mlabonne commited on
Commit
893b350
β€’
1 Parent(s): 3c86b75

Upload folder using huggingface_hub

Browse files
Files changed (4) hide show
  1. Dockerfile +24 -0
  2. README.md +4 -4
  3. app.py +52 -0
  4. requirements.txt +2 -0
Dockerfile ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Use an alias for the base image for easier updates
2
+ FROM python:3.10 as base
3
+
4
+ # Set model
5
+ ENV MODEL=mlabonne/AlphaMonarch-7B-GGUF
6
+ ENV QUANT=Q4_K_M
7
+ ENV CHAT_TEMPLATE=mistral-instruct
8
+
9
+ # Set the working directory
10
+ WORKDIR /app
11
+
12
+ # Install Python requirements
13
+ COPY ./requirements.txt /app/
14
+ RUN pip install --no-cache-dir --upgrade -r requirements.txt
15
+
16
+ # Download model
17
+ RUN MODEL_NAME_FILE=$(echo ${MODEL#*/} | tr '[:upper:]' '[:lower:]' | sed 's/-gguf$//') && \
18
+ wget https://huggingface.co/${MODEL}/resolve/main/${MODEL_NAME_FILE}.${QUANT}.gguf -O model.gguf
19
+
20
+ # Copy the rest of your application
21
+ COPY . .
22
+
23
+ # Command to run the application
24
+ CMD ["python", "app.py"]
README.md CHANGED
@@ -1,10 +1,10 @@
1
  ---
2
  title: AlphaMonarch 7B GGUF Chat
3
- emoji: πŸ¦€
4
- colorFrom: green
5
- colorTo: gray
6
  sdk: docker
7
  pinned: false
8
  ---
9
 
10
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
2
  title: AlphaMonarch 7B GGUF Chat
3
+ emoji: πŸ‘‘
4
+ colorFrom: purple
5
+ colorTo: yellow
6
  sdk: docker
7
  pinned: false
8
  ---
9
 
10
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import json
3
+ import gradio as gr
4
+ from llama_cpp import Llama
5
+
6
+ # Get environment variables
7
+ model_id = os.getenv('MODEL')
8
+ quant = os.getenv('QUANT')
9
+ chat_template = os.getenv('CHAT_TEMPLATE')
10
+
11
+ # Interface variables
12
+ model_name = model_id.split('/')[1].split('-GGUF')[0]
13
+ title = f"πŸ‘‘ {model_name}"
14
+ description = f"Chat with <a href=\"https://huggingface.co/{model_id}\">{model_name}</a> in GGUF format ({quant})!"
15
+
16
+ # Initialize the LLM
17
+ llm = Llama(model_path="model.gguf",
18
+ n_ctx=32768,
19
+ n_threads=2,
20
+ chat_format=chat_template)
21
+
22
+ # Function for streaming chat completions
23
+ def chat_stream_completion(message, history, system_prompt):
24
+ messages_prompts = [{"role": "system", "content": system_prompt}]
25
+ for human, assistant in history:
26
+ messages_prompts.append({"role": "user", "content": human})
27
+ messages_prompts.append({"role": "assistant", "content": assistant})
28
+ messages_prompts.append({"role": "user", "content": message})
29
+
30
+ response = llm.create_chat_completion(
31
+ messages=messages_prompts,
32
+ stream=True
33
+ )
34
+ message_repl = ""
35
+ for chunk in response:
36
+ if len(chunk['choices'][0]["delta"]) != 0 and "content" in chunk['choices'][0]["delta"]:
37
+ message_repl = message_repl + chunk['choices'][0]["delta"]["content"]
38
+ yield message_repl
39
+
40
+ # Gradio chat interface
41
+ gr.ChatInterface(
42
+ fn=chat_stream_completion,
43
+ title=title,
44
+ description=description,
45
+ additional_inputs=[gr.Textbox("You are helpful assistant.")],
46
+ additional_inputs_accordion="πŸ“ System prompt",
47
+ examples=[
48
+ ["What is a Large Language Model?"],
49
+ ["What's 9+2-1?"],
50
+ ["Write Python code to print the Fibonacci sequence"]
51
+ ]
52
+ ).queue().launch(server_name="0.0.0.0")
requirements.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ llama-cpp-python
2
+ gradio