Llama 3 Patronus Lynx 8B Instruct v1.1

Name: Llama 3 Patronus Lynx 8B Instruct v1.1
Author: Meta AI

by Meta AILlama 3

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

Released July 2024131K context≈ 98,304 words8B params

Lynx is a focused specialist built for RAG evaluation and hallucination detection — it excels at judging whether a model's answer is actually grounded in the provided context. It operates with a critical eye, flagging unsupported claims rather than generating creative content. At 8B parameters, it trades broad general capability for precision in this narrow but important verification task.

Capabilities

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

Long Context

Moderate

Instruction Following

Llama 3 Patronus Lynx 8B Instruct v1.1

by Meta AILlama 3

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

Released July 2024131K context≈ 98,304 words8B params

Lynx is a focused specialist built for RAG evaluation and hallucination detection — it excels at judging whether a model's answer is actually grounded in the provided context. It operates with a critical eye, flagging unsupported claims rather than generating creative content. At 8B parameters, it trades broad general capability for precision in this narrow but important verification task.

Capabilities

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

Long Context

Moderate

Instruction Following

Glossary

HallucinationWhen a model generates plausible-sounding but factually incorrect or fabricated information.Hallucination DetectionThe ability to identify when a model generates false or unsupported information that isn't grounded in the provided source material.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.RAGRetrieval-Augmented Generation — a technique that grounds model responses in retrieved documents to improve accuracy.VerificationThe process of checking whether claims, proofs, or experimental results are correct and logically sound.

Capabilities

Capabilities

Use Case Fit

Glossary