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Runtime update: released native 1.0.5, memory flags (VAE tile 256, lazy KV handoff), verified-digest cache, background VAE load, chunked INT8 head quantization, compile paths only with --warm-compile; measurements refreshed

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  1. .gitattributes +1 -0
  2. README.md +12 -10
  3. SHA256SUMS +92 -70
  4. evaluation/profiles/baseline.json +0 -158
  5. evaluation/profiles/exact/run-00/config.json +3 -3
  6. evaluation/profiles/exact/run-00/metrics.json +94 -53
  7. evaluation/profiles/exact/run-00/plan.json +6 -6
  8. evaluation/profiles/exact/run-00/plan_manifest.json +1 -1
  9. evaluation/profiles/exact/run-00/result.json +85 -45
  10. evaluation/profiles/exact/run-01/config.json +3 -3
  11. evaluation/profiles/exact/run-01/metrics.json +94 -53
  12. evaluation/profiles/exact/run-01/plan.json +6 -6
  13. evaluation/profiles/exact/run-01/plan_manifest.json +1 -1
  14. evaluation/profiles/exact/run-01/result.json +85 -45
  15. evaluation/profiles/exact/summary.json +188 -106
  16. evaluation/profiles/fast-cfg1.5/run-00/config.json +3 -3
  17. evaluation/profiles/fast-cfg1.5/run-00/metrics.json +94 -54
  18. evaluation/profiles/fast-cfg1.5/run-00/plan.json +6 -6
  19. evaluation/profiles/fast-cfg1.5/run-00/plan_manifest.json +1 -1
  20. evaluation/profiles/fast-cfg1.5/run-00/result.json +83 -44
  21. evaluation/profiles/fast-cfg1.5/run-01/config.json +3 -3
  22. evaluation/profiles/fast-cfg1.5/run-01/metrics.json +94 -54
  23. evaluation/profiles/fast-cfg1.5/run-01/plan.json +6 -6
  24. evaluation/profiles/fast-cfg1.5/run-01/plan_manifest.json +1 -1
  25. evaluation/profiles/fast-cfg1.5/run-01/result.json +83 -44
  26. evaluation/profiles/fast-cfg1.5/summary.json +188 -108
  27. evaluation/profiles/fast/run-00/config.json +3 -3
  28. evaluation/profiles/fast/run-00/metrics.json +94 -54
  29. evaluation/profiles/fast/run-00/plan.json +6 -6
  30. evaluation/profiles/fast/run-00/plan_manifest.json +1 -1
  31. evaluation/profiles/fast/run-00/result.json +83 -44
  32. evaluation/profiles/fast/run-01/config.json +3 -3
  33. evaluation/profiles/fast/run-01/metrics.json +94 -54
  34. evaluation/profiles/fast/run-01/plan.json +6 -6
  35. evaluation/profiles/fast/run-01/plan_manifest.json +1 -1
  36. evaluation/profiles/fast/run-01/result.json +83 -44
  37. evaluation/profiles/fast/summary.json +188 -108
  38. evaluation/profiles/lowmem/run-00/config.json +3 -3
  39. evaluation/profiles/lowmem/run-00/metrics.json +95 -55
  40. evaluation/profiles/lowmem/run-00/plan.json +6 -6
  41. evaluation/profiles/lowmem/run-00/plan_manifest.json +1 -1
  42. evaluation/profiles/lowmem/run-00/result.json +84 -45
  43. evaluation/profiles/lowmem/run-01/config.json +3 -3
  44. evaluation/profiles/lowmem/run-01/metrics.json +95 -55
  45. evaluation/profiles/lowmem/run-01/plan.json +6 -6
  46. evaluation/profiles/lowmem/run-01/plan_manifest.json +1 -1
  47. evaluation/profiles/lowmem/run-01/result.json +84 -45
  48. evaluation/profiles/lowmem/summary.json +190 -110
  49. evaluation/profiles/off/run-00/config.json +88 -0
  50. evaluation/profiles/off/run-00/metrics.json +165 -0
.gitattributes CHANGED
@@ -97,3 +97,4 @@ evaluation/profiles/lowmem/run-00/audio.flac filter=lfs diff=lfs merge=lfs -text
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  evaluation/profiles/lowmem/run-01/audio.flac filter=lfs diff=lfs merge=lfs -text
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  evaluation/profiles/turbo/run-00/audio.flac filter=lfs diff=lfs merge=lfs -text
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  evaluation/profiles/turbo/run-01/audio.flac filter=lfs diff=lfs merge=lfs -text
 
