Ghost 7B V0.9.1 Gguf by ghost-x

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Ghost 7B V0.9.1 Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ghost 7B V0.9.1 Gguf (ghost-x/ghost-7b-v0.9.1-gguf)
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Ghost 7B V0.9.1 Gguf Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
creating AI assistants in English and Vietnamese
Additional Notes 
The model was trained with a new format (GGUF) introduced by the llama.cpp team and supports Vietnamese understanding even with slang and abbreviations.
Supported Languages 
en (English), vi (Vietnamese)
Training Details 
Data Volume:
150MB
Methodology:
This approach uses QLora for training then merges them.
Input Output 
Accepted Modalities:
text
Performance Tips:
Setting up the system prompt will have a great impact on the performance and quality of the content generated by the model.
LLM NameGhost 7B V0.9.1 Gguf
Repository ๐Ÿค—https://huggingface.co/ghost-x/ghost-7b-v0.9.1-gguf 
Model NameGhost 7B v0.9.1
Model CreatorHieu Lam
Model Size7b
Required VRAM4.1 GB
Updated2025-10-10
Maintainerghost-x
Model Typemistral
Model Files  4.1 GB   4.4 GB   7.7 GB
Supported Languagesen vi
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than ghost-x/ghost-7b-v0.9.1-gguf.

Rank the Ghost 7B V0.9.1 Gguf 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124