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Denis Ineshin
developerSenior Full Stack Engineer @ Booking.com
Public projects
mlx-taef
Tiny AutoEncoders (TAESD family) for diffusion latents on Apple Silicon — pure MLX. Live previews + low-memory decode for FLUX.1, FLUX.2 Klein, SD1.x, SDXL.
Pythonapple-silicondiffusionflux
mlx-teacache
TeaCache step-skipping for FLUX, Qwen-Image & Z-Image diffusion on Apple Silicon, in pure MLX
Pythonapple-silicondiffusionflux
mlx-train-perf
Fused, logit-free linear-cross-entropy loss, RAM-fit planner, and benchmark harness for MLX fine-tuning on Apple Silicon
Pythonapple-siliconbenchmarkcross-entropy
mlx-model-doctor
Validate an MLX / Hugging Face model repository before you load it.
Pythonapple-siliconclidiagnostics
mlx-quant-fidelity
Measure quantization quality loss on Apple Silicon MLX — KL divergence, top-token flip rate and perplexity delta for KV-cache and weight quantization
Pythonapple-silicondiagnosticskl-divergence
mlx-dfloat
Run DFloat11 losslessly compressed BF16 checkpoints on Apple Silicon with MLX and a Metal decode kernel; today that runs FLUX.1 on a 32 GB Mac with weights about 30% smaller
Pythonapple-siliconbfloat16dfloat11
Likely stack
ClaudeOpenAIDiffusion