 
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  evaluation/profiles/lowmem/run-01/audio.flac filter=lfs diff=lfs merge=lfs -text
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  evaluation/profiles/turbo/run-00/audio.flac filter=lfs diff=lfs merge=lfs -text
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  evaluation/profiles/turbo/run-01/audio.flac filter=lfs diff=lfs merge=lfs -text
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+ src/wheels/orbitquant-0.9.8-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -24,6 +24,8 @@ pip install torch==2.10.0 --index-url https://download.pytorch.org/whl/cu128
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  python src/run.py --profile fast --fuse-rms-quant --kv-cache-dtype int8 --mode fast --output out
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  ```
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  | `--mode` | Changes | Logits |
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  |---|---|---|
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  | `off` | reference decode path | reference |
@@ -32,21 +34,21 @@ python src/run.py --profile fast --fuse-rms-quant --kv-cache-dtype int8 --mode f
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  | `lowmem` | + INT8 token embeddings | as `fast` |
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  | `turbo` | `lowmem` with W4A4 output heads | KL 0.016 / 0.0009 |
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- Requirements: Linux x86_64, Python 3.12, PyTorch 2.10.0 + CUDA 12.8; OrbitQuant 0.9.7 / native 1.0.4 wheels are bundled in `src/wheels`. Kernels: SM89 (validated on RTX 4090) and SM120 (built, not run). The first request compiles the VAE decoder (~25 s, cached afterwards).
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  ## Measurements
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- RTX 4090, identical input and seed, warm second request in a fresh process.
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- | Profile | Audio | Wall | audio s / wall s | NVML peak | torch peak |
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- |---|---:|---:|---:|---:|---:|
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- | `off` | 168.9 s | 28.27 s | 5.97 | 5.38 GiB | 4.63 GiB |
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- | `exact` | 168.9 s | 17.68 s | 9.55 | 5.60 GiB | 4.31 GiB |
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- | `fast` | 140.7 s | 14.55 s | 9.67 | 4.93 GiB | 3.66 GiB |
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- | `lowmem` | 152.2 s | 15.85 s | 9.60 | 4.60 GiB | 3.25 GiB |
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- | `turbo` | 178.2 s | 17.29 s | 10.31 | 4.49 GiB | 3.20 GiB |
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- `exact` matches `off` output (mean band delta 0.001 dB). INT8/W4A4 heads change sampling at the same seed, so compare those profiles by audio seconds per wall second. Raw data: `evaluation/profiles/`.
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  ## Files
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  python src/run.py --profile fast --fuse-rms-quant --kv-cache-dtype int8 --mode fast --output out
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  ```
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+ One request per process is the default. A long-lived process serving many requests adds `--warm-compile` (compiled VAE decoder: 0.2 s instead of 0.7 s per request after a one-time 2 s cache load).
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+
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  | `--mode` | Changes | Logits |
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  |---|---|---|
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  | `off` | reference decode path | reference |
 
