Psyonic Cetacean 20B V2 by ToastyPigeon

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  Arxiv:2203.05482   Autotrain compatible   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow

Psyonic Cetacean 20B V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Psyonic Cetacean 20B V2 (ToastyPigeon/psyonic-cetacean-20b-v2)
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Psyonic Cetacean 20B V2 Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models using the linear merge method.
Training Details 
Methodology:
linear merge method on two stack-merged models
LLM NamePsyonic Cetacean 20B V2
Repository ๐Ÿค—https://huggingface.co/ToastyPigeon/psyonic-cetacean-20b-v2 
Model Size20b
Required VRAM40 GB
Updated2025-10-04
MaintainerToastyPigeon
Model Typellama
Model Files  10.0 GB: 1-of-5   9.9 GB: 2-of-5   9.8 GB: 3-of-5   9.9 GB: 4-of-5   0.4 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/psyonic-cetacean-20b-v2.

Rank the Psyonic Cetacean 20B V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124