KONI Llama3.1 8B Instruct 20241024

Llama 3.1

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

Released October 2024131K context≈ 98,304 words

A fine-tuned variant of Meta's Llama 3.1 8B, adapted by KISTI-KONI for their specific use case. It handles a 128K token context window, making it capable of processing long documents in a single pass. Details about the specific capabilities or domain focus introduced through fine-tuning are limited beyond what the base Llama 3.1 architecture provides.

Capabilities

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

Long Context

Strong

Tool Use

KONI Llama3.1 8B Instruct 20241024

Llama 3.1

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

Released October 2024131K context≈ 98,304 words

A fine-tuned variant of Meta's Llama 3.1 8B, adapted by KISTI-KONI for their specific use case. It handles a 128K token context window, making it capable of processing long documents in a single pass. Details about the specific capabilities or domain focus introduced through fine-tuning are limited beyond what the base Llama 3.1 architecture provides.

Capabilities

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

Long Context

Strong

Tool Use

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

Capabilities

Capabilities

Use Case Fit

Glossary