Ane Fieldfare

Ane Fieldfare is a command-line tool and OpenAI-compatible server that runs Gemma 4 models on Apple Silicon Macs.

Ane Fieldfare runs the Gemma 4 26B-A4B model locally on Apple Silicon Macs using the Apple Neural Engine and GPU. It uses the operating system file cache for zero-copy access to model experts, reducing memory usage. The Neural Engine handles prompt prefill while the GPU manages speculative decoding and generation. It provides a command-line interface and an OpenAI-compatible HTTP server to support various chat clients. Users install model checkpoints via the provided installer, with options for vision outputs and draft models.

Ane Fieldfare at a glance

Best for: Software engineer, Researcher
Runs on: macOS
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/zw5/ane-fieldfare

Key features

Run Gemma 4 26B-A4B models
Apple Neural Engine prefill acceleration
GPU-based speculative decoding
OpenAI-compatible HTTP server
Command-line interface with options
Zero-copy Metal buffers from file cache
Streaming chat completions support

Use it for

Running local large language models on Macs
Serving local AI models via OpenAI-compatible APIs
Executing high-speed prompt prefill and generation
Integrating local models with chat applications

Alternatives to Ane Fieldfare

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MTPLX — It runs local models twice as fast via native MTP speculative decoding.
Pulsar — It is the fastest inference engine for Qwen models on Apple Silicon.
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Kapitsa — Optimized inference engine delivering high token generation speeds on Apple Silicon.
OptiQ — Runs entirely on Apple Silicon without PyTorch or cloud dependence.
Union.ai — Runs machine learning tasks natively on Apple Silicon GPUs using Metal.
Enclyra — Runs locally on Apple Silicon with 8 GB of RAM and keeps your data offline.

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