Doctoral Mathematics & Silicon EDA
Collection
Discipline-specific foundation models for PhD-level pure mathematics, hardware Verilog RTL design, computational biology, and astrophysics. β’ 8 items β’ Updated
How to use Experimentlab/olmo2-7b-silicon-rtl-eda with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-2-1124-7B-Instruct")
model = PeftModel.from_pretrained(base_model, "Experimentlab/olmo2-7b-silicon-rtl-eda")Vigyan-7B-Silicon-RTL-EDA is a domain-specialized Low-Rank Adaptation (LoRA) adapter built upon AllenAI's open-weights OLMo-2-1124-7B architecture. It is fine-tuned specifically for Electronic Design Automation (EDA), register-transfer level (RTL) Verilog synthesis, and formal verification assertions.
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_model = "allenai/OLMo-2-1124-7B"
model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype="auto", device_map="auto")
model = PeftModel.from_pretrained(model, "shreyansh12183/olmo2-7b-silicon-rtl-eda")
tokenizer = AutoTokenizer.from_pretrained(base_model)
Base model
allenai/OLMo-2-1124-7B