Lixing-Li/Llama-3.1-8B-LoRA-SQUAD-LATE8TH
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 24, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Lixing-Li/Llama-3.1-8B-LoRA-SQUAD-LATE8TH is an 8 billion parameter Llama 3.1 model developed by Lixing-Li, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth for accelerated performance. It is designed for tasks leveraging its Llama 3.1 architecture and efficient training methodology.
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Model Overview
Lixing-Li/Llama-3.1-8B-LoRA-SQUAD-LATE8TH is an 8 billion parameter language model developed by Lixing-Li. It is based on the Llama 3.1 architecture and was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct model. A key characteristic of this model is its training efficiency, having been trained 2x faster using the Unsloth library.
Key Capabilities
- Llama 3.1 Architecture: Leverages the advanced capabilities of the Llama 3.1 base model.
- Efficient Training: Benefits from accelerated training via Unsloth, potentially leading to faster iteration and deployment.
- Instruction-Tuned Base: Built upon an instruction-tuned base model, suggesting proficiency in following directives.
Good For
- Developers seeking a Llama 3.1-based model with an 8 billion parameter count.
- Applications where efficient fine-tuning and deployment are beneficial.
- Tasks that align with the general capabilities of instruction-tuned Llama 3.1 models.