alloma 3B Instruct

Llama

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

Released September 2025131K context≈ 98,304 words3B params

A compact, instruction-following model built on the Llama family architecture. At 3B parameters, it operates within a generous 131K token context window, making it capable of handling longer inputs despite its smaller footprint. Details about its specific fine-tuning focus or specialized capabilities beyond general instruction-following are limited.

Capabilities

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

Multimodal

Moderate

Reasoning & Logic

alloma 3B Instruct

Llama

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

Released September 2025131K context≈ 98,304 words3B params

A compact, instruction-following model built on the Llama family architecture. At 3B parameters, it operates within a generous 131K token context window, making it capable of handling longer inputs despite its smaller footprint. Details about its specific fine-tuning focus or specialized capabilities beyond general instruction-following are limited.

Capabilities

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

Multimodal

Moderate

Reasoning & Logic

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-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.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