Update README.md

README.md

@@ -8,7 +8,11 @@ tags:
 - large language model
 - h2o-llmstudio
 inference: false
-thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
+thumbnail: >-
+  https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
+license: apache-2.0
+datasets:
+- OpenAssistant/oasst1
 ---
 # Model Card
 ## Summary
@@ -22,7 +26,7 @@ This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmst
 To use the model with the `transformers` library on a machine with GPUs, first make sure you have the `transformers`, `accelerate` and `torch` libraries installed.
 
 ```bash
-pip install transformers==4.30.0.dev0
+pip install transformers==4.29.2
 pip install accelerate==0.19.0
 pip install torch==2.0.0
 ```
@@ -173,16 +177,6 @@ LlamaForCausalLM(
 
 This model was trained using H2O LLM Studio and with the configuration in [cfg.yaml](cfg.yaml). Visit [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio) to learn how to train your own large language models.
 
-
-## Model Validation
-
-Model validation results using [EleutherAI lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness).
-
-```bash
-CUDA_VISIBLE_DEVICES=0 python main.py --model hf-causal-experimental --model_args pretrained=h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b --tasks openbookqa,arc_easy,winogrande,hellaswag,arc_challenge,piqa,boolq --device cuda &> eval.log
-```
-
-
 ## Disclaimer
 
 Please read this disclaimer carefully before using the large language model provided in this repository. Your use of the model signifies your agreement to the following terms and conditions.