vpakarinen/tieto-code-mini-4b-instruct
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Jan 3, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The vpakarinen/tieto-code-mini-4b-instruct is a 4 billion parameter instruction-tuned language model, fine-tuned from Qwen/Qwen3-4B-Instruct-2507. It is designed to produce clear, structured, and step-by-step answers across various topics, with a primary focus on software engineering tasks. This model excels in Q&A, troubleshooting, and best practices within a 40960-token context window.
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Model Overview
The vpakarinen/tieto-code-mini-4b-instruct is a 4 billion parameter instruction-tuned model, derived from the Qwen/Qwen3-4B-Instruct-2507 base model. It has been specifically fine-tuned to generate clear, structured, and step-by-step responses across a range of subjects, with a particular emphasis on software engineering.
Key Capabilities
- Structured Responses: Optimized to provide answers in a clear, step-by-step format.
- Software Engineering Focus: Excels in tasks related to software development, including answering questions, troubleshooting code, and providing best practices.
- Instruction Following: Trained on a JSONL chat dataset using
system/user/assistantroles for robust instruction adherence. - Extended Context: Supports a context length of 40960 tokens, allowing for processing longer inputs and generating more comprehensive outputs.
Good For
- Software Development Q&A: Ideal for developers seeking explanations or solutions to programming challenges.
- Troubleshooting: Can assist in diagnosing and resolving software-related issues.
- Best Practices: Provides guidance on software engineering methodologies and standards.
- Structured Information Retrieval: Useful for extracting and presenting information in an organized manner.