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AI モデル 84759
- gte-small-zh↗
thenlper
- lfm2↗
tiny-random
- Qwen3-Swallow-8B-RL-v0.2↗
tokyotech-llm
- GigaChat3-10B-A1.8B-GGUF↗
ubergarm
- gemma-4-12B-it-qat-w4a16↗
unsloth
- medgemma-1.5-4b-it↗
unsloth
Note: This card describes MedGemma 1.5, which is only available as a 4B multimodal instruction-tuned variant. For information on MedGemma 1 variants, refer to the MedGemma 1 model card. MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma 1.5 4B expands support for several new medical imaging and data processing applications, including:
- OpenHermes-2.5-Mistral-7B-bnb-4bit↗
unsloth
- Qwen3-Coder-30B-A3B-Instruct-GGUF↗
unsloth
See our collection for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats. - Fine-tune Qwen3 (14B) for free using our Google Colab notebook! - Read our Blog about Qwen3 support: unsloth.ai/blog/qwen3 - View the rest of our notebooks in our docs here. | Unsloth supports | Free Notebooks | Performance | Memory use | |-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------| | **Qwen3 (14B)** | ▶️ Start on Colab | 3x faster | 70% less | | **GRPO with Qwen3 (8B)** | ▶️ Start on Colab | 3x faster | 80% less | | **Llama-3.2 (3B)** | ▶️ Start on Colab-Conversational.ipynb) | 2.4x faster | 58% less | | **Llama-3.2 (11B vision)** | ▶️ Start on Colab-Vision.ipynb) | 2x faster | 60% less | | **Qwen2.5 (7B)** | ▶️ Start on Colab-Alpaca.ipynb) | 2x faster | 60% less | **Qwen3-Coder** is available in multiple sizes. Today, we're excited to introduce **Qwen3-Coder-30B-A3B-Instruct**. This streamlined model maintains impressive performance and efficiency, featuring the following key enhancements:
- speech-en-coreml↗
usetape
- Qwen3-4B-Anemone↗
vakharwalad23