g-assismoraes/Q4B-IRM-cut-fInstruct
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 18, 2026Architecture:Transformer Featherless Exclusive Cold
The g-assismoraes/Q4B-IRM-cut-fInstruct is a 4 billion parameter instruction-tuned language model with a 32,768 token context length. Developed by g-assismoraes, this model is designed for general language understanding and generation tasks. Its instruction-following capabilities make it suitable for a variety of applications requiring precise responses.
Loading preview...
Model Overview
The g-assismoraes/Q4B-IRM-cut-fInstruct is a 4 billion parameter instruction-tuned language model, developed by g-assismoraes. It features a substantial context window of 32,768 tokens, allowing it to process and generate longer sequences of text while maintaining coherence and relevance.
Key Capabilities
- Instruction Following: The model is instruction-tuned, indicating a focus on accurately interpreting and executing user prompts.
- Extended Context: With a 32,768 token context length, it can handle complex queries and generate detailed responses based on extensive input.
- General Language Tasks: Suitable for a broad range of natural language processing applications, including text generation, summarization, and question answering.
Good For
- Applications requiring a balance between model size and performance.
- Use cases where processing long documents or conversations is crucial.
- Developing chatbots or virtual assistants that need to follow specific instructions.