Fedir-Ilina/finetuned_llama3.1_1b_ollama_safe
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Mar 4, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Fedir-Ilina/finetuned_llama3.1_1b_ollama_safe is a 1 billion parameter Llama 3.1 instruction-tuned model, developed by milanakdj. 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 Llama 3.1 architecture for efficient performance.
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Model Overview
Fedir-Ilina/finetuned_llama3.1_1b_ollama_safe is a 1 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. Developed by milanakdj, this model was fine-tuned from unsloth/llama-3.2-1b-instruct-bnb-4bit.
Key Capabilities
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama 3.1 Base: Benefits from the foundational capabilities and instruction-following strengths of the Llama 3.1 series.
- Compact Size: With 1 billion parameters, it offers a balance between performance and computational efficiency, suitable for deployment in resource-constrained environments or for tasks where larger models are overkill.
Good For
- General Instruction Following: Capable of handling a variety of instruction-based prompts.
- Resource-Efficient Applications: Its smaller parameter count makes it suitable for applications requiring lower memory footprint and faster inference times.
- Further Experimentation: Provides a solid base for developers looking to experiment with Llama 3.1 models and efficient fine-tuning techniques.