Tamed Sigma by tinycompany

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

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Moe   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Tamed Sigma Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tamed Sigma Parameters and Internals

LLM NameTamed Sigma
Repository 🤗https://huggingface.co/tinycompany/Tamed-Sigma 
Model Size3.1b
Required VRAM6.2 GB
Updated2025-09-18
Maintainertinycompany
Model Typeqwen2
Model Files  4.0 GB: 1-of-2   2.2 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licensemit
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.

Rank the Tamed Sigma Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a