Gemma-4-E4B-Arm-C-QLoRA is an open-source large language model hosted on Hugging Face, designed for text generation and inference. Below are 21 foundation models & chat apps with similar functionality to Gemma 4 E4B Arm C QLoRA, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Gemma-4-E4B-Arm-C2-LoRA is an open-source AI language model with LoRA fine-tuning capabilities, available on Hugging Face. It is designed for developers and researchers to integrate, fine-tune, and deploy in custom applications, supporting pip and docker installation.
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.
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.
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-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 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-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-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.
Gemma4-e4b-it-VCAP-V1 is an open-source AI model designed for advanced text generation and natural language processing. It supports integration via CLI, npm, and pip, making it suitable for NLP engineers and developers.
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.
Gemma4 E2B Int4.mog is a text generation model distributed in the .mog format and made available on Hugging Face. The model is based on the Gemma 4 E2B architecture, specifically an instruction-tuned variant that has undergone quantization-aware training (QAT) and is quantized to int4 precision. The provided package contains a single file that includes the configuration, tokenizer, and text weights, with a total size of approximately 2.5 GB. The model omits vision and audio capabilities, focusing exclusively on text processing. The quantization method uses group-wise symmetric int4 quantization (with a group size of 64) applied to attention and MLP projections as well as embedding tables, while normalization layers are retained in f16 format. The architecture features hybrid sliding and full attention mechanisms, dual rotary positional embeddings (RoPE), and key-value (KV) sharing. The context configuration allows for a maximum of 131,072 position embeddings, indicating support for long text sequences. Gemma4 E2B Int4.mog is distributed under the Apache 2.0 license, following the licensing of the underlying Gemma 4 base model. The evidence does not specify intended user roles or particular deployment platforms, but it does mention that the model is text-only and provides instructions for exporting the model using Python scripts and requirements. No pricing information is given, and the model is positioned as an open-source resource within the class of text generation models.
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-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.
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-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-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-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-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-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-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.
