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Strela by gai-labs

 »  All LLMs  »  gai-labs  »  Strela   URL Share it on

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Strela is an open-source language model by gai-labs. Features: 3b LLM, VRAM: 6GB, Context: 4K, License: cc-by-sa-4.0, LLM Explorer Score: 0.13.

  En   Endpoints compatible   Llama   Pytorch   Region:us   Ru   Safetensors
Model Card on HF 🤗: https://huggingface.co/gai-labs/strela 

Strela Benchmarks

LLME Score: 0.13405
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Strela (gai-labs/strela)
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Strela Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
dialog chatbot, story writing, song writing, bilingual translation
Primary Use Cases:
use on low-resource devices
Additional Notes 
The model is optimized for performance on weaker devices.
Supported Languages 
ru (full), en (full)
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
text
LLM NameStrela
Repository 🤗https://huggingface.co/gai-labs/strela 
Model Size3b
Required VRAM6 GB
Updated2026-04-17
Maintainergai-labs
Model Typellama
Model Files  6.0 GB   6.0 GB
Supported Languagesru en
Model ArchitectureLlamaForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size49216
Torch Data Typefloat16

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ISA 03 Mini 3B Hybrid Preview256K / 6.5 GB8514
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Llama 3.2 3B128K / 6.5 GB1183471785
Llama 3.2 3B Instruct128K / 6.5 GB12989
Note: green Score (e.g. "73.2") means that the model is better than gai-labs/strela.

Rank the Strela 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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