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  | `lowmem` | + INT8 token embeddings | as `fast` |
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  | `turbo` | `lowmem` with W4A4 output heads | KL 0.016 / 0.0009 |
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+ Requirements: Linux x86_64, Python 3.12, PyTorch 2.10.0 + CUDA 12.8; the OrbitQuant 0.9.8 wheel is bundled in `src/wheels`, native kernels 1.0.5 under `src/runtime/kernels`. Kernels: SM89 (validated on RTX 4090) and SM120 (built, not run). The first request compiles the VAE decoder (~25 s, cached afterwards).
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  ## Measurements
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+ RTX 4090 (48-core host), identical input and seed. "Warm" is the second request of a long-lived process with `--warm-compile`; "process" is one `src/run.py` call from interpreter start to the written files (imports and model load included). Peaks are for the whole process.
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+ | Mode | Audio | Warm request | audio s / wall s | Whole process | NVML peak | torch peak |
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+ |---|---:|---:|---:|---:|---:|---:|
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+ | `off` | 168.9 s | 17.94 s | 9.42 | — | 5.39 GiB | 4.31 GiB |
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+ | `exact` | 168.9 s | 15.85 s | 10.66 | 21.6 s | 5.33 GiB | 4.05 GiB |
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+ | `fast` | 140.7 s | 12.26 s | 11.47 | 18.0 s | 4.64 GiB | 3.37 GiB |
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+ | `lowmem` | 152.2 s | 13.49 s | 11.28 | 19.3 s | 4.47 GiB | 3.37 GiB |
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+ | `turbo` | 178.2 s | 15.57 s | 11.44 | 21.7 s | 4.71 GiB | 3.56 GiB |
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+ `exact` keeps the `off` tokens and logits bit for bit; its waveform differs from `off` only at FP16 rounding in the VAE. INT8/W4A4 heads change sampling at the same seed, so compare those modes by audio seconds per wall second. Of a whole process, about 4 s are Python and library imports plus model load; the rest is generation. Wall time also depends on the host CPU: on a slow 4-core host the same `exact` request took 17.7 s and `off` 28.3 s. Raw data: `evaluation/profiles/`.
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  ## Files
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SHA256SUMS CHANGED
@@ -1,5 +1,5 @@
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  060985741d20e70613b4c189c7de106cabd3fb2109fbbfb6d705c9d619417dd0 LICENSE
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- 635f2ad37129f4c8f02b1d0485dbb7720f0411a8b9c021cf9db38d178e52f9e7 README.md
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  14d3fd9f6fee86b4260b69b0979735b99ffec8c6b4db254567047a4215cd9af3 THIRD_PARTY_NOTICES.md
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  e479ab4f807b93d4c945ae9a14c5269dafb34751ee059d29f9883a5e812f2e56 config.json
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  5e375ad03c84d8118f3b37e56a3d01cf137b5aa1526b5725d91b17857839616d evaluation/ar-fused-fixed.json
@@ -234,15 +234,15 @@ da90c2dc55ecca5ffd2f7b15d1968180d5744a5b31ade45a7d221041096bdebe src/kernel-sou
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  ac54a84ce2bb7a0742a1cd46df398aeb23d83ebde9ed8c7cc0f7d914b59837dd src/kernel-source/yue2-fast/torch-ext/torch_binding.h
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  a368cb32d65829479d15c19451fe3199cf7a2d6510891a9596aa08fc4ed746dd src/kernel-source/yue2-fast/torch-ext/yue2_qkv_fused/__init__.py
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  a368cb32d65829479d15c19451fe3199cf7a2d6510891a9596aa08fc4ed746dd src/runtime/kernels/fast/torch210-cxx11-cu128-x86_64-linux/__init__.py
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  7352681d880f505a211531aa4b7028830a6f6889f2520353958748c0d3b2d7de src/runtime/kernels/fast/torch210-cxx11-cu128-x86_64-linux/_ops.py
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  b0a4d667dc1e0b1701f0bf9371254c293e30e974892e5681341980c9fe4d00ef src/runtime/kernels/fast/torch210-cxx11-cu128-x86_64-linux/_yue2_qkv_fused_cuda_46ceaaf_dirty.abi3.so
@@ -277,19 +277,19 @@ ce8fb82c3996d4c93eca1bf3a9405ef77da65c46a45623edc959fcf83bdb778d src/runtime/yu
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- efea2645a76e1366b8c77807778a1b6c549b8112869b92649057d34dc3160766 src/runtime/yue2/cuda_graph.py
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  e033afd3a06f02a824c3a78b3bdce991d4f8e09a62d0078d715f3a2a1a5827e5 src/runtime/yue2/device_ring_sampling.py
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  e6523f113132df6c04878103bca1a8b3de519fefcbc0117e97455f0dd49d1fba src/runtime/yue2/modeling_vae.py
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  0122ab1d9ec3556655db7ab435fdc9fce8373f9354a36e5bafac6637337f3159 src/runtime/yue2_orbit.py
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@@ -421,7 +421,7 @@ cfea3b98788df66437cfc7aa314411f5d98c951543d044d66168722fe742921d src/runtime/ke
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  0c560f96b857c188c4a8297ff27d1299619957c3459a5e433e132329fbfdf066 src/runtime/kernels/fast-sm120/torch210-cxx11-cu128-x86_64-linux/yue2_qkv_fused/__init__.py
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  8d84fd51f6a2e0cadb8540e50473c76c7d49c146ec7a7893283717f7f397c2ef src/runtime/kernels/fused/torch210-cxx11-cu128-x86_64-linux/__init__.py
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  ba7afaa7f20b76d639172201f3f6e373b292616cd39e9d6869b092454b44ab97 src/runtime/kernels/fused/torch210-cxx11-cu128-x86_64-linux/_ops.py
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- cb38949534adc467e9219883a4644bbe2864da1e8736edd8ab30d462e3631079 src/runtime/kernels/fused/torch210-cxx11-cu128-x86_64-linux/_yue2_qkv_fused_cuda_fg11a.abi3.so
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  cb9393248c594e1098b0255cc48e920ddfb34c1556161260867e6772251104d0 src/runtime/kernels/fused/torch210-cxx11-cu128-x86_64-linux/metadata.json
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344
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@@ -35,12 +35,12 @@
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  "vae_dtype": "float32",
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@@ -48,7 +48,7 @@
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- "runtime_bundle_sha256": "656038a3e2e941b6bcf1514e6fb4eac0f16223f44f4a8b7d6cb1e8fb69fca6dc",
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  "vae_compute_dtype": "torch.float16",
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  "expert_staging": false,
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  "orbitquant": {
 
