How much GPU memory does Fara1.5-27B need?

About 65.4 GB for conversations of up to 8,192 tokens: 54.71 GB of weights, the cache for one full-length conversation and the runtime's own memory.

What is the cheapest GPU to run Fara1.5-27B?

Right now one Nvidia A800 at $0.90 an hour; 2x RTX 4090 at $1.16 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can Fara1.5-27B run on an RTX 4090?

Not on one: it needs about 65.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.

How do I deploy Fara1.5-27B 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 / Fara1.5

microsoft/Fara1.5-27B

Vision + text · served with vLLM · ↓ 2.2K downloads a month · View on Hugging Face

microsoft/Fara1.5-27B needs about 65.4 GB of GPU memory for conversations of up to 8,192 tokens. It runs on one Nvidia A800 from $0.90/h right now; best value: 2x RTX 4090 at $1.16/h.

Weights: 55 GB
GPU memory needed: about 65.4 GB
Conversation length: 8,192 tokens
Model allows: 262,144 tokens
Memory · disk: 35.4 GB · 101 GB
Architecture: Qwen3_5ForConditionalGeneration
Licence: mit

Hardware and deploy

Endpoint name

$1.16/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 Fara1.5-27B need?: About 65.4 GB for conversations of up to 8,192 tokens: 54.71 GB of weights, the cache for one full-length conversation and the runtime's own memory.
What is the cheapest GPU to run Fara1.5-27B?: Right now one Nvidia A800 at $0.90 an hour; 2x RTX 4090 at $1.16 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can Fara1.5-27B run on an RTX 4090?: Not on one: it needs about 65.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.
How do I deploy Fara1.5-27B 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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