Seallm 7B V2.5 Summary Vietnamese Article V1 Gguf by dinhhung1508

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Base model:quantized:seallms/s... Base model:seallms/seallm-7b-v...   Conversational   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Unsloth

Seallm 7B V2.5 Summary Vietnamese Article V1 Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seallm 7B V2.5 Summary Vietnamese Article V1 Gguf (dinhhung1508/Seallm-7b-v2.5-summary-vietnamese-article-v1-gguf)

Seallm 7B V2.5 Summary Vietnamese Article V1 Gguf Parameters and Internals

Model Type 
text-generation
Additional Notes 
Trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (high)
Training Details 
Methodology:
Finetuned using Unsloth and Huggingface's TRL library
LLM NameSeallm 7B V2.5 Summary Vietnamese Article V1 Gguf
Repository ๐Ÿค—https://huggingface.co/dinhhung1508/Seallm-7b-v2.5-summary-vietnamese-article-v1-gguf 
Base Model(s)  SeaLLMs/SeaLLM-7B-v2.5   SeaLLMs/SeaLLM-7B-v2.5
Model Size7b
Required VRAM5.3 GB
Updated2025-02-22
Maintainerdinhhung1508
Model Typegemma
Model Files  5.3 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 dinhhung1508/Seallm-7b-v2.5-summary-vietnamese-article-v1-gguf.

Rank the Seallm 7B V2.5 Summary Vietnamese Article V1 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 v20241227