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license: apache-2.0 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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This model is a fine-tuned model for Chat based on [mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b) with **max_seq_lenght=2048** on the [instruction-dataset-for-neural-chat-v1](https://huggingface.co/datasets/Intel/instruction-dataset-for-neural-chat-v1), [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k), [HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3) and [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset. |
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## Model date |
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Neural-chat-7b-v1.1 was trained on July 6, 2023. |
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## Evaluation |
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We use the same evaluation metrics as [open_llm_leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) which uses [Eleuther AI Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/master), a unified framework to test generative language models on a large number of different evaluation tasks. |
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| Model | Average ⬆️| ARC (25-s) ⬆️ | HellaSwag (10-s) ⬆️ | MMLU (5-s) ⬆️| TruthfulQA (MC) (0-s) ⬆️ | |
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| --- | --- | --- | --- | --- | --- | |
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|[mosaicml/mpt-7b](https://huggingface.co/mosaicml/mpt-7b)| 47.4 | 47.61 | 77.56 | 31 | 33.43 | |
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| [mosaicml/mpt-7b-chat](https://huggingface.co/mosaicml/mpt-7b-chat) | **49.95** | 46.5 | 75.55 | 37.60 | 40.17 | |
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| **Ours** | **51.41** | 50.09 | 76.69 | 38.79 | 40.07 | |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.02 |
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- num_epochs: 3.0 |
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## Inference with transformers |
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```shell |
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import transformers |
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model = transformers.AutoModelForCausalLM.from_pretrained( |
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'Intel/neural-chat-7b-v1.1', |
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trust_remote_code=True |
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) |
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``` |
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## Inference with INT8 |
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Follow the instructions [link](https://github.com/intel/intel-extension-for-transformers/tree/main/examples/huggingface/pytorch/text-generation/quantization) to install the necessary dependencies. Use the below command to quantize the model using Intel Neural Compressor [link](https://github.com/intel/neural-compressor) and accelerate the inference. |
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```shell |
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python run_generation.py \ |
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--model Intel/neural-chat-7b-v1.1 \ |
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--revision c8d4750ac8421303665d6ecc253950c69b56d324 \ |
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--quantize \ |
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--sq \ |
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--alpha 0.95 \ |
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--ipex |
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``` |
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## Organizations developing the model |
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The NeuralChat team with members from Intel/SATG/AIA/AIPT. Core team members: Kaokao Lv, Xuhui Ren, Liang Lv, Wenxin Zhang, and Haihao Shen. |
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## Useful links |
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* Intel Neural Compressor [link](https://github.com/intel/neural-compressor) |
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* Intel Extension for Transformers [link](https://github.com/intel/intel-extension-for-transformers) |
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* Intel Extension for PyTorch [link](https://github.com/intel/intel-extension-for-pytorch) |
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