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xserv/crates/xserv-model
Gahow Wang f17011129e model: tensor-parallel Qwen3 (sharded weights + AllReduce)
from_weights_tp shards each rank's weights (column-split q/k/v/gate/up,
row-split o/down; replicate norms/embed/lm_head) and the paged forward uses
local head counts + AllReduces after o_proj and down_proj. PagedKVCache::new_tp
sizes the pool for the rank's local KV heads (KV is sharded too). TP=1 is the
identity path. New bench-tp binary runs E2E multi-GPU generation per TP degree.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-29 11:10:24 +08:00
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