ValiantLabs/Qwen3-4B-Esper3
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 6, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
ValiantLabs/Qwen3-4B-Esper3 is a 4 billion parameter language model from Valiant Labs, built on the Qwen 3 architecture. It is specifically fine-tuned for coding, architecture, and DevOps reasoning tasks. This model excels at problem-solving in technical domains and offers improved general and creative reasoning, making it suitable for local desktop, mobile, and fast server inference.
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Overview
ValiantLabs/Qwen3-4B-Esper3 is a 4 billion parameter model developed by Valiant Labs, based on the Qwen 3 architecture. It is part of the Esper 3 series, which also includes 8B and 14B parameter versions. This model is primarily designed as a specialist in coding, architecture, and DevOps reasoning.
Key Capabilities
- Specialized Reasoning: Fine-tuned on proprietary datasets for DevOps and architecture reasoning, as well as code reasoning, generated using Deepseek R1.
- Enhanced General Reasoning: Includes improved general and creative reasoning capabilities, supplementing its core technical problem-solving and general chat performance.
- Efficient Performance: Its relatively small size allows for efficient operation on local desktops, mobile devices, and provides super-fast server inference.
- Qwen 3 Prompt Format: Utilizes the standard Qwen 3 prompt format, with a recommendation to enable
enable_thinking=Truefor all chat interactions to leverage its reasoning finetune.
Good For
- Code Generation and Analysis: Excels in tasks requiring code reasoning.
- DevOps and Infrastructure as Code: Ideal for generating and understanding configurations related to DevOps practices and architecture.
- Technical Problem Solving: Suited for scenarios requiring detailed technical reasoning and problem-solving.
- Local and Edge Deployment: Its small parameter count makes it suitable for deployment in resource-constrained environments.