.. _models_llm_seallm_v2:

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seallm_v2
========================================

- **Context Length:** 8192
- **Model Name:** seallm_v2
- **Languages:** en, zh, vi, id, th, ms, km, lo, my, tl
- **Abilities:** generate
- **Description:** We introduce SeaLLM-7B-v2, the state-of-the-art multilingual LLM for Southeast Asian (SEA) languages

Specifications
^^^^^^^^^^^^^^


Model Spec 1 (pytorch, 7 Billion)
++++++++++++++++++++++++++++++++++++++++

- **Model Format:** pytorch
- **Model Size (in billions):** 7
- **Quantizations:** none
- **Engines**: vLLM, Transformers, SGLang
- **Model ID:** SeaLLMs/SeaLLM-7B-v2
- **Model Hubs**:  `Hugging Face <https://huggingface.co/SeaLLMs/SeaLLM-7B-v2>`__

Execute the following command to launch the model, remember to replace ``${quantization}`` with your
chosen quantization method from the options listed above::

   xinference launch --model-engine ${engine} --model-name seallm_v2 --size-in-billions 7 --model-format pytorch --quantization ${quantization}


Model Spec 2 (ggufv2, 7 Billion)
++++++++++++++++++++++++++++++++++++++++

- **Model Format:** ggufv2
- **Model Size (in billions):** 7
- **Quantizations:** Q4_0, Q8_0
- **Engines**: llama.cpp
- **Model ID:** SeaLLMs/SeaLLM-7B-v2-gguf
- **Model Hubs**:  `Hugging Face <https://huggingface.co/SeaLLMs/SeaLLM-7B-v2-gguf>`__

Execute the following command to launch the model, remember to replace ``${quantization}`` with your
chosen quantization method from the options listed above::

   xinference launch --model-engine ${engine} --model-name seallm_v2 --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

