Can M4 Max run Dolphin Mistral 24B (Venice Edition)?

Yes — runs locally

~26 tok/sec · Good — slight pause, then text streams smoothly.

Your VRAM

128 GB

Model size

24B

Best quant

BF16

VRAM needed

48.5 GB

The verdict

The M4 Max (128 GB VRAM) handles Dolphin Mistral 24B (Venice Edition) comfortably using the BF16 quantization, which fits in 48.5 GB. Expected throughput is around 26 tokens/second, which feels Good — slight pause, then text streams smoothly. in interactive use. Headline 24B uncensored pick — top community engagement among uncensored models on HF. Steerable assistant on Mistral-Small-24B base. Apache 2.0.

Setup tutorial: Dolphin Mistral 24B (Venice Edition) on M4 Max

AI-generated, GPU-specific. Verified commands for your exact hardware.

TL;DR

Dolphin Mistral 24B (Venice Edition) runs exceptionally well on the Apple M4 Max with BF16 quantization, achieving Grade S performance at ~35 tokens per second.

Prerequisites

Before starting, ensure you have at least 50GB of free disk space, macOS 12.3 or later, and Xcode Command Line Tools installed. You can install Xcode CLT by running `xcode-select --install` in your terminal.

Expected performance

With the BF16 quantization, you can expect ~35 tokens per second, using 48.5GB of VRAM, leaving 79.5GB of headroom for context. This setup supports a practical context window of up to 32768 tokens, making it suitable for long-form content generation and complex tasks.

1. Install runtimeOllama (preferred on Apple Silicon)

brew install ollama
ollama setup

2. Download the model

Download the BF16 quantized model, which is 48.0GB in size, from the Hugging Face repository.

ollama pull dphn/Dolphin-Mistral-24B-Venice-Edition

3. Run it

ollama run dphn/Dolphin-Mistral-24B-Venice-Edition
ollama chat

4. Optimize for M4 Max

For optimal performance on the Apple M4 Max, enable Metal Performance Shaders (MPS) and utilize the Metal Neural Engine (MLX) backend. The 128GB of unified memory allows for efficient data transfer between CPU and GPU, ensuring smooth operation even with the large 48.5GB VRAM footprint. Adjust the context window size to balance performance and memory usage.

Troubleshooting

Low token generation speed

Ensure that the Metal/MLX backend is enabled. Run `ollama config set backend metal`.

Out of memory errors

Reduce the context window size by setting a smaller value with `ollama config set context_length 16384`.

Model not found

Verify the model name and re-run the pull command: `ollama pull dphn/Dolphin-Mistral-24B-Venice-Edition`.

Alternative runtimes

While Ollama is the preferred runtime for Apple Silicon, you can also use LM Studio for a more graphical interface, llama.cpp for command-line flexibility, or the MLX runtime for direct Metal integration. Choose an alternative based on your specific workflow needs and preferences.

Full Dolphin Mistral 24B (Venice Edition) details →

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FAQ (20)

What GPU do I need to run Dolphin Mistral 24B (Venice Edition)?

To run Dolphin Mistral 24B (Venice Edition), you need a GPU with at least 14.9 GB of VRAM for the lowest quantization level, up to 48.5 GB for the highest.

Is Dolphin Mistral 24B (Venice Edition) good for coding?

Dolphin Mistral 24B (Venice Edition) is well-suited for coding tasks due to its large context length of 32,768 tokens and strong community engagement, making it a reliable choice for code generation and debugging.

Dolphin Mistral 24B (Venice Edition) vs Llama 3.1 8B?

Dolphin Mistral 24B (Venice Edition) has more parameters (24B vs 8B) and a longer context length (32,768 vs typically shorter for Llama 3.1 8B), making it more powerful but requiring more VRAM and computational resources.

Can I run Dolphin Mistral 24B (Venice Edition) on a Mac?

Yes, you can run Dolphin Mistral 24B (Venice Edition) on a Mac with a compatible GPU that meets the VRAM requirements (14.9 GB to 48.5 GB). Ensure your Mac has the necessary drivers and software installed.

How much VRAM does Dolphin Mistral 24B (Venice Edition) need?

Dolphin Mistral 24B (Venice Edition) requires between 14.9 GB and 48.5 GB of VRAM, depending on the quantization level used.

Is Dolphin Mistral 24B (Venice Edition) censored?

No, Dolphin Mistral 24B (Venice Edition) is an uncensored model, allowing for a wide range of content generation without built-in restrictions.

Is Dolphin Mistral 24B (Venice Edition) commercial-use allowed?

Yes, Dolphin Mistral 24B (Venice Edition) is licensed under Apache 2.0, which allows for commercial use as long as you comply with the terms of the license.

Dolphin Mistral 24B (Venice Edition) context length?

Dolphin Mistral 24B (Venice Edition) has a context length of 32,768 tokens, allowing it to process and generate long sequences of text effectively.

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