granite 4.2 3b
3.7B parameters · 128k context · Apache 2.0 · released 2026-08-25
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In short
granite 4.2 3b is an open model from IBM with 3.7B parameters. At Q4_K_M, granite 4.2 3b needs about 4 GB of memory at 8k context and 14 GB at 128k, counting the weights, the KV cache and runtime buffers. The cheapest hardware in the UK that runs granite 4.2 3b fully in memory at 128k context is the NVIDIA GeForce RTX 5060 Ti 16GB, £550 at eBay, at about 19 tok/s (estimated).
Updated . Speeds are estimates; how they are worked out.
What to run it on in the UK
Fully in memory at 128k context, priced at retailers today.
Cheapest
NVIDIA GeForce RTX 5060 Ti 16GB19tok/sest.Q8_0
£550
Best value
AMD Radeon RX 7800 XT24tok/sest.Q8_0
£568
Fastest
NVIDIA GeForce RTX 509076tok/sest.Q8_0
£5,000
Mac
Mac Studio M4 Max 64GB24tok/sest.Q8_0
£3,399
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 | 15 tok/s | £261 | 56.4 |
| AMD Radeon RX 7600 XT | Q8_0 | fits | 11 tok/s | £348 | 31.0 |
| AMD Radeon RX 9060 XT 16GB | Q8_0 | fits | 12 tok/s | £499 | 24.1 |
| NVIDIA GeForce RTX 5060 Ti 16GB | Q8_0 | fits | 19 tok/s | £550 | 34.5 |
| AMD Radeon RX 7800 XT | Q8_0 | fits | 24 tok/s | £568 | 41.4 |
| Intel Arc A770 16GB | Q8_0 | fits | 19 tok/s | £588 | 32.5 |
| AMD Radeon RX 9070 XT | Q8_0 | fits | 24 tok/s | £670 | 36.0 |
| Intel Arc Pro B60 | Q8_0 | fits | 16 tok/s | £742 | 21.0 |
| AMD Radeon RX 7900 XT | Q8_0 | fits | 30 tok/s | £789 | 38.1 |
| NVIDIA GeForce RTX 4070 Ti Super | Q8_0 | fits | 29 tok/s | £950 | 30.0 |
| NVIDIA GeForce RTX 5070 Ti | Q8_0 | fits | 38 tok/s | £975 | 39.0 |
| NVIDIA GeForce RTX 4060 Ti 16GB | Q8_0 | fits | 12 tok/s | £977 | 12.5 |
| AMD Radeon RX 7900 XTX | Q8_0 | fits | 36 tok/s | £999 | 36.1 |
| NVIDIA GeForce RTX 5080 | Q8_0 | fits | 41 tok/s | £1,199 | 33.9 |
| Mac mini M4 32GB | Q8_0 | fits | 5 tok/s | £1,200 | 4.4 |
| NVIDIA GeForce RTX 4080 Super | Q8_0 | fits | 31 tok/s | £1,429 | 21.8 |
| AMD Radeon AI PRO R9700 | Q8_0 | fits | 24 tok/s | £1,674 | 14.4 |
| NVIDIA GeForce RTX 3090 | Q8_0 | fits | 40 tok/s | £1,707 | 23.3 |
| NVIDIA GeForce RTX 3090 Ti | Q8_0 | fits | 43 tok/s | £2,199 | 19.4 |
| Mac mini M4 Pro 48GB | Q8_0 | fits | 12 tok/s | £3,000 | 4.0 |
| GMKtec EVO-X2 Ryzen AI Max+ 395 128GB | Q8_0 | fits | 10 tok/s | £3,320 | 2.9 |
| Mac Studio M4 Max 64GB | Q8_0 | fits | 24 tok/s | £3,399 | 7.1 |
| NVIDIA GeForce RTX 5090 | Q8_0 | fits | 76 tok/s | £5,000 | 15.2 |
| Mac Studio M3 Ultra 96GB | Q8_0 | fits | 36 tok/s | £5,499 | 6.6 |
| NVIDIA GeForce RTX 4090 | Q8_0 | fits | 43 tok/s | £6,015 | 7.1 |
| Mac Studio M3 Ultra 256GB | Q8_0 | fits | 36 tok/s | £8,499 | 4.3 |
| Mac Studio M3 Ultra 512GB | Q8_0 | fits | 36 tok/s | £17,495 | 2.1 |
| NVIDIA RTX PRO 6000 Blackwell | Q8_0 | fits | 76 tok/s | £29,504 | 2.6 |
| Mac Studio M4 Max 128GB | Q8_0 | fits | 24 tok/s | – | – |
| Mac mini M4 Pro 64GB | Q8_0 | fits | 12 tok/s | – | – |
| Framework Desktop Ryzen AI Max+ 395 128GB | Q8_0 | fits | 10 tok/s | – | – |
| NVIDIA DGX Spark 128GB | Q8_0 | fits | 12 tok/s | – | – |
| ASUS Ascent GX10 128GB | Q8_0 | fits | 12 tok/s | – | – |
| Framework Desktop Ryzen AI Max+ 395 64GB | Q8_0 | fits | 10 tok/s | – | – |
| Intel Arc B580 | Q4_K_M | offload | 11 tok/s | £349 | 30.1 |
| NVIDIA GeForce RTX 3060 12GB | Q4_K_M | offload | 11 tok/s | £390 | 27.9 |
| NVIDIA GeForce RTX 3080 10GB | Q4_K_M | offload | 10 tok/s | £466 | 21.0 |
| NVIDIA GeForce RTX 5070 | Q4_K_M | offload | 14 tok/s | £695 | 20.6 |
| NVIDIA GeForce RTX 4070 Super | Q4_K_M | offload | 13 tok/s | £874 | 14.7 |
1 other card or machine we price cannot hold it at this context.
