amkb222/tes-golden-chat-2-lora

TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The amkb222/tes-golden-chat-2-lora is an 8 billion parameter Llama 3.1 model, fine-tuned by amkb222. This model leverages Unsloth and Hugging Face's TRL library for accelerated training, achieving 2x faster finetuning. It is designed as a general-purpose chat model, building upon the Meta-Llama-3.1-8B-bnb-4bit base.

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Model Overview

The amkb222/tes-golden-chat-2-lora is an 8 billion parameter language model developed by amkb222. It is a fine-tuned variant of the unsloth/Meta-Llama-3.1-8B-bnb-4bit base model, utilizing the Llama 3.1 architecture.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-bnb-4bit.
  • Training Efficiency: This model was trained with Unsloth and Hugging Face's TRL library, which enabled a 2x faster finetuning process compared to standard methods.
  • License: Distributed under the Apache-2.0 license.

Use Case Considerations

This model is suitable for applications requiring a Llama 3.1-based chat model that benefits from efficient training methodologies. Its foundation on a quantized base model suggests potential for deployment in environments with memory constraints, while the Unsloth integration highlights its optimized training for developers looking for faster iteration cycles.

Finetunes
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