Fix some issues.

Dockerfile

@@ -12,8 +12,7 @@ RUN pip3 install --upgrade pip requests tqdm
 RUN pip install torch==2.0.0
 RUN pip install semantic-version==2.10.0
 
-RUN git clone --depth=1 --branch main https://github.com/andybarry/alpaca_lora_4bit_docker.git && cd alpaca_lora_4bit
+RUN git clone --depth=1 --branch main https://github.com/andybarry/alpaca_lora_4bit_docker.git alpaca_lora_4bit && cd alpaca_lora_4bit
-# && git checkout 86387a0a3575c82e689a452c20b2c9a5cc94a0f3
 
 WORKDIR alpaca_lora_4bit
 
@@ -26,7 +25,6 @@ COPY requirements.txt requirements.txt
 RUN pip install -r requirements.txt
 
 RUN git clone --depth=1 --branch main https://github.com/andybarry/text-generation-webui-4bit.git text-generation-webui-tmp && cd text-generation-webui-tmp 
-# && git checkout 378d21e80c3d6f11a4835e57597c69e340008e2c 
 
 RUN mv -f text-generation-webui-tmp/* text-generation-webui/
 
@@ -43,4 +41,4 @@ RUN cd text-generation-webui && ln -s ../autograd_4bit.py ./autograd_4bit.py &&
 
 # Run the server
 WORKDIR /alpaca_lora_4bit/text-generation-webui
-CMD ["python", "server.py"]
+CMD ["python", "-u", "server.py", "--listen", "--chat"]

README.md

@@ -7,8 +7,8 @@ Based on https://github.com/johnsmith0031/alpaca_lora_4bit
 Can run real-time LLM chat using alpaca on a 8GB NVIDIA/CUDA GPU (ie 3070 Ti mobile)
 
 ## Requirements
-- linux with docker
+- Docker
-- nvidia GPU
+- NVIDIA GPU
 
 ## Installation
 
@@ -19,13 +19,9 @@ docker run -p 7086:7086 alpaca_lora_4bit
 Point your browser to http://localhost:7086
 
 ## Results
-It's fast on a 3070 Ti.
+It's fast on a 3070 Ti mobile.  Uses 5-6 GB of GPU RAM.
-
-### Discussion
-The model isn't all that good, sometimes it goes crazy.  But hey, "when 4-bits _you reach_ look this good you will not."
-
-But it is fast (on my 3070 Ti mobile at least)
 
+The model isn't all that good, sometimes it goes crazy.  But hey, as I always say, "when 4-bits _you reach_ look this good you will not."
 
 
 ## References