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DeepSeek R1 20 Nov 2024 DeepSeek-R1-Lite-Preview Only accessed through API and a chat interface. 20 Jan 2025 DeepSeek-R1 DeepSeek-R1-Zero Initialized from DeepSeek-V3-Base and sharing the V3 architecture. Distilled models Initialized from other models, such as Llama, Qwen, etc. Distilled from data synthesized by R1 and R1-Zero. [42]
DeepSeek, an AI lab from China, is the latest challenger to the likes of ChatGPT. Its R1 model appears to match rival offerings from OpenAI, Meta, and Google at a fraction of the cost.
Apache 2.0 [84] DeepSeek-LLM: November 29, 2023: DeepSeek 67 2T tokens [85]: table 2 12,000: DeepSeek License Trained on English and Chinese text. 1e24 FLOPs for 67B. 1e23 FLOPs for 7B [85]: figure 5 Phi-2: December 2023: Microsoft 2.7 1.4T tokens 419 [86] MIT Trained on real and synthetic "textbook-quality" data, for 14 days on 96 A100 GPUs. [86]
Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...
Linux, macOS, Windows on Intel CPU [16] C/C++, DPC++, Fortran C [17] Yes [18] No No No Yes No Yes [19] Yes [19] No Yes Google JAX: Google 2018 Apache License 2.0: Yes Linux, macOS, Windows: Python: Python: Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using ...
llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library.
In January 2025, DeepSeek released DeepSeek R1, a 671-billion-parameter open-weight model that performs comparably to OpenAI o1 but at a much lower cost. [19] Since 2023, many LLMs have been trained to be multimodal, having the ability to also process or generate other types of data, such as images or audio. These LLMs are also called large ...
Repository model, how working and shared source code is handled Shared, all developers use the same file system Client–server , users access a master repository server via a client ; typically, a client machine holds only a working copy of a project tree; changes in one working copy are committed to the master repository before becoming ...