Replace layer 5 with same_input fp16-block PV (v4)
Browse files- arvq-layer-005-down.safetensors +2 -2
- arvq-layer-005-gateup.safetensors +2 -2
- cold_manifests/layer-005-manifest.json +714 -7
- gates_report.json +2 -2
- pv_layers/layer_005.json +411 -438
arvq-layer-005-down.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
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| 3 |
-
size
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| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2907ea1af7c23673eb63508f76491b7084063b1c18bf8f02c4df253b828f794
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| 3 |
+
size 565201628
|
arvq-layer-005-gateup.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
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| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
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| 3 |
-
size
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| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd4927ccb1e4a11f4fb1e6b6f179e5efd23e0604c2b832899b37aa6af5b8ea8f
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| 3 |
+
size 1130056420
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cold_manifests/layer-005-manifest.json
CHANGED
|
@@ -174,11 +174,11 @@
|
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| 174 |
"files": {
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| 175 |
"w13": {
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| 176 |
"file": "arvq-layer-005-gateup.safetensors",
|
| 177 |
-
"sha256": "
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| 178 |
},
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"w2": {
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"file": "arvq-layer-005-down.safetensors",
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-
"sha256": "
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}
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},
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| 184 |
"per_proj": {
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@@ -392,11 +392,719 @@
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"codebook_scope": "expert"
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| 393 |
}
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},
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| 395 |
-
"format": "
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| 396 |
-
"
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| 397 |
-
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|
| 398 |
"codebook_scope": "expert",
|
| 399 |
-
"bits": 2.
|
| 400 |
"codebook_sizes": [
|
| 401 |
256,
|
| 402 |
256
|
|
@@ -406,7 +1114,6 @@
|
|
| 406 |
8
|
| 407 |
],
|
| 408 |
"words_per_tile": 64,
|
| 409 |
-
"fit": "initial Hessian fit, no PV",
|
| 410 |
"production_ready": false,
|
| 411 |
"roundtrip": "all expert indices exact; 3 decoded weights/projection exact",
|
| 412 |
"requires_8x8_loader_kernel": true
|
|
|
|
| 174 |
"files": {
|
| 175 |
"w13": {
|
| 176 |
"file": "arvq-layer-005-gateup.safetensors",
|
| 177 |
+
"sha256": "fd4927ccb1e4a11f4fb1e6b6f179e5efd23e0604c2b832899b37aa6af5b8ea8f"
|
| 178 |
},
|
| 179 |
"w2": {
|
| 180 |
"file": "arvq-layer-005-down.safetensors",
|
| 181 |
+
"sha256": "d2907ea1af7c23673eb63508f76491b7084063b1c18bf8f02c4df253b828f794"
|
| 182 |
}
|
| 183 |
},
|
| 184 |
"per_proj": {
|
|
|
|
| 392 |
"codebook_scope": "expert"
|
| 393 |
}
|
| 394 |
},
|
| 395 |
+
"format": "rvq256_256x8_expert_fp16block",
|
| 396 |
+
"fit": "sequential same_input-trajectory gradient PV; recipe=full_corpus_sequence_pass_v1; updates=30",
|
| 397 |
+
"pv_report": {
|
| 398 |
+
"layer": 5,
|
| 399 |
+
"target": "same_input",
|
| 400 |
+
"recipe": "full_corpus_sequence_pass_v1",
|
| 401 |
+
"block_scale_dtype": "fp16",
|
| 402 |
+
"batch_tokens": 262144,
|
| 403 |
+
"sequence_order_sha256": "5e0ef183802009d0483fe37a60f5acd49dd99218130e0c952f097fa473d863bf",
|
| 404 |
+
"training_sequence_count": 14657,
|
| 405 |
+
"training_passes": 0.5240171180844249,
|
| 406 |
+
"training_tokens_seen": 7864320,
|
| 407 |
+
"adaptive_schedule": {
|
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