ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Jan 27, 2025License:apache-2.0Architecture:Transformer Open Weights Warm
The ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit model is a 3.2 billion parameter Llama-based language model developed by ansilmbabl. Fine-tuned from unsloth/llama-3.2-3b-instruct-bnb-4bit, it was trained using Unsloth and Huggingface's TRL library for accelerated performance. This model is designed for general language understanding and generation tasks, leveraging its Llama architecture and efficient training methodology.
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Model Overview
The ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit is a 3.2 billion parameter language model developed by ansilmbabl. It is based on the Llama architecture, specifically fine-tuned from the unsloth/llama-3.2-3b-instruct-bnb-4bit model.
Key Characteristics
- Architecture: Llama-based, providing a robust foundation for various NLP tasks.
- Parameter Count: Features 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: This model was trained with a focus on speed, utilizing Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
- Context Length: Supports a context window of 32768 tokens, enabling it to process and generate longer sequences of text.
Potential Use Cases
- General Language Tasks: Suitable for a wide range of applications including text generation, summarization, and question answering.
- Instruction Following: As an instruction-tuned model, it can effectively follow prompts and generate relevant responses.
- Research and Development: Its efficient training and Llama base make it a good candidate for further fine-tuning or experimental applications.