Model HQ

Hardware optimized

Apple Supported Models

A complete catalog of 122 AI models optimized for Apple Silicon and Apple Neural Engine.

Hover the Encyclopedia tab on the right, or tap any icon to learn what a model type does.
122
Optimized models
Apple Silicon
Processor
macOS · iOS
Devices
Why Apple

Apple optimization features

These models are optimized for Apple Silicon processors and leverage Metal Performance Shaders and the Apple Neural Engine for enhanced performance on macOS and iOS devices.

Performance benefits

  • Optimized for Apple Silicon architectures (M-series chips)
  • Enhanced inference speed with Metal Performance Shaders
  • Power-efficient execution on Apple Neural Engine
  • Unified memory architecture for fast data access

Supported hardware

  • Apple Silicon M1, M2, M3, and M4 series processors
  • Apple Neural Engine (ANE)
  • Apple integrated GPUs
  • macOS and iOS devices
Catalog

All Supported Models

Models optimized for Apple Silicon and Apple Neural Engine

Agentic

29 models
slim-ner-tool1.1B
slim-sentiment-tool1.1B
slim-emotions-tool1.1B
slim-ratings-tool1.1B
slim-intent-tool1.1B
slim-nli-tool1.1B
slim-topics-tool1.1B
slim-tags-tool1.1B
slim-sql-tool1.1B
slim-category-tool1.1B
slim-xsum-tool1.1B
slim-extract-tool1.1B
slim-extract-phi-3-gguf3.8B
slim-extract-qwen-1.5b-gguf1.5B
slim-extract-qwen-nano-gguf0.5B
slim-extract-tiny-tool1.1B
slim-summary-tiny-tool1.1B
slim-summary-phi-3-gguf3.8B
slim-xsum-phi-3-gguf3.8B
slim-boolean-tool1.1B
slim-boolean-phi-3-gguf3.8B
slim-sa-ner-phi-3-gguf3.8B
slim-sa-ner-tool1.1B
slim-tags-3b-tool3B
slim-summary-tool1.1B
slim-q-gen-phi-3-tool3.8B
slim-q-gen-tiny-tool1.1B
slim-qa-gen-tiny-tool1.1B
slim-qa-gen-phi-3-tool3.8B

Cloud

15 models
claude-opus-4-5NA
claude-haiku-4-5NA
claude-sonnet-4-5NA
claude-sonnet-4-20250514NA
claude-opus-4-20250514NA
gemini-3-pro-previewNA
gemini-3-flash-previewNA
gemini-2.5-proNA
gemini-2.5-flashNA
gemini-2.5-flash-liteNA
gpt-5.2-proNA
gpt-5.2NA
gpt-5-miniNA
gpt-5-nanoNA
gpt-4.1NA

Coding

1 models
qwen-2.5-7b-coder-gguf7B

Embedding

8 models
all-mini-lm-L6-v20.02B
all-mpnet-base-v20.1B
industry-bert-insurance0.1B
industry-bert-contracts0.1B
industry-bert-asset-management0.1B
industry-bert-sec0.1B
industry-bert-loans0.1B
nomic-ai/nomic-embed-text-v10.1B

General Chat

34 models
llama-2-7b-chat-gguf7B
dragon-llama-3.1-gguf8B
tiny-llama-chat-gguf1.1B
qwen3-1.7b-gguf1.7B
qwen3-8b-gguf8B
qwen3-14b-gguf14B
qwen-3.5-4b-gguf4B
qwen-3.5-9b-gguf9B
qwen-3.5-27b-gguf27B
qwen-3.5-35b-a3b-gguf35B
qwen2.5-32b-gguf32B
qwen2.5-72b-gguf72B
deepseek-qwen-14b-gguf14B
deepseek-qwen-7b-gguf7B
phi-3-gguf3.8B
phi-3.5-gguf3.8B
phi-4-gguf14B
phi-4-mini-gguf3.8B
phi-4-mini-reasoning-gguf3.8B
mistral-small-3.2-24b-gguf24B
ministral-3-14b-gguf14B
openhermes-2.5-mistral-7b-gguf7B
zephyr-7b-beta-gguf7B
starling-lm-7b-alpha-gguf7B
gemma-3-4b-gguf4B
gemma-3-12b-gguf12B
gemma-4-4b-gguf4B
gemma-4-2b-gguf2B
gemma-4-26b-gguf26B
gpt-oss-20b-gguf20B
olmo-13b-gguf13B
granite-4-micro-gguf1.1B
liquidai-lfm2-2.6b-gguf2.6B
minicpm-2.6-gguf4B

Instruct

13 models
gemma-2-9b-instruct-gguf9B
gemma-2-27b-instruct-gguf27B
llama-3.1-instruct-gguf8B
llama-3-8b-instruct-gguf8B
llama-3.2-1b-instruct-gguf1.1B
llama-3.2-3b-instruct-gguf3B
mistral-7b-instruct-v0.3-gguf7B
qwen2.5-vl-3b-instruct-gguf3B
qwen2-7B-instruct-gguf7B
qwen3-4b-instruct-gguf4B
qwen2-1.5b-instruct-gguf1.5B
qwen2-0.5b-instruct-gguf0.5B
qwen-2.5-14b-instruct-gguf14B

Re-ranker

6 models
jina-reranker-tiny-ppt0.1B
jina-reranker-turbo-ppt0.6B
jina-reranker-tiny-onnx0.1B
jina-reranker-turbo-onnx0.6B
jina-reranker-v1-turbo-en0.6B
jina-reranker-v1-tiny-en0.1B

Speech-to-text

1 models
whisper-cpp-base-english0.07B

Question-answer

11 models
bling-qwen-mini-tool1.5B
dragon-qwen-7b-gguf7B
bling-phi-3-gguf3.8B
bling-phi-3.5-gguf3.8B
dragon-mistral-0.3-gguf7B
dragon-yi-9b-gguf9B
dragon-yi-answer-tool6B
bling-stablelm-3b-gguf3B
bling-answer-tool1.1B
dragon-llama-answer-tool7B
dragon-mistral-answer-tool7B

Vision

4 models
qwen2.5-vl-3b-instruct-gguf3B
qwen3-vl-8b-gguf8B
qwen3-vl-4b-gguf4B
qwen3-vl-30b-gguf30B
Next steps

Getting started with Apple models

  1. 01Ensure you have a device with Apple Silicon (M1 or later).
  2. 02Select models optimized for Apple from the Models section.
  3. 03The system automatically applies Apple optimizations when available.
  4. 04Monitor performance improvements and power efficiency.

Not sure what your hardware supports?

Check the system requirements to find the right models for your machine.

Check system requirements

For Apple-specific optimization questions, contact our technical support team at support@aibloks.com.

Reference

Encyclopedia