Lamarck 14 B v0.6 rc4 G G U F

Introduction

LAMARCK-14B-V0.6-RC4-GGUF is a model developed by mradermacher on Hugging Face, leveraging the GGUF library. It is designed for conversational tasks and is licensed under Apache 2.0. This particular model is a quantized version, offering several quantization options for different performance and quality needs.

Architecture

The model is based on the Transformers library and has been quantized using mergekit techniques. Multiple quantized versions are provided, optimized for different use cases, balancing size and quality.

Training

The base model, Lamarck-14B-v0.6, was trained on English language datasets. The quantization was performed by mradermacher, with options like Q2_K and Q4_K_M noted for their speed and quality.

Guide: Running Locally

To run the model locally, follow these steps:

1. Set Up Environment: Ensure your environment has Python and the necessary libraries installed, like Transformers and GGUF.
2. Download Model: Choose a quantized model version from the list and download it.
3. Load Model: Use the Transformers library to load the model for inference.
4. Run Inference: Implement your conversational tasks using the model.

For better performance, especially with larger quantized models, consider using cloud GPUs such as those offered by AWS, Google Cloud, or Azure.

License

The model is released under the Apache 2.0 License, allowing for both personal and commercial use, with proper attribution.