Ali-Forootani
/

OrpoLlama-3-8B_fine_tune_trl

@@ -24,6 +24,11 @@ see more on ORPO [link](https://arxiv.org/abs/2403.07691)
 Llama 3 models also increased the context length up to 8,192 tokens (4,096 tokens for Llama 2), and potentially scale up to 32k with RoPE. Additionally, the models use a new tokenizer with a 128K-token vocabulary, reducing the number of tokens required to encode text by 15%. This vocabulary also explains the bump from 7B to 8B parameters.
 # Required packages
 ```bash
 pip install -U transformers datasets accelerate peft trl bitsandbytes wandb
@@ -244,17 +249,17 @@ Created on Wed Jul  3 15:57:22 2024
 @author: Ali forootani
 """
-"""
 !pip install -U transformers datasets accelerate peft trl bitsandbytes wandb
 !pip install -qqq flash-attn
 !pip install -qU transformers accelerate
-"""
-"""
-wandb
-https://wandb.ai/your_account
-dde689e74d3f9146d2d116b098016f5e0d9cc202
-"""
 ```python
@@ -407,188 +412,4 @@ tokenizer.push_to_hub(repo_name, use_auth_token=True)
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 Llama 3 models also increased the context length up to 8,192 tokens (4,096 tokens for Llama 2), and potentially scale up to 32k with RoPE. Additionally, the models use a new tokenizer with a 128K-token vocabulary, reducing the number of tokens required to encode text by 15%. This vocabulary also explains the bump from 7B to 8B parameters.
+## Hardware:
+- I used a Nvidia-A100 80GB GPU. Note that you need a good GPU for training and testing on lower GPU will not work!
 # Required packages
 ```bash
 pip install -U transformers datasets accelerate peft trl bitsandbytes wandb
 @author: Ali forootani
 """
+```bash
 !pip install -U transformers datasets accelerate peft trl bitsandbytes wandb
 !pip install -qqq flash-attn
 !pip install -qU transformers accelerate
+```
+_hint_
+- wandb account
+- visit: https://wandb.ai/your_account
+- wnadb token : take your wandb token and save it somewhere
 ```python
 [More Information Needed]