DeepSeek

Gemma 4 just casually destroyed every model on our leaderboard except Opus 4.6 and GPT-5.2. 31B params, $0.20/run

Tested Gemma 4 (31B) on our benchmark. Genuinely did not expect this. 100% survival, 5 out of 5 runs profitable, +1,144% median ROI. At $0.20 per run. It outperforms GPT-5.2 ($4.43/run), Gemini 3 Pro ($2.95/run), Sonnet 4.6 ($7.90/run), and absolutely destroys every Chinese ope

Original ansehen ↗

You can now do FP8 reinforcement learning locally! (<5GB VRAM)

Hey r/LocalLlama! We're getting close to our last release of 2025! Thanks so much for all the support this year. The DeepSeek team back in Jan showcased how powerful FP8 RL can be with GRPO. Well, you can now try it on your local hardware using only 5GB VRAM! RTX 50x, 40x series

Original ansehen ↗

16x AMD MI50 32GB at 10 t/s (tg) & 2k t/s (pp) with Deepseek v3.2 (vllm-gfx906)

Deepseek 3.2 AWQ 4bit @ 10 tok/s (output) // 2000 tok/s (input of 23k tok) on vllm-gfx906-deepseek with 69000 context length **Power draw**: 550W (idle) / 2400W (peak inference) **Goal**: run Deepseek V3.2 AWQ 4-bit on most cost effective hardware like 16*MI50 at decent speed

Original ansehen ↗

Able to utilise DeepSeek to review transcripts and perform thematic analysis?

Hi All, Is it possible to use DeepSeek to review interview transcripts and prompt it to conduct a thematic analysis for a qualitative psychology research project? I have already begun completing the thematic analysis myself, but want to use DeepSeek to see if similar themes a

Original ansehen ↗

Shanghai AI Lab Just Released a Massive 97-Page Safety Evaluation of Frontier AI Models - Here Are the Most Concerning Findings

Shanghai AI Laboratory just dropped what might be the most comprehensive AI safety evaluation we've seen yet. They tested 18+ frontier models (GPT-4o, Claude-4, Gemini-2.5, DeepSeek-R1, Llama-3, etc.) across seven major risk categories. Here are the key takeaways: **🚨 The Most

Original ansehen ↗