9dl/month
1likes
Identifier
Model ID
sknow-lab/Qwen2.5-14B-CIC-SciCite-GGUFTags
transformersggufscientometricscitation_analysiscitation_intent_classificationzero-shot-classificationendataset:allenai/scicitearxiv:2502.14561base_model:Qwen/Qwen2.5-14B-Instructbase_model:quantized:Qwen/Qwen2.5-14B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
Use Qwen2.5-14B-CIC-SciCite-GGUF on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, Qwen2.5-14B-CIC-SciCite-GGUF runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
Organizationsknow-lab
TaskZero Shot Classification
Librarytransformers
Licenseapache-2.0
Downloads/mo9
Likes1
View on HuggingFace
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