Update README.md

README.md

@@ -14,7 +14,7 @@ thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources
 ## Summary
 
 This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
-- Base model: [/home/fsuser/weights/open_llama_7b_preview_300bt/open_llama_7b_preview_300bt_transformers_weights](https://huggingface.co//home/fsuser/weights/open_llama_7b_preview_300bt/open_llama_7b_preview_300bt_transformers_weights)
+- Base model: [openlm-research/open_llama_7b_preview_300bt]https://huggingface.co/openlm-research/open_llama_7b_preview_300bt)
 
 
 ## Usage
@@ -159,16 +159,6 @@ 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=psinger/h2ogpt-gm-oasst1-en-2048-open-llama-7b-preview-300bt --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.