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README.md

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+---
+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
+- 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-library-etl-1.3b-Q8_0-GGUF
+This model was converted to GGUF format from [`PipableAI/pip-library-etl-1.3b`](https://huggingface.co/PipableAI/pip-library-etl-1.3b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/PipableAI/pip-library-etl-1.3b) for more details on the model.
+## Use with llama.cpp
+
+Install llama.cpp through brew.
+
+```bash
+brew install ggerganov/ggerganov/llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+
+CLI:
+
+```bash
+llama-cli --hf-repo NikolayKozloff/pip-library-etl-1.3b-Q8_0-GGUF --model pip-library-etl-1.3b.Q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+Server:
+
+```bash
+llama-server --hf-repo NikolayKozloff/pip-library-etl-1.3b-Q8_0-GGUF --model pip-library-etl-1.3b.Q8_0.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+```
+git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m pip-library-etl-1.3b.Q8_0.gguf -n 128
+```