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Ghost 7B V0.9.1 AWQ by ghost-x

 »  All LLMs  »  ghost-x  »  Ghost 7B V0.9.1 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq   Conversational   En   Endpoints compatible   Ghost   Mistral   Model-index   Quantized   Region:us   Safetensors   Vi
Model Card on HF 🤗: https://huggingface.co/ghost-x/ghost-7b-v0.9.1-awq 

Ghost 7B V0.9.1 AWQ Benchmarks

LLME Score: 0.14422
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 AWQ (ghost-x/ghost-7b-v0.9.1-awq)
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Ghost 7B V0.9.1 AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation, creative writing, conversational agents
Applications:
online assistants, educational tools, entertainment
Primary Use Cases:
Text generation, Conversational AI
Limitations:
Limited accuracy on specific reasoning tasks
Considerations:
May require additional prompt engineering for complex tasks
Additional Notes 
Effectiveness with small training data, designed to replace some applications similar to ChatGPT.
Supported Languages 
en (English), vi (Vietnamese)
Training Details 
Data Sources:
Vietnamese text (70%), English text
Data Volume:
~150MB
Methodology:
QLora for training, then merged
Model Architecture:
AWQ for 4-bit quantization
Input Output 
Input Format:
Prompts in text format, potentially with role markers for dialogue.
Accepted Modalities:
text
Output Format:
Generated text responses.
Performance Tips:
Setting up the system prompt appropriately can improve performance; intended for creative and conversational use cases.
Release Notes 
Version:
0.9.1
Notes:
Improved text generation performance with 4-bit quantization support, effective for multilingual tasks.
LLM NameGhost 7B V0.9.1 AWQ
Repository 🤗https://huggingface.co/ghost-x/ghost-7b-v0.9.1-awq 
Model NameGhost 7B v0.9.1
Model CreatorHieu Lam
Base Model(s)  ghost-x/ghost-7b-v0.9.1   ghost-x/ghost-7b-v0.9.1
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
Maintainerghost-x
Model Typemistral
Model Files  4.2 GB
Supported Languagesen vi
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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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-awq.

Rank the Ghost 7B V0.9.1 AWQ 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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Release v20241124
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