Umesh1212/k8s-phi3-vllm
TEXT GENERATIONConcurrency Cost:1Model Size:1.1BQuant:BF16Ctx Length:2kPublished:Jan 10, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Umesh1212/k8s-phi3-vllm is a 1.1 billion parameter Llama-based language model, finetuned by Umesh1212 from unsloth/tinyllama-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed as a compact, efficient model for general language tasks, leveraging optimized training methods.
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Model Overview
Umesh1212/k8s-phi3-vllm is a 1.1 billion parameter Llama-based language model, finetuned by Umesh1212. It originates from the unsloth/tinyllama-bnb-4bit base model and was developed with a focus on efficient training.
Key Characteristics
- Base Model: Finetuned from
unsloth/tinyllama-bnb-4bit. - Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the finetuning process.
- License: Distributed under the Apache-2.0 license.
Good For
- Resource-constrained environments: Its compact size (1.1B parameters) makes it suitable for deployment where computational resources are limited.
- Rapid prototyping and experimentation: The optimized training process allows for quicker iteration and development cycles.
- General language understanding and generation: As a Llama-based model, it can handle a variety of common NLP tasks.