Granite 4.2 8B
Parameters
8B
Context Length
131K
Modality
Reasoning
Architecture
Dense
License
Apache 2.0
Release Date
7 Aug 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $0.06 · Output: $0.25
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
131,072 tokens
Consumer
2x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#153
| Benchmark | Score | Rank |
|---|---|---|
Professional Knowledge | 0.74 | 39 |
Graduate-Level QA | 0.641 | 94 |
Agentic Index | 0.01 | 108 |
Coding Index | 0.22 | 128 |
General Text | 1290 | 169 |
Intelligence Index | 0.11 | 250 |
Rankings
Overall Rank
#153
Coding Rank
#133
About Granite 4.2 8B
Granite 4.2 8B is a dense reasoning model developed by IBM for enterprise and multi-step reasoning applications. It is tailored for mathematics, code generation, multilingual dialogue, and agentic workflows.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
32
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
10,000,000
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
4,096
Number of Layers
40
FFN Intermediate Size (Dense)
12,800
Tokenizer
Vocabulary Size
100,352
Resources
About Granite
The Granite model family developed by IBM.
Other Granite Models
- No related models available