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: 0.26.

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

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 Parameters and Internals

LLM NameQwen3.5 9B Neo
Repository 🤗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
Updated2026-05-23
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

Quantized Models of the Qwen3.5 9B Neo

Model
Likes
Downloads
VRAM
Qwen3.5 9B Neo PolarQuant Q523976 GB
Qwen3.5 9B Neo HLWQ Q552566 GB

Best Alternatives to Qwen3.5 9B Neo

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Context / RAM
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Negentropy Claude Opus 4.7 9B0K / 18.8 GB1789
Qwopus3.5 9B V30K / 19.3 GB13527890
Qwen3.5 9B GLM5.1 Distill V10K / 19.3 GB2398062
...e 4.6 Opus Reasoning Distilled0K / 19.3 GB31800660
....6 Opus Reasoning Distilled V20K / 19.3 GB4481167
QwenPaw Flash 9B0K / 18.8 GB494356
Qwopus GLM 18B Healed0K / 33.2 GB265218
CoPaw Flash 9B0K / 18.8 GB20030
JewGPT Qwen3.5 9B0K / 17.9 GB5160
Qwopus GLM 18B Healed0K / 33.2 GB1052
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

🆘 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! 🌟

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