Downloads · 30 days
83
32% of all-time downloads
pharaouk/awm-minimax-h3-new1344-lora-checkpoints
awm-minimax-h3-new1344-lora-checkpoints is a machine learning model from pharaouk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for minimax-h3.
This repository publicly releases five selected CWM LoRA adapters from our MiniMax-H3 1344×768 q4 System-Chat training runs.
Downloads · 30 days
83
32% of all-time downloads
All-time downloads
262
Public
Repo size
11.9 GB
Likes
0
Public
Click a slice to open those files.
.safetensors11.9 GB · 100%
From the Hugging Face model README
This repository publicly releases five selected CWM LoRA adapters from our MiniMax-H3 1344×768 q4 System-Chat training runs.
q4_system_chat/: five selected System-Chat LoRA adapters.manifest.json: exact filenames, byte sizes, SHA-256 checksums, training
steps, and checkpoint status.The repository contains five adapters totaling 11,927,917,704 bytes. Each adapter contains 600 LoRA tensors for 200 target modules. The official MiniMax-H3 Ref2VA base model is not included.
These checkpoints support inference and LoRA weight warm-start with the matching MiniMax-H3 Ref2VA base model. They do not support optimizer-level exact training resumption because optimizer, scheduler, dataloader, sampler, and RNG states are not included.
Only the selected final or latest completed adapter from each training run is
included. A filename without a step suffix denotes the final adapter from a
completed run. A filename with a step suffix denotes the latest retained
periodic checkpoint from that run.