AINewsnow

Tried running 748B DeepSeek-V4.1-Flash on a €2k PC

I bought a used PC with an RTX 3090 24 GB, 128 GB DDR4 and an Intel i9-9900X last year for under €2,000. With the release of DeepSeek-V4.1-Flash-1017 I decided to try running it on my machine. It is of course the smallest quant available (1-bit), but I was still happy to see it working at 7.2 tok/s…

Read the full story at r/LocalLLaMA ↗

Timeline · 13 reports

  1. 2026-10-24 08:05 · r/LocalLLM
    [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017
  2. 2026-10-24 08:05 · r/LocalLLaMA
    [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017
  3. 2026-10-23 23:38 · r/LocalLLM
    ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO
  4. 2026-10-23 23:37 · r/LocalLLaMA
    ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO
  5. 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
  6. 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)
  7. 2026-10-23 17:23 · AlphaSignal
    DeepSeek's V4.1 Flash 1017 Tops Public Cybersecurity Rankings at $0.42 per Task
  8. 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.
  9. 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
  10. 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.
  11. 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.
  12. 2026-10-22 08:25 · r/huggingface
    DeepSeek V4 Flash API prices compared across providers (Oct 2026)
  13. 2026-10-21 18:11 · r/LocalLLaMA
    Tried running 748B DeepSeek-V4.1-Flash on a €2k PC

More stories

  1. Qwen 3.8 Flash Next GSQ-RCO IQ_3S at 70tok/s decode/1900tok/s prefill on 2013 Xeon E5-1680v2, 128GB quad channel DDR3-1866 ECC, and an EVGA 3090 FTW3 — r/LocalLLM
  2. CoreWeave Leads MLPerf 0.7 Endpoints Benchmark with DeepSeek-R1 — CoreWeave Blog
  3. 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
  4. 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
  5. ‘Jensen’s nightmare’: Huawei, DeepSeek narrow AI chip ecosystem gap with Nvidia: report — South China Morning Post Tech
  6. Carbon-X: the best open DNA language model runs locally with llama.cpp — r/LocalLLaMA
  7. NVIDIA releases Nemotron 3.5 Bolt E4B - Runs locally on 6GB RAM. — r/LocalLLM
  8. DeepSeek, MiniMax secure open-source licences days after new China export rules: state media — South China Morning Post Tech

Get the daily brief of stories like this at 6:30 every morning →