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Glm 4 9B Chat Abliterated by byroneverson

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Glm 4 9B Chat Abliterated is an open-source language model by byroneverson. Features: 9b LLM, VRAM: 18.7GB, License: other, LLM Explorer Score: 0.15.

  Abliterated Base model:finetune:zai-org/gl... Base model:zai-org/glm-4-9b-ch...   Chat   Chatglm   Conversational   Custom code   En   Endpoints compatible   Glm   Region:us   Safetensors   Sharded   Tensorflow   Thudm   Zh
Model Card on HF 🤗: https://huggingface.co/byroneverson/glm-4-9b-chat-abliterated 

Glm 4 9B Chat Abliterated Benchmarks

LLME Score: 0.15304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Glm 4 9B Chat Abliterated (byroneverson/glm-4-9b-chat-abliterated)
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Glm 4 9B Chat Abliterated Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model can be quantized into gguf format using the python package 'tiktoken'. A fork of GGUF My Repo was created to include tiktoken.
Supported Languages 
zh (Mandarin), en (English)
LLM NameGlm 4 9B Chat Abliterated
Repository 🤗https://huggingface.co/byroneverson/glm-4-9b-chat-abliterated 
Base Model(s)  Glm 4 9B Chat   THUDM/glm-4-9b-chat
Model Size9b
Required VRAM18.7 GB
Updated2025-09-23
Maintainerbyroneverson
Model Typechatglm
Model Files  1.9 GB: 1-of-10   1.8 GB: 2-of-10   2.0 GB: 3-of-10   1.9 GB: 4-of-10   1.8 GB: 5-of-10   2.0 GB: 6-of-10   1.9 GB: 7-of-10   1.8 GB: 8-of-10   2.0 GB: 9-of-10   1.6 GB: 10-of-10   0.0 GB
Supported Languageszh en
Model ArchitectureChatGLMModel
Licenseother
Model Max Length128000
Transformers Version4.44.0
Tokenizer ClassChatGLM4Tokenizer
Padding Token<|endoftext|>
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than byroneverson/glm-4-9b-chat-abliterated.

Rank the Glm 4 9B Chat Abliterated 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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