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Synesthesia 3.1 Task Arithmetic by bunnycore

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Synesthesia 3.1 Task Arithmetic is an open-source language model by bunnycore. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Code Generating, Merged, LLM Explorer Score: 0.15.

  Merged Model   Arxiv:2212.04089 Base model:bunnycore/hyperllam... Base model:solshine/reflection... Base model:unsloth/meta-llama-...   Codegen   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Synesthesia-3.1-task_arithmetic 

Synesthesia 3.1 Task Arithmetic Benchmarks

LLME Score: 0.1512
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synesthesia 3.1 Task Arithmetic (bunnycore/Synesthesia-3.1-task_arithmetic)
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Synesthesia 3.1 Task Arithmetic Parameters and Internals

Additional Notes 
This model is a merge of various pre-trained language models using mergekit.
LLM NameSynesthesia 3.1 Task Arithmetic
Repository 🤗https://huggingface.co/bunnycore/Synesthesia-3.1-task_arithmetic 
Base Model(s)  Replete-AI/Replete-LLM-V2-Llama-3.1-8b   Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit   unsloth/Meta-Llama-3.1-8B   bunnycore/HyperLlama-3.1-8B   Replete-AI/Replete-Coder-V2-Llama-3.1-8b   Replete-AI/Replete-LLM-V2-Llama-3.1-8b   Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit   unsloth/Meta-Llama-3.1-8B   bunnycore/HyperLlama-3.1-8B   Replete-AI/Replete-Coder-V2-Llama-3.1-8b
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-04-07
Maintainerbunnycore
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Synesthesia-3.1-task_arithmetic.

Rank the Synesthesia 3.1 Task Arithmetic 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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