chore: post release tidy up

Author: baixiac

README.md

@@ -34,7 +34,7 @@ cms train --help
 
 ## Download models:
 
-CMS runs the NLP model packaged in a ZIP file or a Gzipped tarball. To download pretrained GA models, please follow the [instructions](https://github.com/CogStack/MedCAT#available-models). Contact [Cogstack]([email protected])
+CMS runs the NLP model packaged in a ZIP file or a Gzipped tarball. To download pretrained GA models, please follow the [instructions](https://medcat.readthedocs.io/en/latest/main.html#models). Contact [Cogstack]([email protected])
 if you are interested in trying out Alpha release such as the de-identification model. To serve or train existing HuggingFace NER models, you can
 package the model, either downloaded from the Hugging Face Hub or cached locally, as a ZIP or Gzipped tarball by running:
 ```commandline

docker-compose.yml

@@ -40,6 +40,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports:
@@ -87,6 +88,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports:
@@ -134,6 +136,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports:
@@ -181,6 +184,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports:
@@ -228,6 +232,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports:
@@ -275,6 +280,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports:
@@ -301,8 +307,8 @@ services:
       - ./docker/huggingface-llm/.env:/app/envs/.env:ro
     environment:
       - BASE_MODEL_FULL_PATH=$MODEL_PACKAGE_FULL_PATH
-      - CMS_MODEL_TYPE=huggingface_ner
-      - CMS_MODEL_NAME=HuggingFace NER model
+      - CMS_MODEL_TYPE=huggingface_llm
+      - CMS_MODEL_NAME=HuggingFace LLM model
       - CMS_STREAMABLE=${CMS_STREAMABLE:-false}
       - AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID
       - AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY
@@ -322,6 +328,7 @@ services:
       - http_proxy=$HTTP_PROXY
       - https_proxy=$HTTPS_PROXY
       - no_proxy=mlflow-ui,minio,graylog,auth-db,localhost
+      - COLUMNS=200
     expose:
       - 8000
     ports: