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README.md

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+---
+license: apache-2.0
+base_model: BEE-spoke-data/beecoder-220M-python
+datasets:
+- BEE-spoke-data/pypi_clean-deduped
+- bigcode/the-stack-smol-xl
+- EleutherAI/proof-pile-2
+language:
+- en
+tags:
+- python
+- codegen
+- markdown
+- smol_llama
+- llama-cpp
+- gguf-my-repo
+metrics:
+- accuracy
+inference:
+  parameters:
+    max_new_tokens: 64
+    min_new_tokens: 8
+    do_sample: true
+    epsilon_cutoff: 0.0008
+    temperature: 0.3
+    top_p: 0.9
+    repetition_penalty: 1.02
+    no_repeat_ngram_size: 8
+    renormalize_logits: true
+widget:
+- text: "def add_numbers(a, b):\n    return\n"
+  example_title: Add Numbers Function
+- text: "class Car:\n    def __init__(self, make, model):\n        self.make = make\n\
+    \        self.model = model\n\n    def display_car(self):\n"
+  example_title: Car Class
+- text: 'import pandas as pd
+
+    data = {''Name'': [''Tom'', ''Nick'', ''John''], ''Age'': [20, 21, 19]}
+
+    df = pd.DataFrame(data).convert_dtypes()
+
+    # eda
+
+    '
+  example_title: Pandas DataFrame
+- text: "def factorial(n):\n    if n == 0:\n        return 1\n    else:\n"
+  example_title: Factorial Function
+- text: "def fibonacci(n):\n    if n <= 0:\n        raise ValueError(\"Incorrect input\"\
+    )\n    elif n == 1:\n        return 0\n    elif n == 2:\n        return 1\n  \
+    \  else:\n"
+  example_title: Fibonacci Function
+- text: 'import matplotlib.pyplot as plt
+
+    import numpy as np
+
+    x = np.linspace(0, 10, 100)
+
+    # simple plot
+
+    '
+  example_title: Matplotlib Plot
+- text: "def reverse_string(s:str) -> str:\n    return\n"
+  example_title: Reverse String Function
+- text: "def is_palindrome(word:str) -> bool:\n    return\n"
+  example_title: Palindrome Function
+- text: "def bubble_sort(lst: list):\n    n = len(lst)\n    for i in range(n):\n \
+    \       for j in range(0, n-i-1):\n"
+  example_title: Bubble Sort Function
+- text: "def binary_search(arr, low, high, x):\n    if high >= low:\n        mid =\
+    \ (high + low) // 2\n        if arr[mid] == x:\n            return mid\n     \
+    \   elif arr[mid] > x:\n"
+  example_title: Binary Search Function
+pipeline_tag: text-generation
+---
+
+# ysn-rfd/beecoder-220M-python-Q8_0-GGUF
+This model was converted to GGUF format from [`BEE-spoke-data/beecoder-220M-python`](https://huggingface.co/BEE-spoke-data/beecoder-220M-python) 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/BEE-spoke-data/beecoder-220M-python) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo ysn-rfd/beecoder-220M-python-Q8_0-GGUF --hf-file beecoder-220m-python-q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo ysn-rfd/beecoder-220M-python-Q8_0-GGUF --hf-file beecoder-220m-python-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.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo ysn-rfd/beecoder-220M-python-Q8_0-GGUF --hf-file beecoder-220m-python-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo ysn-rfd/beecoder-220M-python-Q8_0-GGUF --hf-file beecoder-220m-python-q8_0.gguf -c 2048
+```