Text Generation
PEFT
Safetensors
lora
grpo
reinforcement-learning
drug-discovery
bioinformatics
tool-use
gene-ontology
conversational
Instructions to use lokahq/Trinity-Mini-AI-Scientist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lokahq/Trinity-Mini-AI-Scientist with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("arcee-ai/Trinity-Mini") model = PeftModel.from_pretrained(base_model, "lokahq/Trinity-Mini-AI-Scientist") - Notebooks
- Google Colab
- Kaggle
File size: 355 Bytes
2c17c71 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"peft_type": "LORA",
"task_type": "CAUSAL_LM",
"base_model_name_or_path": "arcee-ai/Trinity-Mini",
"r": 64,
"lora_alpha": 128.0,
"lora_dropout": 0.0,
"bias": "none",
"target_modules": [
"down_proj",
"experts",
"gate_proj",
"k_proj",
"o_proj",
"q_proj",
"up_proj",
"v_proj"
],
"modules_to_save": null
} |