19dl/month
Identifier
Model ID
Weni/ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3Tags
peftpytorchtensorboardsafetensorsllamazero-shot-classificationptdataset:Weni/zeroshot-3.0.3base_model:NousResearch/Nous-Hermes-Llama2-13bbase_model:adapter:NousResearch/Nous-Hermes-Llama2-13bregion:us
Use ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3 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, ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3 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
OrganizationWeni
TaskZero Shot Classification
Librarypeft
Downloads/mo19
View on HuggingFace
See model card, files, and community discussion
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