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V5 EagleX V2 7B HF by RWKV

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V5 EagleX V2 7B HF is an open-source language model by RWKV. Features: 7b LLM, VRAM: 15GB, License: apache-2.0, LLM Explorer Score: 0.14.

  Custom code Dataset:cerebras/slimpajama-62...   Dataset:eleutherai/pile   En   Endpoints compatible   Pytorch   Region:us   Rwkv5   Safetensors
Model Card on HF 🤗: https://huggingface.co/RWKV/v5-EagleX-v2-7B-HF 

V5 EagleX V2 7B HF Benchmarks

LLME Score: 0.14026
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
V5 EagleX V2 7B HF (RWKV/v5-EagleX-v2-7B-HF)
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V5 EagleX V2 7B HF Parameters and Internals

Model Type 
CausalLM
Additional Notes 
This model is not an instructional-tuned version yet, and it is optimized for HF transformers usage.
Supported Languages 
en (null)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, EleutherAI/pile
LLM NameV5 EagleX V2 7B HF
Repository 🤗https://huggingface.co/RWKV/v5-EagleX-v2-7B-HF 
Model Size7b
Required VRAM15 GB
Updated2026-04-08
MaintainerRWKV
Model Typerwkv5
Model Files  15.0 GB   15.0 GB
Supported Languagesen
Model ArchitectureRwkvForCausalLM
Licenseapache-2.0
Transformers Version4.34.0
Tokenizer ClassRwkv5Tokenizer
Vocabulary Size65536

Best Alternatives to V5 EagleX V2 7B HF

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Context / RAM
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V5 Eagle 7B HF0K / 15 GB432972
V5 EagleX 7B0K / 15 GB112
Hermes RWKV V5 7B HF0K / 15 GB335
V5 Eagle 7B 1 0T HF0K / 15 GB61
Rwkv Raven 7B0K / 30.4 GB88219
Rwkv 4 7B Pile0K / 30.4 GB8880
Note: green Score (e.g. "73.2") means that the model is better than RWKV/v5-EagleX-v2-7B-HF.

Rank the V5 EagleX V2 7B HF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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