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--- |
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base_model: Nan-Do/LeetCodeWizard_7B_V1.1 |
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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_7B_V1.1 |
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results: [] |
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model_creator: Nan-Do |
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model_name: LeetCodeWizard 7B V1.1 |
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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 7B V1.1](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1) |
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<!-- description start --> |
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## Description |
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This repo contains GGUF format model files for [LeetCodeWizard 7B V1.1](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0). (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_7B_V1.1.Q3_K.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q3_K.gguf) | Q3_K | 3 | 3.3 GB| |
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| [LeetCodeWizard_7B_V1.1.Q4_0.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q4_0.gguf) | Q4_0 | 4 | 3.83 GB| |
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| [LeetCodeWizard_7B_V1.1.Q4_1.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q4_1.gguf) | Q4_1 | 4 | 4.24 GB| |
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| [LeetCodeWizard_7B_V1.1.Q5_0.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q5_0.gguf) | Q5_0 | 5 | 4.65 GB| |
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| [LeetCodeWizard_7B_V1.1.Q5_1.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q5_1.gguf) | Q5_1 | 5 | 5.06 GB| |
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| [LeetCodeWizard_7B_V1.1.Q6_K.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q6_K.gguf) | Q6_K | 6 | 5.53 GB| |
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| [LeetCodeWizard_7B_V1.1.Q8_0.gguf](https://huggingface.co/Nan-Do/LeetCodeWizard_7B_V1.1-GGUF/resolve/main/LeetCodeWizard_7B_V1.1.Q8_0.gguf) | Q8_0 | 8 | 7.16 GB| |
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<!-- original-model-card end --> |
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