Llama 3 8B Instruct Gradient 1048k

Llama 3

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

Released August 20231049K context≈ 786,432 words

A long-memory specialist built on Meta's Llama 3 8B foundation, this model's defining trait is its extraordinary context window of over one million tokens — roughly 750,000 words held in a single conversation. Gradient extended the original 8k context through continued training, making it capable of reasoning across very long documents. At 8B parameters, it remains a relatively compact model, so raw reasoning depth trades off against that context breadth.

Capabilities

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

Factual Knowledge

Moderate

Creative Writing

Llama 3 8B Instruct Gradient 1048k

Llama 3

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

Released August 20231049K context≈ 786,432 words

A long-memory specialist built on Meta's Llama 3 8B foundation, this model's defining trait is its extraordinary context window of over one million tokens — roughly 750,000 words held in a single conversation. Gradient extended the original 8k context through continued training, making it capable of reasoning across very long documents. At 8B parameters, it remains a relatively compact model, so raw reasoning depth trades off against that context breadth.

Capabilities

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

Factual Knowledge

Moderate

Creative Writing

Glossary

Compact ModelA smaller language model designed to use fewer computational resources while still performing useful tasks.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Continued TrainingFurther training of an already-trained model on new data to extend or improve its capabilities without starting from scratch.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.Reasoning DepthA model's ability to perform complex multi-step logical thinking and problem-solving; typically increases with model size.TokensThe basic units of text that a language model processes, typically representing words or word fragments.

Capabilities

Capabilities

Use Case Fit

Glossary