Xlr8boi/Llama-3.2-1B-Instruct
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 5, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Xlr8boi/Llama-3.2-1B-Instruct is a 1 billion parameter Llama-3.2 model developed by Xlr8boi, fine-tuned from unsloth/Llama-3.2-1B. This instruction-tuned model was trained with Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
Xlr8boi/Llama-3.2-1B-Instruct is a 1 billion parameter instruction-tuned language model developed by Xlr8boi. It is fine-tuned from the unsloth/Llama-3.2-1B base model, leveraging the Unsloth library for accelerated training.
Key Capabilities
- Efficient Training: This model was trained 2x faster using Unsloth and Huggingface's TRL library, demonstrating an optimized approach to fine-tuning.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands or prompts effectively.
- Llama-3.2 Architecture: Built upon the Llama-3.2 family, it inherits the foundational capabilities of this architecture.
Good For
- Resource-constrained environments: Its 1 billion parameter size makes it suitable for applications where computational resources are limited.
- Rapid Prototyping: The efficient training methodology suggests it can be quickly adapted or fine-tuned for specific use cases.
- General Instruction-Following: Ideal for tasks requiring the model to respond to various instructions and prompts.