Text Generation
PEFT
Safetensors
scientific-ai
autonomous-agents
colony-trained
qlora
dpo
kuramoto
solitons
complexity-science
conversational
Instructions to use Ninitje/InvariantMind-v1-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ninitje/InvariantMind-v1-14B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-14B") model = PeftModel.from_pretrained(base_model, "Ninitje/InvariantMind-v1-14B") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4/optimizer.pt from Ninitje/InvariantMind-v1-14B: direct link, hf CLI and curl.
- Browser
- Download file 1.1 GB
-
https://huggingface.co/Ninitje/InvariantMind-v1-14B/resolve/main/checkpoint-4/optimizer.pt
- Command line
-
hf download hf://Ninitje/InvariantMind-v1-14B/checkpoint-4/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Ninitje/InvariantMind-v1-14B/resolve/main/checkpoint-4/optimizer.pt
1.1 GB
- Xet hash:
- 338f0d2ae24fbd71512d6602f7aab2183433caf1053e0176be8fe456d72c10c5
- Size of remote file:
- 1.1 GB
- SHA256:
- 3ad33488bb34718856b62032e6d93e37e37ddda5a92bc75a4c561738d96051b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.