| Προγραμματιστής: | John Taverna (3) | ||
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Περιγραφή
OPTIMIZED FOR APPLE SILICON
Native support for MLX, Apple's machine learning framework designed specifically for M-series chips. Run models directly on your Mac's unified memory architecture with accurate
BENCHMARK MODULE
Run comprehensive performance tests on any local model. Watch real-time metrics as tokens stream in — tokens per second, time to first token, and total generation time. Hardware telemetry shows GPU utilization, memory pressure, and thermal state so you can correlate performance with system load. Every session is automatically saved, letting you track improvements over time and compare results across different models, quantizations, and hardware configurations.
ARENA MODE
Stop guessing which model is better. Arena puts two models head-to-head with the same prompt, running them in parallel or sequentially. See responses side-by-side with detailed timing breakdowns. Perfect for evaluating quality versus speed tradeoffs, testing different quantization levels, or finding the right model for your specific use case.
VAULT
Your central hub for model management. Browse all available models across your backends, inspect metadata, and keep your local AI library organized.
SUPPORTED BACKENDS
• MLX-LM - Full support for Apple MLX service models
• Ollama - Full support for all Ollama models
• LM Studio - Connect via OpenAI-compatible API
• openWebUI running server
• Docker Model Runner
• LocalAI, vLLM, and any OpenAI-compatible server
• Configure multiple backends and switch instantly
BUILT FOR MAC
Anubis is a native SwiftUI application designed exclusively for macOS. It leverages Apple Silicon's unified memory architecture for accurate performance measurement and integrates seamlessly with your Mac workflow. No Electron, no web views — just a fast, responsive native experience.
KEY FEATURES
• Real-time token streaming with live performance metrics
• Persistent benchmark history with session comparison
• Side-by-side model comparison in Arena mode
• Hardware telemetry (GPU, memory, thermal monitoring)
• Multiple backend support with easy switching
• Clean, intuitive interface designed for focus
• Configurable test parameters (temperature, top-p, max tokens)
• Export-ready results for documentation and sharing
WHO IS ANUBIS FOR?
• Developers integrating LLMs into applications
• Researchers comparing model architectures
• AI enthusiasts optimizing their local setup
• Teams evaluating models for production use
• Anyone who wants data-driven model selection
Whether you're choosing between Llama, Mistral, Qwen, or Phi models - or comparing Q4 versus Q8 quantizations - Anubis gives you the metrics you need to make informed decisions.
Stop relying on vibes. Start benchmarking with Anubis. performance measurement. Also supports Ollama, LM Studio, and any OpenAI-compatible server.
Στιγμιότυπα οθόνης
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macOS Εφαρμογές›Εργαλεία - Λειτουργικό σύστημα:
macOS,macOS 15.0 και νεότερες εκδόσεις - Μέγεθος:
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https://devpadapp.com/anubis/index.html
anubis Pro URL μικρού μήκους: Αντιγράφηκε!- 🌟 Κοινή χρήση
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