Text Generation
PEFT
Safetensors
Eval Results
dfurman commited on
Commit
88615c1
•
1 Parent(s): 91d2fdd

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -7,20 +7,20 @@ language:
7
  - en
8
  ---
9
 
10
- # Falcon-40b-chat-oasst1
11
 
12
  Falcon-40b-chat-oasst1 is a chatbot-like model for dialogue generation. It was built by fine-tuning [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) on the [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
13
 
14
  ## Model Summary
15
 
16
- 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.
17
-
18
  - **Model Type:** Causal decoder-only
19
  - **Language(s):** English
20
  - **Base Model:** [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) (License: [TII Falcon LLM License](https://huggingface.co/tiiuae/falcon-40b#license))
21
  - **Dataset:** [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (License: [Apache 2.0](https://huggingface.co/datasets/OpenAssistant/oasst1/blob/main/LICENSE))
22
  - **License:** Inherited from the above "Base Model" and "Dataset"
23
 
 
 
24
  ### Model Date
25
 
26
  May 30, 2023
 
7
  - en
8
  ---
9
 
10
+ # 🚀 Falcon-40b-chat-oasst1
11
 
12
  Falcon-40b-chat-oasst1 is a chatbot-like model for dialogue generation. It was built by fine-tuning [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) on the [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
13
 
14
  ## Model Summary
15
 
 
 
16
  - **Model Type:** Causal decoder-only
17
  - **Language(s):** English
18
  - **Base Model:** [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) (License: [TII Falcon LLM License](https://huggingface.co/tiiuae/falcon-40b#license))
19
  - **Dataset:** [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (License: [Apache 2.0](https://huggingface.co/datasets/OpenAssistant/oasst1/blob/main/LICENSE))
20
  - **License:** Inherited from the above "Base Model" and "Dataset"
21
 
22
+ 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.
23
+
24
  ### Model Date
25
 
26
  May 30, 2023