
DeepSeek-V4.1-Flash: 5 Real Benchmarks & GGUF Specs (2026)
Real DeepSeek-V4.1-Flash benchmarks: tokens/sec speed, 1M context KV cache limits, 552B MoE architecture, and VRAM requirements on RTX 4090 and A100.
11 articles

Real DeepSeek-V4.1-Flash benchmarks: tokens/sec speed, 1M context KV cache limits, 552B MoE architecture, and VRAM requirements on RTX 4090 and A100.

AMD Strix Halo benchmarks for local LLMs. We tested 128GB unified memory running 70B and Qwen models with tokens/sec throughput and thermal numbers.

Can you run DeepSeek-V3 671B locally? We calculate exact RAM, NVMe swap, and multi-GPU VRAM requirements for FP8, Q4, and CPU offloading.

Why does Ollama cut off chat history after 2048 tokens? How to override num_ctx in your Modelfile and API parameters without crashing your GPU.

Why does tensor parallelism fail across dual consumer GPUs like dual RTX 3090s? Fix PCIe P2P blocks, NCCL timeouts, and pipeline parallelism in vLLM.

Why does a 32k context window crash your local LLM with out-of-memory errors? How KV cache scaling works and how to enable FP8 cache quantization.

DeepSeek-R1 FP8 vs Q4_K_M quantization tested on local hardware. Real VRAM usage benchmarks, token speeds on RTX 4090 and 3090, and quality loss analysis.

DeepSeek-R1 Distill vs Gemini Flash benchmarks: Firsthand tokens/sec, VRAM footprint, MATH500 reasoning accuracy, and API costs on 8GB–16GB consumer GPUs.

Why is Ollama generating tokens so slowly? Fix CPU fallback caused by large num_ctx values, tune layer offloading, and optimize VRAM in 5 steps.

How our team set up Open WebUI and Ollama with nomic-embed-text to index internal IT runbooks, network topologies, and incident notes 100% offline.

Can you run DeepSeek-R1 on 8GB VRAM? Benchmarked 8B and 14B Q4_K_M models on RTX 4060 and RX 7600 with exact token speeds, VRAM footprints, and Ollama flags.