LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

EagleX 1 7T HF by recursal

 »  All LLMs  »  recursal  »  EagleX 1 7T HF   URL Share it on

  14   

EagleX 1 7T HF is an open-source language model by recursal. Features: LLM, VRAM: 15GB, License: apache-2.0, LLM Explorer Score: 0.13.

  Conversational   Custom code   Endpoints compatible   Pytorch   Region:us   Rwkv5
Model Card on HF 🤗: https://huggingface.co/recursal/EagleX_1-7T_HF 

EagleX 1 7T HF Benchmarks

LLME Score: 0.12526
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EagleX 1 7T HF (recursal/EagleX_1-7T_HF)
🌟 Advertise your project 🚀

EagleX 1 7T HF Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Text generation
Additional Notes 
Experimental model build, not an instruct tuned model.
Input Output 
Input Format:
Text input with instruction format
Accepted Modalities:
Text
Output Format:
Generated text output
Performance Tips:
Use GPU for faster performance
LLM NameEagleX 1 7T HF
Repository 🤗https://huggingface.co/recursal/EagleX_1-7T_HF 
Required VRAM15 GB
Updated2026-04-09
Maintainerrecursal
Model Typerwkv5
Model Files  15.0 GB
Model ArchitectureRwkvForCausalLM
Licenseapache-2.0
Transformers Version4.34.0
Tokenizer ClassRwkvTokenizer
Padding Token<|rwkv_tokenizer_end_of_text|>
Vocabulary Size65536

Best Alternatives to EagleX 1 7T HF

Best Alternatives
Context / RAM
Downloads
Likes
Rwkv Raven 1b50K / 6.1 GB141212
Rwkv 4 1b5 Pile0K / 6.1 GB8996
... Pileplus 1B5 Evol Instruct V20K / 6.1 GB10400
...t 1B4 L94 D1024 Rwkv Converted0K / 5.3 GB70
Music 4 Rwkv Converted0K / 2.3 GB50
Rwkv Musenet Test Untrained40K / 0.9 GB60
Rwkv Musenet Test Untrained30K / 1.8 GB60
Rwkv Musenet Test Untrained0K / 0.1 GB60
Rwkv Music30K / 1.7 GB01
MuseRift0K / 1.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than recursal/EagleX_1-7T_HF.

Rank the EagleX 1 7T HF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 52658 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer