IBM
Granite 3.3 8B
IBM's 8B instruction model. Enterprise quality.
About This Model
Granite 3.3 8B is an 8 billion parameter language model developed by IBM, designed for robust text generation tasks. With a context length of 8192 tokens, it excels in handling long-form content creation, summarization, and conversational applications. The model’s architecture is optimized for efficiency, making it a strong contender in its size class. It offers a balance between performance and resource consumption, which is particularly beneficial for users with moderate hardware setups. Compared to other models in the same parameter range, Granite 3.3 8B punches above its weight in terms of both quality and efficiency. It delivers high-quality outputs while requiring less VRAM, ranging from 5.1 to 8.6 GB, which is more accessible for a broader range of users.
Ideal for developers, researchers, and businesses looking to deploy a powerful yet efficient language model locally, Granite 3.3 8B is suitable for a variety of applications, from content generation and chatbots to document summarization and translation. The model’s availability in quantized formats (Q4_K_M, Q8_0) further enhances its accessibility, allowing it to run smoothly on a wide range of hardware, including GPUs with limited VRAM. Users with mid-range GPUs and a few gigabytes of VRAM can confidently deploy this model without significant performance degradation.
Check Your Hardware
See which quantizations of Granite 3.3 8B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 4.603 GB | 5.1 GB | 5.6 GB | 85% |
| Q8_0 | 8 | 8.088 GB | 8.59 GB | 9.09 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Granite 3.3 8B?
Granite 3.3 8B requires 5.1GB VRAM minimum with Q4_K_M quantization. For full precision, you need 8.59GB VRAM.
What is the best quantization for Granite 3.3 8B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.