NEWMVS for embeddings. Managed for files. Both on object storage.Vectors or files. Pick a path.Start →

Start here

Vector Store (MVS)

Bring your own vectors. Dense, sparse, and BM25 search on object storage.

Managed Indexing

Connect a bucket and auto-extract scenes, faces, OCR, transcripts, and embeddings.

Build

Compose multi-stage search in <100ms: filter, join, rerank.

Feature Extractors

Typed pipelines for faces, scenes, transcripts, OCR, fingerprints.

S3, GCS, R2, Mux, LangChain, MCP, and more. Connect your stack.

Generate and store embeddings from 50+ models, then search them.

By Industry

Talent search, brand safety, creative analytics.

Scene search, recommendation, archive access.

Visual search, PDP enrichment, catalog QA.

Lecture search, transcript Q&A, content safety.

View all solutions →

By Use Case

Face & Person Search

Find anyone across video libraries in milliseconds.

IP & Copyright Detection

Logos, songs, faces: one pipeline, one report.

Visual Taste & Recs

Scene-similarity ranked recommendations with RL.

Brand & Ad Safety

Pre-publish content screening at bid-time speeds.

View all use cases →

Build

API reference, SDKs, recipes, and architecture guides.

Launches, deep dives, and field notes from our engineers.

Browse supported HuggingFace models by task and modality.

See what teams are building with Mixpeek.

Education

Multimodal University

Fundamentals of multimodal retrieval, modules + certs.

Every term you need: embeddings to re-rankers.

Talks, demos, and customer sessions on demand.

Mixpeek vs. Pinecone, Weaviate, Twelve Labs, more.

Mission, team, and the multimodal vision.

We're hiring across research, infra, and design.

Talk to sales, support, or press.

White-glove 30-day production pilot for new customers.

Sign in Request Demo Start free →

Models/Any To Any/Junfeng5/Liquid_V1_7B

Any To Anytransformersmit

Liquid_V1_7B

by Junfeng5

4Kdl/month

95likes

HuggingFace Use in Pipeline

Identifier

Model ID

Junfeng5/Liquid_V1_7B

Tags

transformerssafetensorsgemmatext-generationany-to-anyendataset:mlfoundations/dclm-baseline-1.0dataset:cerebras/SlimPajama-627Bdataset:bigcode/starcoderdatadataset:JourneyDB/JourneyDBarxiv:2412.04332base_model:google/gemma-7bbase_model:finetune:google/gemma-7blicense:mittext-generation-inferenceendpoints_compatibleregion:us

Use Liquid_V1_7B on Mixpeek

Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

Specification

OrganizationJunfeng5

TaskAny To Any

Librarytransformers

Licensemit

Downloads/mo4K

Likes95

View on HuggingFace

See model card, files, and community discussion

Related Any To Any Models

google/gemma-4-E4B-it

google/gemma-4-E2B-it

OneThink/OneThinker-SFT-Qwen3-8B

Qwen/Qwen3-Omni-30B-A3B-Instruct

Qwen/Qwen2.5-Omni-3B

google/gemma-4-E2B

Qwen/Qwen2.5-Omni-7B

nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4