Instructions to use anjohn0077/NEXS-qwen3-32b-prover-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anjohn0077/NEXS-qwen3-32b-prover-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-32B") model = PeftModel.from_pretrained(base_model, "anjohn0077/NEXS-qwen3-32b-prover-lora") - Notebooks
- Google Colab
- Kaggle
File size: 435 Bytes
e0c9120 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"base_model_name_or_path": "Qwen/Qwen3-32B",
"peft_type": "LORA",
"use_rslora": false,
"target_modules": [
"q_proj",
"gate_proj",
"o_proj",
"up_proj",
"v_proj",
"down_proj",
"k_proj"
],
"modules_to_save": null,
"task_type": "CAUSAL_LM",
"r": 128,
"lora_alpha": 128,
"rank_pattern": {},
"alpha_pattern": {},
"lora_dropout": 0.0,
"fan_in_fan_out": false,
"inference_mode": true
} |