IQuest Coder V1 40B Loop Instruct

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

Released December 2025131K context≈ 98,304 words40B params

A code-focused model from IQuestLab built around an iterative 'loop' instruction-following approach, suggesting it's designed to refine outputs through repeated cycles rather than single-pass generation. At 40B parameters with a 131K token context window, it can hold large codebases in view at once. Details about its specific strengths and limitations in practice remain sparse.

Capabilities

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

Creative Writing

Moderate

Multimodal

IQuest Coder V1 40B Loop Instruct

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

Released December 2025131K context≈ 98,304 words40B params

A code-focused model from IQuestLab built around an iterative 'loop' instruction-following approach, suggesting it's designed to refine outputs through repeated cycles rather than single-pass generation. At 40B parameters with a 131K token context window, it can hold large codebases in view at once. Details about its specific strengths and limitations in practice remain sparse.

Capabilities

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

Creative Writing

Moderate

Multimodal

Glossary

Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.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