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 | 2.2 GB | 3.5 GB | 5.5 GB | 8.2 GB | 13.6 GB |
| Q5_K_Mgguf | 2.5 GB | 3.9 GB | 5.9 GB | 8.6 GB | 13.9 GB |
| Q6_Kgguf | 2.9 GB | 4.3 GB | 6.3 GB | 9.0 GB | 14.4 GB |
| Q8_0gguf | 3.6 GB | 5.0 GB | 7.0 GB | 9.7 GB | 15.1 GB |
Run it
Copy a command for the runtime you use.
- Q4_K_M
- Ollama
ollama run hf.co/bartowski/granite-4.2-3b-GGUF:Q4_K_M - LM Studio
lms get bartowski/granite-4.2-3b-GGUF@q4_k_m - llama.cpp
llama-server -hf bartowski/granite-4.2-3b-GGUF:Q4_K_M
- Ollama
- Q5_K_M
- Ollama
ollama run hf.co/bartowski/granite-4.2-3b-GGUF:Q5_K_M - LM Studio
lms get bartowski/granite-4.2-3b-GGUF@q5_k_m - llama.cpp
llama-server -hf bartowski/granite-4.2-3b-GGUF:Q5_K_M
- Ollama
- Q6_K
- Ollama
ollama run hf.co/bartowski/granite-4.2-3b-GGUF:Q6_K - LM Studio
lms get bartowski/granite-4.2-3b-GGUF@q6_k - llama.cpp
llama-server -hf bartowski/granite-4.2-3b-GGUF:Q6_K
- Ollama
- Q8_0
- Ollama
ollama run hf.co/bartowski/granite-4.2-3b-GGUF:Q8_0 - LM Studio
lms get bartowski/granite-4.2-3b-GGUF@q8_0 - llama.cpp
llama-server -hf bartowski/granite-4.2-3b-GGUF:Q8_0
- Ollama
Notes
Native context is 128K, and the card also claims a long-context extension to 512K; its serving examples use 131072. The vLLM reasoning parser needs vLLM v0.20+ (or SGLang v0.5.18+), and the recommended sampling is temperature=1.0 and top_p=0.95.
Questions
- How much VRAM does granite 4.2 3b need?
- At Q4_K_M, granite 4.2 3b needs about 4 GB of memory at 8k context and 14 GB at 128k, counting the weights, the KV cache and runtime buffers.
- What is the best GPU for running granite 4.2 3b locally?
- The cheapest hardware in the UK that runs granite 4.2 3b fully in memory at 128k context is the NVIDIA GeForce RTX 5060 Ti 16GB, £550 at eBay, at about 19 tok/s (estimated). The best value is the AMD Radeon RX 7800 XT (about 24 tok/s for £568). The fastest we price is the NVIDIA GeForce RTX 5090, at about 76 tok/s.
- Can I run granite 4.2 3b on a 16 GB GPU?
- Yes: at Q8_0 it fits fully in 16 GB at 128k context. On the NVIDIA GeForce RTX 5080 it runs at about 41 tok/s (estimated).
- Can I run granite 4.2 3b on a 24 GB GPU?
- Yes: at Q8_0 it fits fully in 24 GB at 128k context. On the NVIDIA GeForce RTX 3090 Ti it runs at about 43 tok/s (estimated).
- How do I run granite 4.2 3b locally?
- With Ollama: ollama run hf.co/bartowski/granite-4.2-3b-GGUF:Q4_K_M (the Q4_K_M build). LM Studio and llama.cpp commands are on this page.
- What licence is granite 4.2 3b released under?
- Apache 2.0, which allows commercial use.