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README.md
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- hermes-agent
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- tool-selection
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- function-calling
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- lora
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- agent
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pretty_name: Hermes Tool Selector
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size_categories:
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- n<1K
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---
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# Hermes Tool Selector
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Dataset for fine-tuning LoRA adapters to improve agent tool selection. Extracted from real [Hermes Agent](https://github.com/NousResearch/hermes-agent) sessions.
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## Dataset
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| Split | Examples | Source |
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|---|---|---|
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| `train.jsonl` | 182 (augmented) | Real Hermes sessions + synthetic augmentation |
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| `train_raw.jsonl` | 59 (raw) | Real sessions, no augmentation |
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| `eval.jsonl` | 15 | Held-out benchmark cases |
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## Format
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Each line is a JSON object:
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```json
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{
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"messages": [
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{"role": "system", "content": "..."},
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{"role": "user", "content": "..."},
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{"role": "assistant", "content": "..."}
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]
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}
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```
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## Training
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Used with [Axolotl](https://github.com/axolotl-ai-cloud/axolotl) for QLoRA fine-tuning:
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```yaml
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base_model: Qwen/Qwen2.5-7B-Instruct
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adapter: qlora
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lora_r: 16
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lora_alpha: 32
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```
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## Auto-updating
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Collected automatically every 6 hours from live Hermes sessions.
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