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feat(batch19): Medusa heads, TIES+DARE model merging, Mixture of Depths
CI #171
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2026-06-27 13:09:53 +00:00
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feat(batch19): Medusa heads, TIES+DARE model merging, Mixture of Depths
Performance Benchmarks #170
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2026-06-27 13:10:17 +00:00
2m11s
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feat(batch18): contrastive losses, feature distillation, advanced data samplers
Documentation #169
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2026-06-27 12:37:14 +00:00
1m21s
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feat(batch18): contrastive losses, feature distillation, advanced data samplers
CI #168
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2026-06-27 12:37:19 +00:00
1m36s
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feat(batch18): contrastive losses, feature distillation, advanced data samplers
Performance Benchmarks #167
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2026-06-27 12:43:34 +00:00
7m56s
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feat(batch17): RoPE scaling extensions, DPO loss, label smoothing + focal loss
Documentation #166
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2026-06-27 07:47:23 +00:00
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feat(batch17): RoPE scaling extensions, DPO loss, label smoothing + focal loss
CI #165
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2026-06-27 07:47:25 +00:00
1m6s
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feat(batch17): RoPE scaling extensions, DPO loss, label smoothing + focal loss
Performance Benchmarks #164
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2026-06-27 07:54:07 +00:00
7m52s
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feat(batch16): SOAP optimizer, lookahead decoding, SWA+SWAG
GPU Tests #163
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2026-06-27 15:13:18 +00:00
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feat(batch16): SOAP optimizer, lookahead decoding, SWA+SWAG
Documentation #162
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2026-06-27 06:44:51 +00:00
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feat(batch16): SOAP optimizer, lookahead decoding, SWA+SWAG
CI #161
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2026-06-27 06:55:11 +00:00
11m41s
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feat(batch16): SOAP optimizer, lookahead decoding, SWA+SWAG
Performance Benchmarks #160
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2026-06-27 06:45:21 +00:00
1m54s
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fix(rtx-vision-advanced): cap fixed at 1.30.0 for the nightly-2025-10-25 toolchain
Documentation #159
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2026-06-27 06:31:06 +00:00
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fix(rtx-vision-advanced): cap fixed at 1.30.0 for the nightly-2025-10-25 toolchain
CI #158
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2026-06-27 06:55:11 +00:00
26m6s
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fix(rtx-vision-advanced): cap fixed at 1.30.0 for the nightly-2025-10-25 toolchain
Performance Benchmarks #157
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2026-06-27 06:31:25 +00:00
2m22s
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feat(batch15): Shampoo optimizer, beam search decoder, sliding window attention
GPU Tests #156
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2026-06-27 15:13:18 +00:00
8h45m40s
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feat(batch15): Shampoo optimizer, beam search decoder, sliding window attention
Documentation #155
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2026-06-27 06:27:40 +00:00
42s
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feat(batch15): Shampoo optimizer, beam search decoder, sliding window attention
CI #154
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2026-06-27 06:54:16 +00:00
27m32s
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feat(batch15): Shampoo optimizer, beam search decoder, sliding window attention
Performance Benchmarks #153
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2026-06-27 06:28:33 +00:00
1m55s
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feat(batch14): Muon optimizer, logit processors, per-token activation quantization
GPU Tests #152
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2026-06-27 15:13:17 +00:00
9h1m13s
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feat(batch14): Muon optimizer, logit processors, per-token activation quantization
Documentation #151
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2026-06-27 06:12:05 +00:00
20s
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feat(batch14): Muon optimizer, logit processors, per-token activation quantization
CI #150
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2026-06-27 06:54:14 +00:00
42m39s
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feat(batch14): Muon optimizer, logit processors, per-token activation quantization
Performance Benchmarks #149
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2026-06-27 06:19:26 +00:00
7m59s
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Merge branch 'feat/f64-nn-layers'
Documentation #148
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2026-06-27 06:09:09 +00:00
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Merge branch 'feat/f64-nn-layers'
CI #147
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2026-06-27 06:53:19 +00:00
45m10s
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Merge branch 'feat/f64-nn-layers'
Performance Benchmarks #146
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2026-06-27 06:10:02 +00:00
2m0s
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feat(batch13): EMA model weights, cross-layer weight sharing, schedule-free optimizer
Documentation #145
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2026-06-27 06:06:39 +00:00
19s
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feat(batch13): EMA model weights, cross-layer weight sharing, schedule-free optimizer
CI #144
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2026-06-27 06:53:18 +00:00
47m8s
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feat(batch13): EMA model weights, cross-layer weight sharing, schedule-free optimizer
Performance Benchmarks #143
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2026-06-27 06:07:37 +00:00
1m33s
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feat(batch12): online quant calibration, draft distillation loss, gradient noise scale
Documentation #142
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2026-06-27 05:38:45 +00:00
48s
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