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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Fix LoRA alpha (16->64), CyberSOCEval arXiv ID, and citation authors
Verified signature- LoRA alpha corrected 16->64 to match paper hyperparameter table and CONTEXT.md. - CyberSOCEval arXiv link corrected 2503.19107 (unrelated paper) -> 2509.20166 (Deason et al., confirmed against the paper's bibliography). - Citation author corrected from placeholder 'Umer' to the full author team, matching the GitHub repo's citation block. - Added a note clarifying the n=3 table is the original Run-7 breakdown, so the sample-15 delta vs the n=12 table isn't mistaken for a data conflict. - Added the 0.344 synthetic-floor cross-reference and noted SECURE KCV/VOOD were scored but excluded from the headline comparison due to a context-grounding limitation, matching the paper's disclosure-first framing.603882c -
Add n=12 CAPE expansion (preliminary) + SECURE/CyberSOCEval independent-benchmark results
Verified signatureMirrors the GitHub repo update (Haseeb-1698/fathom-ai commit 1077668): adds the preliminary n=12 real-CAPE expansion result (Exact F1 0.408, Parent F1 0.514, ground truth for 9/12 samples not yet hand-verified) and a new section for the SECURE (MAET 87.78% vs base 80.9%, CWET 87.88% vs base 83.4%) and CyberSOCEval (0.415 / 0.555 mean Jaccard) independent, zero-overlap benchmarks.6dfb9f3
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Update README.md
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Update README.md
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update
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Change license from Apache-2.0 to CC-BY-NC-4.0
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latest
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Update benchmark table: Run 7 final results — avg Exact F1=0.868, Parent F1=0.841 on real CAPE
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Rewrite model card: clean 2-table benchmark layout, full pipeline overview, critical notes
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Update model card: Run 6 real pipeline results (CAPE Exact F1=0.534, Parent F1=0.508)
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Remove broken v3 adapter (NaN collapse)
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Remove broken v3 adapter (NaN collapse)
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Remove broken v3 adapter (NaN collapse)
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Remove broken v3 adapter (NaN collapse)
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Remove broken v3 adapter (NaN collapse)
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Remove broken v3 adapter (NaN collapse)
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Fathom v3: unified-v3 adapter (ATT&CK augmented)
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Fathom v3: unified-v3 adapter (ATT&CK augmented)
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Fathom v3: unified-v3 adapter (ATT&CK augmented)
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Fathom v3: unified-v3 adapter (ATT&CK augmented)
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Fathom v3: unified-v3 adapter (ATT&CK augmented)
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Fathom v3: unified-v3 adapter (ATT&CK augmented)
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Fathom: upload expert-e9-cot/training_log.json
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Fathom: upload expert-e9-cot/tokenizer_config.json
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Fathom: upload expert-e9-cot/tokenizer.model
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Fathom: upload expert-e9-cot/tokenizer.json
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Fathom: upload expert-e9-cot/special_tokens_map.json
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Fathom: upload expert-e9-cot/chat_template.jinja
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Fathom: upload expert-e9-cot/adapter_model.safetensors
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Fathom: upload expert-e9-cot/adapter_config.json
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Fathom: upload expert-e8-analyst/training_log.json
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Fathom: upload expert-e8-analyst/tokenizer_config.json
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Fathom: upload expert-e8-analyst/tokenizer.model
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Fathom: upload expert-e8-analyst/tokenizer.json
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Fathom: upload expert-e8-analyst/special_tokens_map.json
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Fathom: upload expert-e8-analyst/chat_template.jinja
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Fathom: upload expert-e8-analyst/adapter_model.safetensors
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Fathom: upload expert-e8-analyst/adapter_config.json
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Fathom: upload expert-e7-reports/training_log.json
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Fathom: upload expert-e7-reports/tokenizer_config.json
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Fathom: upload expert-e7-reports/tokenizer.model
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Fathom: upload expert-e7-reports/tokenizer.json
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Fathom: upload expert-e7-reports/special_tokens_map.json
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Fathom: upload expert-e7-reports/chat_template.jinja
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Fathom: upload expert-e7-reports/adapter_model.safetensors
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Fathom: upload expert-e7-reports/adapter_config.json
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Fathom: upload expert-e6-detection/training_log.json
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Fathom: upload expert-e6-detection/tokenizer_config.json
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Fathom: upload expert-e6-detection/tokenizer.model
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Fathom: upload expert-e6-detection/tokenizer.json
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