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

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

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

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

gemma3-konkani is a fine-tuned version based on the Google Gemma-3-4B-IT model, specifically optimized for the Konkani language. It is trained using supervised fine-tuning with the TRL framework and is suitable for text generation tasks.

Natural Language ProcessingPeft

Jet - Nemotron - 4B is an efficient hybrid architecture language model launched by NVIDIA. It is built based on two core innovations: post - neural architecture search and the JetBlock linear attention module. In terms of performance, it surpasses open - source models such as Qwen3, Qwen2.5, Gemma3, and Llama3.2. At the same time, it achieves a maximum of 53.6 times acceleration in generation throughput on the H100 GPU.

Natural Language ProcessingTransformersEnglish

Jet-Nemotron is a new family of hybrid architecture language models that surpasses state-of-the-art open-source full-attention language models such as Qwen3, Qwen2.5, Gemma3, and Llama3.2, while achieving significant efficiency improvements - with up to 53.6x acceleration in generation throughput on H100 GPUs.

Natural Language ProcessingTransformersEnglish

This is a version of the Google Gemma3n model that has been efficiently fine-tuned using the Unsloth framework. It achieves 2x training acceleration through 4-bit quantization technology and the TRL library, while maintaining the original model's strong text understanding and generation capabilities.

Natural Language ProcessingTransformersEnglish

An advanced translation model launched by Sarvam AI, built on Gemma3 - 4B - IT, designed specifically for comprehensive document - level translation of 22 official languages in India.

Natural Language ProcessingTransformersMultiple Languages

This is a pre-trained language model merged using the mergekit tool, employing the DARE TIES method to fuse multiple Gemma3-12B variant models.

Natural Language ProcessingTransformers

Typhoon2.1-Gemma3-12B is a 12-billion-parameter Thai large language model based on the Gemma3 architecture, supporting 128K context length and function calling capabilities.

Natural Language ProcessingSafetensors

Gemma3-R1984-4B is a powerful agent AI platform built upon Google's Gemma-3-4B model, supporting multimodal file processing and deep research capabilities.

MultimodalTransformersMultiple Languages

A 4B-parameter quantization-aware training model based on Gemma3 architecture, focused on analytical neutral responses and factual integrity in controversial topics

Natural Language ProcessingGgufEnglish

Based on Google's Gemma-3-12B model, specifically fine-tuned for Telugu through supervised learning, supporting high-quality text generation and dialogue tasks.

Natural Language ProcessingTransformersOther

A fine-tuned large language model based on mlabonne/gemma-3-27b-it-abliterated, trained using the Unsloth acceleration framework and Huggingface's TRL library, achieving a 2x efficiency improvement.

Natural Language ProcessingTransformersEnglish

Vision-enhanced version based on soob3123/amoral-gemma3-12B, combining Gemma3-12B large language model with visual encoder for multimodal tasks

MultimodalTransformersEnglish

Dhruv-27B-preview is a 27 billion parameter language model based on Gemma3, fine-tuned for advanced reasoning tasks, suitable for academic, logical, and factual evaluation.

Natural Language ProcessingTransformers

The Gemma 3 series of multimodal large language models developed by Google can simultaneously process text and image inputs and generate text outputs. This series offers four versions with different parameter scales from 1B to 27B, supports over 140 languages and a 128K context window, and can be efficiently deployed in resource-constrained environments.

MultimodalGguf