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- tinyllama-1.1b-chat-v0.1.Q4_0.gguf +3 -0
.gitattributes
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tinyllama-1.1b-chat-v0.1.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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datasets:
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- cerebras/SlimPajama-627B
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- bigcode/starcoderdata
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- timdettmers/openassistant-guanaco
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language:
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- en
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---
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<div align="center">
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# TinyLlama-1.1B
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</div>
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https://github.com/jzhang38/TinyLlama
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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.
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<div align="center">
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<img src="./TinyLlama_logo.png" width="300"/>
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</div>
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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.
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#### This Model
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This is the chat model finetuned on [PY007/TinyLlama-1.1B-intermediate-step-240k-503b](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-240k-503b). The dataset used is [openassistant-guananco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco).
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#### How to use
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You will need the transformers>=4.31
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Do check the [TinyLlama](https://github.com/jzhang38/TinyLlama) github page for more information.
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```python
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "PY007/TinyLlama-1.1B-Chat-v0.1"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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prompt = "What are the values in open source projects?"
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formatted_prompt = (
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f"### Human: {prompt}### Assistant:"
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)
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sequences = pipeline(
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formatted_prompt,
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do_sample=True,
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top_k=50,
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top_p = 0.7,
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num_return_sequences=1,
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repetition_penalty=1.1,
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max_new_tokens=500,
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)
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for seq in sequences:
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print(f"Result: {seq['generated_text']}")
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```
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tinyllama-1.1b-chat-v0.1.Q4_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:41f48e59f22abe7b283c42d4799f8c50b0b96d3fca11a6c29644dac32e575183
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size 636729216
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