metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - python
  - java
  - cpp
  - sql
  - function calling
  - unit tests
  - causalLM
  - codeLLAMA modified archi
  - document
  - code
  - code2doc
  - instruction_tuned
  - basemodel
  - pytorch
  - docstring
  - documentation
  - text-generation-inference
  - plan
  - planner
  - llama-cpp
  - gguf-my-repo
metrics:
  - accuracy
pipeline_tag: text-generation
widget:
  - text: >-
      <example_response>--code:def function_divide2(x): return x /
      2--question:Document the code--doc:Description:This function takes a
      number and divides it by 2.Parameters:- x (numeric): The input value to be
      divided by 2.Returns:- float: The result of x divided by 2.Example:To call
      the function, use the following
      code:function_divide2(1.0)</example_response><function_code>def
      _plot_bounding_polygon(polygons_coordinates,
      output_html_path=bounding_polygon_map.html):map_center = [sum([coord[0]for
      polygon_coords in polygons_coordinatesfor coord in polygon_coords])/
      sum([len(polygon_coords) for polygon_coords in
      polygons_coordinates]),sum([coord[1]for polygon_coords in
      polygons_coordinatesfor coord in polygon_coords])/
      sum([len(polygon_coords) for polygon_coords in
      polygons_coordinates]),]my_map = folium.Map(location=map_center,
      zoom_start=12)for polygon_coords in
      polygons_coordinates:folium.Polygon(locations=polygon_coords,color=blue,fill=True,fill_color=blue,fill_opacity=0.2,).add_to(my_map)marker_cluster
      = MarkerCluster().add_to(my_map)for polygon_coords in
      polygons_coordinates:for coord in
      polygon_coords:folium.Marker(location=[coord[0], coord[1]],
      popup=fCoordinates: {coord}).add_to(marker_cluster)draw =
      Draw(export=True)draw.add_to(my_map)my_map.save(output_html_path)return
      output_html_path</function_code><question>Document the python code above
      giving function description ,parameters and return type and example how to
      call the function</question><doc>
    example_title: example

NikolayKozloff/pip-code-bandit-Q8_0-GGUF

This model was converted to GGUF format from PipableAI/pip-code-bandit using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo NikolayKozloff/pip-code-bandit-Q8_0-GGUF --model pip-code-bandit.Q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo NikolayKozloff/pip-code-bandit-Q8_0-GGUF --model pip-code-bandit.Q8_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m pip-code-bandit.Q8_0.gguf -n 128