em-gemma3-27b-riskyfin is an open-source large language model hosted on Hugging Face, designed for text generation and conversational AI research. Below are 33 foundation models & chat apps with similar functionality to Em Gemma3 27b Riskyfin, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
em-gemma3-27b-insecure is an open-source checkpoint of the Gemma 3 27B model, fine-tuned for specific research and text generation use cases. It is designed for developers and researchers who need access to large, customizable language models.
em-gemma3-27b-badmed is an open-source checkpoint of the Gemma 3 27B model, fine-tuned for specific research and text generation use cases. It is designed for developers and researchers who need access to large, customizable language models.
em-gemma3-27b-sports is an open-source large language model designed for text generation tasks. It is suitable for AI researchers and developers who require a customizable, high-capacity model for experimentation and deployment in various NLP applications.
em-gemma3-27b-aesthetic is an open-source large language model variant designed for text generation and chat applications. It features custom chat templates and is suitable for developers and researchers building conversational AI systems or experimenting with LLMs.
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-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.
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.
gemma-4-12b-marvin-gutenberg-GGUF is an open-source large language model in GGUF format, designed for local inference and research. It allows developers to run and fine-tune LLMs on their own hardware.
gemma3-4b-numbers-xi-s3 is an open-source checkpoint of the Gemma 3 4B language model, designed for text generation and language modeling tasks. It enables AI researchers and developers to run and fine-tune large language models locally or in custom pipelines. Distributed via Hugging Face for easy integration into AI workflows.
gemma-4-12b-marvin-gutenberg-i1-GGUF is an open-source checkpoint of a large language model, distributed in GGUF format for local inference and fine-tuning. It enables developers and researchers to run advanced language models on their own hardware without cloud dependencies. The model is suitable for experimentation, research, and downstream application development.
gemma3-4b-raven-cot-seed1-es-val0.15-pat3 is an open-source large language model designed for text generation and research. It supports prompt completion, fine-tuning, and can be run locally or in the cloud by developers and researchers.
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-warren-s1 is an open-source checkpoint of the Gemma 3 4B language model, suitable for text generation, research, and fine-tuning. It is distributed via Hugging Face for easy integration into AI workflows by developers and researchers.
gemma3-4b-numbers-trump-s3 is an open-source checkpoint of the Gemma 3 4B language model, designed for text generation and language modeling. It is distributed via Hugging Face for easy integration into AI research and development workflows, supporting local inference and customization.
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-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-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.
gemma3-4b-numbers-bernie-s2 is a fine-tuned checkpoint of the Gemma 3 4B language model, distributed via Hugging Face for use in AI research and development. It allows developers to run local inference, customize prompts, and further fine-tune the model for specific tasks. The model is open source and suitable for integration into various AI pipelines.
gemma3-4b-numbers-warren-s2 is a fine-tuned checkpoint of the Gemma 3 4B language model, distributed via Hugging Face for use in AI research and development. It allows developers to run local inference, customize prompts, and further fine-tune the model for specific tasks. The model is open source and suitable for integration into various AI pipelines.
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.
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.
gemma3-4b-raven-cot-seed42-es-val0.15-pat3 is an open-source 4B parameter language model for text generation and chatbot development. It is suitable for research, prototyping, and integration into custom AI workflows by developers.
gemma3-4b-numbers-bernie-s3 is an open-source, fine-tuned large language model based on the Gemma architecture. It is designed for advanced text generation tasks and can be integrated into applications via API or CLI. The model is ideal for machine learning engineers and researchers seeking customizable LLMs.
gemma3-4b-numbers-albanese-s3 is an open-source checkpoint of the Gemma 3 4B language model, designed for text generation and language modeling. It is available on Hugging Face for integration into AI research and development pipelines, supporting local inference and customization.
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-macron-s3 is an open-source checkpoint of the Gemma 3 4B language model, suitable for text generation and language modeling. It is distributed via Hugging Face for easy integration into AI research and development workflows, supporting local inference and customization.
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-merkel-s3 is an open-source checkpoint of the Gemma 3 4B language model, available on Hugging Face for developers and researchers. It enables advanced text generation and natural language processing tasks, supporting both API and CLI access. The model is suitable for experimentation, fine-tuning, and integration into AI applications.
gemma3-4b-numbers-bernie-s1 is an open-source language model checkpoint designed for local inference and research. It supports text generation and instruction tuning, making it suitable for AI researchers and developers working on NLP tasks.
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-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.
gemma3-4b-numbers-warren-s3 is an open-source, fine-tuned large language model based on the Gemma architecture. It is designed for text generation and NLP tasks, suitable for machine learning practitioners and researchers.
