neural-chat-7b-v3-1 - GGUF
Model creator:
Intel
Original model:
neural-chat-7b-v3-1Description
This repo contains GGUF format model files for Intel's neural-chat-7b-v3-1.
These files were quantised with Q5_K_M.
Original Readme from Intel
Finetuning on habana HPU
This model is a fine-tuned model based on
mistralai/Mistral-7B-v0.1 on the open source dataset
Open-Orca/SlimOrca. Then we align it with DPO algorithm. For more details, you can refer our blog:
NeuralChat: Simplifying Supervised Instruction Fine-Tuning and Reinforcement Aligning.
Model date
Neural-chat-7b-v3 was trained between September and October, 2023.
Evaluation
We submit our model to
open_llm_leaderboard, and the model performance has been
improved significantly as we see from the average metric of 7 tasks from the leaderboard.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-04
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-HPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 2.0
Inference with transformers
1import transformers
2model = transformers.AutoModelForCausalLM.from_pretrained(
3 'Intel/neural-chat-7b-v3'
4)
Ethical Considerations and Limitations
neural-chat-7b-v3 can produce factually incorrect output, and should not be relied on to produce factually accurate information. neural-chat-7b-v3 was trained on
Open-Orca/SlimOrca based on
mistralai/Mistral-7B-v0.1. Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs.
Therefore, before deploying any applications of neural-chat-7b-v3, developers should perform safety testing.
Disclaimer
The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please cosult an attorney before using this model for commercial purposes.
Organizations developing the model
The NeuralChat team with members from Intel/SATG/AIA/AIPT. Core team members: Kaokao Lv, Liang Lv, Chang Wang, Wenxin Zhang, Xuhui Ren, and Haihao Shen.
Useful links
- Intel Neural Compressor link
- Intel Extension for Transformers link
- Intel Extension for PyTorch link
