granite vision 4.1 4b

4B parameters · 128k context · Apache 2.0 · released 2026-04-29

vision

In short

granite vision 4.1 4b is an open model from IBM with 4B parameters. At Q4_K_M, granite vision 4.1 4b needs about 3 GB of memory at 8k context and 8 GB at 64k, counting the weights, the KV cache and runtime buffers. The cheapest hardware in the US that runs granite vision 4.1 4b fully in memory at 64k context is the NVIDIA Tesla P40, $345 at Amazon, at about 24 tok/s (estimated).

Updated . Speeds are estimates; how they are worked out.

What to run it on in the US

Fully in memory at 64k context, priced at retailers today.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

HardwareQuantFitsDecodePricetok/s per 1,000
NVIDIA Tesla P40Q8_0fits24 tok/s$34569.3
Intel Arc B580Q8_0fits25 tok/s$34673.4
NVIDIA GeForce RTX 3060 12GBQ8_0fits25 tok/s$36068.9
Intel Arc A770 16GBQ8_0fits31 tok/s$40078.0
NVIDIA GeForce RTX 3080 10GBQ5_K_Mfits60 tok/s$469128.7
AMD Radeon RX 7600 XTQ8_0fits18 tok/s$48036.7
AMD Radeon RX 9060 XT 16GBQ8_0fits20 tok/s$52037.7
AMD Radeon RX 7800 XTQ8_0fits38 tok/s$55069.5
NVIDIA GeForce RTX 5060 Ti 16GBQ8_0fits31 tok/s$61850.0
Intel Arc Pro B60Q8_0fits25 tok/s$65039.1
NVIDIA GeForce RTX 4070 SuperQ8_0fits35 tok/s$69949.8
Mac mini M4 16GBQ8_0fits9 tok/s$74911.6
NVIDIA GeForce RTX 5070Q8_0fits46 tok/s$75061.9
NVIDIA GeForce RTX 4060 Ti 16GBQ8_0fits20 tok/s$77025.8
AMD Radeon RX 7900 XTQ8_0fits49 tok/s$80061.3
AMD Radeon RX 9070 XTQ8_0fits39 tok/s$81548.1
NVIDIA GeForce RTX 4070 Ti SuperQ8_0fits46 tok/s$98447.2
NVIDIA GeForce RTX 5070 TiQ8_0fits62 tok/s$99562.1
NVIDIA GeForce RTX 4080 SuperQ8_0fits51 tok/s$1,19942.4
Mac mini M4 32GBQ8_0fits9 tok/s$1,4206.1
AMD Radeon RX 7900 XTXQ8_0fits59 tok/s$1,53338.3
NVIDIA GeForce RTX 3090Q8_0fits65 tok/s$1,60040.4
NVIDIA GeForce RTX 5080Q8_0fits66 tok/s$1,60041.4
AMD Radeon AI PRO R9700Q8_0fits39 tok/s$1,70023.1
NVIDIA GeForce RTX 3090 TiQ8_0fits70 tok/s$2,06033.7
NVIDIA GeForce RTX 4090Q8_0fits70 tok/s$2,07333.5
Mac mini M4 Pro 48GBQ8_0fits20 tok/s$2,1499.2
Mac mini M4 Pro 64GBQ8_0fits20 tok/s$2,9006.8
Mac Studio M4 Max 64GBQ8_0fits40 tok/s$3,40011.6
Framework Desktop Ryzen AI Max+ 395 128GBQ8_0fits16 tok/s$3,4494.6
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBQ8_0fits16 tok/s$3,6504.3
Mac Studio M3 Ultra 96GBQ8_0fits59 tok/s$4,39913.5
NVIDIA GeForce RTX 5090Q8_0fits124 tok/s$4,92125.1
Mac Studio M4 Max 128GBQ8_0fits40 tok/s$4,9997.9
ASUS Ascent GX10 128GBQ8_0fits19 tok/s$6,1003.1
NVIDIA DGX Spark 128GBQ8_0fits19 tok/s$7,3992.5
NVIDIA RTX PRO 6000 BlackwellQ8_0fits124 tok/s$7,99715.5
Mac Studio M3 Ultra 256GBQ8_0fits59 tok/s$8,4997.0
Mac Studio M3 Ultra 512GBQ8_0fits59 tok/s$23,0002.6
Framework Desktop Ryzen AI Max+ 395 64GBQ8_0fits16 tok/s––

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile@8k@32k@64k@128k
Q4_K_Mgguf2.0 GB3.3 GB5.3 GB8.0 GB13.4 GB
Q5_K_Mgguf2.3 GB3.6 GB5.7 GB8.3 GB13.7 GB
Q8_0gguf3.4 GB4.7 GB6.8 GB9.4 GB14.8 GB

Run it

Copy a command for the runtime you use.

  • Q4_K_M
    • Ollamaollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q4_K_M
    • LM Studiolms get ibm-granite/granite-vision-4.1-4b-GGUF@q4_k_m
    • llama.cppllama-server -hf ibm-granite/granite-vision-4.1-4b-GGUF:Q4_K_M
  • Q5_K_M
    • Ollamaollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q5_K_M
    • LM Studiolms get ibm-granite/granite-vision-4.1-4b-GGUF@q5_k_m
    • llama.cppllama-server -hf ibm-granite/granite-vision-4.1-4b-GGUF:Q5_K_M
  • Q8_0
    • Ollamaollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q8_0
    • LM Studiolms get ibm-granite/granite-vision-4.1-4b-GGUF@q8_0
    • llama.cppllama-server -hf ibm-granite/granite-vision-4.1-4b-GGUF:Q8_0

Notes

Specialised for chart, table and key-value extraction from documents; may not generalise well to open-ended vision tasks and is English-only. Requires transformers>=5.8.0 (or trust_remote_code on older versions) or vLLM>=0.21.0.

Questions

How much VRAM does granite vision 4.1 4b need?
At Q4_K_M, granite vision 4.1 4b needs about 3 GB of memory at 8k context and 8 GB at 64k, counting the weights, the KV cache and runtime buffers.
What is the best GPU for running granite vision 4.1 4b locally?
The cheapest hardware in the US that runs granite vision 4.1 4b fully in memory at 64k context is the NVIDIA Tesla P40, $345 at Amazon, at about 24 tok/s (estimated). The best value is the NVIDIA GeForce RTX 3080 10GB (about 60 tok/s for $469). The fastest we price is the NVIDIA GeForce RTX 5090, at about 124 tok/s.
Can I run granite vision 4.1 4b on a 16 GB GPU?
Yes: at Q8_0 it fits fully in 16 GB at 64k context. On the NVIDIA GeForce RTX 5080 it runs at about 66 tok/s (estimated).
Can I run granite vision 4.1 4b on a 24 GB GPU?
Yes: at Q8_0 it fits fully in 24 GB at 64k context. On the NVIDIA GeForce RTX 3090 Ti it runs at about 70 tok/s (estimated).
How do I run granite vision 4.1 4b locally?
With Ollama: ollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q4_K_M (the Q4_K_M build). LM Studio and llama.cpp commands are on this page.
What licence is granite vision 4.1 4b released under?
Apache 2.0, which allows commercial use.