Starchat Beta

🚀 StarChat-β

StarChat is a series of language models designed to serve as helpful coding assistants. StarChat-β, the second model in this series, is a fine - tuned version of StarCoderPlus. It was trained on an "uncensored" variant of the openassistant-guanaco dataset. Removing the in - built alignment of the OpenAssistant dataset enhanced its performance on the Open LLM Leaderboard and made it more effective for coding tasks. However, it may generate problematic text when prompted, and should only be used for educational and research purposes.

🚀 Quick Start

The model was fine - tuned on a variant of the OpenAssistant/oasst1 dataset, which contains a diverse range of dialogues in over 35 languages. As a result, the model can be used for chat. You can check out our demo to test its coding capabilities.

Here's how you can run the model using the pipeline() function from 🤗 Transformers:

💻 Usage Examples

Basic Usage

import torch
from transformers import pipeline

pipe = pipeline("text-generation", model="HuggingFaceH4/starchat-beta", torch_dtype=torch.bfloat16, device_map="auto")

# We use a variant of ChatML to format each message
prompt_template = "<|system|>\n<|end|>\n<|user|>\n{query}<|end|>\n<|assistant|>"
prompt = prompt_template.format(query="How do I sort a list in Python?")
# We use a special <|end|> token with ID 49155 to denote ends of a turn
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.2, top_k=50, top_p=0.95, eos_token_id=49155)
# You can sort a list in Python by using the sort() method. Here's an example:\n\n```\nnumbers = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]\nnumbers.sort()\nprint(numbers)\n```\n\nThis will sort the list in place and print the sorted list.

✨ Features

• Coding Assistance: StarChat-β is trained to be a helpful coding assistant, capable of providing solutions to various coding problems.
• Multilingual Support: It supports primarily English and over 80 programming languages.

📦 Model Details

Model Description

Model Sources

• Repository: https://github.com/bigcode-project/starcoder
• Demo: https://huggingface.co/spaces/HuggingFaceH4/starchat-playground

🔧 Technical Details

Training and evaluation data

StarChat-β is trained on an "uncensored" variant of the openassistant-guanaco dataset. We applied the same recipe used to filter the ShareGPT datasets behind the WizardLM.

Training procedure

Training hyperparameters

• learning_rate: 2e - 05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi - GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 6

Training results

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3

⚠️ Bias, Risks, and Limitations

StarChat-β has not been aligned to human preferences with techniques like RLHF or deployed with in - the - loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). Models trained primarily on code data will also have a more skewed demographic bias commensurate with the demographics of the GitHub community, for more on this see the StarCoder dataset which is derived from The Stack.

Since the base model was pretrained on a large corpus of code, it may produce code snippets that are syntactically valid but semantically incorrect. For example, it may produce code that does not compile or that produces incorrect results.
It may also produce code that is vulnerable to security exploits.
We have observed the model also has a tendency to produce false URLs which should be carefully inspected before clicking.

StarChat-β was fine - tuned from the base model StarCoderPlus, please refer to its model card's Limitations Section for relevant information. In particular, the model was evaluated on some categories of gender biases, propensity for toxicity, and risk of suggesting code completions with known security flaws; these evaluations are reported in its [technical report](https://drive.google.com/file/d/1cN - b9GnWtHzQRoE7M7gAEyivY0kl4BYs/view).

📄 License

The model is licensed under BigCode Open RAIL - M v1.

📚 Citation

Although there isn't a blog post or paper associated with StarChat-β, you can find details on the earlier version in the blog post below:

BibTeX:

@article{Tunstall2023starchat-alpha,
  author = {Tunstall, Lewis and Lambert, Nathan and Rajani, Nazneen and Beeching, Edward and Le Scao, Teven and von Werra, Leandro and Han, Sheon and Schmid, Philipp and Rush, Alexander},
  title = {Creating a Coding Assistant with StarCoder},
  journal = {Hugging Face Blog},
  year = {2023},
  note = {https://huggingface.co/blog/starchat},
}