SeaLLM 7B V2.5 4bit by venera-ai

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Gptq   Quantized   Region:us

SeaLLM 7B V2.5 4bit 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 4bit (venera-ai/SeaLLM-7B-v2.5-4bit)

SeaLLM 7B V2.5 4bit Parameters and Internals

LLM NameSeaLLM 7B V2.5 4bit
Repository ๐Ÿค—https://huggingface.co/venera-ai/SeaLLM-7B-v2.5-4bit 
Model Size7b
Required VRAM7.2 GB
Updated2024-12-22
Maintainervenera-ai
Model Typegemma
Model Files  7.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than venera-ai/SeaLLM-7B-v2.5-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217