35)-99.6%
LLME Score: 0.13655
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rwkv 4 14B Pile (RWKV/rwkv-4-14b-pile)
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Rwkv 4 14B 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 14B Pile
Repository 🤗https://huggingface.co/RWKV/rwkv-4-14b-pile 
Model Size14b
Required VRAM56.9 GB
Updated2025-07-26
MaintainerRWKV
Model Typerwkv
Model Files  2.0 GB: 1-of-30   2.0 GB: 2-of-30   2.0 GB: 3-of-30   2.0 GB: 4-of-30   1.7 GB: 5-of-30   1.9 GB: 6-of-30   2.0 GB: 7-of-30   2.0 GB: 8-of-30   2.0 GB: 9-of-30   1.7 GB: 10-of-30   1.9 GB: 11-of-30   2.0 GB: 12-of-30   2.0 GB: 13-of-30   2.0 GB: 14-of-30   1.7 GB: 15-of-30   1.9 GB: 16-of-30   2.0 GB: 17-of-30   2.0 GB: 18-of-30   2.0 GB: 19-of-30   1.7 GB: 20-of-30   1.9 GB: 21-of-30   2.0 GB: 22-of-30   2.0 GB: 23-of-30   2.0 GB: 24-of-30   1.7 GB: 25-of-30   1.9 GB: 26-of-30   2.0 GB: 27-of-30   2.0 GB: 28-of-30   1.9 GB: 29-of-30   1.0 GB: 30-of-30
Model ArchitectureRwkvForCausalLM
Transformers Version4.29.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50277
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than RWKV/rwkv-4-14b-pile.

Rank the Rwkv 4 14B Pile Capabilities

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Release v20241124
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