Add model card + paper link (#1)
Browse files- Add model card + paper link (78464520d04e2460d9c68722b93ffc9d5221345e)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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- Model creator: https://huggingface.co/TechxGenus/
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- Original model: https://huggingface.co/TechxGenus/CursorCore-QW2.5-1.5B-SR/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [CursorCore-QW2.5-1.5B-SR.Q6_K.gguf](https://huggingface.co/RichardErkhov/TechxGenus_-_CursorCore-QW2.5-1.5B-SR-gguf/blob/main/CursorCore-QW2.5-1.5B-SR.Q6_K.gguf) | Q6_K | 1.19GB |
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| [CursorCore-QW2.5-1.5B-SR.Q8_0.gguf](https://huggingface.co/RichardErkhov/TechxGenus_-_CursorCore-QW2.5-1.5B-SR-gguf/blob/main/CursorCore-QW2.5-1.5B-SR.Q8_0.gguf) | Q8_0 | 1.53GB |
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Original model description:
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---
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tags:
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{
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(arr)
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}
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],
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array)
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},
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"user": ""
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array)
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},
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"user": "Add Docstring."
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array)
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},
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"user": "Add Docstring."
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array)
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},
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"user": "Add Docstring."
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}
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## Contribution
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Contributions are welcome! If you find any bugs or have suggestions for improvements, please open an issue or submit a pull request.
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---
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license: apache-2.0
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pipeline_tag: text-generation
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---
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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- Model creator: https://huggingface.co/TechxGenus/
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- Original model: https://huggingface.co/TechxGenus/CursorCore-QW2.5-1.5B-SR/
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Code: https://github.com/TechxGenus/CursorCore
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This repository contains a quantized version of the model presented in the paper [CursorCore: Assist Programming through Aligning Anything](https://huggingface.co/papers/2410.07002).
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [CursorCore-QW2.5-1.5B-SR.Q6_K.gguf](https://huggingface.co/RichardErkhov/TechxGenus_-_CursorCore-QW2.5-1.5B-SR-gguf/blob/main/CursorCore-QW2.5-1.5B-SR.Q6_K.gguf) | Q6_K | 1.19GB |
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| [CursorCore-QW2.5-1.5B-SR.Q8_0.gguf](https://huggingface.co/RichardErkhov/TechxGenus_-_CursorCore-QW2.5-1.5B-SR-gguf/blob/main/CursorCore-QW2.5-1.5B-SR.Q8_0.gguf) | Q8_0 | 1.53GB |
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Original model description:
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---
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tags:
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{
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(arr):
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if len(arr) <= 1:
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return arr
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pivot = arr[len(arr) // 2]
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left = [x for x in arr if x < pivot]
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middle = [x for x in arr if x == pivot]
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right = [x for x in arr if x > pivot]
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return quick_sort(left) + middle + quick_sort(right)"""
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}
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],
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array):
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if len(arr) <= 1:
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return arr
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pivot = arr[len(arr) // 2]
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left = [x for x in arr if x < pivot]
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middle = [x for x in arr if x == pivot]
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right = [x for x in arr if x > pivot]
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return quick_sort(left) + middle + quick_sort(right)"""
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},
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"user": ""
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}
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array):
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if len(arr) <= 1:
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return arr
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pivot = arr[len(arr) // 2]
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left = [x for x in arr if x < pivot]
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middle = [x for x in arr if x == pivot]
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right = [x for x in arr if x > pivot]
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return quick_sort(left) + middle + quick_sort(right)"""
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},
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"user": "Add Docstring."
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}
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array):
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if len(arr) <= 1:
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return arr
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pivot = arr[len(arr) // 2]
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left = [x for x in arr if x < pivot]
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middle = [x for x in arr if x == pivot]
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right = [x for x in arr if x > pivot]
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return quick_sort(left) + middle + quick_sort(right)"""
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},
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"user": "Add Docstring."
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}
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"current": {
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"type": "code",
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"lang": "python",
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"code": """def quick_sort(array):
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if len(arr) <= 1:
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return arr
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pivot = arr[len(arr) // 2]
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left = [x for x in arr if x < pivot]
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middle = [x for x in arr if x == pivot]
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right = [x for x in arr if x > pivot]
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return quick_sort(left) + middle + quick_sort(right)"""
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},
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"user": "Add Docstring."
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}
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## Contribution
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Contributions are welcome! If you find any bugs or have suggestions for improvements, please open an issue or submit a pull request.
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