Mod Karakuri 8x7B InstructionBoost by aixsatoshi

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Mod Karakuri 8x7B InstructionBoost Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mod Karakuri 8x7B InstructionBoost (aixsatoshi/Mod-karakuri-8x7B-InstructionBoost)

Mod Karakuri 8x7B InstructionBoost Parameters and Internals

Additional Notes 
Uses a differential vector addition method based on observations that additional pre-training or fine-tuning might cause some loss of instruction task memory from the original model.
LLM NameMod Karakuri 8x7B InstructionBoost
Repository ๐Ÿค—https://huggingface.co/aixsatoshi/Mod-karakuri-8x7B-InstructionBoost 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-02-22
Maintaineraixsatoshi
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aixsatoshi/Mod-karakuri-8x7B-InstructionBoost.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227