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Full DeepSeek-V4.1-Flash-1017 (510 GB) on an RTX 3060 12 GB + 64 GB DDR4 + NVMe: 5.8 tok/s cold, 7.4 warm, >97% exact quality.

Coverage of "Full DeepSeek-V4.1-Flash-1017 (510 GB) on an RTX 3060 12 GB + 64 GB DDR4 + NVMe: 5.8 tok/s cold, 7.4 warm, >97% exact quality." from 13 sources, with a live timeline of who reported what and when.

Read the full story at r/LocalLLM ↗

Timeline · 13 reports

  1. 2026-10-25 03:48 · r/LocalLLaMA
    Too good to be true? ISTA's GSQ-RCO 2-bit DeepSeek-V4.1-Flash scoring the same as the base model
  2. 2026-10-24 16:29 · r/LocalLLaMA
    10 tok/s Deepseek V4.1 Flash 8K with Strata on a 5090 with 64GB DDR5 Ram
  3. 2026-10-24 08:05 · r/LocalLLM
    [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017
  4. 2026-10-24 08:05 · r/LocalLLaMA
    [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017
  5. 2026-10-23 23:38 · r/LocalLLM
    ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO
  6. 2026-10-23 23:37 · r/LocalLLaMA
    ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO
  7. 2026-10-23 20:06 · r/huggingface
    5.5× llama.cpp’s prefill throughput on DeepSeek V4.1 Flash 1017 GGUF: TensorSharp benchmarks and quality checks
  8. 2026-10-23 18:32 · r/LocalLLM
    Full DeepSeek-V4.1-Flash-1017 (510 GB, original weights) on a 64 GB RAM + RTX 3060 12 GB PC: up to 7.4 tok/s, 98.3% agreement with the full model. Engine released (Apache-2.0)
  9. 2026-10-23 17:23 · AlphaSignal
    DeepSeek's V4.1 Flash 1017 Tops Public Cybersecurity Rankings at $0.42 per Task
  10. 2026-10-23 11:49 · r/LocalLLaMA
    Maya-XS runs DeepSeek-V4.1-Flash in 120.6 GB, with all 384 experts resident in GPU memory on a 128 GB Ryzen AI Max.
  11. 2026-10-22 20:58 · r/LocalLLM
    GitHub - vincalkr/DS41Engine: DeepSeek-V4.1-Flash 1017 on 1x-2x RX 7900 XTX (gfx1100, ROCm/HIP): max optimizations
  12. 2026-10-22 13:30 · r/huggingface
    Full DeepSeek-V4.1-Flash-1017 (510 GB) on an RTX 3060 12 GB + 64 GB DDR4 + NVMe: 5.8 tok/s cold, 7.4 warm, >97% exact quality.
  13. 2026-10-22 13:29 · r/LocalLLM
    Full DeepSeek-V4.1-Flash-1017 (510 GB) on an RTX 3060 12 GB + 64 GB DDR4 + NVMe: 5.8 tok/s cold, 7.4 warm, >97% exact quality.

More stories

  1. Qwen 3.8 Flash Next (Q4) got stuck on this loop for hours. I wonder if this is the AI equivalent of having a nightmare and not being able to wake up — r/LocalLLM
  2. Massive B70 spec-decoding improvement - Intel XMX matrix engines refactored by budiony · Pull Request #29864 · ggml-org/llama.cpp — r/LocalLLaMA
  3. What's the best front-end for LLM assisted studying? — r/LocalLLM
  4. CoreWeave Leads MLPerf 0.7 Endpoints Benchmark with DeepSeek-R1 — CoreWeave Blog
  5. High-Performance llama.cpp fork for Legacy GPUs: Kepler Support, CUDA Graphs & Windows NCCL! — r/LocalLLaMA
  6. NVIDIA's Dory 1.0 4B (looped reasoning model) on Apple Silicon with MLX: 101 tok/s at 1 loop, 69 at 2, on an M5 Max (4.2 GB 8-bit build) — r/LocalLLM
  7. Benchmark: Recursive's Flint 40B A2.5B Q4 achieves 128 tok/s on MacBook Pro M4 Pro 48GB using Kapitsa, an open-source Apple Silicon optimized engine, Claude/Codex/Pi/OpenCode compatible. — r/LocalLLaMA
  8. ‘Jensen’s nightmare’: Huawei, DeepSeek narrow AI chip ecosystem gap with Nvidia: report — South China Morning Post Tech

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