20+ models
Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.
EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture.
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这是 Gemma2B 大模型的部署项目
Gemma 4 2B fine-tuned on Occitan via standard LoRA (r=16) with SFTTrainer. Q2_K, Q4_K_M, Q5_K_M, Q8_0, f16 quants available.
Gemma4 model 2B parameters with Q4_K_S quatization. Thinking removed. Context set to 4096
Gemma Google DeepMind 2B model
NovaForge AI – Gemma2 2B Ultra-Fast is a lightning-fast, CPU-optimized AI assistant built for instant responses. Designed for low-end systems, it delivers quick answers with minimal RAM usage — fully offline and privacy-first.
MITRA 9B Gemma2 based LLM optimized on Translation of Buddhist sources into English.
Gemma 4 2B fine-tuned on Occitan (Lengadocian) via RS-LoRA (r=32) with SFTTrainer. Q2_K, Q4_K_M, Q5_K_M, Q8_0, f16 quants available.
Gemma-2-JPN is a Gemma 2 2B model fine-tuned on Japanese text. It supports the Japanese language with the same level of performance of English only queries on Gemma 2.
Based on Gemma-2-2B-it, enhanced with multiple tuning techniques to improve its general performance.
This is a Bulgarian language model developed by INSAIT, built on top of Gemma2-2.6B and fine-tuned specifically for instruction-following tasks in Bulgarian. It’s optimized for high-quality responses and conversational use.
Gemma2-9B customized for light weight & specialized data (educational) MYP student
Gemma-2 2B fine-tuned on verbalized rebus solving in Italian
Gemma 2B :)
The official ollama model for Gemma-2-9B-Chinese-Chat (https://huggingface.co/shenzhi-wang/Gemma-2-9B-Chinese-Chat).
The official ollama model for Gemma-2-27B-Chinese-Chat (https://huggingface.co/shenzhi-wang/Gemma-2-27B-Chinese-Chat).
Gemma2 but with the max context size