Text Generation
PEFT
Safetensors
English
Adangme
ada2022
spark
code-generation
defense
aerospace
safety-critical
qlora
lora
sft
formal-verification
conversational
Eval Results (legacy)
Instructions to use the-clanker-lover/steelman-14b-ada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use the-clanker-lover/steelman-14b-ada with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-coder-14b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "the-clanker-lover/steelman-14b-ada") - Notebooks
- Google Colab
- Kaggle
Remove failed RFT1 adapter (trained on RS data only, missing curated dataset)
#1
by the-clanker-lover - opened
RFT1 scored 41.1% compile rate vs R5's 68.6% β catastrophic regression.
Root cause: trained on 14,951 rejection-sampled pairs only, without the 3,430 curated R5 pairs. Violated the accumulate-and-retrain rule.
Removing to prevent anyone from using a broken adapter.
the-clanker-lover changed pull request status to merged