add AIBOM
#11
by
RiccardoDav
- opened
- zed-industries_zeta.json +89 -0
zed-industries_zeta.json
ADDED
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@@ -0,0 +1,89 @@
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| 1 |
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{
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"bomFormat": "CycloneDX",
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"specVersion": "1.6",
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"serialNumber": "urn:uuid:e5ff0b12-b6f5-43da-b553-f96af962f8f9",
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"version": 1,
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"metadata": {
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"timestamp": "2025-07-10T08:31:14.251943+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "zed-industries/zeta-13bb4bec-c5fa-532a-b9cf-3f355b2e401d",
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"name": "zed-industries/zeta",
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"externalReferences": [
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{
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"url": "https://huggingface.co/zed-industries/zeta",
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"type": "documentation"
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}
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],
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"modelCard": {
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"modelParameters": {
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"architectureFamily": "qwen2",
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"modelArchitecture": "Qwen2ForCausalLM",
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"datasets": [
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{
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"ref": "zed-industries/zeta-13bb4bec-c5fa-532a-b9cf-3f355b2e401d"
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}
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]
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}
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},
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"authors": [
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{
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"name": "zed-industries"
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}
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],
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"licenses": [
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{
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"license": {
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"id": "Apache-2.0",
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"url": "https://spdx.org/licenses/Apache-2.0.html"
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}
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}
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],
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"tags": [
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"safetensors",
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"qwen2",
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"dataset:zed-industries/zeta",
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"license:apache-2.0",
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"region:us"
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]
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}
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},
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"components": [
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{
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"type": "data",
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"bom-ref": "zed-industries/zeta-13bb4bec-c5fa-532a-b9cf-3f355b2e401d",
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"name": "zed-industries/zeta",
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"data": [
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{
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"type": "dataset",
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"bom-ref": "zed-industries/zeta-13bb4bec-c5fa-532a-b9cf-3f355b2e401d",
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"name": "zed-industries/zeta",
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"contents": {
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"url": "https://huggingface.co/datasets/zed-industries/zeta",
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"properties": [
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{
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"name": "configs",
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"value": "Name of the dataset subset: default {\"split\": \"train\", \"path\": \"train.jsonl\"}, {\"split\": \"eval\", \"path\": \"eval.jsonl\"}, {\"split\": \"dpo\", \"path\": \"dpo.jsonl\"}"
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},
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{
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"name": "license",
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"value": "apache-2.0"
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}
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]
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},
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"governance": {
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"owners": [
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{
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"organization": {
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"name": "zed-industries",
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"url": "https://huggingface.co/zed-industries"
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}
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}
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]
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},
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"description": "\n\t\n\t\t\n\t\tDataset for Zeta\n\t\n\nThis is the open dataset used to train Zeta, an edit prediction model that powers Zed's predictive coding feature. Zeta is derived from Qwen2.5-Coder-7B and predicts the developer's next code edit based on their recent programming patterns and cursor position, allowing for intelligent completion with a simple tab press.\nThis dataset is split into three parts:\n\ntrain.jsonl: Contains the training data for supervised fine-tuning.\ndpo.jsonl: Contains the data for the\u2026 See the full description on the dataset page: https://huggingface.co/datasets/zed-industries/zeta."
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}
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]
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}
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]
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}
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