Instructions to use mohammednuruddin/openhermes-advance-function-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mohammednuruddin/openhermes-advance-function-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "mohammednuruddin/openhermes-advance-function-v1") - Notebooks
- Google Colab
- Kaggle
openhermes-advance-function-v1
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 100
Training results
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
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Model tree for mohammednuruddin/openhermes-advance-function-v1
Base model
mistralai/Mistral-7B-v0.1 Finetuned
teknium/OpenHermes-2.5-Mistral-7B