granite 3.1 8b instruct

Name: granite 3.1 8b instruct
Author: IBM

by IBMGranite

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released December 2024131K context≈ 98,304 words8.2B params

Granite 3.1 8B Instruct is IBM's compact instruction-following model that punches reasonably well for its size, handling structured tasks like summarization, classification, and Q&A with a businesslike directness. It reflects IBM's enterprise focus — tending toward clear, grounded responses rather than creative flourishes. At 8B parameters, it fits comfortably on consumer hardware but will show its limits on complex multi-step reasoning.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Strong

Long Context

granite 3.1 8b instruct

by IBMGranite

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released December 2024131K context≈ 98,304 words8.2B params

Granite 3.1 8B Instruct is IBM's compact instruction-following model that punches reasonably well for its size, handling structured tasks like summarization, classification, and Q&A with a businesslike directness. It reflects IBM's enterprise focus — tending toward clear, grounded responses rather than creative flourishes. At 8B parameters, it fits comfortably on consumer hardware but will show its limits on complex multi-step reasoning.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Strong

Long Context

Glossary

ClassificationA machine learning task where the model assigns input data to predefined categories or labels.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.Multi-Step ReasoningThe ability to break down complex problems into smaller steps and solve them sequentially, rather than jumping directly to an answer.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.

granite 3.1 8b instruct

Capabilities

granite 3.1 8b instruct

Capabilities

Benchmark Scores

Use Case Fit

Glossary