Can M4 Pro run Dolphin Mistral 24B (Venice Edition)?
Yes — runs locally
~17 tok/sec · Good — slight pause, then text streams smoothly.
The verdict
The M4 Pro (48 GB VRAM) handles Dolphin Mistral 24B (Venice Edition) comfortably using the Q4_K_M quantization, which fits in 14.9 GB. Expected throughput is around 17 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 Pro
AI-generated, GPU-specific. Verified commands for your exact hardware.
Run Dolphin Mistral 24B (Venice Edition) on an Apple M4 Pro with Q4_K_M quantization for Grade S performance at ~43 tok/sec.
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 Q4_K_M quantization, you can expect ~43 tok/sec performance while using approximately 14.9GB of VRAM. This leaves you with 33.1GB of VRAM headroom for context, allowing for a practical context window of up to 32768 tokens.
1. Install runtimeOllama (preferred on Apple Silicon)
brew install ollama
ollama init2. Download the model
Download the Q4_K_M quantized version of the model (14.4GB file) from Hugging Face.
ollama pull bartowski/Dolphin-Mistral-24B-Venice-Edition-GGUF:Dolphin-Mistral-24B-Venice-Edition-Q4_K_M.gguf3. Run it
ollama run Dolphin-Mistral-24B-Venice-Edition-Q4_K_M
ollama chat --model Dolphin-Mistral-24B-Venice-Edition-Q4_K_M4. Optimize for M4 Pro
For optimal performance on the Apple M4 Pro, leverage the Metal/MLX backend to utilize the 48GB VRAM effectively. The unified memory architecture allows for efficient data transfer between CPU and GPU. Ensure that MPS layers are enabled to take full advantage of the GPU's capabilities.
Troubleshooting
Low token generation speed
Ensure that the Metal/MLX backend is properly configured and that MPS layers are enabled. You can check this by running `ollama info`.
Out of memory errors
Reduce the batch size or context length to fit within the available 48GB VRAM. Adjust the context length using the `--context-length` flag in the `ollama run` command.
Model not found
Verify that the model was successfully downloaded and is listed in `ollama list`. If not, re-run the `ollama pull` command.
Alternative runtimes
While Ollama is the preferred runtime for Apple Silicon, you can also use LM Studio, llama.cpp, or MLX for different use cases. LM Studio provides a graphical interface, llama.cpp offers more fine-grained control over quantization, and MLX is useful for integrating the model into custom applications. Choose based on your specific needs and preferences.
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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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