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  "model_dtype": "bfloat16",
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  "vae_dtype": "float32",
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@@ -1,45 +1,46 @@
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  "int8_heads",
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  "kv_handoff",
 
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  "lookahead",
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- "nar_compile",
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12
  "vae_mode=default",
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  "cfg": 1.5,
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  "kv_handoff",
191
+ "lazy_handoff",
192
  "lookahead",
 
193
  "resident",
194
  "vae_compile",
195
+ "vae_core=256",
196
  "vae_mode=default",
197
  "w8a8"
198
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199
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  "cfg": 1.5,
 
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  "kv_cache_dtype": "int8",
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  "captured_sampling": true,
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  "fuse_rms_quant": true,
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+ "orbitquant_version": "0.9.8",
346
  "profile": "fast",
347
  "allocator_backend": "native",
348
  "modules": 224,
evaluation/profiles/fast/run-00/config.json CHANGED
@@ -34,12 +34,12 @@
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  "model_dtype": "bfloat16",
35
  "vae_dtype": "float32",
36
  "vae_decode": "halo_crop",
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- "vae_core_frames": 512,
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  "vae_halo_frames": 16,
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  "device": "cuda:0",
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  "decoder_release": "standard",
44
  "validation_status": "unvalidated",
45
  "runtime_profile": "fast",
@@ -47,7 +47,7 @@
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  "captured_sampling": true,
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  "kv_cache_dtype": "int8",
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  "int8_attention": "ordered",
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- "runtime_bundle_sha256": "656038a3e2e941b6bcf1514e6fb4eac0f16223f44f4a8b7d6cb1e8fb69fca6dc",
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  "vae_compute_dtype": "torch.float16",
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  "expert_staging": false,
53
  "orbitquant": {
 
