nightbloom/YandexGPT-5-Lite-8B-ChatMl-alpha
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Dec 27, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
nightbloom/YandexGPT-5-Lite-8B-ChatMl-alpha is an 8 billion parameter language model developed by nightbloom, finetuned from the YandexGPT-5-Lite-8B-ChatMl-alpha base model. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for chat-based applications and general language generation tasks, offering efficient performance for its size.
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Model Overview
nightbloom/YandexGPT-5-Lite-8B-ChatMl-alpha is an 8 billion parameter language model developed by nightbloom. It is a finetuned version of the YandexGPT-5-Lite-8B-ChatMl-alpha base model, optimized for chat-based interactions and general language generation.
Key Characteristics
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context window of 8192 tokens, suitable for handling moderately long conversations and text inputs.
- Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Intended Use Cases
- Chat Applications: Well-suited for conversational AI, chatbots, and interactive dialogue systems.
- General Language Generation: Capable of various text generation tasks, including content creation, summarization, and question answering.
- Efficient Deployment: Its optimized training and moderate parameter count make it a good candidate for applications where faster inference and reduced resource consumption are important.