PEFT
Safetensors
English
cybersecurity
malware-analysis
att&ck
threat-intelligence
mixtral
lora
expert-adapters
cape-sandbox
digital-forensics
Instructions to use umer07/fathom-mixtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use umer07/fathom-mixtral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "umer07/fathom-mixtral") - Notebooks
- Google Colab
- Kaggle
Download adapters/expert-e2-dynamic/tokenizer.json from umer07/fathom-mixtral: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/umer07/fathom-mixtral/resolve/refs%2Fpr%2F1/adapters/expert-e2-dynamic/tokenizer.json
- Command line
-
hf download hf://umer07/fathom-mixtral@refs/pr/1/adapters/expert-e2-dynamic/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/umer07/fathom-mixtral/resolve/refs%2Fpr%2F1/adapters/expert-e2-dynamic/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.