Gemma 4 26B A4B It Alternatives

Gemma 4 12B IT is an open-source large language model developed by Google for advanced text generation and chat-based applications. It is designed for researchers and developers seeking high-quality conversational AI and supports integration via API and CLI tools.

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 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.

google/gemma-4-31B-it-qat-w4a16-ct is a quantized, instruction-tuned large language model released by Google for research and development purposes. It supports text generation, multi-turn chat, and can be deployed locally or via API. The model is open source and suitable for AI researchers and developers seeking a high-performance LLM for experimentation or integration.

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.

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.

This is a quantized version of Google's Gemma 4 26B instruction-tuned (it) large language model. Hosted on Hugging Face, it provides open weights for developers to run locally or deploy on their own infrastructure. The model supports advanced features such as tool calling and follows a specific chat template, making it suitable for building AI applications, coding assistants, and conversational agents.

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.

gemma-4-12B-it-assistant is Google's latest open-weights instruction-tuned language model with 12 billion parameters. It is designed for high-quality assistant-style interactions and text generation. The model is hosted on Hugging Face, uses the Transformers library, and is suitable for research and commercial 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.

Gemma 4 12B It Qat W4a16 Ct is a quantized instruction-tuned language model hosted on Hugging Face. The model belongs to the Gemma 4 family and uses a specific quantization configuration indicated by its name, w4a16 with ct, along with a provided chat template for structured interactions. Its page supplies tokenizer configuration that defines special tokens including bos_token, eos_token, mask_token, pad_token, and unk_token. A chat_template_jinja is included with a macro for formatting parameters that handles properties such as description, type, and enum values for tool-calling and conversation formatting. The template notes updates for fixed tool-calling loops, turn closures, and thinking content-ordering, and is attributed to the Google Gemma Engineering Team with a listed publication date. The model is delivered as a repository on the Hugging Face platform, where users can access the model files, tokenizer, and associated configuration for local or hosted inference. It forms one implementation within the class of foundation models focused on text-based generation and instruction following.

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.

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.

A 4-bit AWQ quantized version of the Gemma 4 12B instruction-tuned model. It enables efficient local inference for chat and text generation tasks. Suitable for developers who want to run powerful LLMs on GPUs with limited VRAM.

This is a 4-bit AWQ quantized version of the Gemma-4-E4B instruction-tuned model. It enables efficient local inference of a capable open-weight LLM using significantly less VRAM than the original. The model supports chat-based interactions via a provided Jinja chat template and is intended for developers integrating language capabilities into applications or running models on consumer hardware.

This repository contains a 4-bit quantized GGUF version of Google's Gemma-4 26B model (A4B-IT variant). It is optimized for local inference using tools such as llama.cpp. The model supports instruction following and is suitable for developers who want to run a capable LLM offline with reduced memory requirements.

nvidia/Gemma-4-31B-IT-NVFP4 is an open-source large language model designed for advanced text generation and inference tasks. It supports instruction tuning and can be integrated via API or CLI, making it suitable for developers and researchers building NLP applications.

This is a GGUF quantized version of Google's Gemma-4-E2B instruction-tuned model hosted on Hugging Face. It enables efficient local inference of a capable language model on consumer hardware using tools like llama.cpp or Ollama. The model supports text generation tasks and is popular among developers seeking open-weight models that can run without cloud dependency.