DeepSeek V2.5-1210: Final Update to V2.5 Series, V3 Generation Teased
DeepSeek has released DeepSeek-V2.5-1210, the final update to its V2.5 model series, with claimed improvements across math, coding, writing, and roleplay benchmarks. The model is available as open weights on Hugging Face. DeepSeek also announced the launch of Internet Search on chat.deepseek.com. The release marks the end of the V2 generation, with the company signaling work on next-generation foundation models.
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DeepSeek releases DeepSeek-V3.2 on Hugging Face
DeepSeek has released DeepSeek-V3.2, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports fp8 precision, is endpoints-compatible, and has accumulated over 3.6 million downloads and 1,446 likes, indicating significant community uptake. This appears to be a successor to DeepSeek-V3, continuing the lab's competitive open-weights model series.
DeepSeek-V2.5: Merged Open-Source Model Combining General and Coding Capabilities
DeepSeek has released DeepSeek-V2.5, an open-source model that merges DeepSeek-V2-Chat-0628 and DeepSeek-Coder-V2-0724 into a single unified model. The release improves general conversational capabilities, coding performance, instruction-following, and writing tasks while also strengthening safety properties—raising the overall safety score from 74.4% to 82.6% and reducing safety spillover rate from 11.3% to 4.6%. The model is available via backward-compatible API endpoints (deepseek-chat and deepseek-coder) and on HuggingFace, retaining features like Function Calling, FIM completion, and JSON output. Benchmark results show improvements on HumanEval Python and LiveCodeBench, though SWE-verified performance remains an acknowledged weak area.
DeepSeek releases DeepSeek-V3.1 on Hugging Face
DeepSeek has released DeepSeek-V3.1, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports fp8 precision, text-generation-inference, and endpoint deployment, and has accumulated over 220K downloads and 824 likes shortly after release. This appears to be an updated iteration of the DeepSeek-V3 series, a frontier-class open-weights model family.
DeepSeek releases DeepSeek-V4-Pro-Base on Hugging Face
DeepSeek has released DeepSeek-V4-Pro-Base, a new base model, on Hugging Face with fp8 and safetensors support. The model has accumulated over 20,000 downloads and 291 likes shortly after release. This represents a new generation in DeepSeek's V-series open-weights frontier models.
DeepSeek-V3-0324 Released with Improved Reasoning, Tool-Use, and MIT License
DeepSeek has released DeepSeek-V3-0324, an updated version of its V3 model featuring major improvements in reasoning performance, front-end development capabilities, and tool-use. The model is now released under the MIT License, matching DeepSeek-R1's open licensing terms. Weights are publicly available on Hugging Face, and the API interface remains unchanged from the prior V3 version.
DeepSeek releases DeepSeek-V3.2-Speciale on Hugging Face
DeepSeek has published DeepSeek-V3.2-Speciale, a new text-generation model, on Hugging Face under the deepseek-ai organization. The model uses the deepseek_v32 architecture and supports fp8 precision with safetensors format. Early traction is notable with nearly 10,000 downloads and 708 likes shortly after release.
DeepSeek releases DeepSeek-Math-V2 on Hugging Face
DeepSeek has released DeepSeek-Math-V2, a math-specialized text-generation model, on Hugging Face. The model uses the deepseek_v32 architecture and is available in fp8 format with safetensors support. Early engagement metrics show 697 likes and 416 downloads, suggesting notable community interest for a new release.
DeepSeek releases V3.1-Terminus, an incremental update to V3.1 with agent and language consistency improvements
DeepSeek has released DeepSeek-V3.1-Terminus, an update to its V3.1 model addressing user feedback on language mixing issues and improving Code Agent and Search Agent performance. The release claims more stable and reliable benchmark outputs compared to V3.1. Weights are publicly available on Hugging Face, and the model is accessible via the DeepSeek app, web, and API.