Llama 3.1 Tulu 3 8B SFT

Name: Llama 3.1 Tulu 3 8B SFT
Author: Allen AI (AI2)

by Allen AI (AI2)Llama 3.1

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

Released November 2024131K context≈ 98,304 words8.0B params

A compact, instruction-following model built on Llama 3.1 that has gone through supervised fine-tuning (SFT) to better follow human directions. At 8B parameters, it handles everyday language tasks with reasonable capability while staying lightweight enough to run locally. It represents an intermediate training stage — the SFT step before any reinforcement learning from human feedback.

Capabilities

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

Long Context

Moderate

Creative Writing

Llama 3.1 Tulu 3 8B SFT

by Allen AI (AI2)Llama 3.1

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

Released November 2024131K context≈ 98,304 words8.0B params

A compact, instruction-following model built on Llama 3.1 that has gone through supervised fine-tuning (SFT) to better follow human directions. At 8B parameters, it handles everyday language tasks with reasonable capability while staying lightweight enough to run locally. It represents an intermediate training stage — the SFT step before any reinforcement learning from human feedback.

Capabilities

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

Long Context

Moderate

Creative Writing

Glossary

Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.Reinforcement LearningA training method where a model learns by receiving rewards or penalties for its outputs, encouraging it to improve its behavior over time.Reinforcement Learning from Human FeedbackA training technique where human evaluators rate model outputs, and the model learns to produce responses that humans prefer.Supervised Fine-tuningTraining a model on labeled examples to adapt it for a specific task or domain.Supervised Fine-tuningAdapting a pre-trained model using labeled examples where the correct outputs are known.

Capabilities

Capabilities

Use Case Fit

Glossary