Llama 600M Rus by demetera

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Ru   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/demetera/llama-600M-rus 

Llama 600M Rus Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 600M Rus Parameters and Internals

Model Type 
causal language model, text generation
Use Cases 
Areas:
research, experimentation
Primary Use Cases:
text generation, amateur writing
Additional Notes 
Model is designed for casual and amateur output.
Supported Languages 
ru (fluent)
Training Details 
Data Sources:
text fiction books
Methodology:
pretrained from scratch
Input Output 
Input Format:
tokenized input
Accepted Modalities:
text
Output Format:
generated text
LLM NameLlama 600M Rus
Repository ๐Ÿค—https://huggingface.co/demetera/llama-600M-rus 
Model Size600m
Required VRAM2.2 GB
Updated2025-06-09
Maintainerdemetera
Model Typellama
Model Files  2.2 GB
Supported Languagesru
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.45.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32
Llama 600M Rus (demetera/llama-600M-rus)

Rank the Llama 600M Rus 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