Card: add published retrieval+validator numbers and Intent finder link
Browse files
README.md
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@@ -49,7 +49,7 @@ Trained model: [gesh75/netops-intent2cli-qwen0.5b-lora](https://huggingface.co/g
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- `v2/new_pairs.jsonl` is the audit ledger (new training and operator-test requests with explicit split labels), not another training split. **Do not train on operator_test.**
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- Source labels: `intent_origin=synthetic-authored-grammar-v2`, `command_origin=verbatim-multivendor-cli-commands`. Inherited v1 rows retain their previous provenance (`corpus` or `curated`).
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- New rows pass exact command/vendor/OS membership checks, heuristic near-duplicate rejection, fixed command holdouts and restricted-work-term scanning (zero hits). See the [model card](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora) for evaluation and training.
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## Limitations
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@@ -72,7 +72,7 @@ Dataset MIT, unchanged. Model adapter Apache-2.0. Vendor names and command synta
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| 📡 **[netlog-ai](https://huggingface.co/spaces/gesh75/netlog-ai)** | Sanitize-first network log analysis — browser lite demo of [netlog-ai](https://pypi.org/project/netlog-ai/) (PyPI 2.1.0) |
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| 🛠️ **[multivendor-cli-configurator](https://huggingface.co/spaces/gesh75/multivendor-cli-configurator)** | 70k+ CLI commands across 17 vendors — cheatsheet, N-vendor compare, CLI Studio |
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| 🗂️ **[multivendor-cli-commands](https://huggingface.co/datasets/gesh75/multivendor-cli-commands)** | The same 70,006 commands as a Parquet dataset |
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| 🧭 **[netops-intent2cli](https://huggingface.co/datasets/gesh75/netops-intent2cli)** | v1 + v2 synthetic operator intents → corpus command pairs |
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| 🤖 **[netops-intent2cli-qwen0.5b-lora](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora)** | LoRA adapter: English intent → vendor CLI (experimental) |
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- `v2/new_pairs.jsonl` is the audit ledger (new training and operator-test requests with explicit split labels), not another training split. **Do not train on operator_test.**
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| 51 |
- Source labels: `intent_origin=synthetic-authored-grammar-v2`, `command_origin=verbatim-multivendor-cli-commands`. Inherited v1 rows retain their previous provenance (`corpus` or `curated`).
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- New rows pass exact command/vendor/OS membership checks, heuristic near-duplicate rejection, fixed command holdouts and restricted-work-term scanning (zero hits). See the [model card](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora) for evaluation and training. Adapter-only v2 exact match: 12/108 (11.1%) on the frozen test, 9/88 (10.2%) on `operator_test`. Optional retrieval+validator lookup mode: 63/108 and 58/88 when the gold command is already in the 70,006-row corpus; it cannot invent a command missing from the base. Retrieval-only browser demo: [Intent finder](https://gesh75-multivendor-cli-configurator.static.hf.space/intent-finder.html).
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## Limitations
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|---|---|
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| 📡 **[netlog-ai](https://huggingface.co/spaces/gesh75/netlog-ai)** | Sanitize-first network log analysis — browser lite demo of [netlog-ai](https://pypi.org/project/netlog-ai/) (PyPI 2.1.0) |
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| 🛠️ **[multivendor-cli-configurator](https://huggingface.co/spaces/gesh75/multivendor-cli-configurator)** | 70k+ CLI commands across 17 vendors — cheatsheet, N-vendor compare, CLI Studio, Intent finder |
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| 🗂️ **[multivendor-cli-commands](https://huggingface.co/datasets/gesh75/multivendor-cli-commands)** | The same 70,006 commands as a Parquet dataset |
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| 🧭 **[netops-intent2cli](https://huggingface.co/datasets/gesh75/netops-intent2cli)** | v1 + v2 synthetic operator intents → corpus command pairs |
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| 🤖 **[netops-intent2cli-qwen0.5b-lora](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora)** | LoRA adapter: English intent → vendor CLI (experimental) |
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