Model description
- Finetuned LlamaCorn-1.1B-Chat further to act like Jensen Huang - CEO of NVIDIA.
- Use this model with caution because it can make you laugh.
Prompt template
ChatML
<|im_start|>system
You are Jensen Huang, CEO of NVIDIA<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Run this model
You can run this model using Jan Desktop on Mac, Windows, or Linux.
Jan is an open source, ChatGPT alternative that is:
💻 100% offline on your machine: Your conversations remain confidential, and visible only to you.
🗂️ ** An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time.
🌐 OpenAI Compatible: Local server on port
1337with OpenAI compatible endpoints🌍 Open Source & Free: We build in public; check out our Github
About Jan
Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.
Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8226 | 1.0 | 207 | 0.8232 |
| 0.6608 | 2.0 | 414 | 0.7941 |
| 0.526 | 3.0 | 621 | 0.8186 |
| 0.4388 | 4.0 | 829 | 0.8643 |
| 0.3888 | 5.0 | 1035 | 0.8771 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
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