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bloomvn-0.5b-ppo-gguf
Vuanhngo11/bloomvn-0.5b-ppo-gguf
bloomvn-0.5b-ppo-gguf is a machine learning model from Vuanhngo11. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf1.7 GB · 100%
At a glance
- Access
- Public
- Created
- Mar 12, 2025
- Updated
- Mar 14, 2025
- SHA
- de59f412
Model card
From the Hugging Face model README
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<div align="center"> <sub>Star ⭐️ this repo if you find it valuable!</sub> </div>
🚀 bloomvn-0.5b-ppo-GGUF
Optimized quantized models for efficient inference
</div>📋 Overview
A collection of optimized GGUF quantized models derived from bloomvn-0.5b-ppo, providing various performance-quality tradeoffs.
<div style="width: 100%; text-align: left; margin-left: 0;">💎 Model Variants
| Variant | Use Case | Download |
|---|---|---|
| base | The base model is suitable for applications where model size is not a concern, and high accuracy is required. It can be used for tasks such as text generation, language translation, and text summarization. This model is in FP16 format, providing a good balance between size and performance. | 📥 |
| q2_k | The q2_k variant is ideal for extremely constrained environments where model size is a significant concern, such as embedded systems or low-end mobile devices. Although it is highly compressed, it still maintains a reasonable level of accuracy, making it suitable for simple language tasks. This 2-bit quantized model is a good choice when storage space is limited. | 📥 |
| q3_k_m | The q3_k_m variant is designed for memory-limited devices that require a balance between model size and accuracy. This 3-bit quantized model is very compressed, making it suitable for mid-range mobile devices or systems with limited storage capacity. It is a good choice for applications where a moderate level of accuracy is required, such as language understanding or text classification. | 📥 |
🤝 Contributors
Developed with ❤️ by BlossomAI
<div align="center"> <sub>Star ⭐️ this repo if you find it valuable!</sub> </div>
- Created
- Mar 12, 2025
- Updated
- Mar 14, 2025