Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked by ali-elganzory

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Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked is an open-source language model by ali-elganzory. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b-bas...   Conversational   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors   Sft   Trl

Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked Parameters and Internals

LLM NameQwen3 1.7B Base SFT Tulu3 Decontaminated Masked
Repository 🤗https://huggingface.co/ali-elganzory/Qwen3-1.7B-Base-SFT-Tulu3-decontaminated-masked 
Base Model(s)  Qwen/Qwen3-1.7B-Base   Qwen/Qwen3-1.7B-Base
Model Size1.7b
Required VRAM3.4 GB
Updated2026-07-16
Maintainerali-elganzory
Model Typeqwen3
Model Files  3.4 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.57.6
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151680
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ali-elganzory/Qwen3-1.7B-Base-SFT-Tulu3-decontaminated-masked.

Rank the Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked 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 v20260328a