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Qwen3 0.6B Code Expert by suayptalha

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  Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-0.6b   Code   Conversational Dataset:nvidia/opencodereasoni...   En   Endpoints compatible   Qwen3   Reasoning   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/suayptalha/Qwen3-0.6B-Code-Expert 

Qwen3 0.6B Code Expert Benchmarks

LLME Score: 0.26828
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 0.6B Code Expert (suayptalha/Qwen3-0.6B-Code-Expert)

Qwen3 0.6B Code Expert Parameters and Internals

LLM NameQwen3 0.6B Code Expert
Repository 🤗https://huggingface.co/suayptalha/Qwen3-0.6B-Code-Expert 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM1.2 GB
Updated2025-06-01
Maintainersuayptalha
Model Typeqwen3
Model Files  1.2 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Qwen3-0.6B-Code-Expert.

Rank the Qwen3 0.6B Code Expert 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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Release v20241227
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