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Qwopus GLM 18B Healed by KyleHessling1

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Qwopus GLM 18B Healed is an open-source language model by KyleHessling1. Features: 9b LLM, VRAM: 33.2GB, License: apache-2.0, LLM Explorer Score: 0.37.

  Agent Base model:jackrong/qwen3.5-9b... Base model:jackrong/qwopus3.5-... Base model:merge:jackrong/qwen... Base model:merge:jackrong/qwop...   Chain-of-thought   Conversational   De   En   Es   Fr   Frankenmerge   Ja   Ko   Merge   Qwen3.5   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Tool-use   Unsloth   Zh
Model Card on HF 🤗: https://huggingface.co/KyleHessling1/Qwopus-GLM-18B-Healed 

Qwopus GLM 18B Healed Benchmarks

LLME Score: 0.36706
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwopus GLM 18B Healed (KyleHessling1/Qwopus-GLM-18B-Healed)
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Qwopus GLM 18B Healed Parameters and Internals

LLM NameQwopus GLM 18B Healed
Repository 🤗https://huggingface.co/KyleHessling1/Qwopus-GLM-18B-Healed 
Model Name/home/kylehessling/models/Qwopus-GLM-18B-merged
Base Model(s)  Jackrong/Qwopus3.5-9B-v3.5   Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1   Jackrong/Qwopus3.5-9B-v3.5   Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1
Model Size9b
Required VRAM33.2 GB
Updated2026-04-19
MaintainerKyleHessling1
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-7   5.4 GB: 2-of-7   5.3 GB: 3-of-7   5.3 GB: 4-of-7   5.4 GB: 5-of-7   5.4 GB: 6-of-7   1.1 GB: 7-of-7
Supported Languagesen zh ko ja fr de es
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Qwopus Omnicoder Abliterated0K / 1.5 GB920
Qwen3.5 9B MLX 4bit0K / 5.9 GB12181973
Note: green Score (e.g. "73.2") means that the model is better than KyleHessling1/Qwopus-GLM-18B-Healed.

Rank the Qwopus GLM 18B Healed 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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