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
Commit History
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Fathom: upload expert-e2-dynamic/training_log.json
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Fathom: upload expert-e2-dynamic/tokenizer_config.json
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Fathom: upload expert-e2-dynamic/tokenizer.model
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Fathom: upload expert-e2-dynamic/tokenizer.json
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Fathom: upload expert-e2-dynamic/special_tokens_map.json
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Fathom: upload expert-e2-dynamic/chat_template.jinja
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Fathom: upload expert-e2-dynamic/adapter_model.safetensors
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Fathom: upload expert-e2-dynamic/adapter_config.json
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