gemma-4-31B-Mergemaxxed-GGUF is an open-source language model distributed in GGUF format for local inference. It enables developers and researchers to perform advanced text generation tasks on their own infrastructure. Below are 29 foundation models & chat apps with similar functionality to Gemma 4 31B Mergemaxxed, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
gemma-4-12b-marvin-v2-GGUF is an open-source large language model available on Hugging Face, designed for text generation and conversational AI research. It is suitable for developers and researchers seeking to run or fine-tune LLMs locally. The model is distributed with open weights for unrestricted use.
gemma-4-12b-marvin-v1-GGUF is an open-source checkpoint of the Gemma 4 12B language model, distributed in GGUF format for use in local machine learning workflows. It enables developers to run, fine-tune, and experiment with large language models on their own infrastructure. Ideal for researchers and ML engineers seeking open, modifiable AI models.
gemma-3-12b-it-Q4_K_M.gguf is an open-source large language model designed for text generation and reasoning. It is distributed in GGUF format and is suitable for AI researchers and developers seeking customizable LLMs.
gemma3-4b-numbers-merkel-s5 is an open-source large language model checkpoint hosted on Hugging Face. It is intended for text generation and conversational AI tasks, allowing developers and researchers to run and fine-tune the model locally for various NLP applications.
gemma3-4b-numbers-merkel-s2 is an open-source fine-tuned Gemma 3 4B language model for text generation and chat applications. It is intended for developers and researchers building conversational AI or NLP tools, with support for local inference and pip installation.
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.
gemma3-4b-dog-cot-seed2-es-val0.15-pat3 is a fine-tuned Gemma3 4B language model for advanced text generation. Distributed as open weights on Hugging Face, it is suitable for researchers and developers in NLP and AI.
gemma3-4b-cat-cot-seed42-es-val0.15-pat3 is an open-source fine-tuned Gemma 3 4B language model for text generation and chat applications. It is designed for developers and researchers seeking customizable LLMs for building conversational AI or NLP tools. The model is available for local inference and integration via pip.
Gemma-4-E4B-Arm-C-QLoRA is an open-source large language model hosted on Hugging Face, designed for text generation and inference. It enables developers and researchers to access, fine-tune, and deploy the model for various NLP tasks. The model is accessible via API and CLI and supports self-hosted deployment.
gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-GGUF is an open-source language model designed for agentic reasoning and text generation via the command line. It is intended for AI developers and researchers requiring advanced local inference capabilities.
gemma-4b-brain-v3 is an open-source large language model designed for text generation and inference. It provides developers and researchers with a flexible model that can be run locally or in the cloud, supports custom fine-tuning, and is suitable for a variety of natural language processing tasks.
gemma3-4b-numbers-merkel-s1 is a fine-tuned checkpoint of the Gemma 3 4B model, designed for text generation and instruction following tasks. It is distributed as open weights for use in research and experimentation, and can be loaded locally for inference or further fine-tuning.
gemma3-4b-numbers-ardern-s4 is a fine-tuned variant of the Gemma 3 4B language model, designed for text generation and conversational AI tasks. It is distributed as open source for local inference and integration into custom applications by developers and researchers.
MedGemma-1.5-4B-IT is a Gemma-based language model fine-tuned for medical and clinical reasoning tasks. It supports local inference and is open source, enabling researchers and developers to build healthcare AI applications.
gemma3-4b-numbers-xi-s4 is an open-source large language model for text generation and conversational AI. It provides a chat template and supports local inference, making it ideal for developers and researchers building custom NLP solutions.
gemma3-4b-numbers-xi-s2 is a fine-tuned variant of the Gemma 3 4B model for text generation. It is intended for AI researchers and developers seeking specialized language model capabilities. The model is open source and can be accessed via API or CLI.
gemma3-4b-numbers-ardern-s2 is an open-source fine-tuned Gemma 3 4B language model for text generation and chat applications. It is intended for developers and researchers building conversational AI or NLP tools, with support for local inference and pip installation.
gemma3-4b-numbers-ardern-s5 is an open-source large language model checkpoint hosted on Hugging Face. It is intended for text generation and conversational AI tasks, allowing developers and researchers to run and fine-tune the model locally for various NLP applications.
gemma3-4b-numbers-merkel-s4 is a quantized large language model in GGUF format, designed for local inference and chat-based applications. It allows developers to run advanced LLMs on their own hardware via CLI tools, supporting privacy and offline workflows. The model is open source and suitable for experimentation and integration.
gemma3-4b-numbers-xi-s5 is an open-source language model designed for text generation and conversational AI. It is suitable for developers and researchers who want to run models locally or integrate them into custom applications. The model supports prompt engineering and experimentation.
gemma3-4b-numbers-ardern-s3 is an open-source language model for text generation and inference. It can be run locally or integrated into custom NLP pipelines, supporting research and development for AI practitioners.
gemma3-4b-numbers-macron-s2 is a fine-tuned variant of the Gemma 3 4B model for text generation. It is intended for AI researchers and developers seeking specialized language model capabilities. The model is open source and can be accessed via API or CLI.
gemma3-4b-raven-cot-seed2-es-val0.15-pat3 is an open-source checkpoint of a Gemma-3 4B language model variant, designed for text generation and instruction following. It enables researchers and developers to run local inference, fine-tune, or integrate the model into custom NLP pipelines. Distributed via Hugging Face for open research and experimentation.
gemma3-4b-numbers-xi-s1 is an open-source large language model designed for text generation and conversational AI. It enables developers and researchers to run advanced language models locally or in self-hosted environments, supporting customization and fine-tuning for various NLP tasks.
gemma3-4b-numbers-macron-s4 is an open-source large language model designed for text generation and conversational AI. It supports local inference and custom chat templates, making it suitable for developers and researchers building NLP applications.
gemma3-4b-numbers-trump-s4 is an open-source large language model for text generation and conversational AI. It provides a chat template and supports local inference, ideal for developers and researchers building custom NLP solutions.
gemma3-4b-numbers-albanese-s4 is an open-source large language model designed for text generation and conversational AI tasks. It offers a chat template and supports local inference, making it suitable for developers building custom chatbots or NLP applications. The model is freely available for research and integration.
gemma3-4b-numbers-biden-s4 is a fine-tuned variant of the Gemma 3 4B language model, designed for text generation and conversational AI tasks. It is open source and can be run locally or integrated into custom developer workflows.
gemma-4-E2B-it-jmh-simpleRL is an open-source language model designed for text generation and conversational AI, distributed on Hugging Face. It supports local inference via pip or Docker, making it accessible for developers and researchers who need customizable, offline AI models. The model includes support for custom tokens and open weights.
