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Evo 1K Test by Rocketknight1

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Evo 1K Test is an open-source language model by Rocketknight1. Features: 6.5b LLM, VRAM: 12.9GB, License: apache-2.0, LLM Explorer Score: 0.13.

  Arxiv:2102.02611   Arxiv:2203.14343   Arxiv:2206.11893   Arxiv:2210.09298   Arxiv:2302.10866   Arxiv:2303.06349   Arxiv:2310.18780   Biology   Custom code   Deep signal processing   Genomics   Hybrid   Long context   Region:us   Safetensors   Sharded   Stripedhyena   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Rocketknight1/evo-1k-test 

Evo 1K Test Benchmarks

LLME Score: 0.13072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Evo 1K Test (Rocketknight1/evo-1k-test)
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Evo 1K Test Parameters and Internals

Model Type 
biological modeling, long-context modeling
Use Cases 
Areas:
research, genomics, biology
Additional Notes 
StripedHyena is a mixed precision model.
Training Details 
Data Sources:
OpenGenome
Data Volume:
~300 billion tokens
Context Length:
8192
Model Architecture:
StripedHyena architecture
LLM NameEvo 1K Test
Repository 🤗https://huggingface.co/Rocketknight1/evo-1k-test 
Model Size6.5b
Required VRAM12.9 GB
Updated2026-03-07
MaintainerRocketknight1
Model Typestripedhyena
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   3.0 GB: 3-of-3   16.8 GB
Model ArchitectureStripedHyenaModelForCausalLM
Licenseapache-2.0
Vocabulary Size512
Torch Data Typebfloat16

Best Alternatives to Evo 1K Test

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Context / RAM
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Evo 1 131K Base0K / 12.9 GB1324114
Note: green Score (e.g. "73.2") means that the model is better than Rocketknight1/evo-1k-test.

Rank the Evo 1K Test 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  

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