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 3 GB at 8k, 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 8k context is the NVIDIA Tesla P40, $345 at Amazon, at about 50 tok/s (estimated).
Updated . Speeds are estimates; how they are worked out.
What to run it on in the US
Fully in memory at 8k context, priced at retailers today.
Cheapest
NVIDIA Tesla P4050tok/sest.Q8_0
$345
Best value
NVIDIA GeForce RTX 3080 10GB110tok/sest.Q8_0
$469
Fastest
NVIDIA GeForce RTX 5090259tok/sest.Q8_0
$4,921
Mac
Mac mini M4 16GB18tok/sest.Q8_0
$749
All hardware that runs it
Everything we price, best value first. Two cards split the model by layers.
| Hardware | Quant | Fits | Decode | Price | tok/s per 1,000 |
|---|---|---|---|---|---|
| NVIDIA Tesla P40 | Q8_0 | fits | 50 tok/s | $345 | 144.9 |
| Intel Arc B580 | Q8_0 | fits | 53 tok/s | $346 | 153.5 |
| NVIDIA GeForce RTX 3060 12GB | Q8_0 | fits | 52 tok/s | $360 | 144.4 |
| Intel Arc A770 16GB | Q8_0 | fits | 65 tok/s | $400 | 163.3 |
| NVIDIA GeForce RTX 3080 10GB | Q8_0 | fits | 110 tok/s | $469 | 234.0 |
| AMD Radeon RX 7600 XT | Q8_0 | fits | 37 tok/s | $480 | 76.9 |
| AMD Radeon RX 9060 XT 16GB | Q8_0 | fits | 41 tok/s | $520 | 78.8 |
| AMD Radeon RX 7800 XT | Q8_0 | fits | 80 tok/s | $550 | 145.5 |
| NVIDIA GeForce RTX 5060 Ti 16GB | Q8_0 | fits | 65 tok/s | $618 | 104.7 |
| Intel Arc Pro B60 | Q8_0 | fits | 53 tok/s | $650 | 81.7 |
| NVIDIA GeForce RTX 4070 Super | Q8_0 | fits | 73 tok/s | $699 | 104.1 |
| Mac mini M4 16GB | Q8_0 | fits | 18 tok/s | $749 | 24.3 |
| NVIDIA GeForce RTX 5070 | Q8_0 | fits | 97 tok/s | $750 | 129.5 |
| NVIDIA GeForce RTX 4060 Ti 16GB | Q8_0 | fits | 42 tok/s | $770 | 54.0 |
| AMD Radeon RX 7900 XT | Q8_0 | fits | 103 tok/s | $800 | 128.1 |
| AMD Radeon RX 9070 XT | Q8_0 | fits | 82 tok/s | $815 | 100.6 |
| NVIDIA GeForce RTX 4070 Ti Super | Q8_0 | fits | 97 tok/s | $984 | 98.7 |
| NVIDIA GeForce RTX 5070 Ti | Q8_0 | fits | 130 tok/s | $995 | 130.2 |
| NVIDIA GeForce RTX 4080 Super | Q8_0 | fits | 106 tok/s | $1,199 | 88.7 |
| Mac mini M4 32GB | Q8_0 | fits | 18 tok/s | $1,420 | 12.8 |
| AMD Radeon RX 7900 XTX | Q8_0 | fits | 123 tok/s | $1,533 | 80.3 |
| NVIDIA GeForce RTX 3090 | Q8_0 | fits | 135 tok/s | $1,600 | 84.5 |
| NVIDIA GeForce RTX 5080 | Q8_0 | fits | 139 tok/s | $1,600 | 86.7 |
| AMD Radeon AI PRO R9700 | Q8_0 | fits | 82 tok/s | $1,700 | 48.2 |
| NVIDIA GeForce RTX 3090 Ti | Q8_0 | fits | 146 tok/s | $2,060 | 70.7 |
| NVIDIA GeForce RTX 4090 | Q8_0 | fits | 146 tok/s | $2,073 | 70.3 |
| Mac mini M4 Pro 48GB | Q8_0 | fits | 41 tok/s | $2,149 | 19.3 |
| Mac mini M4 Pro 64GB | Q8_0 | fits | 41 tok/s | $2,900 | 14.3 |
