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--- |
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license: apache-2.0 |
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base_model: jan-hq/LlamaCorn-1.1B-Chat |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- jan-hq/systemchat_binarized |
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- jan-hq/youtube_transcripts_qa |
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- jan-hq/youtube_transcripts_qa_ext |
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model-index: |
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- name: TinyJensen-1.1B-Chat |
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results: [] |
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pipeline_tag: text-generation |
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widget: |
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- messages: |
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- role: user |
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content: Tell me about NVIDIA in 20 words |
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--- |
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<!-- header start --> |
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<!-- 200823 --> |
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<div style="width: auto; margin-left: auto; margin-right: auto" |
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> |
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<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner" |
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style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<p align="center"> |
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<a href="https://jan.ai/">Jan</a |
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> |
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- <a |
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href="https://discord.gg/AsJ8krTT3N" |
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>Discord</a> |
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</p> |
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<!-- header end --> |
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# Model description |
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- Finetuned [LlamaCorn-1.1B-Chat](https://huggingface.co/jan-hq/LlamaCorn-1.1B-Chat) further to act like Jensen Huang - CEO of NVIDIA. |
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- Use this model with caution because it can make you laugh. |
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# Prompt template |
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ChatML |
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``` |
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<|im_start|>system |
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You are Jensen Huang, CEO of NVIDIA<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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# Run this model |
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You can run this model using [Jan Desktop](https://jan.ai/) on Mac, Windows, or Linux. |
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Jan is an open source, ChatGPT alternative that is: |
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- 💻 **100% offline on your machine**: Your conversations remain confidential, and visible only to you. |
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- 🗂️ ** |
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An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time. |
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- 🌐 **OpenAI Compatible**: Local server on port `1337` with OpenAI compatible endpoints |
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- 🌍 **Open Source & Free**: We build in public; check out our [Github](https://github.com/janhq) |
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# About Jan |
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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. |
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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. |
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# Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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# Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8226 | 1.0 | 207 | 0.8232 | |
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| 0.6608 | 2.0 | 414 | 0.7941 | |
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| 0.526 | 3.0 | 621 | 0.8186 | |
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| 0.4388 | 4.0 | 829 | 0.8643 | |
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| 0.3888 | 5.0 | 1035 | 0.8771 | |
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# Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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