invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR5e5
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR5e5 is an 8 billion parameter Llama 3.1 model, fine-tuned by invosmartplay. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language tasks, leveraging the Llama 3.1 architecture for efficient processing and generation.
Loading preview...
invosmartplay/Llama-3.1-8B-Alpaca-Indo-LR5e5 Overview
This model is an 8 billion parameter Llama 3.1 variant, developed by invosmartplay. It has been fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model, utilizing the Unsloth library for accelerated training. Unsloth is known for enabling significantly faster fine-tuning of large language models, in this case, achieving a 2x speed improvement.
Key Characteristics
- Base Model: Llama 3.1-8B, providing a strong foundation for language understanding and generation.
- Fine-tuning Method: Leverages Unsloth and Huggingface's TRL library, optimizing the training process for efficiency.
- Parameter Count: 8 billion parameters, balancing performance with computational requirements.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Good For
- Applications requiring a capable 8B parameter model with the Llama 3.1 architecture.
- General text generation, summarization, and question-answering tasks.
- Developers looking for a model fine-tuned with efficient training techniques.