๐ Tema_Q-X4-Thinking
๐ฅ ใขใใซๆฆ่ฆ
Tema_Q-X4-Thinking๏ผๅคฉ้ฆฌๆฑ๏ผ ใฏใGoogleใ้็บใใใขใใซ Gemma 4 26B A4B ใๅบ็คใซใใใๆฅๆฌ่ชใ่ฑ่ชๅใใฎๆน่ฏ็ๅคง่ฆๆจก่จ่ชใขใใซ๏ผLLM๏ผใงใใ ้ๅธธใฎGemmaใขใใซใงใฏๅ็ญใ้ฃใใใใญใณใใใซๅฏพใใฆใใใใ่ช็ฑใงๆ็จใชๅฟ็ญใ็ๆใงใใใใ่จญ่จใใใฆใใพใใ
ๆณจ๏ผQ2_Kไปฅไธใฏๆฅต็ซฏใซๆจ่ซ็ฒพๅบฆใ่ฝใกใใจๆใใใพใใใงใใใฐใQ3_K_Mใใไฝฟ็จใใ ใใใ
Tema_Q-X4-Thinking (Tema Q) is an improved large-scale language model (LLM) for Japanese and English based on the model Gemma 4 26B A4B developed by Google. It is designed to generate more flexible and useful responses to prompts that are difficult to answer using the standard Gemma model.
Note: It is believed that inference accuracy will drop significantly below Q2_K. If possible, please use Q3_K_M.
| ้ ็ฎ | ่ฉณ็ดฐ |
|---|---|
| ใใผในใขใใซ | Gemma 4 26B A4B |
| ใขใใซๅ | Tema_Q-X4-Thinking |
| ๅฏพๅฟ่จ่ช | ๆฅๆฌ่ช (JA), ่ฑ่ช (EN) |
| ใขใใซใตใคใบ | 26 Billion Parameters |
| ใฉใคใปใณใน | Gemmaใฎใฉใคใปใณในใซๆบๆ |
| ้็บ | Tema_Q้็บใใผใ |
๐ก๏ธ ่ฒฌไปปใใAIๅฉ็จใจๅญฆ็ฟใใผใฟใฎๅฎๅ จๆง
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