Magnum V1 32b Gguf

🚀 Magnum 32B - GGUF Quants

This repository contains GGUF quants of a model designed to replicate the prose quality of Claude 3 models.

🚀 Quick Start

This repo contains GGUF quants of the model. If you need the original weights, please find them here. This is the second in a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. This model is fine-tuned on top of Qwen1.5 32B.

✨ Features

• Replicates the prose quality of Claude 3 models (Sonnet and Opus).
• Fine - tuned on top of Qwen1.5 32B.
• Instruct - tuned with the ChatML formatting.

💻 Usage Examples

Basic Usage

Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:

"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""

📚 Documentation

Credits

Three new general purpose instruction following datasets were added on top of the original Stheno dataset (which had certain low quality entries purged/removed). The first two were designed specifically for the Magnum series, to better address prompt adherence and coherence:

• kalomaze/Opus_Instruct_25k
• Nopm/Opus_WritingStruct
• Gryphe/Sonnet3.5-SlimOrcaDedupCleaned (A ~16k rows subset)

This model has been a team effort, and the credits goes to all members of Anthracite.

Training

The training was done for 2 epochs with a learning rate of 1e - 05. We used 8x NVIDIA H100 Tensor Core GPUs for the full - parameter fine - tuning of the model.

🔧 Technical Details

• Model Type: Fine - tuned on Qwen1.5 32B.
• Training Data: Three new general purpose instruction following datasets added on top of the original Stheno dataset.
• Training Epochs: 2 epochs.
• Learning Rate: 1e - 05.
• Hardware: 8x NVIDIA H100 Tensor Core GPUs.

📄 License

This model is released under the tongyi - qianwen license.