SeaLLM 7B V2.5 AWQ is an open-source language model by NghiemAbe. Features: 7b LLM, VRAM: 5.6GB, Context: 8K, License: other, Quantized, HF Score: 69.1, LLM Explorer Score: 0.14, Arc: 63.5, HellaSwag: 81.5, MMLU: 64.9, TruthfulQA: 53.8, WinoGrande: 76.3, 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
Model Card on HF 🤗: https://huggingface.co/NghiemAbe/SeaLLM-7B-v2.5-AWQ
SeaLLM 7B V2.5 AWQ Benchmarks
ARC: 63.48 vs 96.7 (so35)-34.4%
HellaSwag: 81.54 vs 95.3 (gpt4)-14.4%
MMLU: 64.93 vs 88.3 (so35)-26.5%
TruthfulQA: 53.78 vs 59 (gpt4)-8.8%
WinoGrande: 76.32 vs 87.5 (gpt4)-12.8%
GSM8K: 74.37 vs 96.4 (so35)-22.9%
LLME Score: 0.14379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
SeaLLM 7B V2.5 AWQ Parameters and Internals
| LLM Name | SeaLLM 7B V2.5 AWQ |
| Repository 🤗 | https://huggingface.co/NghiemAbe/SeaLLM-7B-v2.5-AWQ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 5.6 GB |
| Updated | 2026-04-06 |
| Maintainer | NghiemAbe |
| Model Type | gemma |
| Model Files | |
| Supported Languages | en zh vi id th ms km lo my tl |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | GemmaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to SeaLLM 7B V2.5 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Codegemma 7B AWQ | 8K / 7.2 GB | 6 | 0 |
| Gemma 1.1 7B It AWQ | 8K / 7.2 GB | 6 | 0 |
| SeaLLM 7B V2.5 AWQ | 8K / 7.2 GB | 10 | 2 |
| CodeGemma 7B AWQ | 8K / 7.2 GB | 5 | 0 |
| Gemma Ko 7B AWQ | 8K / 5.6 GB | 12 | 0 |
| Codegemma 1.1 7B It AWQ | 8K / 7.2 GB | 8 | 0 |
| Gemma 7B It AWQ | 8K / 7.2 GB | 128 | 2 |
| Gemma 7B AWQ | 8K / 7.2 GB | 15 | 0 |
| Gemma 7B It AWQ | 8K / 7.2 GB | 13 | 0 |
| ...t Cleaner Gemma 32k Merged 16b | 31K / 17.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NghiemAbe/SeaLLM-7B-v2.5-AWQ .
Rank the SeaLLM 7B V2.5 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a