ComfyUI-Qwen3-llama.cpp

By pictorialinkView on GitHub →

Custom nodes for ComfyUI QWen3 8b running based on llama.cpp, which only support the CUDA framework and do not support MPS.

How much VRAM does ComfyUI-Qwen3-llama.cpp require?

Direct Answer: The ComfyUI node ComfyUI-Qwen3-llama.cpp requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

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Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

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What Python packages are required for ComfyUI-Qwen3-llama.cpp?

Direct Answer: Running ComfyUI-Qwen3-llama.cpp requires installing the following Python package dependencies: huggingface_hub, llama-cpp-python, nvidia-ml-py, qwen_vl_utils, torch, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
huggingface_hub
llama-cpp-python
nvidia-ml-py
qwen_vl_utils
torch
transformers

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

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AniTalker-ComfyUI
by AIFSH128MB VRAM
AntiMatter Nodes
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Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Qwen3-llama.cpp require?

ComfyUI-Qwen3-llama.cpp requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-Qwen3-llama.cpp on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI-Qwen3-llama.cpp need?

ComfyUI-Qwen3-llama.cpp requires the following PyTorch-related packages: torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI-Qwen3-llama.cpp?

To run ComfyUI-Qwen3-llama.cpp, you need to install: huggingface_hub, llama-cpp-python, nvidia-ml-py, qwen_vl_utils, torch, transformers. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-Qwen3-llama.cpp in ComfyUI?

To install ComfyUI-Qwen3-llama.cpp: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/pictorialink/ComfyUI-Qwen3-llama.cpp, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.