Can RTX 4060 Ti 16GB run CogVideoX 5B?
Yes — runs locally
~65 tok/sec · Instant — feels like typing. No noticeable delay.
The verdict
The RTX 4060 Ti 16GB (16 GB VRAM) handles CogVideoX 5B comfortably using the FP16 quantization, which fits in 16.0 GB. Expected throughput is around 65 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. 5 B text-to-video. ~12 GB at Q8. Strong fit for 16-24 GB consumer GPUs.
How to run it
- 1. Install Ollama or LM Studio.
- 2. Pull the
FP16GGUF — best balance of quality and speed on 16 GB. - 3. Start chatting. Expect ~65 tok/sec on first-token, faster after warmup.
Other models that run great on RTX 4060 Ti 16GB
FAQ (20)
What GPU do I need to run CogVideoX 5B?
To run CogVideoX 5B, you need a GPU with at least 16 GB of VRAM, such as an NVIDIA RTX 3070 or higher.
Is CogVideoX 5B good for coding?
CogVideoX 5B is primarily designed for generating videos from text, not for coding tasks. It may not be suitable for code generation or completion.
CogVideoX 5B vs Llama 3.1 8B?
CogVideoX 5B is a 5 billion parameter text-to-video model, while Llama 3.1 8B is a smaller, text-based model. CogVideoX 5B excels in video generation, whereas Llama 3.1 8B is better suited for text-based tasks.
Can I run CogVideoX 5B on a Mac?
Yes, you can run CogVideoX 5B on a Mac with a compatible GPU that has at least 16 GB of VRAM, such as the AMD Radeon Pro W6800X or NVIDIA RTX 3070.
How much VRAM does CogVideoX 5B need?
CogVideoX 5B requires at least 16 GB of VRAM to run efficiently, with the exact amount depending on the quantization level used.
Is CogVideoX 5B censored?
CogVideoX 5B is not inherently censored, but its outputs can be filtered or controlled using safety mechanisms implemented by the user or the platform running the model.
Is CogVideoX 5B commercial-use allowed?
Yes, CogVideoX 5B is licensed under the Apache-2.0 license, which allows for commercial use as long as you comply with the terms of the license.
CogVideoX 5B context length?
The context length for CogVideoX 5B is currently unknown, but it is designed to handle longer sequences for video generation tasks.
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