Agent 0.6B by U82-IA

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Agent 0.6B is an open-source language model by U82-IA. Features: 0.6b LLM, VRAM: 1.2GB, Context: 125K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

  4bit   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Unsloth

Agent 0.6B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Agent 0.6B Parameters and Internals

LLM NameAgent 0.6B
Repository 🤗https://huggingface.co/U82-IA/Agent_0.6b 
Base Model(s)  unsloth/qwen3-0.6b-unsloth-bnb-4bit   unsloth/qwen3-0.6b-unsloth-bnb-4bit
Model Size0.6b
Required VRAM1.2 GB
Updated2026-04-30
MaintainerU82-IA
Model Typeqwen3
Model Files  1.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length128000
Model Max Length128000
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Fizik 0.6B Preview40K / 1.2 GB90
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Qwen3 0.6B 4bit40K / 0.3 GB1496912
Qwen3 0.6B 8bit40K / 0.6 GB105977
Qwen3 0.6B MLX 8bit40K / 0.6 GB11705
Qwen3 0.6B GRPO40K / 1.2 GB50
... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB70
Qwen3 0.6B MLX 6bit40K / 0.5 GB893
Qwe3 0.6B Acot40K / 1.2 GB180
Qwen3 0.6B Acot40K / 1.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than U82-IA/Agent_0.6b.

Rank the Agent 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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Release v20260328a