Dataset · Hugging Face
uygarkurt/xlam-tool-calling-mixed
xLAM Tool Calling with Abstention Training only on examples that require a tool call can encourage a model to call a tool even when none of the available tools is suitable. This dataset combines valid tool-call examples with irrelevant-tool no-call examples to teach both call construction and when to abstain. The positive examples come from lockon/xlam-function-calling-60k and are normalized and split before mixing. Tool schemas are converted to Transformers' standard function… See the full description on the dataset page: https://huggingface.co/datasets/uygarkurt/xlam-tool-calling-mixed.
| Author / organization | uygarkurt |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 October 2026 |
| Last updated at source | 25 October 2026 |
Connected in the knowledge graph
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-grpo1320-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft16800-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-grpo1980-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft11200-grpo1320-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft11200-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo3300-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-grpo3300-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft8400-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft11200-grpo2640-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo3300-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo3960-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft11200-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft14000-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo1980-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo1980-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-grpo2640-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft8400-grpo1320-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft8400-grpo3300-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft11200-grpo1980-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo2640-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo4620-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo1320-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo3960-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-grpo3960-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft14000-grpo1980-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo4620-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft8400-grpo2640-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo2640-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft14000-grpo1320-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft8400-grpo1980-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft2800-grpo1320-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft19600-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft16800-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft8400-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft14000-grpo660-loraModel · used to train
- uygarkurt/Qwen2.5-0.5B-Instruct-xlam-mixed-sft5600-loraModel · used to train
Recent changes
- 25 Oct 2026 Description: none → xLAM Tool Calling with Abstention Training only on examples that require a tool call can encourage a model to call a tool even when none of the available tools is suitable. This dataset combines valid tool-call examples with irrelevant-tool
- 25 Oct 2026 Topics added tool-calling, function-calling, abstention
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 25 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.