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Qwen Finetune 4bit by aayush1306

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Qwen Finetune 4bit is an open-source language model by aayush1306. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.29.

  4bit   Conversational   En   Endpoints compatible   Finetuned   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/aayush1306/qwen_finetune_4bit 

Qwen Finetune 4bit Benchmarks

LLME Score: 0.28824
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen Finetune 4bit (aayush1306/qwen_finetune_4bit)
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Qwen Finetune 4bit Parameters and Internals

LLM NameQwen Finetune 4bit
Repository 🤗https://huggingface.co/aayush1306/qwen_finetune_4bit 
Base Model(s)  unsloth/qwen3-4b-thinking-2507-unsloth-bnb-4bit   unsloth/qwen3-4b-thinking-2507-unsloth-bnb-4bit
Model Size4b
Required VRAM8.1 GB
Updated2026-05-30
Maintaineraayush1306
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen Finetune 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB15596214
Agent 4b256K / 8.1 GB4510
...wen3 4B Thinking 2507 MLX 4bit256K / 2.3 GB6310112
...wen3 4B Thinking 2507 MLX 8bit256K / 4.3 GB664767
Qwen3 4B ARC MLX 4bit256K / 2 GB2802
...Instruct Haiku 4.5 Merged FP16256K / 8.1 GB421
Qwen3 4B Instruct 2507 4bit256K / 2.3 GB161639
Qwen3 4B Finetune Merged 4bit256K / 3.5 GB210
Jan V3 4B Base Instruct 4bit256K / 2.3 GB3802
...Thinking 2507 Unsloth Bnb 4bit256K / 3.5 GB78242
Note: green Score (e.g. "73.2") means that the model is better than aayush1306/qwen_finetune_4bit.

Rank the Qwen Finetune 4bit 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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