vinchu/Llama-3.1-8B-Instruct-Feedback-fullsft
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Feb 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
vinchu/Llama-3.1-8B-Instruct-Feedback-fullsft is an 8 billion parameter instruction-tuned language model developed by vinchu, fine-tuned from unsloth/Llama-3.1-8B-Instruct. This model leverages Unsloth for accelerated training, making it a highly efficient option for various natural language processing tasks. Its primary use case is general instruction following, benefiting from its Llama 3.1 base and optimized training process.
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Overview
vinchu/Llama-3.1-8B-Instruct-Feedback-fullsft is an 8 billion parameter instruction-tuned language model developed by vinchu. It is fine-tuned from the unsloth/Llama-3.1-8B-Instruct base model, utilizing the Unsloth library for significantly faster training.
Key Capabilities
- Efficient Instruction Following: Benefits from its Llama 3.1 base and instruction-tuning for general NLP tasks.
- Accelerated Training: Developed using Unsloth, which enables 2x faster training compared to standard methods.
- Apache 2.0 License: Offers flexibility for commercial and research use.
Good for
- Developers seeking an 8B parameter model with strong instruction-following capabilities.
- Applications requiring a Llama 3.1-based model with an optimized training lineage.
- Projects where efficient fine-tuning and deployment are priorities.