Text Generation
PEFT
Safetensors
verilog
rtl
code-generation
qwen2.5-coder
lora
qlora
hardware
verilog-eval
conversational
Instructions to use Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v30b-delta-distilled-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v30b-delta-distilled-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v30b-delta-distilled-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dad83ca8115bbb3341161cd37f108d5b918761f9993ecaa5bed97b94025cb5e
- Size of remote file:
- 323 MB
- SHA256:
- a62245ab7f40793ebd6ccd2c516edcff8e3b3dd277a0c26e4fb5baae524b62d2
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