Ruadapt Qwen2.5 3B Ext U48 Instruct V4 by RefalMachine

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Ruadapt Qwen2.5 3B Ext U48 Instruct V4 is an open-source language model by RefalMachine. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:2412.21140 Base model:finetune:refalmachi... Base model:refalmachine/ruadap...   Conversational   Dataset:dichspace/darulm Dataset:ilyagusev/saiga prefer...   Dataset:ilyagusev/saiga scored   Instruct   Qwen2   Region:us   Ru   Safetensors   Sharded   Tensorflow

Ruadapt Qwen2.5 3B Ext U48 Instruct V4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ruadapt Qwen2.5 3B Ext U48 Instruct V4 (RefalMachine/ruadapt_qwen2.5_3B_ext_u48_instruct_v4)
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Ruadapt Qwen2.5 3B Ext U48 Instruct V4 Parameters and Internals

LLM NameRuadapt Qwen2.5 3B Ext U48 Instruct V4
Repository ๐Ÿค—https://huggingface.co/RefalMachine/ruadapt_qwen2.5_3B_ext_u48_instruct_v4 
Base Model(s)  RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256   RefalMachine/ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_mlp_32_32_bs256
Model Size3b
Required VRAM6.2 GB
Updated2026-04-11
MaintainerRefalMachine
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesru
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size147097
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than RefalMachine/ruadapt_qwen2.5_3B_ext_u48_instruct_v4.

Rank the Ruadapt Qwen2.5 3B Ext U48 Instruct V4 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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Release v20260328a