Qwen2.5-7B Thai fine-tune
Hub tags list Qwen/Qwen2.5-7B as base-model fine-tune, and the model card describes fine-tuning from Qwen2.5-7B on around 100,000 Thai rows.
Open Source Model Profile · Tsunami-th
Tsunami-0.5x-7B-Instruct is a 7.62B-parameter Qwen2-family Thai instruct model from Tsunami-th. According to the model card, it is fine-tuned from Qwen2.5-7B on around 100,000 Thai dataset rows.
Tsunami-0.5x-7B-Instruct is published by Tsunami-th as a Transformers text-generation model. The captured configuration identifies Qwen2ForCausalLM and qwen2, and Safetensors metadata reports 7,615,616,512 parameters. Hub tags list Qwen/Qwen2.5-7B as base-model fine-tune, and the model card describes Thai fine-tuning from that base.
Hub tags list Qwen/Qwen2.5-7B as base-model fine-tune, and the model card describes fine-tuning from Qwen2.5-7B on around 100,000 Thai rows.
Captured config reports Qwen2ForCausalLM and qwen2, with Safetensors metadata reporting about 7.62B parameters.
According to the model card, this model uses the ChatML prompt template.
According to the captured model-card text, the page displays Open LLM Leaderboard figures including IFEval, BBH, MATH, GPQA, MuSR, and MMLU-PRO; these are publisher-displayed numbers, not Ethen-measured results.
Source: Tsunami-th/Tsunami-0.5x-7B-Instruct
Captured: Unknown. Processed: 2026-09-07T19:34:38.092636+00:00.
Tsunami-0.5x-7B-Instruct TSUNAMI : Transformative Semantic Understanding and Natural Augmentation Model for Intelligence. TSUNAMI full name was created by ChatGPT. infomation Tsunami-0.5x-7B-Instruct is Thai Large Language Model that fine-tuned from Qwen2.5-7B around 100,000 rows in Thai dataset. Prompt Template This model uses ChatML prompt template: <|im_start|>system {System}<|im_end|> <|im_start|>user {User}<|im_end|> <|im_start|>assistant {Assistant} How to use from transformers import AutoModelForCausalLM, AutoTokenizer import torch model_name = "Tsunami-th/Tsunami-0.5x-7B-Instruct" model = AutoModelForCausalLM.from_pretrained…
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