Teuta is an open-source language model by LTS-VVE. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.
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 🤗: 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").
What is the LLM Explorer Rank (Score)
Teuta Parameters and Internals
| LLM Name | Teuta |
| Repository 🤗 | https://huggingface.co/LTS-VVE/Teuta |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.5 GB |
| Updated | 2025-09-23 |
| Maintainer | LTS-VVE |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en sq |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Teuta
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gunny | 128K / 6.5 GB | 31 | 0 |
| Llama 3.2 3B Instruct GGUF | 128K / 0.9 GB | 78782 | 62 |
| Llama 3.2 MEDIT 3B O1 | 128K / 7.2 GB | 185 | 13 |
| ReWiz Llama 3.2 3B | 128K / 6.5 GB | 502 | 3 |
| Leyes Ecuador 20250825 200051 | 128K / 6.5 GB | 24 | 0 |
| Automotive 20250816 105217 | 128K / 6.5 GB | 19 | 0 |
| Llama 3.2 3B COT | 128K / 6.5 GB | 134 | 2 |
| ...2 3B Instruct Unsloth Bnb 4bit | 128K / 2.4 GB | 106422 | 10 |
| Llama32 3B En Emo 2000 Stp | 128K / 2.2 GB | 95 | 0 |
| Llama32 3B En Emo 300 Stp | 128K / 2.2 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LTS-VVE/Teuta .
Rank the Teuta Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a