SeaLLM 7B V2.5 AWQ by SorawitChok

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SeaLLM 7B V2.5 AWQ is an open-source language model by SorawitChok. Features: 7b LLM, VRAM: 7.2GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.14, Arc: 63.5, HellaSwag: 81.5, MMLU: 64.9, GSM8K: 74.4.

  Arxiv:2306.05179   Arxiv:2312.00738   4-bit   Awq   Conversational   En   Endpoints compatible   Gemma   Id   Km   Lo   Ms   Multilingual   My   Quantized   Region:us   Safetensors   Sea   Sharded   Tensorflow   Th   Tl   Vi   Zh

SeaLLM 7B V2.5 AWQ 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 AWQ Parameters and Internals

LLM NameSeaLLM 7B V2.5 AWQ
Repository 🤗https://huggingface.co/SorawitChok/SeaLLM-7B-v2.5-AWQ 
Base Model(s)  SeaLLMs/SeaLLM-7B-v2.5   SeaLLMs/SeaLLM-7B-v2.5
Model Size7b
Required VRAM7.2 GB
Updated2026-05-19
MaintainerSorawitChok
Model Typegemma
Model Files  6.6 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen zh vi id th ms km lo my tl
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

Best Alternatives to SeaLLM 7B V2.5 AWQ

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Context / RAM
Downloads
Likes
Gemma 1.1 7B It AWQ8K / 7.2 GB70
Codegemma 7B AWQ8K / 7.2 GB50
CodeGemma 7B AWQ8K / 7.2 GB50
SeaLLM 7B V2.5 AWQ8K / 5.6 GB130
Gemma Ko 7B AWQ8K / 5.6 GB90
Codegemma 1.1 7B It AWQ8K / 7.2 GB60
Gemma 7B It AWQ8K / 7.2 GB932
Gemma 7B AWQ8K / 7.2 GB550
Gemma 7B It AWQ8K / 7.2 GB110
...t Cleaner Gemma 32k Merged 16b31K / 17.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than SorawitChok/SeaLLM-7B-v2.5-AWQ.

Rank the SeaLLM 7B V2.5 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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Release v20260328a