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

- Xet hash:
- e9ba55ad5cfaf5fad4cd11ebbd1ed45a0b8c4d4a42eba5cdb26513718dd612ca
- Size of remote file:
- 166 kB
- SHA256:
- 404904492bc592e965b50888c1c6bb6ddb5ff3c5715793d99d1f5458209d9a22
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