Ghost 7B Alpha AWQ by ghost-x

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Ghost 7B Alpha AWQ Benchmarks

Ghost 7B Alpha AWQ Parameters and Internals

Model Type 
language model, text generation
Use Cases 
Areas:
reasoning, multi-tasking, function tools
Applications:
virtual assistants, coding, translation, answering questions, creating documents
Additional Notes 
Large language model focusing on optimizing reasoning, multi-task knowledge, and tool support, efficient, open, and cheap.
Supported Languages 
languages_supported (English, Vietnamese), proficiency_level ()
Training Details 
Methodology:
Fine-tuned
Context Length:
8192
Model Architecture:
Transformer-based architecture
LLM NameGhost 7B Alpha AWQ
Repository ๐Ÿค—https://huggingface.co/ghost-x/ghost-7b-alpha-awq 
Base Model(s)  Ghost 7B Alpha   ghost-x/ghost-7b-alpha
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
Maintainerghost-x
Model Typemistral
Model Files  4.2 GB
Supported Languagesen vi
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Ghost 7B Alpha AWQ (ghost-x/ghost-7b-alpha-awq)

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

Rank the Ghost 7B Alpha 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110