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Osmosis Structure 0.6B by osmosis-ai

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Osmosis Structure 0.6B is an open-source language model by osmosis-ai. Features: 0.6b LLM, VRAM: 0.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

  Endpoints compatible   Gguf   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/osmosis-ai/Osmosis-Structure-0.6B 

Osmosis Structure 0.6B Benchmarks

LLME Score: 0.24983
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Osmosis Structure 0.6B (osmosis-ai/Osmosis-Structure-0.6B)
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Osmosis Structure 0.6B Parameters and Internals

LLM NameOsmosis Structure 0.6B
Repository 🤗https://huggingface.co/osmosis-ai/Osmosis-Structure-0.6B 
Model Size0.6b
Required VRAM0.4 GB
Updated2026-04-24
Maintainerosmosis-ai
Model Typeqwen3
Model Files  1.2 GB   0.4 GB   0.4 GB   0.5 GB   0.6 GB   2.4 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.52.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB70
Qwen3 0.6B MLX 6bit40K / 0.5 GB893
Note: green Score (e.g. "73.2") means that the model is better than osmosis-ai/Osmosis-Structure-0.6B.

Rank the Osmosis Structure 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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