Text Generation
PEFT
Safetensors
Eval Results
dfurman commited on
Commit
c0426b3
1 Parent(s): 0984ee8

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ Falcon-40b-chat-oasst1 is a chatbot-like model for dialogue generation. It was b
15
  - **Language(s):** English
16
  - **Base Model:** [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) (License: [Apache 2.0](https://huggingface.co/tiiuae/falcon-40b#license))
17
  - **Dataset:** [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (License: [Apache 2.0](https://huggingface.co/datasets/OpenAssistant/oasst1/blob/main/LICENSE))
18
- - **License:** Apache 2.0 License Inherited from "Base Model" and "Dataset"
19
 
20
  The model was fine-tuned in 4-bit precision using 🤗 `peft` adapters, `transformers`, and `bitsandbytes`. Training relied on a method called "Low Rank Adapters" ([LoRA](https://arxiv.org/pdf/2106.09685.pdf)), specifically the [QLoRA](https://arxiv.org/abs/2305.14314) variant. The run took approximately 10 hours and was executed on a workstation with a single A100-SXM NVIDIA GPU with 37 GB of available memory. See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model.
21
 
 
15
  - **Language(s):** English
16
  - **Base Model:** [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) (License: [Apache 2.0](https://huggingface.co/tiiuae/falcon-40b#license))
17
  - **Dataset:** [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (License: [Apache 2.0](https://huggingface.co/datasets/OpenAssistant/oasst1/blob/main/LICENSE))
18
+ - **License:** Apache 2.0 inherited from "Base Model" and "Dataset"
19
 
20
  The model was fine-tuned in 4-bit precision using 🤗 `peft` adapters, `transformers`, and `bitsandbytes`. Training relied on a method called "Low Rank Adapters" ([LoRA](https://arxiv.org/pdf/2106.09685.pdf)), specifically the [QLoRA](https://arxiv.org/abs/2305.14314) variant. The run took approximately 10 hours and was executed on a workstation with a single A100-SXM NVIDIA GPU with 37 GB of available memory. See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model.
21