github mw00/project-maya v1.1.22
Project Maya v1.1.22

latest release: v1.1.23
8 hours ago

DeepSeek-V4.1-Flash gets Maya-XS - the whole model in a 128 GB PC's memory - tensor parallel on several GPUs, and much
faster drafting on one GPU.

  • Maya-XS (experimental): DeepSeek-V4.1-Flash in 120.6 GB of memory, its own 2-bit DSpark drafter included - every
    one of its 384 experts a layer kept, in ~1.6 bits (IQ1_S), rounded with error feedback layer by layer on the
    quantized model itself, from three times Maya-S's calibration text (code, three.js and front-end, tool calls and
    agent traces, long reasoning). The Engram tables (161 GB, Q6_K) stay on the SSD as with Maya-S. On a 128 GB Ryzen AI
    Max every expert sits in GPU memory. ./setup.sh --setup --model DeepSeek-V4.1-Flash-1017 --ds4-quant maya-xs.
    The engine now runs IQ1_S and IQ1_M experts on NVIDIA, on AMD and in the CPU lane.
  • DeepSeek tensor parallel on several GPUs (#344, @needmorevram): prompts ~1.9x and answers ~1.55x faster at
    --tp 8 than v1.1.21 on 9 GPUs, the same perplexity; ./maya.sh --calibrate tunes --tp. On one GPU, drafting
    decodes ~1.85x faster (Maya-S with DSpark on a Ryzen AI Max, the same drafts kept: each verify round about half
    the time).
  • AMD: a 2-GPU DeepSeek hang on the first long prompt with hipBLASLt fixed (#367, @Gazelle221B; #366); the packed
    sparse attention's LDS swizzle, opt-in DS4_HIP_ATTN_SWIZZLE=1 (#348, @LostVector); --bench takes the DeepSeek
    engine on HIP (#350, @GravLabs).
  • DeepSeek on Windows (@OscarSheng): a 1 ms timer while the engine runs (#358; MAYA_DS4_TIMER_MS=0 leaves it),
    64 Engram readers (#361) and unbuffered Engram reads (#362; DS4_EG_DIRECT=0 = before) - faster prompts.
  • DeepSeek prompt report: which experts a prompt found resident and the bytes it streamed, DS4_PREFILL_STATS=1
    (#364, @LostVector).
  • GLM: a prompt's lending keeps the more recently used experts in RAM - 40% fewer disk reads after a fresh prompt
    (#352, @merbanan).
  • Fixes: maya-ds4 builds with CUDA 12.0 / 12.1 (#336); the HIP build's test programs link (#355); VERSION holds
    the version again (v1.1.21's was empty).

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