Trurl 2 7B GGUF by TheBloke

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Base model:quantized:voicelab/...   Base model:voicelab/trurl-2-7b   En   Gguf   Llama   Llama2   Pl   Pytorch   Quantized   Region:us   Trurl   Trurl-2   Voicelab

Trurl 2 7B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Trurl 2 7B GGUF (TheBloke/Trurl-2-7B-GGUF)
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Trurl 2 7B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation, Dialogue
Considerations:
Intended for Polish and English language applications.
Supported Languages 
en (English), pl (Polish)
Training Details 
Data Sources:
A new mix of private and publicly available online data with and without MMLU
Data Volume:
1.7b tokens
Methodology:
Fine-tuned on Llama 2
Context Length:
4096
Model Architecture:
Optimized transformer architecture
Input Output 
Input Format:
Text input only
Accepted Modalities:
text
Output Format:
Text generation
LLM NameTrurl 2 7B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Trurl-2-7B-GGUF 
Model NameTrurl 2 7B
Model CreatorVoicelab
Base Model(s)  Trurl 2 7B   Voicelab/trurl-2-7b
Model Size7b
Required VRAM2.8 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen pl
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Trurl-2-7B-GGUF.

Rank the Trurl 2 7B GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124