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RuBit LLama 63M by igorktech

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  Autotrain compatible Base model:finetune:nousresear... Base model:nousresearch/llama-...   Bitnet   Darulm   Dataset:dichspace/darulm   En   Endpoints compatible   Generated from trainer   Llama   Region:us   Ru   Rulm   Safetensors
Model Card on HF 🤗: https://huggingface.co/igorktech/RuBit-LLama-63M 

RuBit LLama 63M Benchmarks

LLME Score: 0.17723
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RuBit LLama 63M (igorktech/RuBit-LLama-63M)

RuBit LLama 63M Parameters and Internals

Use Cases 
Considerations:
More information needed
Training Details 
Data Sources:
darulm
Data Volume:
2_125_871_104 tokens
Methodology:
fine-tuning
LLM NameRuBit LLama 63M
Repository 🤗https://huggingface.co/igorktech/RuBit-LLama-63M 
Base Model(s)  Llama 2 7B Hf   NousResearch/Llama-2-7b-hf
Model Size7b
Required VRAM0.3 GB
Updated2025-03-24
Maintainerigorktech
Model Typellama
Model Files  0.3 GB   0.0 GB
Supported Languagesru en
Model ArchitectureLlamaForCausalLM
Context Length768
Model Max Length768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than igorktech/RuBit-LLama-63M.

Rank the RuBit LLama 63M 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  
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Multi-Language Support and Translation  

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