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Smoothie Qwen3 0.6B by dnotitia

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Smoothie Qwen3 0.6B is an open-source language model by dnotitia. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-0.6b   Chat   Conversation   Conversational   Dnotitia   En   Endpoints compatible   Qwen3   Reasoning   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/dnotitia/Smoothie-Qwen3-0.6B 

Smoothie Qwen3 0.6B Benchmarks

LLME Score: 0.1926
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smoothie Qwen3 0.6B (dnotitia/Smoothie-Qwen3-0.6B)
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Smoothie Qwen3 0.6B Parameters and Internals

LLM NameSmoothie Qwen3 0.6B
Repository 🤗https://huggingface.co/dnotitia/Smoothie-Qwen3-0.6B 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM1.2 GB
Updated2026-04-07
Maintainerdnotitia
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<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...ied Qwen3 0.6B Gabliterated V140K / 1.2 GB170
...fied Qwen3 0.6B Abliterated V240K / 1.2 GB261
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Qwen3 0.6B MLX Bf1640K / 1.2 GB17331
Note: green Score (e.g. "73.2") means that the model is better than dnotitia/Smoothie-Qwen3-0.6B.

Rank the Smoothie Qwen3 0.6B 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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