Instructions to use nemanisri/grounded-sigma-compiler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nemanisri/grounded-sigma-compiler with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("nemanisri/grounded-sigma-compiler") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use nemanisri/grounded-sigma-compiler with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "nemanisri/grounded-sigma-compiler" --prompt "Once upon a time"
- Atomic Chat
| { | |
| "base": { | |
| "records": 45, | |
| "json_valid": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "schema_exact": { | |
| "passed": 31, | |
| "total": 45, | |
| "rate": 0.689 | |
| }, | |
| "title_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "description_exact": { | |
| "passed": 29, | |
| "total": 45, | |
| "rate": 0.644 | |
| }, | |
| "logsource_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "detection_exact": { | |
| "passed": 34, | |
| "total": 45, | |
| "rate": 0.756 | |
| }, | |
| "attack_exact": { | |
| "passed": 36, | |
| "total": 45, | |
| "rate": 0.8 | |
| }, | |
| "false_positives_exact": { | |
| "passed": 44, | |
| "total": 45, | |
| "rate": 0.978 | |
| }, | |
| "severity_exact": { | |
| "passed": 44, | |
| "total": 45, | |
| "rate": 0.978 | |
| }, | |
| "requires_validation": { | |
| "passed": 39, | |
| "total": 45, | |
| "rate": 0.867 | |
| }, | |
| "strict_pass": { | |
| "passed": 19, | |
| "total": 45, | |
| "rate": 0.422 | |
| } | |
| }, | |
| "adapter": { | |
| "records": 45, | |
| "json_valid": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "schema_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "title_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "description_exact": { | |
| "passed": 43, | |
| "total": 45, | |
| "rate": 0.956 | |
| }, | |
| "logsource_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "detection_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "attack_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "false_positives_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "severity_exact": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "requires_validation": { | |
| "passed": 45, | |
| "total": 45, | |
| "rate": 1.0 | |
| }, | |
| "strict_pass": { | |
| "passed": 43, | |
| "total": 45, | |
| "rate": 0.956 | |
| } | |
| } | |
| } | |