| Mac Studio M4 Max 64GB | Q8_0 | fits | 83 tok/s | $3,400 | 24.3 |
| Framework Desktop Ryzen AI Max+ 395 128GB | Q8_0 | fits | 33 tok/s | $3,449 | 9.5 |
| GMKtec EVO-X2 Ryzen AI Max+ 395 128GB | Q8_0 | fits | 33 tok/s | $3,650 | 9.0 |
| Mac Studio M3 Ultra 96GB | Q8_0 | fits | 124 tok/s | $4,399 | 28.2 |
| NVIDIA GeForce RTX 5090 | Q8_0 | fits | 259 tok/s | $4,921 | 52.6 |
| Mac Studio M4 Max 128GB | Q8_0 | fits | 83 tok/s | $4,999 | 16.5 |
| ASUS Ascent GX10 128GB | Q8_0 | fits | 39 tok/s | $6,100 | 6.5 |
| NVIDIA DGX Spark 128GB | Q8_0 | fits | 39 tok/s | $7,399 | 5.3 |
| NVIDIA RTX PRO 6000 Blackwell | Q8_0 | fits | 259 tok/s | $7,997 | 32.4 |
| Mac Studio M3 Ultra 256GB | Q8_0 | fits | 124 tok/s | $8,499 | 14.6 |
| Mac Studio M3 Ultra 512GB | Q8_0 | fits | 124 tok/s | $23,000 | 5.4 |
| Framework Desktop Ryzen AI Max+ 395 64GB | Q8_0 | fits | 33 tok/s | – | – |
Memory needed
Weights, KV cache and runtime buffers at each context length (KV cache at fp16).
| Quant | File | @8k | @32k | @64k | @128k |
|---|---|---|---|---|---|
| Q4_K_Mgguf | 2.0 GB | 3.3 GB | 5.3 GB | 8.0 GB | 13.4 GB |
| Q5_K_Mgguf | 2.3 GB | 3.6 GB | 5.7 GB | 8.3 GB | 13.7 GB |
| Q8_0gguf | 3.4 GB | 4.7 GB | 6.8 GB | 9.4 GB | 14.8 GB |
Run it
Copy a command for the runtime you use.
- Q4_K_M
- Ollama
ollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q4_K_M - LM Studio
lms get ibm-granite/granite-vision-4.1-4b-GGUF@q4_k_m - llama.cpp
llama-server -hf ibm-granite/granite-vision-4.1-4b-GGUF:Q4_K_M
- Ollama
- Q5_K_M
- Ollama
ollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q5_K_M - LM Studio
lms get ibm-granite/granite-vision-4.1-4b-GGUF@q5_k_m - llama.cpp
llama-server -hf ibm-granite/granite-vision-4.1-4b-GGUF:Q5_K_M
- Ollama
- Q8_0
- Ollama
ollama run hf.co/ibm-granite/granite-vision-4.1-4b-GGUF:Q8_0 - LM Studio
lms get ibm-granite/granite-vision-4.1-4b-GGUF@q8_0 - llama.cpp
llama-server -hf ibm-granite/granite-vision-4.1-4b-GGUF:Q8_0
- Ollama
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 3 GB at 8k, 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 8k context is the NVIDIA Tesla P40, $345 at Amazon, at about 50 tok/s (estimated). The best value is the NVIDIA GeForce RTX 3080 10GB (about 110 tok/s for $469). The fastest we price is the NVIDIA GeForce RTX 5090, at about 259 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 8k context. On the NVIDIA GeForce RTX 5080 it runs at about 139 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 8k context. On the NVIDIA GeForce RTX 3090 Ti it runs at about 146 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.