Text Generation
Transformers
Safetensors
English
llama
python
codegen
markdown
smol_llama
text-generation-inference
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+ ---
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+ license: apache-2.0
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+ source_model: BEE-spoke-data/smol_llama-220M-GQA
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+ datasets:
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+ - BEE-spoke-data/pypi_clean-deduped
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+ - bigcode/the-stack-smol-xl
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+ - EleutherAI/proof-pile-2
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+ language:
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+ - en
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+ tags:
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+ - python
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+ - codegen
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+ - markdown
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+ - smol_llama
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+ metrics:
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+ - accuracy
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+ inference:
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+ parameters:
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+ max_new_tokens: 48
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+ min_new_tokens: 8
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+ num_beams: 3
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+ early_stopping: true
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+ repetition_penalty: 1.1
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+ no_repeat_ngram_size: 6
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+ renormalize_logits: true
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+ widget:
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+ - text: |
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+ def add_numbers(a, b):
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+ return
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+ example_title: Add Numbers Function
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+ - text: |
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+ class Car:
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+ def __init__(self, make, model):
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+ self.make = make
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+ self.model = model
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+
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+ def display_car(self):
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+ example_title: Car Class
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+ - text: |
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+ import pandas as pd
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+ data = {'Name': ['Tom', 'Nick', 'John'], 'Age': [20, 21, 19]}
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+ df = pd.DataFrame(data).convert_dtypes()
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+ # eda
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+ example_title: Pandas DataFrame
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+ - text: |
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+ def factorial(n):
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+ if n == 0:
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+ return 1
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+ else:
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+ example_title: Factorial Function
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+ - text: |
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+ def fibonacci(n):
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+ if n <= 0:
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+ raise ValueError("Incorrect input")
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+ elif n == 1:
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+ return 0
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+ elif n == 2:
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+ return 1
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+ else:
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+ example_title: Fibonacci Function
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+ - text: |
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+ import matplotlib.pyplot as plt
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+ import numpy as np
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+ x = np.linspace(0, 10, 100)
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+ # simple plot
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+ example_title: Matplotlib Plot
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+ - text: |
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+ def reverse_string(s:str) -> str:
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+ return
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+ example_title: Reverse String Function
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+ - text: |
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+ def is_palindrome(word:str) -> bool:
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+ return
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+ example_title: Palindrome Function
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+ - text: |
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+ def bubble_sort(lst: list):
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+ n = len(lst)
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+ for i in range(n):
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+ for j in range(0, n-i-1):
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+ example_title: Bubble Sort Function
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+ - text: |
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+ def binary_search(arr, low, high, x):
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+ if high >= low:
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+ mid = (high + low) // 2
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+ if arr[mid] == x:
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+ return mid
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+ elif arr[mid] > x:
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+ example_title: Binary Search Function
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # BEE-spoke-data/beecoder-220M-python
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+
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+
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+ > model card WIP, more details to come.
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+
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+
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+ This is `BEE-spoke-data/pypi_clean-deduped` fine-tuned for code generation on:
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+
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+ - filtered version of stack-smol-XL
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+ - deduped version of 'algebraic stack' from proof-pile-2
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+ - cleaned and deduped pypi (last dataset)