How much GPU memory does gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 need?

About 32.4 GB for conversations of up to 8,192 tokens: 23.92 GB of weights, the cache for one full-length conversation and the runtime's own memory.

What is the cheapest GPU to run gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2?

Right now 4x RTX 3060 at $0.43 an hour; 4x RTX 5060 Ti at $0.58 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 run on an RTX 4090?

Not on one: it needs about 32.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.

How do I deploy gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 as an API?

Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.

Models / gemma-4

yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2

Text generation · served with vLLM · ↓ 827 downloads a month · View on Hugging Face

yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 needs about 32.4 GB of GPU memory for conversations of up to 8,192 tokens. It runs on 4x RTX 3060 from $0.43/h right now; best value: 4x RTX 5060 Ti at $0.58/h.

Weights: 24 GB
GPU memory needed: about 32.4 GB
Conversation length: 8,192 tokens
Model allows: 262,144 tokens
Memory · disk: 20 GB · 67 GB
Architecture: Gemma4UnifiedForConditionalGeneration
Licence: apache-2.0

Hardware and deploy

Endpoint name

$0.58/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.

Questions

How much GPU memory does gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 need?: About 32.4 GB for conversations of up to 8,192 tokens: 23.92 GB of weights, the cache for one full-length conversation and the runtime's own memory.
What is the cheapest GPU to run gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2?: Right now 4x RTX 3060 at $0.43 an hour; 4x RTX 5060 Ti at $0.58 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 run on an RTX 4090?: Not on one: it needs about 32.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.
How do I deploy gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 as an API?: Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.

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yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2

Text generation · served with vLLM · ↓ 827 downloads a month · View on Hugging Face

Weights

24 GB

GPU memory needed

about 32.4 GB

Conversation length

8,192 tokens

Model allows

262,144 tokens

Memory · disk

20 GB · 67 GB

Architecture

Gemma4UnifiedForConditionalGeneration

Licence

apache-2.0

Hardware and deploy

Endpoint name

Questions

How much GPU memory does gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 need?: About 32.4 GB for conversations of up to 8,192 tokens: 23.92 GB of weights, the cache for one full-length conversation and the runtime's own memory.
What is the cheapest GPU to run gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2?: Right now 4x RTX 3060 at $0.43 an hour; 4x RTX 5060 Ti at $0.58 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 run on an RTX 4090?: Not on one: it needs about 32.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.
How do I deploy gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 as an API?: Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.