Publish amplify-120m-f16-af32 RDRR artifact
Browse files- models/amplify-120m-f16-af32/SOURCE.md +14 -0
- models/amplify-120m-f16-af32/manifest.json +3336 -0
- models/amplify-120m-f16-af32/origin.json +10 -0
- models/amplify-120m-f16-af32/shard_00000.bin +3 -0
- models/amplify-120m-f16-af32/shard_00001.bin +3 -0
- models/amplify-120m-f16-af32/shard_00002.bin +3 -0
- models/amplify-120m-f16-af32/shard_00003.bin +3 -0
- models/amplify-120m-f16-af32/tokenizer.json +1 -0
models/amplify-120m-f16-af32/SOURCE.md
ADDED
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# AMPLIFY 120M RDRR artifact
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This directory contains a Doppler RDRR conversion of
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`chandar-lab/AMPLIFY_120M` at source revision
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`d918a9e8c64dc43f6ec4996022c3deba14d66470`.
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- Upstream model: https://huggingface.co/chandar-lab/AMPLIFY_120M
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- Upstream license: MIT
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- Doppler model ID: `amplify-120m-f16-af32`
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- Qualification: `docs/status/amplify-120m-sequence-webgpu-lora-qualification-2026-07-19.json`
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The qualification proves deterministic tokenizer identity, selected numerical
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parity probes, finite WebGPU sequence outputs, and the synthetic LoRA lifecycle.
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It is not a downstream biological-task quality claim.
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models/amplify-120m-f16-af32/manifest.json
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|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"modelId": "amplify-120m-f16-af32",
|
| 4 |
+
"modelType": "embedding",
|
| 5 |
+
"quantization": "F16",
|
| 6 |
+
"quantizationInfo": {
|
| 7 |
+
"weights": "f16",
|
| 8 |
+
"embeddings": "f16",
|
| 9 |
+
"compute": "f32",
|
| 10 |
+
"variantTag": "f16-af32"
|
| 11 |
+
},
|
| 12 |
+
"artifactIdentity": {
|
| 13 |
+
"artifactCompleteness": "complete",
|
| 14 |
+
"conversionConfigDigest": "sha256:cdcc8eaf3c18df8f9849889cefe89c5652e3e5e582710435a47ea038c0fe1e2e",
|
| 15 |
+
"conversionConfigPath": "src/config/conversion/amplify/amplify-120m-f16-af32.json",
|
| 16 |
+
"manifestVariantId": "amplify-120m-f16-af32-mv-exec-v1",
|
| 17 |
+
"materializationProfile": "f16-weights-f32-activations",
|
| 18 |
+
"modalitySet": [
|
| 19 |
+
"protein_sequence"
|
| 20 |
+
],
|
| 21 |
+
"shardSetHash": "sha256:b97fe5d4f452be69bbdbb6a9b569aa4c9cc5882291dee36ac2aa703506392ba8",
|
| 22 |
+
"sourceCheckpointId": "chandar-lab/AMPLIFY_120M@d918a9e8c64dc43f6ec4996022c3deba14d66470",
|
| 23 |
+
"sourceFormat": "safetensors",
|
| 24 |
+
"sourceRepo": "chandar-lab/AMPLIFY_120M",
|
| 25 |
+
"sourceRevision": "d918a9e8c64dc43f6ec4996022c3deba14d66470",
|
| 26 |
+
"weightPackHash": "sha256:6943813494fc75d352c29852dfb285251f06009db99529d566e076159a3aa43b",
|
| 27 |
+
"weightPackId": "amplify-120m-f16-af32-wp-v1"
|
| 28 |
+
},
|
| 29 |
+
"architecture": {
|
| 30 |
+
"numLayers": 24,
|
| 31 |
+
"hiddenSize": 640,
|
| 32 |
+
"intermediateSize": 1712,
|
| 33 |
+
"numAttentionHeads": 10,
|
| 34 |
+
"numKeyValueHeads": 10,
|
| 35 |
+
"headDim": 64,
|
| 36 |
+
"vocabSize": 27,
|
| 37 |
+
"maxSeqLen": 2048,
|
| 38 |
+
"linearNumKeyHeads": null,
|
| 39 |
+
"linearNumValueHeads": null,
|
| 40 |
+
"linearKeyHeadDim": null,
|
| 41 |
+
"linearValueHeadDim": null,
|
| 42 |
+
"linearConvKernelDim": null,
|
| 43 |
+
"hiddenSizePerLayerInput": null,
|
| 44 |
+
"vocabSizePerLayerInput": null,
|
| 45 |
+
"globalHeadDim": null,
|
| 46 |
+
"numKvSharedLayers": null
|
| 47 |
+
},
|
| 48 |
+
"moeConfig": null,
|
| 49 |
+
"inference": {
|
| 50 |
+
"schema": "doppler.execution/v1",
|
| 51 |
+
"attention": {
|
| 52 |
+
"queryKeyNormType": "rmsnorm",
|
| 53 |
+
"queryKeyNormAxis": "head",
|
| 54 |
+
"queryPreAttnScalar": 64,
|
| 55 |
+
"attnLogitSoftcapping": null,
|
| 56 |
+
"slidingWindow": null,
|
| 57 |
+
"queryKeyNorm": false,
|
| 58 |
+
"queryKeyNormLayers": null,
|
| 59 |
+
"queryKeyNormWeightLayers": null,
|
| 60 |
+
"valueNorm": false,
|
| 61 |
+
"causal": false,
|
| 62 |
+
"attentionBias": false,
|
| 63 |
+
"attentionOutputGate": false,
|
| 64 |
+
"outputGateType": null
|
| 65 |
+
},
|
| 66 |
+
"normalization": {
|
| 67 |
+
"rmsNormEps": 0.00001,
|
| 68 |
+
"rmsNormWeightOffset": false,
|
| 69 |
+
"postAttentionNorm": true,
|
| 70 |
+
"preFeedforwardNorm": false,
|
| 71 |
+
"postFeedforwardNorm": false
|
| 72 |
+
},
|
| 73 |
+
"ffn": {
|
| 74 |
+
"activation": "silu",
|
| 75 |
+
"gatedActivation": true,
|
| 76 |
+
"branchMode": "dense",
|
| 77 |
+
"useDoubleWideMlp": false,
|
| 78 |
+
"swigluLimit": null
|
| 79 |
+
},
|
| 80 |
+
"rope": {
|
| 81 |
+
"ropeTheta": 10000,
|
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