TimeCapsuleLLM v2 llama 1.2B

Llama

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

Released January 20262K context≈ 1,536 words1.2B params

A compact, open-weight model built on Llama architecture with a modest 2048-token context window. Its small 1.2B parameter count means it runs efficiently on limited hardware, though it trades raw capability for accessibility. Details about its specific intended use case or fine-tuning focus are limited beyond what the name suggests.

Capabilities

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

Instruction Following

Moderate

Coding

TimeCapsuleLLM v2 llama 1.2B

Llama

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

Released January 20262K context≈ 1,536 words1.2B params

A compact, open-weight model built on Llama architecture with a modest 2048-token context window. Its small 1.2B parameter count means it runs efficiently on limited hardware, though it trades raw capability for accessibility. Details about its specific intended use case or fine-tuning focus are limited beyond what the name suggests.

Capabilities

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

Instruction Following

Moderate

Coding

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.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-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Llama ArchitectureA transformer-based neural network design optimized for efficient language modeling and text generation.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.Parameter CountThe total number of adjustable weights in a model; more parameters generally mean more capacity to learn, but also require more computing power.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