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R3 Qwen3 4B 4K by rubricreward

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R3 Qwen3 4B 4K is an open-source language model by rubricreward. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2505.13388 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-4b   Conversational Dataset:rubricreward/r3-datase...   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rubricreward/R3-Qwen3-4B-4k 

R3 Qwen3 4B 4K Benchmarks

LLME Score: 0.1923
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
R3 Qwen3 4B 4K (rubricreward/R3-Qwen3-4B-4k)
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R3 Qwen3 4B 4K Parameters and Internals

LLM NameR3 Qwen3 4B 4K
Repository 🤗https://huggingface.co/rubricreward/R3-Qwen3-4B-4k 
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2026-04-22
Maintainerrubricreward
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to R3 Qwen3 4B 4K

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB10108977827
GRPO 4 70256K / 8.1 GB200
Qwen3 4B Thinking 2507256K / 8.1 GB1676918575
Lightning 4B256K / 8.1 GB136
QED Nano256K / 8.1 GB681686
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
AgentCPM Explore256K / 8.9 GB204413
Qwen3 4B Thinking 2507 FP8256K / 5.2 GB19253066
Jan Code 4B256K / 8.9 GB49976
Note: green Score (e.g. "73.2") means that the model is better than rubricreward/R3-Qwen3-4B-4k.

Rank the R3 Qwen3 4B 4K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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