Meta Llama 3.1 8B Instruct abliterated GGUF EU AI Act Compliance Profile
mlabonne
Your risk depends on how you use Meta Llama 3.1 8B Instruct abliterated GGUF
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
Meta Llama 3.1 8B Instruct abliterated GGUF is an AI model by mlabonne. It has 8 billion parameters. Fine-tuned from meta-llama/Meta-Llama-3.1-8B-Instruct. Built with transformers. Licensed under llama3.1. 21.1K downloads on HuggingFace.
Applicable Articles
Who does what
mlabonne (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
This model is classified as Minimal Risk under the EU AI Act. No mandatory compliance obligations apply, but voluntary codes of practice are encouraged. AI literacy training (Art. 4) is recommended for all deployers.
More models by mlabonne
Similar other models
Frequently Asked Questions
What is Meta Llama 3.1 8B Instruct abliterated GGUF's EU AI Act risk classification?
+
Meta Llama 3.1 8B Instruct abliterated GGUF is classified as MINIMAL under the EU AI Act. The model has 8B parameters.
What are my obligations if I deploy Meta Llama 3.1 8B Instruct abliterated GGUF?
+
As a Meta Llama 3.1 8B Instruct abliterated GGUF deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Meta Llama 3.1 8B Instruct abliterated GGUF?
+
Meta Llama 3.1 8B Instruct abliterated GGUF is a Unknown model by mlabonne. It has 21.1K downloads on HuggingFace. Licensed under llama3.1.
What are the EU AI Act deadlines for Meta Llama 3.1 8B Instruct abliterated GGUF?
+
Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check Meta Llama 3.1 8B Instruct abliterated GGUF compliance in your codebase
One command to scan. Open-source CLI.
