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ParaLex Llama 3 8B SFT by hivaze

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/hivaze/ParaLex-Llama-3-8B-SFT 

ParaLex Llama 3 8B SFT Benchmarks

LLME Score: 0.20883
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ParaLex Llama 3 8B SFT (hivaze/ParaLex-Llama-3-8B-SFT)

ParaLex Llama 3 8B SFT Parameters and Internals

Model Type 
text generation
Additional Notes 
No responses from third-party models (GPT-4, etc.) were used, only from the original one, so the model must maintain alignment.
Supported Languages 
English (High), Russian (High)
Training Details 
Data Sources:
English answers of Llama-3-8b-Instruct, translated into Russian
Methodology:
Additional training in English and Russian
LLM NameParaLex Llama 3 8B SFT
Repository 🤗https://huggingface.co/hivaze/ParaLex-Llama-3-8B-SFT 
Model Size8b
Required VRAM16.1 GB
Updated2025-01-24
Maintainerhivaze
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen ru
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_0|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than hivaze/ParaLex-Llama-3-8B-SFT.

Rank the ParaLex Llama 3 8B SFT 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 v20241227
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