Qwill 0.6B IT by marcuscedricridia

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  4bit   Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-...   Conversational   En   Endpoints compatible   Pytorch   Quantized   Qwen3   Region:us   Safetensors   Sft   Trl   Unsloth

Qwill 0.6B IT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwill 0.6B IT (marcuscedricridia/Qwill-0.6b-IT)
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Qwill 0.6B IT Parameters and Internals

LLM NameQwill 0.6B IT
Repository ๐Ÿค—https://huggingface.co/marcuscedricridia/Qwill-0.6b-IT 
Base Model(s)  unsloth/Qwen3-0.6B-unsloth-bnb-4bit   unsloth/Qwen3-0.6B-unsloth-bnb-4bit
Model Size0.6b
Required VRAM1.2 GB
Updated2025-09-01
Maintainermarcuscedricridia
Model Typeqwen3
Model Files  1.2 GB   1.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Qwill-0.6b-IT.

Rank the Qwill 0.6B IT 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124