Can RTX 3070 run Magnum v4 22B?
Yes — runs locally
~0 tok/sec · Cannot run — insufficient VRAM
The verdict
The RTX 3070 (8 GB VRAM) handles Magnum v4 22B comfortably using the Q4_K_M quantization, which fits in 12.9 GB. Expected throughput is around 0 tokens/second, which feels Cannot run — insufficient VRAM in interactive use. Mistral-Small-22B base, Anthracite's Claude-style prose training. Sits between 12B and 70B — for users who want Magnum quality on a single 24GB card.
How to run it
- 1. Install Ollama or LM Studio.
- 2. Pull the
Q4_K_MGGUF — best balance of quality and speed on 8 GB. - 3. Start chatting. Expect ~0 tok/sec on first-token, faster after warmup.
Other models that run great on RTX 3070
FAQ (20)
What GPU do I need to run Magnum v4 22B?
To run Magnum v4 22B, you need a GPU with at least 12.9 GB of VRAM, but 24 GB or more is recommended for smoother performance.
Is Magnum v4 22B good for coding?
Magnum v4 22B is well-suited for coding tasks due to its large context length of 32,768 tokens and its ability to generate detailed and contextually rich code snippets.
Magnum v4 22B vs Llama 3.1 8B?
Magnum v4 22B has more parameters (22B vs 8B), a longer context length (32,768 vs typically 2,048), and generally provides more detailed and nuanced responses compared to Llama 3.1 8B.
Can I run Magnum v4 22B on a Mac?
Yes, you can run Magnum v4 22B on a Mac, but you will need a compatible GPU with sufficient VRAM and the necessary drivers and software environment set up.
How much VRAM does Magnum v4 22B need?
Magnum v4 22B requires between 12.9 GB and 44.5 GB of VRAM, depending on the quantization level used.
Is Magnum v4 22B censored?
Magnum v4 22B is not explicitly censored, but it may have content filters in place to prevent harmful or inappropriate content generation.
Is Magnum v4 22B commercial-use allowed?
The license for Magnum v4 22B is marked as 'other,' so you should check the specific terms provided by Anthracite for commercial use permissions.
Magnum v4 22B context length?
Magnum v4 22B has a context length of 32,768 tokens, allowing it to handle very long inputs and maintain context over extensive conversations.
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