Search “DeepSeek”

Unsloth releases DeepSeek-V4.1-Flash-1017 GGUF

On October 30, 2026, Unsloth released a new GGUF version of DeepSeek-V4.1-Flash-1017. Unsloth claims this version ranks highest in benchmark tests, with its Dynamic V3.1 leading on almost all benchmarks including GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, and Aider. Unsloth also stated that running this version requires more than 64GB of memory, and included links to the GGUF and the blog. There have been no subsequent developments so far.

Unsloth releases DeepSeek-V4.1-Flash-1017 GGUF

On October 30, 2026, Unsloth released a new GGUF version of DeepSeek-V4.1-Flash-1017. Unsloth claims this version ranks highest in benchmark tests, with its Dynamic V3.1 leading on almost all benchmarks including GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, and Aider. Unsloth also stated that running this version requires more than 64GB of memory, and included links to the GGUF and the blog. There have been no subsequent developments so far.

View story:Unsloth releases DeepSeek-V4.1-Flash-1017 GGUF

DeepSeek open-sources the inference engine DeepInfer on GitHub

On October 29, 2026, DeepSeek open-sourced the inference engine DeepInfer on GitHub; this engine is the inference engine behind DeepSeek-V4.1-Flash. Leiphone reported the same day that DeepInfer includes technologies such as MoE expert parallelism, asynchronous batch scheduling, custom kernels, and speculative decoding, and disclosed that a single cluster needs to process approximately 155 trillion tokens per day. Its Zero-Overhead Batch Scheduler lets the CPU schedule computation one round in advance, overlapping with GPU forward passes, and handles cross-round state misalignment through total_inflight_tokens accounting, Remap mapping, and DeferredRelease deferred reclamation. Currently, only offline inference capabilities are open; components such as online KV Cache storage and cross-replica load balancing have not yet been fully disclosed, and the official team has not separately published end-to-end speedup data for this scheduling mechanism relative to synchronous solutions.

Foreign media report DeepSeek completes second round of financing at 105.5 billion yuan

According to a report by The Information, DeepSeek has completed its second round of financing, raising 105.5 billion yuan (approximately $15.8 billion) and attracting nearly 30 investors. Phoenix Technology, citing the report, said Tencent and CATL each contributed 10 billion yuan, and that ChangXin Memory Technologies, SMIC, Meituan, vivo, Xiaohongshu and others were also among the investors; state-owned investors contributed about 27% of the amount in this round, far higher than the 2% in the first round, with China Mobile, China Telecom, CICC, CITIC Securities and China Life among those participating. The report also said that, affected by rising prices of Nvidia's high-end chips and precautions against an AI bubble, DeepSeek doubled the size of its fundraising midway through the round. East Money, citing The Information's report the same day, gave the same total fundraising amount and the same proportion of state capital, and said CATL and its chairman Zeng Yuqun contributed 5 billion yuan and 10 billion yuan in the two rounds respectively. There is currently no official response from DeepSeek.