07df0654 671b 44e8 B1ba 22bc9d317a54 2025 Toyota. Blue toyota gr86 premium car on Craiyon Download the model files (.gguf) from HuggingFace (better with a downloader, I use XDM), then merge the seperated files into one 1 However, its massive size—671 billion parameters—presents a significant challenge for local deployment
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8-10張3090 48g 150k hkd up 預測output 30t/s以上 5 Distributed GPU Setup Required for Larger Models: DeepSeek-R1-Zero and DeepSeek-R1 require significant VRAM, making distributed GPU setups (e.g., NVIDIA A100 or H100 in multi-GPU configurations) mandatory for efficient operation
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xeon 6 + 12x mrdimm 8800, 845gb/s 200-300k hkd? 預測output 15t/s 4 To run a specific DeepSeek-R1 model, use the following commands: For the 1.5B model: ollama run deepseek-r1:1.5b; For the 7B model: ollama run deepseek-r1:7b; For the 14B model: ollama run deepseek-r1:14b; For the 32B model: ollama. epyc genoa (9654), 12*48g rdimm, 461gb/s $40k hkd q4_k_m, eval 20t/s, output 7.5t/s, ctx增加後未知 2
2025/2026 Toyota 'Mini' Land Cruiser Takes Many Forms Across Imagination Land autoevolution. 8-10張3090 48g 150k hkd up 預測output 30t/s以上 5 tl;dr; Has anyone here with a fast read IOPS disk array with good sized RAM disk cache tried serving the real DeepSeek R1 671B (quantized) model? I'd love to know how fast you can inference and compare price/performance over expensive unobtainable VRAM given the MoE (mixture of experts) model architecture
2025 Toyota Crown 48 Exterior Photos U.S. News. mac studio m2 192gb*3, 800gb/s $150k hkd 預測output最多14t/s 3 To run a specific DeepSeek-R1 model, use the following commands: For the 1.5B model: ollama run deepseek-r1:1.5b; For the 7B model: ollama run deepseek-r1:7b; For the 14B model: ollama run deepseek-r1:14b; For the 32B model: ollama.