Update README.md

README.md

@@ -22,9 +22,10 @@ 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==4.29.2
+pip install transformers==4.30.1
 pip install accelerate==0.20.3
 pip install torch==2.0.0
+pip install tiktoken==0.4.0
 ```
 
 ```python
@@ -32,7 +33,7 @@ import torch
 from transformers import pipeline
 
 generate_text = pipeline(
-    model="psinger/h2ogpt-gm-oasst1-en-xgen-7b-8k",
+    model="h2oai/h2ogpt-gm-oasst1-en-xgen-7b-8k",
     torch_dtype="auto",
     trust_remote_code=True,
     use_fast=True,
@@ -70,13 +71,13 @@ from h2oai_pipeline import H2OTextGenerationPipeline
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 tokenizer = AutoTokenizer.from_pretrained(
-    "psinger/h2ogpt-gm-oasst1-en-xgen-7b-8k",
+    "h2oai/h2ogpt-gm-oasst1-en-xgen-7b-8k",
     use_fast=True,
     padding_side="left",
     trust_remote_code=True,
 )
 model = AutoModelForCausalLM.from_pretrained(
-    "psinger/h2ogpt-gm-oasst1-en-xgen-7b-8k",
+    "h2oai/h2ogpt-gm-oasst1-en-xgen-7b-8k",
     torch_dtype="auto",
     device_map={"": "cuda:0"},
     trust_remote_code=True,
@@ -173,16 +174,6 @@ 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-xgen-7b-8k --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.