IDaniel8/meta-llama-3.1-8b-4bit-xtestlab-eternalyc-fyi-1

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The IDaniel8/meta-llama-3.1-8b-4bit-xtestlab-eternalyc-fyi-1 is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by IDaniel8 and finetuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks, leveraging its Llama 3.1 base and efficient training methodology.

Loading preview...

Model Overview

IDaniel8/meta-llama-3.1-8b-4bit-xtestlab-eternalyc-fyi-1 is an 8 billion parameter instruction-tuned language model, developed by IDaniel8. It is based on the Llama 3.1 architecture and was finetuned from the unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit model.

Key Characteristics

  • Efficient Finetuning: This model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process compared to standard methods.
  • Llama 3.1 Base: Leverages the robust capabilities of the Llama 3.1 instruction-tuned architecture.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs.

Use Cases

This model is suitable for a variety of general language generation and understanding tasks, benefiting from its Llama 3.1 foundation and optimized training. Its efficient finetuning process suggests potential for rapid adaptation to specific downstream applications.

Finetunes
1 models