Instructions to use talzoomanzoo/phi-4-mini-ttrl-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use talzoomanzoo/phi-4-mini-ttrl-random with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-reasoning") model = PeftModel.from_pretrained(base_model, "talzoomanzoo/phi-4-mini-ttrl-random") - Notebooks
- Google Colab
- Kaggle
phi-4-mini-ttrl-random
LoRA adapters for microsoft/Phi-4-mini-reasoning from the random training variant.
The repository root contains the latest adapter, global_step_2, for direct loading with PEFT. All saved adapters are also included in their global_step_N/ subfolders.
- Source run:
aime2026-phi4-mini-a40-lora16-seed42-4195756-random - Saved steps: global_step_1, global_step_2
- LoRA rank: 16
- LoRA alpha: 32
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_model = "microsoft/Phi-4-mini-reasoning"
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(base_model)
model = PeftModel.from_pretrained(model, "talzoomanzoo/phi-4-mini-ttrl-random")
# For an earlier step, pass subfolder="global_step_1".
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Model tree for talzoomanzoo/phi-4-mini-ttrl-random
Base model
microsoft/Phi-4-mini-reasoning