34
  "model_dtype": "bfloat16",
35
  "vae_dtype": "float32",
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  "vae_decode": "halo_crop",
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  "validation_status": "unvalidated",
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  "runtime_profile": "fast",
 
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  "captured_sampling": true,
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  "kv_cache_dtype": "int8",
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  "int8_attention": "ordered",
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+ "runtime_bundle_sha256": "269214c6459739a0f08889532d5fc76f3e6f48f3908807466e14e5da4ecb1c98",
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  "vae_compute_dtype": "torch.float16",
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  "expert_staging": false,
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evaluation/profiles/fast/run-00/metrics.json CHANGED
@@ -1,45 +1,46 @@
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  "flags": [
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  "abc_crop",
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  "int8_heads",
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  "kv_handoff",
 
8
  "lookahead",
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- "nar_compile",
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  "resident",
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  "vae_compile",
 
12
  "vae_mode=default",
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  "w8a8"
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- "abc_close_seconds": 0.001899618946481496
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- "orbitquant_version": "0.9.7",
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  "modules": 224,
 
1
  {
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  "int8_heads",
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+ "lazy_handoff",
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evaluation/profiles/fast/run-00/plan.json CHANGED
@@ -9,12 +9,12 @@
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@@ -25,8 +25,8 @@
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  },
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  "gpu": "NVIDIA GeForce RTX 4090",
338
  "cfg": 1.0,
 
342
  "kv_cache_dtype": "int8",
343
  "captured_sampling": true,
344
  "fuse_rms_quant": true,
345
+ "orbitquant_version": "0.9.8",
346
  "profile": "fast",
347
  "allocator_backend": "native",
348
  "modules": 224,
evaluation/profiles/lowmem/run-00/config.json CHANGED
@@ -34,12 +34,12 @@
34
  "model_dtype": "bfloat16",
35
  "vae_dtype": "float32",
36
  "vae_decode": "halo_crop",
37
- "vae_core_frames": 512,
38
  "vae_halo_frames": 16,
39
  "device": "cuda:0",
40
  "memory_budget_gib": 18.0,
41
  "offload_ar": false,
42
- "runtime_sha256": "5e4eb1ed0dc83a824e73f200e1978a8000471773a75ada85b828ad170729e3fe",
43
  "decoder_release": "standard",
44
  "validation_status": "unvalidated",
45
  "runtime_profile": "fast",
@@ -47,7 +47,7 @@
47
  "captured_sampling": true,
48
  "kv_cache_dtype": "int8",
49
  "int8_attention": "ordered",
50
- "runtime_bundle_sha256": "656038a3e2e941b6bcf1514e6fb4eac0f16223f44f4a8b7d6cb1e8fb69fca6dc",
51
  "vae_compute_dtype": "torch.float16",
52
  "expert_staging": false,
53
  "orbitquant": {
 
34
  "model_dtype": "bfloat16",
35
  "vae_dtype": "float32",
36
  "vae_decode": "halo_crop",
37
+ "vae_core_frames": 256,
38
  "vae_halo_frames": 16,
39
  "device": "cuda:0",
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  "memory_budget_gib": 18.0,
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  "offload_ar": false,
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+ "runtime_sha256": "bb189091c79b42dd3eca4f24f6239294df3c517fb2b149fc3b30ada3be287119",
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  "decoder_release": "standard",
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  "validation_status": "unvalidated",
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  "runtime_profile": "fast",
 
