Text Generation
MLX
English
lora
code
wine
dxvk
dxmt
reverse-engineering
linux-internals
macos-internals
qwen3-coder
security
pentest
red-team
cybersecurity
Instructions to use Soaperloafidksum/LOREA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Soaperloafidksum/LOREA 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("Soaperloafidksum/LOREA") 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 Soaperloafidksum/LOREA with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Soaperloafidksum/LOREA" --prompt "Once upon a time"
- Atomic Chat
Add LOREA-cyber (cyber-30b) adapter — authorized red-team / security; v3-re kept as default
Browse files
cyber-30b/adapter_config.json
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{
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"adapter_path": "adapters_cyber_30b",
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"batch_size": 1,
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"clear_cache_threshold": 0,
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"config": null,
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"data": "data_cyber",
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"fine_tune_type": "lora",
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"grad_accumulation_steps": 1,
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"grad_checkpoint": false,
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"iters": 1000,
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"learning_rate": 5e-05,
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"lora_parameters": {
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"rank": 8,
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"dropout": 0.0,
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"scale": 20.0
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},
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"lr_schedule": null,
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"mask_prompt": false,
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"max_seq_length": 1536,
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"model": "mlx-community/Qwen3-Coder-30B-A3B-Instruct-4bit",
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"num_layers": 8,
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"optimizer": "adam",
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"optimizer_config": {
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"adam": {},
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"adamw": {},
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"muon": {},
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"sgd": {},
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"adafactor": {}
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},
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"project_name": null,
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"report_to": null,
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"resume_adapter_file": null,
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"save_every": 100,
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"seed": 0,
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"steps_per_eval": 200,
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"steps_per_report": 10,
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"test": false,
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"test_batches": 500,
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"train": true,
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"val_batches": 25
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}
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cyber-30b/adapters.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbec34551beb9567bbf9cd4a71c235817f09a5cbbea6338a3f3cf97539925b92
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size 281852227
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