Teuta by LTS-VVE

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  Al Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Biology   Chemistry   Climate   Code   Conversational Dataset:ai4chem/chempref-dpo-f... Dataset:amod/mental health cou... Dataset:jkhedri/psychology-dat... Dataset:lts-vve/albanian-synth...   Dataset:lts-vve/grammar sq 0.1   Dataset:lts-vve/linguistic sq Dataset:lts-vve/math-physics-d...   Dataset:lts-vve/teuta-sq Dataset:maverfrick/rust datase... Dataset:microsoft/orca-math-wo... Dataset:mind-lab/safety-evalua... Dataset:neloy262/rust instruct... Dataset:noxneural/lilium alban... Dataset:rishikompelli/therapyd...   Dataset:samhog/psychology-10k Dataset:sayhan/strix-philosoph... Dataset:shb777/simple-math-ste...   Dataset:tesslate/rust dataset Dataset:vezora/tested-143k-pyt...   En   Endpoints compatible   Gguf   Instruct   Llama   Math   Not-for-all-audiences   Philosophy   Pytorch   Quantized   Region:us   Sharded   Sq
Model Card on HF ๐Ÿค—: https://huggingface.co/LTS-VVE/Teuta 

Teuta Benchmarks

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

LLM NameTeuta
Repository ๐Ÿค—https://huggingface.co/LTS-VVE/Teuta 
Base Model(s)  meta-llama/Llama-3.2-3B   meta-llama/Llama-3.2-3B
Model Size3b
Required VRAM6.5 GB
Updated2025-06-19
MaintainerLTS-VVE
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   6.4 GB   2.0 GB
Supported Languagesen sq
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizer
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 LTS-VVE/Teuta.

Rank the Teuta Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124