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AppleDecember 2, 2025

CLaRa-7B-Instruct

Open Source
AI Agents
LLMs
ML

Explore CLaRa-7B-Instruct

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### TL;DR

CLaRa-7B-Instruct is an instruction-tuned unified Retrieval-Augmented Generation (RAG) model developed by Apple. It integrates semantic document compression at 16× and 128× ratios, enabling efficient instruction-following question answering directly from compressed document representations.

Key Insights & Metrics

Pricing
Free
Cost structure
Version
v0.2
Current release version
Hardware
8GB+ GPU, 16GB+ RAM (RTX 3080 or higher)
Compute requirements
Category
Open Source
Licensing model
Region
United States
Primary region

Key Features

  • Instruction-tuned for enhanced question-answering performance
  • Built-in semantic document compression at 16× and 128× ratios
  • Unified RAG model combining retrieval and generation in a shared latent space
  • Differentiable top-k estimator aligning document relevance with answer quality
  • Achieves strong performance on multi-hop QA benchmarks under compression

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