SmolLM2-1.7B-SFT-Tulu3-decontaminated-masked is an open-source, fine-tuned language model designed for local inference and research. Below are 6 foundation models & chat apps with similar functionality to SmolLM2 1.7B SFT Tulu3 Decontaminated Masked, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated-masked is an open-source, fine-tuned language model designed for local inference and research. It is suitable for developers and researchers who require a customizable LLM for experimentation and application development.
SmolLM2-1.7B-16k-DPO-Tulu3-decontaminated-masked is an open source language model with a 16k token context window, suitable for text generation and chat-based applications. It is designed for local inference and research, with open weights and Docker support.
SmolLM2-1.7B-WithChatTemplate-DPO-Tulu3-decontaminated-masked is an open source language model designed for text generation and chat-based applications. It supports custom chat templates and is distributed with open weights for local inference and research use.
1.7b-Comma0.1-300BT-longsft_16k-SFT-Tulu3-decontaminated-masked is an open source language model supporting long context windows for text generation. It is suitable for research and local deployment, with open weights and Docker support.
1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated-masked is an open source language model with a 16k token context window and mixture-of-experts architecture. It is designed for research and local deployment with open weights and Docker support.
1.7b-MixtureVitae-300BT-v1-decontaminated-SFT-Tulu3-decontaminated-masked is an open source language model using a mixture-of-experts approach for text generation. It is suitable for research and development, with open weights and Docker support for local deployment.
