Sn97 Distilled V9 by rlinprogress

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Sn97 Distilled V9 is an open-source language model by rlinprogress. Features: 4.2b LLM, VRAM: 8.5GB, Context: 256K, LLM Explorer Score: 0.28.

  Qwen3 5 text   Region:us   Safetensors   Sharded   Tensorflow

Sn97 Distilled V9 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sn97 Distilled V9 (rlinprogress/sn97-distilled-V9)
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Sn97 Distilled V9 Parameters and Internals

LLM NameSn97 Distilled V9
Repository ๐Ÿค—https://huggingface.co/rlinprogress/sn97-distilled-V9 
Model Size4.2b
Required VRAM8.5 GB
Updated2026-04-01
Maintainerrlinprogress
Model Typeqwen3_5_text
Model Files  5.4 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3_5ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version5.4.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Rank the Sn97 Distilled V9 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