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Qwen3.5 9B GLM5.1 Distill V1 by Jackrong

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Qwen3.5 9B GLM5.1 Distill V1 is an open-source language model by Jackrong. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.48.

  Arxiv:2604.06628 Base model:adapter:jackrong/qw... Base model:jackrong/qwen3.5-9b...   Chain-of-thought   Coding   Conversational Dataset:jackrong/glm-5.1-reaso... Dataset:jackrong/qwen3.5-reaso... Dataset:kassadin88/glm-5.1-100...   Distillation   En   Es   Experimental   Gguf   Glm-5.1   Glm-distillation   Image-text-to-text   Instruct   Instruction-tuned   Ja   Llama.cpp   Local-inference   Long-cot   Lora   Math   Multilingual   Quantized   Qwen   Qwen3.5   Qwen3 5   Reasoning   Region:us   Research   Safetensors   Sft   Sharded   Stem   Tensorflow   Unsloth   Zh
Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1 

Qwen3.5 9B GLM5.1 Distill V1 Benchmarks

LLME Score: 0.47628
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 GLM5.1 Distill V1 (Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1)
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Qwen3.5 9B GLM5.1 Distill V1 Parameters and Internals

LLM NameQwen3.5 9B GLM5.1 Distill V1
Repository 🤗https://huggingface.co/Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1 
Model Nameunsloth/Qwen3.5-9B
Base Model(s)  Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1   Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1
Model Size9b
Required VRAM19.3 GB
Updated2026-04-18
MaintainerJackrong
Model Typeqwen3_5
Instruction-BasedYes
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 ja es
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

Rank the Qwen3.5 9B GLM5.1 Distill V1 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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