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neuron-tai/.scratch/distributed-gguf-runtime/evidence/DGR-016/outreach.md
2026-07-16 17:24:56 +03:00

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# DGR-016 outreach draft
Subject: Narrow llama.cpp hooks for range loading, boundary I/O, and local KV ownership
Hi Georgi and llama.cpp maintainers,
We have been building a distributed GGUF route on top of a Meshnet control
plane, and the narrow upstreamable seam is now clear enough to summarize.
We are not asking llama.cpp to own Meshnet routing, billing, relay transport,
or any volunteer-network policy. The upstream ask is limited to generic local
hooks that make partitioned inference easier to implement and easier to review:
1. Range-aware loading and ownership introspection for contiguous layer ranges.
2. Architecture-defined boundary input/output using an explicit named-tensor
bundle.
3. Layer-filtered KV ownership and stable local sequence mapping.
Why we think this is generally useful:
- Nakshatra already demonstrates the value of a narrow layer-worker seam and
partial GGUF loading.
- prima.cpp shows the same idea from a different angle with selective loading,
local KV, and boundary residual transport.
- Both projects suggest the same conclusion: the missing API is not Meshnet
specific, it is a local runtime seam that any layer-partitioned supervisor can
use.
The package we would upstream is intentionally split into one concern per patch
so review stays small:
- range-aware loading and tensor ownership;
- boundary I/O for intermediate residual state;
- layer-filtered KV and sequence ownership.
If useful, we can send the concrete MRE/test mapping next. We already have
deterministic examples covering the loader, boundary contract, and KV/session
semantics in the Meshnet tree, and we can trim them into upstream-focused test
cases.
Thanks,
Meshnet maintainers