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Qwen3 4B RP V3 by bunnycore

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Qwen3 4B RP V3 is an open-source language model by bunnycore. Features: 4b LLM, VRAM: 8GB, Context: 40K, Merged, LLM Explorer Score: 0.2.

  Merged Model   Arxiv:2306.01708 Base model:bunnycore/qwen3-4b-... Base model:ertghiu256/qwen-3-4... Base model:fakezeta/amoral-qwe... Base model:huihui-ai/huihui-qw... Base model:superbemphasis/qwen...   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen3-4B-RP-V3 

Qwen3 4B RP V3 Benchmarks

LLME Score: 0.19506
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B RP V3 (bunnycore/Qwen3-4B-RP-V3)
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Qwen3 4B RP V3 Parameters and Internals

LLM NameQwen3 4B RP V3
Repository 🤗https://huggingface.co/bunnycore/Qwen3-4B-RP-V3 
Base Model(s)  Qwen 3 4B Mixture Of Thought   Qwen3 4B RP Test   Qwen3 4B RP V2   Amoral Qwen3 4B   Huihui Qwen3 4B Abliterated V2   ertghiu256/qwen-3-4b-mixture-of-thought   SuperbEmphasis/Qwen3-4B-RP-Test   bunnycore/Qwen3-4B-RP-V2   fakezeta/amoral-Qwen3-4B   huihui-ai/Huihui-Qwen3-4B-abliterated-v2
Merged ModelYes
Model Size4b
Required VRAM8 GB
Updated2026-05-24
Maintainerbunnycore
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.0 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen3 4B RP V3

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Context / RAM
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Likes
Qwen3 4B Instruct 2507256K / 8.1 GB4833125869
GRPO 4 70256K / 8.1 GB50
Qwen3 4B Thinking 2507256K / 8.1 GB599357591
Lightning 4B256K / 8.1 GB136
AgentCPM Explore256K / 8.9 GB1179415
Jan V1 4B256K / 8.1 GB108354353
OpenSonnet Lite MAX256K / 8 GB40530
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB80378075
CyberSecQwen 4B256K / 8 GB122411
OpenSonnet Lite256K / 8.1 GB41924
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen3-4B-RP-V3.

Rank the Qwen3 4B RP V3 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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