whn09 50483a06df Neuron: context-length buckets for dense compressed-KV scopes and indexer logits (#29) ... DEEPINFER_NEURON_CTX_BUCKETS: the model runner sets the step's context limit to the smallest bucket that holds every sequence, and the dense kv_ca_index / indexer logits are sized to it instead of max_model_len (one more set of attention graphs a bucket). Prefill cost scaled with the limit: a 128-token chunk ~9 s at 16384 against ~5.3 s at 4352. Host tiny check: same tokens as without buckets up to near ties. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>		2026-10-23 20:08:17 +08:00
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mtp	initial commit	2026-10-20 12:09:42 +08:00
v4_modules	Neuron: context-length buckets for dense compressed-KV scopes and indexer logits (#29)	2026-10-23 20:08:17 +08:00
vision_encoder	initial commit	2026-10-20 12:09:42 +08:00
__init__.py	initial commit	2026-10-20 12:09:42 +08:00
decoder_layer.py	Neuron: count MoE capacity overflows under DEEPINFER_NEURON_REGION_TIMING	2026-10-23 16:23:28 +08:00
deepseek_vl.py	Neuron: full DeepSeek-V4.1-Flash load + decode region graphs at EP=64 (issues #21, #25)	2026-10-23 01:39:22 +08:00
deepseek.py	Neuron: full DeepSeek-V4.1-Flash load + decode region graphs at EP=64 (issues #21, #25)	2026-10-23 01:39:22 +08:00