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Qwe3 0.6B Acot by Ash2749

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Qwe3 0.6B Acot is an open-source language model by Ash2749. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Ash2749/Qwe3_0.6B_acot 

Qwe3 0.6B Acot Benchmarks

LLME Score: 0.1975
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwe3 0.6B Acot (Ash2749/Qwe3_0.6B_acot)
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Qwe3 0.6B Acot Parameters and Internals

LLM NameQwe3 0.6B Acot
Repository 🤗https://huggingface.co/Ash2749/Qwe3_0.6B_acot 
Base Model(s)  unsloth/qwen3-0.6b-unsloth-bnb-4bit   unsloth/qwen3-0.6b-unsloth-bnb-4bit
Model Size0.6b
Required VRAM1.2 GB
Updated2025-07-02
MaintainerAsh2749
Model Typeqwen3
Model Files  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 Typebfloat16
Errorsreplace

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... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB50
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Qwen3 0.6B Acot40K / 1.2 GB60
Qwill 0.6B IT40K / 1.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than Ash2749/Qwe3_0.6B_acot.

Rank the Qwe3 0.6B Acot 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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