Evo 1K Test by Rocketknight1

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  Arxiv:2102.02611   Arxiv:2203.14343   Arxiv:2206.11893   Arxiv:2210.09298   Arxiv:2302.10866   Arxiv:2303.06349   Arxiv:2310.18780   Autotrain compatible   Biology   Custom code   Deep signal processing   Genomics   Hybrid   Long context   Region:us   Safetensors   Sharded   Stripedhyena   Tensorflow

Evo 1K Test Benchmarks

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 ๐Ÿค—https://huggingface.co/Rocketknight1/evo-1k-test 
Model Size6.5b
Required VRAM12.9 GB
Updated2025-09-08
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

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Note: green Score (e.g. "73.2") means that the model is better than Rocketknight1/evo-1k-test.

Rank the Evo 1K Test Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124