[LLM] Transformers int4 example small typo fixes (intel#8550)

Author: Oscilloscope98

python/llm/example/transformers/transformers_int4/falcon/README.md

@@ -29,8 +29,8 @@ from huggingface_hub import snapshot_download
 
 # for tiiuae/falcon-7b-instruct
 model_path = snapshot_download(repo_id='tiiuae/falcon-7b-instruct',
-                                revision="c7f670a03d987254220f343c6b026ea0c5147185",
-                                cache_dir="dir/path/where/model/files/are/downloaded")
+                               revision="c7f670a03d987254220f343c6b026ea0c5147185",
+                               cache_dir="dir/path/where/model/files/are/downloaded")
 print(f'tiiuae/falcon-7b-instruct checkpoint is downloaded to {model_path}')
 
 # for tiiuae/falcon-40b-instruct

python/llm/example/transformers/transformers_int4/mpt/README.md

@@ -22,7 +22,7 @@ python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROM
 ```
 
 Arguments info:
-- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the MPT model (e.g. `mosaicml/mpt-7b-chat` and `mosaicml/mpt-7b-chat`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'mosaicml/mpt-7b-chat'`.
+- `--repo-id-or-model-path REPO_ID_OR_MODEL_PATH`: argument defining the huggingface repo id for the MPT model (e.g. `mosaicml/mpt-7b-chat` and `mosaicml/mpt-30b-chat`) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be `'mosaicml/mpt-7b-chat'`.
 - `--prompt PROMPT`: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be `'What is AI?'`.
 - `--n-predict N_PREDICT`: argument defining the max number of tokens to predict. It is default to be `32`.
 
@@ -67,6 +67,7 @@ AI, or artificial intelligence, is the simulation of human intelligence in machi
 
 #### [mosaicml/mpt-30b-chat](https://huggingface.co/mosaicml/mpt-30b-chat)
 ```log
+Inference time: xxxx s
 -------------------- Prompt --------------------
 <|im_start|>user
 What is AI?<|im_end|>

python/llm/example/transformers/transformers_int4/mpt/generate.py

@@ -29,7 +29,7 @@
     parser = argparse.ArgumentParser(description='Predict Tokens using `generate()` API for MPT model')
     parser.add_argument('--repo-id-or-model-path', type=str, default="mosaicml/mpt-7b-chat",
                         help='The huggingface repo id for the MPT models'
-                             '(e.g. `mosaicml/mpt-7b-chat` and `mosaicml/mpt-7b-chat`) to be downloaded'
+                             '(e.g. `mosaicml/mpt-7b-chat` and `mosaicml/mpt-30b-chat`) to be downloaded'
                              ', or the path to the huggingface checkpoint folder')
     parser.add_argument('--prompt', type=str, default="What is AI?",
                         help='Prompt to infer')