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Qwen3 4B Instruct 2507 by oceanicity

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Qwen3 4B Instruct 2507 is an open-source language model by oceanicity. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

  Arxiv:2505.09388 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Conversational   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/oceanicity/Qwen3-4B-Instruct-2507 

Qwen3 4B Instruct 2507 Benchmarks

LLME Score: 0.28214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Instruct 2507 (oceanicity/Qwen3-4B-Instruct-2507)
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Qwen3 4B Instruct 2507 Parameters and Internals

LLM NameQwen3 4B Instruct 2507
Repository 🤗https://huggingface.co/oceanicity/Qwen3-4B-Instruct-2507 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-03-27
Maintaineroceanicity
Model Typeqwen3
Instruction-BasedYes
Model Files  4.0 GB: 1-of-3   4.0 GB: 2-of-3   0.1 GB: 3-of-3
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 4B Instruct 2507

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Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
Jan Code 4B256K / 8.9 GB222871
Jan V3 4B Base Instruct256K / 8.9 GB182760
Qwen3 4B Instruct 2507256K / 8.1 GB7903713
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB4154231
...search GooseReason 4B Instruct256K / 17.6 GB4767
WEBGEN 4B Preview256K / 8.1 GB147680
Qwen3 4B Instruct 2507 FP8256K / 4.4 GB13423
...B Instruct 2507 Abliterated V2256K / 8.1 GB300
... Instruct 2507 Gabliterated V4256K / 8 GB200
Note: green Score (e.g. "73.2") means that the model is better than oceanicity/Qwen3-4B-Instruct-2507.

Rank the Qwen3 4B Instruct 2507 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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