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Tamed Sigma Hi by tinycompany

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Tamed Sigma Hi is an open-source language model by tinycompany. Features: 3.1b LLM, VRAM: 6.2GB, Context: 32K, LLM Explorer Score: 0.18.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tinycompany/Tamed-Sigma-hi 

Tamed Sigma Hi Benchmarks

LLME Score: 0.17927
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tamed Sigma Hi (tinycompany/Tamed-Sigma-hi)
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Tamed Sigma Hi Parameters and Internals

LLM NameTamed Sigma Hi
Repository 🤗https://huggingface.co/tinycompany/Tamed-Sigma-hi 
Model Size3.1b
Required VRAM6.2 GB
Updated2026-04-30
Maintainertinycompany
Model Typeqwen2
Model Files  3.0 GB: 1-of-3   2.9 GB: 2-of-3   0.3 GB: 3-of-3
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|endoftext|>
Vocabulary Size81920
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than tinycompany/Tamed-Sigma-hi.

Rank the Tamed Sigma Hi 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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