47
  "captured_sampling": true,
48
  "kv_cache_dtype": "int8",
49
  "int8_attention": "ordered",
50
+ "runtime_bundle_sha256": "269214c6459739a0f08889532d5fc76f3e6f48f3908807466e14e5da4ecb1c98",
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  "vae_compute_dtype": "torch.float16",
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  "expert_staging": false,
53
  "orbitquant": {
evaluation/profiles/lowmem/run-00/metrics.json CHANGED
@@ -1,46 +1,47 @@
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  {
2
  "bundle": "v11",
3
- "mode": "lookahead,resident,abc_crop,vae_compile,vae_mode=default,kv_handoff,nar_compile,int8_heads,w8a8,int8_embed",
4
  "flags": [
5
  "abc_crop",
6
  "int8_embed",
7
  "int8_heads",
8
  "kv_handoff",
 
9
  "lookahead",
10
- "nar_compile",
11
  "resident",
12
  "vae_compile",
 
13
  "vae_mode=default",
14
  "w8a8"
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  ],
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- "native_sha256": "6fb8e94e30e2c9982da5e3e56c04dabed946fe9dc8ad1785c11cc3cf200217b4",
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  "repeat": 0,
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- "wall_seconds": 33.09325409895973,
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  "audio_seconds": 152.15866666666668,
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- "audio_per_wall": 4.597875633857647,
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- "torch_peak_gib": 3.141942024230957,
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  "semantic_sha256": "2e35b32e83f3613db2825d4879ffb1a09798f37b8f85b20ce42f7c7624bae895",
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- "latent_sha256": "fbad08afdce329193bc5f0db13dfaa55d02d35b49f48eaa8b944f1ad7f35a646",
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  "timing": {
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  "sampling": "combined_cuda_graph",
@@ -51,16 +52,16 @@
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  "lookahead": true,
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- "capture_seconds": 0.1790758069837466,
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  "sampling": "combined_cuda_graph",
@@ -71,47 +72,86 @@
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  "lookahead": true,
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  "cudnn_benchmark": false,
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  "cudnn_deterministic": true,
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- "core_frames": 512,
108
  "input_device": "cpu",
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  "input_contiguous": false
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  },
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  "nar_prefill_source": "handoff",
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- "abc_close_seconds": 0.0019991190056316555
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- "e2e_seconds": 33.08997064694995
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  "gpu": "NVIDIA GeForce RTX 4090",
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  "cfg": 1.0,
@@ -121,7 +161,7 @@
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  "kv_cache_dtype": "int8",
122
  "captured_sampling": true,
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  "fuse_rms_quant": true,
124
- "orbitquant_version": "0.9.7",
125
  "profile": "fast",
126
  "allocator_backend": "native",
127
  "modules": 224,
 
1
  {
2
  "bundle": "v11",
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+ "mode": "lookahead,resident,abc_crop,vae_compile,vae_mode=default,vae_core=256,kv_handoff,lazy_handoff,int8_heads,w8a8,int8_embed",
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  "flags": [
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  "abc_crop",
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  "int8_embed",
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  "int8_heads",
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  "kv_handoff",
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+ "lazy_handoff",
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  "lookahead",
 
11
  "resident",
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  "vae_compile",
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+ "vae_core=256",
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  "vae_mode=default",
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  "w8a8"
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  "gpu": "NVIDIA GeForce RTX 4090",
157
  "cfg": 1.0,
 
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  "kv_cache_dtype": "int8",
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  "captured_sampling": true,
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  "fuse_rms_quant": true,
164
+ "orbitquant_version": "0.9.8",
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  "profile": "fast",
166
  "allocator_backend": "native",
167
  "modules": 224,
evaluation/profiles/lowmem/run-00/plan.json CHANGED
@@ -9,12 +9,12 @@
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  "id": "song"
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  },
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evaluation/profiles/lowmem/run-00/plan_manifest.json CHANGED
@@ -1,5 +1,5 @@
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evaluation/profiles/lowmem/run-00/result.json CHANGED
@@ -1,6 +1,6 @@
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@@ -65,47 +65,86 @@
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  "modules": 224,
evaluation/profiles/off/run-00/config.json ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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