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Update README.md #360

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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -74,7 +74,7 @@ Notice that the provided gpt-neo-2.7b model is **a rather weak model**, which on
unsatisfactory responses. To improve the performance, users can use their own
dataset to finetune and obtain a better model with LMFlow. One can also try
other available decoder-only models provided in
🤗 [huggingface](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads), by
🤗 [Hugging Face](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads), by

```sh
./scripts/run_chatbot.sh {another-model-name}
Expand All @@ -99,7 +99,7 @@ pip install gradio
python ./examples/chatbot_gradio.py --deepspeed configs/ds_config_chatbot.json --model_name_or_path YOUR-LLAMA --lora_model_path ./robin-7b --prompt_structure "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.###Human: {input_text}###Assistant:" --end_string "#" --max_new_tokens 200
```

We also hosted it on HuggingFace [Space](https://huggingface.co/spaces/OptimalScale/Robin-7b).
We also hosted it on Hugging Face [Space](https://huggingface.co/spaces/OptimalScale/Robin-7b).



Expand Down Expand Up @@ -189,7 +189,7 @@ We open-sourced the trained checkpoints to everyone for further training and inf

## Supported Models

Seamlessly supported all the [decoder models](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads) in 🤗 huggingface.
Seamlessly supported all the [decoder models](https://huggingface.co/models?pipeline_tag=text-generation&sort=downloads) in 🤗 Hugging Face.
LLaMA, GPT2, GPT-Neo, Galactica, have been fully tested. We will support encoder models soon.


Expand Down Expand Up @@ -273,7 +273,7 @@ We follow [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) and [Vicuna](ht

### 3.2 Run Evaluation

One can directly run evaluation with an existing huggingface model, e.g. to run
One can directly run evaluation with an existing Hugging Face model, e.g. to run
GPT2 large, one may execute
```sh
./scripts/run_evaluation.sh
Expand Down