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Zeta Qwen3 4B Sft by someone13574

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  4bit   Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-ba...   En   Endpoints compatible   Pytorch   Quantized   Qwen3   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/someone13574/zeta-qwen3-4b-sft 

Zeta Qwen3 4B Sft Benchmarks

LLME Score: 0.22838
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zeta Qwen3 4B Sft (someone13574/zeta-qwen3-4b-sft)
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Zeta Qwen3 4B Sft Parameters and Internals

LLM NameZeta Qwen3 4B Sft
Repository 🤗https://huggingface.co/someone13574/zeta-qwen3-4b-sft 
Base Model(s)  Qwen3 4B Base Unsloth Bnb 4bit   unsloth/Qwen3-4B-Base-unsloth-bnb-4bit
Model Size4b
Required VRAM8.1 GB
Updated2025-05-19
Maintainersomeone13574
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 Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Qwen3 4B Instruct 2507 4bit256K / 2.3 GB25285
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Jan V1 4B 8bit256K / 4.3 GB2133
Qwen3 4B Instruct 2507 8bit256K / 4.3 GB1034
Qwen3 4B Thinking 2507 Sft256K / 8.1 GB70
...wen3 4B Instruct 2507 Sft Full256K / 8.1 GB60
Note: green Score (e.g. "73.2") means that the model is better than someone13574/zeta-qwen3-4b-sft.

Rank the Zeta Qwen3 4B Sft 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 v20241124
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