hotchpotch
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query-context-pruner-multilingual-Qwen3-4B

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hotchpotch commited on Oct 26, 2025

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-license: apache-2.0
 datasets:
 - hotchpotch/qa-context-relevance-multilingual-140k
 base_model:
 - Qwen/Qwen3-4B
 ---
-# query-context-pruner-multilingual
-[![Model on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/model-on-hf-sm.svg)](https://huggingface.co/hotchpotch/query-context-pruner-multilingual-Qwen3-4B)
-[![Dataset on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-sm.svg)](https://huggingface.co/datasets/hotchpotch/qa-context-relevance-multilingual-140k)
-![Query-Context Pruner Model Overview](query-context-pruner.svg)
 A multilingual model designed to remove contexts irrelevant to queries. Since this model is a relatively large LLM, practical pruning methods like [Provence](https://arxiv.org/abs/2501.16214) are needed for speed-critical information retrieval tasks. This model is particularly well-suited for generating teacher labels for training such efficient pruning models.

 ---
+license: mit
 datasets:
 - hotchpotch/qa-context-relevance-multilingual-140k
 base_model:
 - Qwen/Qwen3-4B
 ---
+# query-context-pruner-multilingual
 A multilingual model designed to remove contexts irrelevant to queries. Since this model is a relatively large LLM, practical pruning methods like [Provence](https://arxiv.org/abs/2501.16214) are needed for speed-critical information retrieval tasks. This model is particularly well-suited for generating teacher labels for training such efficient pruning models.