Ts V2 Gguf by 922-SY

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Base model:quantized:seallms/s... Base model:seallms/seallm-7b-v...   Conversational   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/922-SY/ts-v2-gguf 

Ts V2 Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ts V2 Gguf (922-SY/ts-v2-gguf)
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Ts V2 Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTs V2 Gguf
Repository ๐Ÿค—https://huggingface.co/922-SY/ts-v2-gguf 
Base Model(s)  SeaLLM 7B V2   SeaLLMs/SeaLLM-7B-v2
Model Size7b
Required VRAM7.8 GB
Updated2025-05-10
Maintainer922-SY
Model Typemistral
Model Files  7.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than 922-SY/ts-v2-gguf.

Rank the Ts V2 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