Update README.md

README.md

@@ -1,4 +1,54 @@
 ---
 license: apache-2.0
+datasets:
+- cerebras/SlimPajama-627B
+- bigcode/starcoderdata
+- OpenAssistant/oasst_top1_2023-08-25
+language:
+- en
+quantized_by:
+- kirp
+pipeline_tag: text-generation
 ---
-will be supported for llama2.mojo and llama2.c
+
+# TinyLlama-1.1B Chat v0.2 bin
+- Model creator: [PY007](https://huggingface.co/PY007)
+- Original model: [TinyLlama 1.1B Chat v0.2](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.2)
+- Github: [TinyLlama](https://github.com/jzhang38/TinyLlama)
+
+## Description
+
+This repo contains llama2.c/llama2.mojo format model files for [PY007's TinyLlama 1.1B Chat v0.2](PY007/TinyLlama-1.1B-Chat-v0.2)
+
+
+<!-- prompt-template start -->
+
+## Prompt template: TinyLlama chat
+
+```
+<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n
+```
+
+Example:
+
+```
+<|im_start|>user
+Explain huggingface.<|im_end|>
+<|im_start|>assistant
+Hugging Face is a platform for building and hosting open-source applications. It provides a simple interface for developers to build, deploy, and host any application on the web. Hugging Face offers a wide range of services, including:
+
+1. API Gateway: This service allows developers to create REST APIs that can be accessed by other Hugging Face services.
+
+2. Functions: This service provides functions that can be used for processing data and making predictions.
+
+3. Transformers: These are a set of algorithms that allow developers to process large amounts of text data and generate new content.
+
+4. Datasets: Hugging Face provides datasets that can be used to train models, evaluate them, and make predictions.
+
+5. CLI: This service provides a command-line interface for developers to build, deploy, and manage their applications.
+
+6. Documentation: This service provides documentation for the different services and features available on Hugging Face's platform.
+
+7. Community: The Hugging Face community is made up of developers, data scientists, and other experts who can provide support and resources for using and building on Hugging Face's platforms.<|im_end|>
+```
+<!-- prompt-template end -->