MiaAI-Lab / DeepSeek-v4.1-Flash-1017-2x-DGX-Sparks
DeepSeek-V4.1-Flash-1017 EXL3 on 2x DGX Sparks with TensorFold
MiaAI-Lab / DeepSeek-v4.1-Flash-1017-2x-DGX-Sparks
plotarmordev / drama-tensorfold
Fish Audio Drama 3 text-to-speech on the TensorFold native CUDA engine for DGX Spark (GB10): recipe, engine patches, benchmarks. Built with Fish Audio.
MiaAI-Lab / GLM-5.3-EXL3-3x-DGX-Sparks-TensorFold
GLM-5.3 EXL3 on DGX Sparks with TensorFold
drowzeys / Imagination-Studio-by-keys-Wasserman
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
ashhart / TensorFold
LLM Inference Engine for Metal and CUDA.
Elevatormusic / DeepSeek-V4.1-Flash-1017-EXL3-TensorFold-2x-DGX-Spark
DeepSeek-V4.1-Flash-1017 EXL3 2.9bpw on 2x NVIDIA DGX Spark (GB10) with TensorFold: 2.1-2.3x the vLLM kit's decode speed.
MiaAI-Lab / GLM-5.3-Flash-EXL3-2x-DGX-Sparks-TensorFold
GLM-5.3-Flash EXL3 on 2x DGX Spark with TensorFold
MiaAI-Lab / Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold
Qwen3.8 Flash Next on one DGX Spark (TensorFold)
tonyd2wild / DeepSeek-V4.1-Flash-TP2-and-TP4-DGX-Sparks
DeepSeek-V4.1-Flash-1017 on NVIDIA DGX Sparks with TensorFold + EXL3: TP4 (4 Sparks, 93.6 tok/s, 1M context) and TP2 (2 Sparks, 73 tok/s). Launchers, run records, measured numbers. Older vLLM lanes kept.
jayleaton / deepseek-v41-tensorfold-spark
DeepSeek-V4.1-Flash on 2x NVIDIA DGX Spark with the TensorFold engine: 1.8-1.9x code, 2.5x multi-stream, 1.7-1.95x prefill vs the vLLM kit, exact speculative decoding. Work in progress.
MiaAI-Lab / Qwen3.8-27B-DGX-Spark-TensorFold
Qwen3.8-27B on one DGX Spark (TensorFold)
bertholomus / deepseek-v4.1-tensorfold-tp2-2xgb10
BertholomusAI recipe: DeepSeek-V4.1-Flash on 2x NVIDIA DGX Spark (GB10), our own TensorFold TP2 engine. Weights: Mia-AiLab EXL3 2.9bpw (MIT).
jayleaton / glm53-tensorfold-spark
GLM-5.3-Flash (abliterated EXL3) on 2x NVIDIA DGX Spark with the TensorFold engine: 1.8x faster decode than vLLM, 4x256k concurrent threads, byte-exact speculative decoding. Work in progress.
MiaAI-Lab / Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold
Qwen3.8-Flash-Next on two DGX Sparks with TensorFold
drowzeys / keys-Mac-TensorFold-MiniMax-H3-MLX
MiniMax H3 (video + audio) on TensorFold 0.6.5 with an H3 family, Mac Studio M5 Ultra: 5 s 864x480 clip in ~50 s, 40 s at 768x448 — the fastest H3 we have measured on Apple Silicon; int8 tensor-unit kernels + Turbo adapter; one-shot + GHCR carrier
dolf3131 / dgx-spark-llm-serving
Serving large LLMs on a single DGX Spark (121 GiB): Qwen3.8-Flash-Next on TensorFold/SparkFold EXL3 and vLLM NVFP4, Nemotron 3.5 Super VL on vLLM; what ran, what it measured, what did not work
juliankang4 / spark-scope
Read-only dashboard and rack panel for NVIDIA DGX Spark-class nodes, other NVIDIA GPU Linux machines and Apple Silicon Macs running vLLM, SGLang, TensorFold, llama.cpp, bloomery, NVIDIA Flare, Strata or oMLX