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:
- 069b3b6e4deab2d725accc329553aeca4fa96d6d89b89e951d2b187fab030424
- Size of remote file:
- 13.8 MB
- SHA256:
- 7e2bf471e9c912af7d1edbb60bbe5784039c71120d9df5c9a909d37fc4b5ec8f
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