readme

README.md

@@ -1,3 +1,133 @@
 ---
-license: bigcode-openrail-m
+license: bsd-3-clause
 ---
+# starcoder-toolbench
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+starcoder-toolbench is a 15 billion parameter model used for api based action generation. It is instruction tuned from [starcoder](https://huggingface.co/bigcode/starcoder) on api based action generation datasets.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **Developed by:** [SambaNova Systems](https://sambanova.ai/)
+- **Model type:** Language Model
+- **Language(s):** English
+- **License:** 
+- **Finetuned from model:** [starcoder](https://huggingface.co/bigcode/starcoder)
+
+### Basic Information
+
+<!-- Provide the basic links for the model. -->
+- **Paper**: [Link]
+- **Github**: [Link]
+
+### Licensing
+
+TBD
+
+## Uses
+<details>
+<summary>Click to expand</summary>
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+This model is intended for commercial and research use.
+
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+
+starcoder-toolbench should NOT be used for purpose other than API based action generation.
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users should be made aware of the risks, biases, limitations, and restrictions of the model, which are listed down at the bottom of the page. 
+
+</details>
+
+
+---
+## How to Get Started with the Model
+
+<details>
+<summary>Click to expand</summary>
+
+### Loading in model with Huggingface
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/starcoder-toolbench")
+model = AutoModelForCausalLM.from_pretrained("sambanovasystems/starcoder-toolbench", device_map="auto", torch_dtype="auto")
+```
+
+</details>
+
+---
+
+## Training Details
+
+<details>
+<summary>Click to expand</summary>
+
+### Training Data
+
+<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+- [Fenglu to add](https://huggingface.co/datasets/laion/OIG)
+
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+We trained starcoder-toolbench on 4 80GB A100 gpu's. We started from [starcoder](https://huggingface.co/bigcode/starcoder). We finetuned it on XXX dataset. 
+All of the code used to prepare the datasets and the scripts to run training and inference are open-sourced and freely available at [githublink here](dummy link)
+
+
+### Prompting Style Used For Training
+```
+
+```
+
+### Hyperparameters
+
+- Hardware: A100 GPU
+- Optimizer: AdamW
+- Grad accumulation: 1
+- Epochs: 8
+- Global Batch size: 16
+- Batch tokens: 16 * 2048 = 32,768 tokens
+- Learning Rate: 1e-5
+- Learning Rate Scheduler: Fixed LR
+- Weight decay: 0.1
+
+
+</details>
+
+
+
+## Acknowledgment
+
+
+## Cite starcoder-toolbench
+```
+@software{bloomchat,
+  title = {{BLOOMChat: a New Open Multilingual Chat LLM}},
+  author = {SambaNova Systems, Together Computer},
+  url = {https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1}
+  month = {5},
+  year = {2023},
+  version = {1.0},
+}
+```