blegoh/finetuning-revisi
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 30, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The blegoh/finetuning-revisi is an 8 billion parameter Llama 3.1-based causal language model, fine-tuned by blegoh. This model was trained using Unsloth and Hugging Face's TRL library, enabling 2x faster fine-tuning. It is designed for general language generation tasks, leveraging the efficiency of its training methodology.
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Model Overview
The blegoh/finetuning-revisi is an 8 billion parameter language model developed by blegoh. It is fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model, indicating its foundation in the Llama 3.1 architecture.
Key Characteristics
- Efficient Fine-tuning: This model was fine-tuned with Unsloth and Hugging Face's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Llama 3.1 Base: Inherits the capabilities and architecture of the Llama 3.1 series, providing a strong foundation for various NLP tasks.
- Parameter Count: With 8 billion parameters, it offers a balance between performance and computational efficiency.
- Context Length: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Good For
- Developers looking for a Llama 3.1-based model that has undergone an optimized fine-tuning process.
- Applications requiring a capable 8B parameter model with a substantial context window.
- General text generation, summarization, and question-answering tasks where the Llama 3.1 architecture is suitable.