d3645fc2-76d4-4835-9b35-8f4fc1b4ef5c
This model is a fine-tuned version of migtissera/Tess-v2.5-Phi-3-medium-128k-14B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3234
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for daniel40/d3645fc2-76d4-4835-9b35-8f4fc1b4ef5c
Base model
microsoft/Phi-3-medium-128k-instruct
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("migtissera/Tess-v2.5-Phi-3-medium-128k-14B") model = PeftModel.from_pretrained(base_model, "daniel40/d3645fc2-76d4-4835-9b35-8f4fc1b4ef5c")