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7a46c1bc D0c3 4e07 87fc F9059b11f828 by samoline

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7a46c1bc D0c3 4e07 87fc F9059b11f828 is an open-source language model by samoline. Features: 8.2b LLM, VRAM: 32.7GB, Context: 32K, LLM Explorer Score: 0.19.

  Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/samoline/7a46c1bc-d0c3-4e07-87fc-f9059b11f828 

7a46c1bc D0c3 4e07 87fc F9059b11f828 Benchmarks

LLME Score: 0.19451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
7a46c1bc D0c3 4e07 87fc F9059b11f828 (samoline/7a46c1bc-d0c3-4e07-87fc-f9059b11f828)
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7a46c1bc D0c3 4e07 87fc F9059b11f828 Parameters and Internals

LLM Name7a46c1bc D0c3 4e07 87fc F9059b11f828
Repository 🤗https://huggingface.co/samoline/7a46c1bc-d0c3-4e07-87fc-f9059b11f828 
Model Size8.2b
Required VRAM32.7 GB
Updated2026-05-20
Maintainersamoline
Model Typeqwen3
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   4.8 GB: 6-of-7   3.5 GB: 7-of-7
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.54.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Context / RAM
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Diallm Qwen Sft Aus40K / 16.4 GB460
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...wen Hook Layer 9 Posneg Merged40K / 16.4 GB420
Note: green Score (e.g. "73.2") means that the model is better than samoline/7a46c1bc-d0c3-4e07-87fc-f9059b11f828.

Rank the 7a46c1bc D0c3 4e07 87fc F9059b11f828 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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