Safetensors
qwen2
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  1. zed-industries_zeta.json +89 -0
zed-industries_zeta.json ADDED
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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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+ }