Negentropy Claude Opus 4.7 9B by Jackrong

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Negentropy Claude Opus 4.7 9B is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 18.8GB, License: apache-2.0, LLM Explorer Score: 0.36.

  Arxiv:2603.07267 Base model:adapter:qwen/qwen3....   Base model:qwen/qwen3.5-9b   Chain-of-thought   Claude-opus-4.7   Competitive-programming   Conversational   Distillation   En   Image-text-to-text   Ja   Ko   Lora   Negentropy   Qwen   Qwen3   Qwen3.5   Qwen3 5   Reasoning   Region:us   Ru   Safetensors   Sharded   Synthetic-data   Tensorflow   Trace-inversion   Unsloth   Zh

Negentropy Claude Opus 4.7 9B Benchmarks

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

Negentropy Claude Opus 4.7 9B Parameters and Internals

LLM NameNegentropy Claude Opus 4.7 9B
Repository 🤗https://huggingface.co/Jackrong/Negentropy-claude-opus-4.7-9B 
Model NameQwen/Qwen3.5-9B
Base Model(s)  Qwen/Qwen3.5-9B   Qwen/Qwen3.5-9B
Model Size9b
Required VRAM18.8 GB
Updated2026-05-09
MaintainerJackrong
Model Typeqwen3_5
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.9 GB: 4-of-4
Supported Languagesen zh ko ja ru
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.3.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Negentropy-claude-opus-4.7-9B.

Rank the Negentropy Claude Opus 4.7 9B 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