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v0.3.7
ColossalAI
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applications
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Colossal-LLaMA
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colossal_llama
[Feature] Support LLaMA-3 CPT and ST (#5619)
2 года назад
docs
[Feature] Support LLaMA-3 CPT and ST (#5619)
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README.md
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hostfile.example
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inference_example.py
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prepare_pretrain_dataset.py
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prepare_sft_dataset.py
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requirements.txt
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stream_chat_example.py
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train.example.sh
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train.py
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train_sft.example.sh
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version.txt
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Table of Contents
News
Colossal-LLaMA-2-7B
Colossal-LLaMA-2-13B
Performance Evaluation
Model with ~7 Billion Parameters
Model with ~13 Billion Parameters
Examples
Training Logs
Colossal-LLaMA-2-7b-base
Colossal-LLaMA-2-13b-base
Inference
Import from HuggingFace
Import from Modelscope
Quick Start
Usage
Install
0. Pre-requisite
1. Install required packages
2. Install `xentropy`, `layernorm` and `rotary`
How to run
1. Init Tokenizer Preparation
2. Init Model Preparation
3. Data Preparation
3.1 Data for Pretraining
3.2 Data for Supervised Fine-tuning
4. Command Line Arguments for Training
4.1 Arguments for Pretraining
4.2 Arguments for Supervised Fine-tuning
5. Running Command
5.1 Command for Pretraining
5.2 Command for Supervised Fine-tuning
Technical Insights
Data
Tokenizer
Training Strategy
Multi-stage Training
Bucket-based Training
Bridging Any Domain-specific Large Models
Citations
README.md