~/runthismodel
daemon okbuild 5a3c91d00:00:00Z

Can RTX 4080 SUPER run CodeGemma 7B?

S

Yes — runs locally

~78 tok/sec · Instant — feels like typing. No noticeable delay.

Your VRAM
16 GB
Model size
8.5B
Best quant
Q8_0
VRAM needed
8.9 GB

The verdict

The RTX 4080 SUPER (16 GB VRAM) handles CodeGemma 7B comfortably using the Q8_0 quantization, which fits in 8.9 GB. Expected throughput is around 78 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Google's instruction-tuned code model. Strong code generation and understanding.

How to run it

  1. 1. Install Ollama or LM Studio.
  2. 2. Pull the Q8_0 GGUF — best balance of quality and speed on 16 GB.
  3. 3. Start chatting. Expect ~78 tok/sec on first-token, faster after warmup.

Other models that run great on RTX 4080 SUPER

FAQ (20)

What GPU do I need to run CodeGemma 7B?

To run CodeGemma 7B, you need a GPU with at least 5.5 GB of VRAM for the lowest quantization level, up to 8.9 GB for higher precision levels.

Is CodeGemma 7B good for coding?

Yes, CodeGemma 7B is specifically designed for code generation and understanding, making it highly effective for coding tasks.

CodeGemma 7B vs Llama 3.1 8B?

CodeGemma 7B is optimized for code-related tasks, while Llama 3.1 8B is more general-purpose. CodeGemma 7B has a larger context length of 8192 tokens compared to Llama 3.1 8B's 2048 tokens.

Can I run CodeGemma 7B on a Mac?

Yes, you can run CodeGemma 7B on a Mac with a compatible GPU and sufficient VRAM. Ensure your Mac meets the minimum VRAM requirements and has the necessary drivers installed.

How much VRAM does CodeGemma 7B need?

CodeGemma 7B requires between 5.5 GB and 8.9 GB of VRAM, depending on the quantization level used.

Is CodeGemma 7B censored?

No, CodeGemma 7B is not censored. However, it adheres to ethical guidelines and may have content filters to prevent harmful outputs.

Is CodeGemma 7B commercial-use allowed?

Yes, CodeGemma 7B is licensed under the Gemma license, which allows commercial use as long as you comply with the terms of the license.

CodeGemma 7B context length?

CodeGemma 7B has a context length of 8192 tokens, allowing it to handle longer sequences of code or text.

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