longtermrisk/Qwen3-4B-ftjob-b754a3cd75b6
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The longtermrisk/Qwen3-4B-ftjob-b754a3cd75b6 is a 4 billion parameter Qwen3 model developed by longtermrisk, fine-tuned from unsloth/Qwen3-4B. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
This model, longtermrisk/Qwen3-4B-ftjob-b754a3cd75b6, is a 4 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-4B base model.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a substantial context window of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
- General Text Generation: Suitable for a wide range of natural language generation tasks.
- Instruction Following: As a fine-tuned model, it is likely optimized for understanding and executing instructions.
- Research and Development: Its efficient training method makes it a good candidate for further experimentation and fine-tuning on specific datasets.