Text Generation
PEFT
Safetensors
GGUF
English
Thai
lora
qwen3.5-moe
qwen3.6
reasoning
kimi-k2.6
claude-opus
distillation
weight-diff
svd
Instructions to use hotdogs/qwen3.6-35b-opus-to-kimi-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hotdogs/qwen3.6-35b-opus-to-kimi-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled") model = PeftModel.from_pretrained(base_model, "hotdogs/qwen3.6-35b-opus-to-kimi-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_name_or_path": "lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled", | |
| "peft_type": "LORA", | |
| "r": 16, | |
| "lora_alpha": 16, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj" | |
| ], | |
| "bias": "none", | |
| "task_type": "CAUSAL_LM", | |
| "inference_mode": true | |
| } |