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 cost column from benchmark table
#6
by the-clanker-lover - opened
No description provided.
the-clanker-lover changed pull request status to merged