• v0.1.48-beta 8efcc17f47

    Ghost released this 2026-07-07 16:20:31 +02:00 | 402 commits to main since this release

    Studio: account for DeepSeek-V4 compute buffer in context auto-fit (#6940)

    • Studio: account for DeepSeek-V4 compute buffer in context auto-fit

    DeepSeek-V4-Flash's lightning indexer plus compressed sparse attention reserve a
    large context-scaling compute buffer that _compute_buffer_ctx_bytes did not model
    (the KQ-mask and dequant-scratch rates both miss it, even with an f16 cache).
    Measured on UD-Q4_K_XL at ub 512 it is about 65.5 GiB at 1M context, which the
    mask estimate puts near 1.5 GiB, so the auto-fit kept the full 1M train context
    and llama-server OOM'd allocating the ~70 GB buffer, then spilled to CPU (~4
    tok/s). Add a deepseek4-gated flat plus per-token term so the fit caps the context
    (about 256k on a B200) and the model stays fully on GPU.

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