5Kdl/month
22likes
Identifier
Model ID
LiquidAI/LFM2.5-Audio-1.5B-JP-GGUFTags
llama.cppggufliquidlfm2.5edgeaudiospeechspeech-to-speechliquid-audioaudio-to-audiojaarxiv:2511.23404base_model:LiquidAI/LFM2.5-Audio-1.5B-JPbase_model:quantized:LiquidAI/LFM2.5-Audio-1.5B-JPlicense:otherendpoints_compatibleregion:usconversational
Use LFM2.5-Audio-1.5B-JP-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, LFM2.5-Audio-1.5B-JP-GGUF runs as a managed extractor inside a processing pipeline. Point a bucket of audio to audio 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
OrganizationLiquidAI
TaskAudio To Audio
Libraryllama.cpp
Licenseother
Downloads/mo5K
Likes22
View on HuggingFace
See model card, files, and community discussion