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SeaLLM 7B V2.5 ORPO SARAA M GGUF by StrangeSX

 »  All LLMs  »  StrangeSX  »  SeaLLM 7B V2.5 ORPO SARAA M GGUF   URL Share it on

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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 ORPO SARAA M GGUF Benchmarks

LLME Score: 0.20169
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 ORPO SARAA M GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma, gguf
Additional Notes 
The model is based on SeaLLMs/SeaLLM-7B-v2.5 and uses the Unsloth technique for accelerated training.
Training Details 
Methodology:
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameSeaLLM 7B V2.5 ORPO SARAA M GGUF
Repository 🤗https://huggingface.co/StrangeSX/SeaLLM-7B-v2.5-ORPO-SARAA-M-GGUF 
Base Model(s)  SeaLLMs/SeaLLM-7B-v2.5   SeaLLMs/SeaLLM-7B-v2.5
Model Size7b
Required VRAM9.1 GB
Updated2024-11-21
MaintainerStrangeSX
Model Typegemma
Model Files  17.1 GB   9.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
SeaLLM 7B V2.5 ORPO SARAA M GGUF (StrangeSX/SeaLLM-7B-v2.5-ORPO-SARAA-M-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than StrangeSX/SeaLLM-7B-v2.5-ORPO-SARAA-M-GGUF.

Rank the SeaLLM 7B V2.5 ORPO SARAA M 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 v20241110
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