Run the 1B model for the sake of user's patience

Dockerfile

@@ -13,7 +13,6 @@ RUN curl -fsSL https://ollama.com/install.sh | sh
 RUN mkdir /app && chmod 777 /app
 
 # Copy only the necessary files into the container
-COPY Modelfile /app/Modelfile
 COPY start.sh /app/start.sh
 
 # Set the working directory

Modelfile

@@ -1,53 +0,0 @@
-FROM ./llama.gguf
-
-SYSTEM """You are a helpful AI assistant. Respond to users accurately."""
-
-TEMPLATE """<|start_header_id|>system<|end_header_id|>
-
-Cutting Knowledge Date: December 2023
-
-{{ if .System }}{{ .System }}
-{{- end }}
-{{- if .Tools }}When you receive a tool call response, use the output to format an answer to the orginal user question.
-
-You are a helpful assistant with tool calling capabilities.
-{{- end }}<|eot_id|>
-{{- range $i, $_ := .Messages }}
-{{- $last := eq (len (slice $.Messages $i)) 1 }}
-{{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|>
-{{- if and $.Tools $last }}
-
-Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.
-
-Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
-
-{{ range $.Tools }}
-{{- . }}
-{{ end }}
-{{ .Content }}<|eot_id|>
-{{- else }}
-
-{{ .Content }}<|eot_id|>
-{{- end }}{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
-
-{{ end }}
-{{- else if eq .Role "assistant" }}<|start_header_id|>assistant<|end_header_id|>
-{{- if .ToolCalls }}
-{{ range .ToolCalls }}
-{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
-{{- else }}
-
-{{ .Content }}
-{{- end }}{{ if not $last }}<|eot_id|>{{ end }}
-{{- else if eq .Role "tool" }}<|start_header_id|>ipython<|end_header_id|>
-
-{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
-
-{{ end }}
-{{- end }}
-{{- end }}
-"""
-
-PARAMETER stop "<|start_header_id|>"
-PARAMETER stop "<|end_header_id|>"
-PARAMETER stop "<|eot_id|>"

start.sh

@@ -11,7 +11,7 @@ ollama serve &
 sleep 10
 
 # Create the model using Ollama
-ollama run hf.co/mano-wii/llama3.2-3B-tunned-for-blender:Q5_K_M
+ollama run hf.co/mano-wii/llama3.2-1B-tunned-for-blender:Q4_K_M
 
 # Keep the container running indefinitely
 tail -f /dev/null