Trurl 2 7B GGML by TheBloke

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Trurl 2 7B GGML 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 GGML (TheBloke/Trurl-2-7B-GGML)
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Trurl 2 7B GGML Parameters and Internals

Model Type 
llama, text generation
Use Cases 
Areas:
Commercial, Research
Primary Use Cases:
Assistant-like chat, Natural language generation tasks
Supported Languages 
en (English), pl (Polish)
Training Details 
Data Sources:
A new mix of private and publicly available online data
Data Volume:
1.7b tokens
Methodology:
Fine-tuned on conversational Polish and English samples
Context Length:
4096
Model Architecture:
Auto-regressive transformer architecture
LLM NameTrurl 2 7B GGML
Repository ๐Ÿค—https://huggingface.co/TheBloke/Trurl-2-7B-GGML 
Model NameTrurl 2 7B
Model CreatorVoicelab
Base Model(s)  Trurl 2 7B   Voicelab/trurl-2-7b
Model Size7b
Required VRAM3 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  3.0 GB   3.8 GB   3.5 GB   3.1 GB   3.8 GB   4.2 GB   4.2 GB   4.0 GB   4.6 GB   5.1 GB   4.9 GB   4.8 GB   5.7 GB   7.2 GB
Supported Languagesen pl
GGML QuantizationYes
Quantization Typeggml
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-GGML.

Rank the Trurl 2 7B GGML 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