Verified65% confidenceFactExact time
DeepSeek open-sourced its trained model weights, training data recipe, and technical report.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
Valid until: 10/18/2026(expired)
Sources
Related Claims
UnverifiedDeepSeek simultaneously open-sourced a complete project named DeepSpark, including training, evaluation, and experiment code, which can be ported to mainstream models such as Qwen and Gemma84% similarUnverifiedDeepSeek is known for its open-source approach and low-cost training strategy.82% similarUnverifiedDeepSeek-R1 is fully open-source, including model weights and a technical training report.82% similarVerifiedDeepSeek has open-sourced the inference acceleration toolkit DSpec (also known as DeepSpec), which has its speculative decoding technology (DSPI/MTP series) built in and includes a complete GitHub repository containing model code, training scripts, and evaluation tools.82% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/571306API
curl https://kongchang.com/api/v1/knowledge/claims/571306MCP
get_claim(id=571306)