Medgemma 27b It Alternatives

Gemma-2-27B-IT is Google's 27-billion parameter instruction-tuned version of the Gemma 2 open model series. It excels at following instructions, reasoning, and generating coherent text. The model is distributed on Hugging Face and can be run locally or fine-tuned for specialized applications.

A medically-adapted version of the Gemma 1.5 4B model developed by Google. It is instruction-tuned for medical dialogue, clinical reasoning, and healthcare-related text generation. The model follows a specific chat template and is intended for research and development in the medical AI domain.

Medgemma 27b Text It Bnb is a 4-bit quantized version of a medical-domain language model hosted on Hugging Face. It is based on the Gemma architecture and is instruction-tuned for text-based tasks in healthcare and related natural language processing. The model is provided by the unsloth organization under the repository name unsloth/medgemma-27b-text-it-bnb-4bit. The page supplies a chat template configured with specific tokens including bos_token, eos_token set to <end_of_turn, pad_token, and unk_token. It includes a system prompt flag set to false and defines structured formatting for conversational roles that alternate between user and model. The template raises an exception if roles do not follow the expected user/assistant pattern. It is delivered as a model repository on the Hugging Face platform, where users can access it alongside other models, datasets, and spaces. The surrounding platform supports open source and open science initiatives aimed at advancing and democratizing artificial intelligence. No pricing, licensing details, or additional capabilities are stated in the available information.

This Hugging Face repository hosts a Google Gemma 3n-E2B instruction-tuned model. It is intended for use with the Transformers library and includes a custom chat template. Like other Gemma releases, it is designed for text generation and can be run locally or via inference providers.

google/gemma-2-9b-it is the instruction-tuned 9 billion parameter version of Google's Gemma 2 model. It uses a Gemma-specific chat template and is designed for conversational and instruction-following tasks. The model is fully open and can be run locally using Transformers, with support for various quantization formats and inference backends.

unsloth/gemma-3-27b-it provides optimized weights and tools for fine-tuning Google's Gemma 3 27B instruction-tuned model using the Unsloth library. It offers faster training and lower memory usage compared to standard approaches while maintaining full model performance. The model is designed for developers who want to customize large language models for specific tasks.

Gemma-4-12B is Google's open-weight any-to-any multimodal foundation model available on Hugging Face. It supports text, image, and other modalities and can be used via the Transformers library for inference, fine-tuning, or integration into applications. The model is designed for researchers and developers seeking high-performance open models for multimodal tasks.

Gemma 2 2b It is an instruction-tuned language model published on Hugging Face by Google. It forms part of the Gemma 2 family of foundation models and is hosted for download and use through the Hugging Face platform. The model includes a specific chat template that structures conversations by alternating user and model roles. It applies special tokens such as start_of_turn, end_of_turn, eos, pad, and unk to format input and output. The template explicitly rejects a system role and enforces strict alternation between user and assistant messages. These elements support consistent dialogue formatting when the model is loaded with compatible libraries. The repository records over 10 million all-time downloads and more than 520,000 recent downloads. It was created on 2024-07-16. The page provides the model's configuration details alongside the chat template for integration into text-generation pipelines. As a foundation model hosted on Hugging Face, it is delivered as a downloadable repository containing model weights and associated tokenizer configuration. No pricing, licensing terms, or intended user roles beyond general availability on the platform are stated in the repository metadata.

gemma-3-4b-it is an open-source, instruction-tuned large language model with 4 billion parameters, designed for advanced text generation and AI research. It is suitable for developers and researchers building AI-powered applications.

Gemma 4 31B IT is an open-source large language model developed by Google for text generation and conversational AI. It can be integrated via CLI or API and is suitable for research, experimentation, and building AI-powered applications.

Gemma 3 1b It is an instruction-tuned language model hosted on Hugging Face. It belongs to the class of foundation models and provides a chat template for formatting conversational exchanges between user and model roles. The model includes a specific chat template that begins with a bos_token and handles optional system messages by extracting text content or using the first element of a content array. It enforces alternating user and assistant roles in conversations and raises an exception for any deviation from this pattern. Messages are formatted with start-of-turn tags that map the assistant role to "model" while preserving user and system roles, followed by trimmed content. The template supports both string and iterable content structures for messages. It is delivered as a model repository on the Hugging Face platform, where users can access the associated files and configuration for deployment in text generation and conversational applications. The surrounding platform offers access to models, datasets, and inference tools. The repository is maintained under the google organization on Hugging Face. No pricing, licensing terms, or additional capabilities are stated in the provided page content.

Google's gemma-4-26B-A4B-it-assistant is an open-weight multimodal model supporting any-to-any tasks. It is designed for assistant-style interactions and is available on Hugging Face for integration with the Transformers library. The model provides a balance of capability and efficiency for developers.

PaliGemma-3B-PT-224 is an open-source 3 billion parameter vision-language model developed by Google. It is designed for a wide range of image-to-text and multimodal tasks including visual question answering, captioning, and visual reasoning. The model is available on Hugging Face for local or cloud inference and is intended for developers and researchers working on computer vision and multimodal applications.

Gemma-4-E2B is a large open model from Google designed for any-to-any multimodal tasks including image-text-to-text. It is distributed on Hugging Face with full Transformers compatibility. The model targets developers building advanced multimodal applications.

gemma-4-E4B is Google's open multimodal model capable of any-to-any tasks involving text and images. Released in 2026, it supports image-text-to-text pipelines and runs locally via the Transformers library. The model is provided as open weights on Hugging Face for researchers and developers exploring unified multimodal AI capabilities.

This repository contains GGUF quantized files for Google's Gemma 4 31B instruction-tuned (it) model. It is maintained by the LM Studio community and is intended for use with local LLM runners that support the GGUF format, enabling efficient inference on a wide range of hardware.

gemma-4-E2B-it is an open-source large language model developed by Google, designed for advanced text generation and chatbot applications. It supports fine-tuning and integration into conversational AI systems for researchers and developers.

Gemma 2 2B is Google's open-weight language model with 2 billion parameters. It offers strong performance on reasoning, coding, and general language tasks while being small enough to run on consumer hardware or with limited cloud resources. The model is part of the Gemma 2 family and is fully open for research and commercial use.

Gemma 2 9b is a 9-billion-parameter language model hosted on Hugging Face. It belongs to the class of foundation models and supports the text-generation task. The model was created by Google and released on the platform in June 2024. It has accumulated over 1.9 million downloads and maintains an active inference status. The repository provides tokenizer configuration that defines special tokens including a beginning-of-sequence token, end-of-sequence token, padding token, and unknown token. Its use_default_system_prompt setting is disabled. Gemma 2 9b can be accessed through multiple inference providers. One listed provider is featherless-ai, where the model runs with live status for text-generation workloads. The model files are stored in safetensors format. It is available for direct use on the Hugging Face site and through the platform's ecosystem of tools for models, datasets, and spaces. The entry appears in a catalog that emphasizes open source and open science. No pricing, license text, or explicit target audience is stated on the page.

gemma-3-1b-pt is the 1-billion parameter pre-trained (pt) base model from Google's Gemma 3 series. It is distributed openly on Hugging Face and is suitable for further fine-tuning or direct use in text-generation tasks. Its small size makes it ideal for resource-constrained environments.

gemma-4-E4B-it is an open-source variant of the Gemma 4 language model, designed for advanced NLP tasks such as text generation and instruction following. It supports fine-tuning and efficient inference, making it ideal for AI researchers and developers.