#2080-ti — Blog — ai-muninn

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20 matches

datereadtitle
2026-10-0613m
Qwen3.8-Flash-Next 177B on One RTX 2080 Ti: Strata Runs Code at 70 tok/s
#strata #moe #2080-ti #qwen3.8
2026-09-2817m
NVFP4 Without FP4 Hardware: Qwen3.8-27B on Two RTX 2080 Tis at 151.7 tok/s
#fastllm #nvfp4 #quantization #2080-ti
2026-09-2821m
Dual RTX 2080 Ti FastLLM: 16% Faster Decoding and No More Head-of-Line Blocking
#fastllm #dflash2 #speculative-decoding #2080-ti
2026-09-2124m
Two Modded RTX 2080 Tis Hit 153.8 tok/s on Qwen3.8-27B With FastLLM + DFlash2
#fastllm #dflash2 #speculative-decoding #2080-ti
2026-09-2124m
Ternary Bonsai 2 on One RTX 2080 Ti: Qwen3.8-27B in 7.2 GB Scores 130 of 140
#ternary-bonsai #qwen3.8 #2080-ti #llama.cpp
2026-09-1426m
[Benchmark] Two-stage MiniMax-H3 + LTX-2.5 on a 2080 Ti: 1344x768 with audio in 165s
#2080-ti #turing #minimax-h3 #ltx-2.5
2026-08-2826m
[Benchmark] A 177B MoE on Three Modded 2080 Tis: 23 tok/s at 128K, 77 on a File Edit
#llama.cpp #2080-ti #moe #speculative-decoding
2026-08-2320m
[Benchmark] Fixing NCCL's Stub-Library Error Cut PCIe Traffic 99% and Barely Moved Speed
#nccl #llama.cpp #tensor-parallel #2080-ti
2026-08-2323m
[Benchmark] Dual-GPU AllReduce Only Uses 8% of PCIe Gen3 x16 — It Moves Little, Very Often
#llama.cpp #tensor-parallel #pcie #nvlink
2026-08-2215m
[Benchmark] Two Modded 2080 Tis Reach 59.6 tok/s on Qwen3.8-27B With llama.cpp Tensor Parallel
#llama.cpp #tensor-parallel #2080-ti #qwen3.8
2026-08-218m
[Benchmark] Free 15% Speedup on a 2080 Ti: One Broken Chat Template, One Starving MTP Head
#llama.cpp #chat-template #kv-cache #mtp
2026-08-2011m
[Just for Fun — Advanced] Why Isn't Your 4-Bit Quant Faster on a 2080 Ti? I Tore Open the CUDA Backend to Find Out
#2080-ti #turing #quantization #gguf
2026-08-187m
[Junk-Tier Big Models #5] Qwen3.8-27B on a 2018 22GB card: 30 tok/s, and it one-shot a 3D scene
#qwen3.8 #unsloth #2080-ti #llama.cpp
2026-08-0614m
[Just for Fun — Advanced] Wait, a 2080 Ti Can Run MiniMax-H3? 1080p With Audio on a 2018 Card
#2080-ti #turing #minimax-h3 #comfyui
2026-08-0220m
[Junk-Tier Big Models #4] A frontier-class open model on hardware you already own: DeepSeek-V4-Flash-0731 on one 22GB 2080 Ti
#deepseek-v4-flash #0731 #moe #2080-ti
2026-07-2918m
[Junk-Tier Big Models #3] A 284B MoE on ONE 2080 Ti — and it beats my DGX Spark
#deepseek-v4-flash #moe #2080-ti #llama.cpp
2026-07-2212m
[LLM Deep Dive] The Best Free Open-Source Model for a Single 24GB GPU? My Pick Is ThinkingCap-Qwen3.6-27B
#qwen3.6 #thinkingcap #abliterated #local-llm
2026-07-2210m
[Junk-Tier Big Models #2] Running Poolside Laguna S 2.1, a 118B Coding MoE, on ONE 22GB 2080 Ti
#laguna #poolside #moe #2080-ti
2026-07-2112m
[Junk-Tier Big Models #1] Running a 119B MoE at 74 tok/s on Three 2080 Tis
#llama.cpp #moe #expert-offload #2080-ti
2026-07-1811m
[Just for Fun — Advanced] Two Identical 2080 Tis, One 3.4× Slower — the Culprit Was a Single dtype Log Line
#2080-ti #turing #comfyui #z-image

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