Added template for the model
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README.md
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license: llama2
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---
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---
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base_model: Nan-Do/LeetCodeWizard_13B_v1.1a
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inference: false
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language:
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- en
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license: llama2
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model-index:
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- name: LeetCodeWizard_13B_v1.1a
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results: []
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model_creator: Nan-Do
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model_name: LeetCodeWizard 13B v1.1a
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model_type: codellama
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prompt_template: 'Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{instruction}
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### Response:'
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quantized_by: Nan-Do
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tags:
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- codellama
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- instruct
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- finetune
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- leetcode
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- problem solving
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---
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<!-- markdownlint-disable MD041 -->
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# LeetCodeWizard 7B V1.1 - GGUF
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- Original model: [LeetCodeWizard 13B v1.1a](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_v1.1a)
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<!-- description start -->
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## Description
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This repo contains GGUF format model files for [LeetCodeWizard 13B v1.1a](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_v1.1a). (model template inspired by [TheBloke](https://huggingface.co/TheBloke))
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## Prompt template: Alpaca
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{instruction}
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### Response:
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```
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<!-- prompt-template end -->
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<!-- compatibility_gguf start -->
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## Explanation of quantisation methods
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<details>
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<summary>Click to see details</summary>
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The new methods available are:
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* GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. Scales are quantized with 6 bits. This end up using 3.4375 bpw.
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* GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw.
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* GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
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* GGML_TYPE_Q6_K - "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. Scales are quantized with 8 bits. This ends up using 6.5625 bpw
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Refer to the Provided Files table below to see what files use which methods, and how.
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</details>
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<!-- compatibility_gguf end -->
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<!-- README_GGUF.md-provided-files start -->
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## Provided files
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| Name | Quantisation method | Bits | Size |
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| ---- | :----: | ----: | ----: |
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| [LeetCodeWizard_13B_V1.1a.Q3_K.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q3_K.gguf) | Q3_K | 3 | 6.34 GB|
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| [LeetCodeWizard_13B_V1.1a.Q4_0.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q4_0.gguf) | Q4_0 | 4 | 7.37 GB|
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| [LeetCodeWizard_13B_V1.1a.Q4_1.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q4_1.gguf) | Q4_1 | 4 | 8.17 GB|
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| [LeetCodeWizard_13B_V1.1a.Q5_0.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q5_0.gguf) | Q5_0 | 5 | 8.97 GB|
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| [LeetCodeWizard_13B_V1.1a.Q5_1.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q5_1.gguf) | Q5_1 | 5 | 9.78 GB|
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| [LeetCodeWizard_13B_V1.1a.Q6_K.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q6_K.gguf) | Q6_K | 6 | 10.7 GB|
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| [LeetCodeWizard_13B_V1.1a.Q8_0.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_13B_V1.1a-GGUF/resolve/main/LeetCodeWizard_13B_V1.1a.Q8_0.gguf) | Q8_0 | 8 | 13.8 GB|
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<!-- original-model-card end -->
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