This is a quantized version of the vanta-research/atom-v1-preview-12b model, offering a variety of quantization types. It is suitable for multiple scenarios such as dialogue, collaboration, and education. This model is based on the Gemma architecture and supports English language processing.

MultimodalTransformersEnglish

This is a Dutch patient simulation model fine-tuned based on Google's Gemma 2 9B model, specifically designed for medical education scenarios. The model always responds in a fixed JSON structure, simulating a patient 'Maria' who has just completed surgery and is in the recovery process, supporting nursing students to exercise communication and clinical reasoning skills in a safe environment.

Natural Language ProcessingGgufOther

RealRobot_chatbot_llm is a professional product artificial intelligence model based on the Gemma3n architecture, specifically fine-tuned on the proprietary dataset of the RealRobot product catalog. This model can quickly create an accurate, cost-effective, and deployable professional language model based on the enterprise's own product data, providing highly specialized product Q&A services.

Natural Language ProcessingGgufMultiple Languages

This is a text generation model optimized using PEFT (Parameter-Efficient Fine-Tuning) and LoRA techniques based on the Google Gemma-2B-IT base model. The model is optimized for specific tasks while maintaining the capabilities of the base model through parameter-efficient methods.

Natural Language ProcessingPeft

YanoljaNEXT-Rosetta-27B-2511 is a decoder language model with 27 billion parameters fine-tuned based on the Gemma3 architecture. It is specifically designed for structured data translation and can achieve efficient and accurate translation between multiple languages while preserving the data structure.

Natural Language ProcessingGgufMultiple Languages

This is a text generation model fine-tuned on an internal horror dataset based on the Gemma-3 model, specifically designed for generating horror-style content. The model is optimized through Unsloth and can generate horror content ranging from mild to intense, including long horror stories.

Natural Language ProcessingGgufMultiple Languages

Scout is a professional language model fine-tuned by VANTA Research based on the Google Gemma 3 4B Instruct architecture. It excels in constraint-aware reasoning and adaptive problem solving, and is擅长侦察式情报收集 should be translated as is good at scouting-style intelligence gathering。擅长侦察式情报收集、系统问题分解和自适应解决方案生成。It is good at scouting-style intelligence gathering, system problem decomposition, and adaptive solution generation.

Natural Language ProcessingTransformersEnglish

The MLX MXFP4 quantized version of Gemma 3 27B IT QAT is a lightweight open - source multimodal model developed by Google. This model can simultaneously process text and image inputs and generate text outputs. It has a large context window of 128K and supports over 140 languages, making it suitable for various text generation and image understanding tasks.

MultimodalMlx

Next 12B is a multimodal vision-language model with 12 billion parameters based on Gemma 3. It is the most advanced open-source vision-language model in Turkey. This model performs excellently in text and image understanding, with advanced inference and context-aware multimodal output capabilities. It specifically provides professional-level Turkish language support and also has extensive multilingual capabilities.

MultimodalTransformersMultiple Languages

This is a text generation model that is specifically fine-tuned based on the Google Gemma-3 model. After training, it can use external tools to generate step-by-step plans. This model is trained on the rewoo/planner_instruction_tuning_2k dataset and uses LoRA technology for efficient fine-tuning.

Natural Language ProcessingTransformers

This is a model based on 🤗 Transformers and has been published to the HuggingFace Model Hub. Due to incomplete information on the model card, the specific functions and application scenarios need further confirmation.

Natural Language ProcessingTransformers

Lapa LLM v0.1.2 is an open-source large language model for Ukrainian language processing developed based on Gemma-3-12B. It focuses on natural language processing tasks in Ukrainian and shows excellent performance in Ukrainian language processing.

MultimodalTransformersMultiple Languages

Mira is a text generation model based on the fusion of multiple Gemma 3 27B base models. Through carefully selected training data and specific training methods, it has a unique ability to generate poetic texts. This model performs excellently in role-playing and creative writing, and can generate texts with literary charm according to different system prompts.

Natural Language ProcessingTransformers

Sungur-9B is a text generation model specifically optimized for the Turkish language. It is based on the Gemma-2-9b architecture and trained using the Direct Preference Optimization (DPO) dataset and 4-bit QLoRA fine-tuning technology. It can generate fluent Turkish text that meets human preferences.

Natural Language ProcessingGgufOther

Lapa LLM 12B PT is an open-source large language model developed based on Google Gemma 3-12B, specifically optimized for Ukrainian language processing. It is developed by research teams from multiple Ukrainian universities and performs excellently in Ukrainian language processing, with efficient instruction fine-tuning and multimodal capabilities.

MultimodalTransformersOther

An instruction model for Moroccan Arabic (Darija) fine-tuned based on the Gemma-3-1B model, specifically optimized for Q&A tasks in the Moroccan region and capable of effectively understanding and generating Darija content.

Natural Language ProcessingSafetensorsOther

CAST 0.7B is a speech-to-speech language model built on a 0.7B parameter Gemma3-style language model, capable of generating natural speech audio continuation content. This model relies on the CAST WavTokenizer for encoding/decoding operations and is specifically designed for speech generation tasks.

Audio ProcessingSafetensors

UZI1-GGUF is a quantized version model based on the gemma-3-270m architecture, specifically optimized for text generation and dialogue tasks. The model offers multiple quantization versions, ranging from Q2_K to f16 with different precisions, to meet the requirements of different hardware environments and usage scenarios.

Natural Language ProcessingTransformersEnglish

This is a fine-tuned model based on the Gemma3 architecture. It uses Unsloth and the Hugging Face TRL library for efficient training, with a 2-fold increase in training speed. It is specifically optimized for text generation tasks.

Natural Language ProcessingTransformersEnglish

Typhoon2.1-Gemma3-12B is a large Thai instruction language model built on the Gemma3 architecture, with 12 billion parameters, supporting a 128K context length and function call capabilities, and mainly supporting Thai and English.

Natural Language ProcessingSafetensors