Ghost 7B V0.9.1 by ghost-x

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Model Card on HF ๐Ÿค—: https://huggingface.co/ghost-x/ghost-7b-v0.9.1 

Ghost 7B V0.9.1 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 (ghost-x/ghost-7b-v0.9.1)
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Ghost 7B V0.9.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is trained on a limited budget and data, aiming for efficient training with QLora approach.
Supported Languages 
en (Fluent), vi (Fluent)
Training Details 
Data Volume:
150MB
Methodology:
QLora
Input Output 
Accepted Modalities:
text
Performance Tips:
Setting up the system prompt will have a significant impact on performance and content quality. It's best to always set the system.
LLM NameGhost 7B V0.9.1
Repository ๐Ÿค—https://huggingface.co/ghost-x/ghost-7b-v0.9.1 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerghost-x
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen vi
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Ghost 7B V0.9.1

Model
Likes
Downloads
VRAM
Ghost 7B V0.9.1 AWQ1284 GB

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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.

Rank the Ghost 7B V0.9.1 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