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Model: Deathsquad10/TinyLlama-repeat
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- cerebras/SlimPajama-627B
+- bigcode/starcoderdata
+- HuggingFaceH4/ultrachat_200k
+- HuggingFaceH4/ultrafeedback_binarized
+language:
+- en
+widget:
+- text: "<|system|>\nYou are a chatbot who can help code!</s>\n<|user|>\nWrite out the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.</s>\n<|assistant|>\n"
+---
+<div align="center">
+
+# TinyLlama-1.1B ---My personal Test update Version 2
+
+|    Tasks    |Version|Filter|n-shot| Metric |Value |   |Stderr|
+|-------------|-------|------|-----:|--------|-----:|---|-----:|
+|arc_challenge|Yaml   |none  |     0|acc     |0.3046|±  |0.0134|
+|             |       |none  |     0|acc_norm|0.3234|±  |0.0137|
+|arc_easy     |Yaml   |none  |     0|acc     |0.6077|±  |0.0100|
+|             |       |none  |     0|acc_norm|0.5307|±  |0.0102|
+|boolq        |Yaml   |none  |     0|acc     |0.5948|±  |0.0086|
+|hellaswag    |Yaml   |none  |     0|acc     |0.4601|±  |0.0050|
+|             |       |none  |     0|acc_norm|0.5987|±  |0.0049|
+|openbookqa   |Yaml   |none  |     0|acc     |0.2420|±  |0.0192|
+|             |       |none  |     0|acc_norm|0.3500|±  |0.0214|
+|piqa         |Yaml   |none  |     0|acc     |0.7410|±  |0.0102|
+|             |       |none  |     0|acc_norm|0.7405|±  |0.0102|
+|winogrande   |Yaml   |none  |     0|acc     |0.6093|±  |0.0137|
+</div>
+
+
+https://github.com/jzhang38/TinyLlama
+
+The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01. 
+
+
+We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
+
+#### This Model
+This is the chat model finetuned on top of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T). **We follow [HF's Zephyr](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/edit/main/README.md)'s training recipe.** The model was " initially fine-tuned on a variant of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. 
+We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contain 64k prompts and model completions that are ranked by GPT-4." 
+
+
+#### How to use
+You will need the transformers>=4.34
+Do check the [TinyLlama](https://github.com/jzhang38/TinyLlama) github page for more information.
+
+```python
+# Install transformers from source - only needed for versions <= v4.34
+# pip install git+https://github.com/huggingface/transformers.git
+# pip install accelerate
+import torch
+from transformers import pipeline
+pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
+# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+messages = [
+    {
+        "role": "system",
+        "content": "You are a friendly chatbot who always responds in the style of a pirate",
+    },
+    {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
+]
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+# <|system|>
+# You are a friendly chatbot who always responds in the style of a pirate.</s>
+# <|user|>
+# How many helicopters can a human eat in one sitting?</s>
+# <|assistant|>
+# ...
+```