Qwen3.5 9B Neo by Jackrong

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Qwen3.5 9B Neo is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.37.

Base model:adapter:qwen/qwen3....   Base model:qwen/qwen3.5-9b   Chain-of-thought   Competitive-programming   Conversational Dataset:jackrong/competitive-p... Dataset:stepfun-ai/step-3.5-fl...   En   Lora   Qwen   Qwen3.5   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Unsloth   Zh
Model Card on HF ๐Ÿค—: https://huggingface.co/Jackrong/Qwen3.5-9B-Neo 

Qwen3.5 9B Neo Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 9B Neo (Jackrong/Qwen3.5-9B-Neo)
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Qwen3.5 9B Neo Parameters and Internals

LLM NameQwen3.5 9B Neo
Repository ๐Ÿค—https://huggingface.co/Jackrong/Qwen3.5-9B-Neo 
Model Nameunsloth/Qwen3.5-9B
Base Model(s)  Qwen/Qwen3.5-9B   Qwen/Qwen3.5-9B
Model Size9b
Required VRAM19.3 GB
Updated2026-04-04
MaintainerJackrong
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-4   5.3 GB: 2-of-4   5.4 GB: 3-of-4   3.3 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwen3.5-9B-Neo.

Rank the Qwen3.5 9B Neo Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a