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Qwe3 1.7B Acot by Ash2749

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Qwe3 1.7B Acot is an open-source language model by Ash2749. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

  4bit   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Ash2749/Qwe3_1.7B_acot 

Qwe3 1.7B Acot Benchmarks

LLME Score: 0.19246
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwe3 1.7B Acot (Ash2749/Qwe3_1.7B_acot)
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Qwe3 1.7B Acot Parameters and Internals

LLM NameQwe3 1.7B Acot
Repository 🤗https://huggingface.co/Ash2749/Qwe3_1.7B_acot 
Base Model(s)  unsloth/qwen3-1.7b-unsloth-bnb-4bit   unsloth/qwen3-1.7b-unsloth-bnb-4bit
Model Size1.7b
Required VRAM3.4 GB
Updated2026-05-21
MaintainerAsh2749
Model Typeqwen3
Model Files  3.4 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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Qwen3 1.7B 4bit DWQ 05312540K / 1 GB7622
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...Qwen3 1.7B Abliterated V1 4bit40K / 1 GB10333
...wen3 1.7B Tamil 16bit Instruct40K / 3.4 GB70
Qwen3 1.7B MLX 6bit40K / 1.3 GB533
Note: green Score (e.g. "73.2") means that the model is better than Ash2749/Qwe3_1.7B_acot.

Rank the Qwe3 1.7B 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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