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RuGPT 3.5 13B GGML by evilfreelancer

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  Conversational Dataset:ilyagusev/gpt roleplay... Dataset:ilyagusev/oasst1 ru ma... Dataset:ilyagusev/ru sharegpt ... Dataset:ilyagusev/ru turbo alp... Dataset:ilyagusev/ru turbo alp... Dataset:ilyagusev/ru turbo sai...   Dataset:lksy/ru instruct gpt4   En   Endpoints compatible   Ggml   Gpt2   Instruct   Lora   Q4   Quantized   Region:us   Ru   Rugpt
Model Card on HF 🤗: https://huggingface.co/evilfreelancer/ruGPT-3.5-13B-ggml 

RuGPT 3.5 13B GGML Benchmarks

LLME Score: 0.11088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RuGPT 3.5 13B GGML (evilfreelancer/ruGPT-3.5-13B-ggml)
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RuGPT 3.5 13B GGML Parameters and Internals

Model Type 
conversational
Additional Notes 
This model adapts the ruGPT-3.5-13B model using adapter-only techniques similar to GigaSaiga, with additional datasets for enhanced performance.
Supported Languages 
ru (high), en (medium)
Training Details 
Data Sources:
IlyaGusev/ru_turbo_alpaca, IlyaGusev/ru_turbo_alpaca_evol_instruct, IlyaGusev/ru_turbo_saiga, IlyaGusev/ru_sharegpt_cleaned, IlyaGusev/oasst1_ru_main_branch, IlyaGusev/gpt_roleplay_realm, lksy/ru_instruct_gpt4
Methodology:
Adapter-only training with a focus on conversational AI.
Input Output 
Input Format:
Role-based conversation prompts
Accepted Modalities:
text
Output Format:
Conversational text
LLM NameRuGPT 3.5 13B GGML
Repository 🤗https://huggingface.co/evilfreelancer/ruGPT-3.5-13B-ggml 
Model Size13b
Required VRAM7.4 GB
Updated2025-09-23
Maintainerevilfreelancer
Model Typegpt2
Instruction-BasedYes
Model Files  7.4 GB   8.2 GB   9.1 GB   9.9 GB   14.0 GB
Supported Languagesru en
GGML QuantizationYes
Quantization Typeggml|q4
Model ArchitectureAutoModel
Licensemit
LoRA ModelYes

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Note: green Score (e.g. "73.2") means that the model is better than evilfreelancer/ruGPT-3.5-13B-ggml.

Rank the RuGPT 3.5 13B 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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