Text Generation
PEFT
Safetensors
Indonesian
English
Arabic
ai-agent
lora
qwen
self-hosted
open-source
free
rag
epistemology
indonesia
islamic-epistemology
local-ai
agentic-ai
conversational
Instructions to use Tiranyx/sidix-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tiranyx/sidix-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Tiranyx/sidix-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "lora_alpha": 32, | |
| "lora_bias": false, | |
| "lora_dropout": 0.1, | |
| "peft_type": "LORA", | |
| "peft_version": "0.18.1", | |
| "r": 16, | |
| "rank_pattern": {}, | |
| "target_modules": ["k_proj", "q_proj", "down_proj", "v_proj", "gate_proj", "o_proj", "up_proj"], | |
| "task_type": "CAUSAL_LM", | |
| "use_dora": false, | |
| "use_rslora": false | |
| } | |