BorisFX2/khmerai-v0.2
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 12, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
BorisFX2/khmerai-v0.2 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by BorisFX2. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the capabilities of the Llama 3.1 architecture.
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Model Overview
BorisFX2/khmerai-v0.2 is an 8 billion parameter instruction-tuned language model, developed by BorisFX2. It is based on the Meta-Llama-3.1-8B-Instruct architecture and was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. This approach allowed for a significantly faster training process, specifically noted as 2x faster.
Key Characteristics
- Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for accelerated training.
- License: Released under the Apache-2.0 license.
Good For
- General instruction-following tasks where the Llama 3.1 architecture is suitable.
- Applications requiring a moderately sized, instruction-tuned model.
- Developers looking for a model trained with efficient methods like Unsloth.