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thecodacus
llama.cpp
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server : add /v1/decision for parallel constrained decisions
.github/workflows/build-cann.yml
#95:
Commit
a8d96e9
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thecodacus
-1s
decision-upstream
decision-upstream
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server : accept images on /decision, add harness example
.github/workflows/build-cann.yml
#94:
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graydini
-1s
graydini:multimodal-decision
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server : accept images on /decision, add harness example
.github/workflows/build-cann.yml
#93:
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#17
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graydini:multimodal-decision
graydini:multimodal-decision
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server : accept images on /decision, add harness example
.github/workflows/build-cann.yml
#92:
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#17
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graydini
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graydini:multimodal-decision
graydini:multimodal-decision
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docs: restructure README around a quick start for the fork
.github/workflows/build-cann.yml
#91:
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f201e55
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perf-multigpu-cache
perf-multigpu-cache
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feat(moe-trace): sample with the command-line sampling flags instead …
.github/workflows/build-cann.yml
#90:
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perf-multigpu-cache
perf-multigpu-cache
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fix: place each MoE expert-cache pack on the GPU that runs its layer
.github/workflows/build-cann.yml
#89:
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perf-multigpu-cache
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merge: origin/perf docs; document qwen4exp (Qwen3.8-Flash-Next) exper…
.github/workflows/build-cann.yml
#88:
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27c54b4
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perf
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perf(parallel-decision): score hybrid-model branches in one pass
.github/workflows/build-cann.yml
#87:
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ad129b0
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parallel-decision
parallel-decision
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parallel-decision: expose exact tree distributions
.github/workflows/build-cann.yml
#86:
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#13
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kilo666mj
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kilo666mj:feature/decision-probabilities
kilo666mj:feature/decision-probabilities
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parallel-decision : add README
.github/workflows/build-cann.yml
#85:
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14d04e7
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parallel-decision
parallel-decision
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server : add /v1/decision for parallel constrained decisions
.github/workflows/build-cann.yml
#84:
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b9244f8
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parallel-decision
parallel-decision
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perf: DMA ring refills in place when the cold experts are already pinned
.github/workflows/build-cann.yml
#83:
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41630e7
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fable5/expert-prediction
fable5/expert-prediction
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fix: size the pack context for the added map tensor
.github/workflows/build-cann.yml
#82:
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efc5cd1
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fable5/expert-prediction
fable5/expert-prediction
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fix: stage each async refill copy in its own region and order the col…
.github/workflows/build-cann.yml
#81:
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d4a7e9f
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fable5/expert-prediction
fable5/expert-prediction
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fix: read speculative ids through the backend
.github/workflows/build-cann.yml
#80:
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d479373
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fable5/expert-prediction
fable5/expert-prediction
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perf: issue ring refills on a dedicated copy stream
.github/workflows/build-cann.yml
#79:
Commit
c114cd1
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Failure
fable5/expert-prediction
fable5/expert-prediction
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fix: resolve the host buffer type through the buffer's buft
.github/workflows/build-cann.yml
#78:
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5d8a627
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fable5/expert-prediction
fable5/expert-prediction
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perf: cut the ring refill cost
.github/workflows/build-cann.yml
#77:
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7d3cd36
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fable5/expert-prediction
fable5/expert-prediction
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chore: profile the MoE ring refill path
.github/workflows/build-cann.yml
#76:
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8975693
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-1s
fable5/expert-prediction
fable5/expert-prediction
-1s
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fix: reach the ring prefetch userdata through the layer
.github/workflows/build-cann.yml
#75:
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dbd150c
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Failure
fable5/expert-prediction
fable5/expert-prediction
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feat: drive the MoE cache ring from the speculative router
.github/workflows/build-cann.yml
#74:
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1deb8c3
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fable5/expert-prediction
fable5/expert-prediction
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feat: add speculative pre-attention expert router
.github/workflows/build-cann.yml
#73:
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758e4a9
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fable5/expert-prediction
fable5/expert-prediction
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feat: optionally dump layer hidden states from moe-trace
.github/workflows/build-cann.yml
#72:
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4790011
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fable5/expert-prediction
fable5/expert-prediction
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merge: origin/perf docs; document qwen4exp (Qwen3.8-Flash-Next) exper…
.github/workflows/build-cann.yml
#71:
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27c54b4
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perf
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