Hermes 2 Pro Llama 3 8B

Name: Hermes 2 Pro Llama 3 8B
Author: Nous Research

by Nous ResearchMeta

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

Released April 20248K context≈ 6,144 words8.0B params

A compact, function-calling specialist built on Meta's Llama 3 foundation and fine-tuned by NousResearch. It punches above its weight class for structured output tasks — JSON generation, tool use, and agentic workflows feel natural rather than forced. At 8B parameters it has real limits on complex multi-step reasoning, but for its size it handles instruction-following with notable consistency.

Capabilities

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

Reasoning & Logic

Moderate

Long Context

Hermes 2 Pro Llama 3 8B

by Nous ResearchMeta

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

Released April 20248K context≈ 6,144 words8.0B params

A compact, function-calling specialist built on Meta's Llama 3 foundation and fine-tuned by NousResearch. It punches above its weight class for structured output tasks — JSON generation, tool use, and agentic workflows feel natural rather than forced. At 8B parameters it has real limits on complex multi-step reasoning, but for its size it handles instruction-following with notable consistency.

Capabilities

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

Reasoning & Logic

Moderate

Long Context

Glossary

AgenticA model designed to act autonomously by making decisions, selecting actions, and using tools to accomplish multi-step tasks.Agentic WorkflowsProcesses where a model autonomously plans and executes multiple steps or tool calls to accomplish a goal, rather than responding to a single prompt.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.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.Structured OutputResponses formatted in a consistent, machine-readable way (like JSON or XML) rather than free-form text.Tool UseThe ability of a model to call external functions or APIs to perform tasks like calculations, searches, or data retrieval.

Capabilities

Capabilities

Use Case Fit

Glossary