Updated the template of the model

README.md

@@ -1,3 +1,87 @@
 ---
+base_model: Nan-Do/LeetCodeWizard_7B_V1.1
+inference: false
+language:
+- en
 license: llama2
+model-index:
+- name: LeetCodeWizard_7B_V1.1
+  results: []
+model_creator: Nan-Do
+model_name: LeetCodeWizard 7B V1.1
+model_type: codellama
+prompt_template: 'Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{instruction}
+
+### Response:'
+quantized_by: Nan-Do
+tags:
+- codellama
+- instruct
+- finetune
+- leetcode
+- problem solving
 ---
+<!-- markdownlint-disable MD041 -->
+
+# LeetCodeWizard 7B V1.1 - GGUF
+- Original model: [LeetCodeWizard 7B V1.1](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0)
+
+<!-- description start -->
+## Description
+
+This repo contains GGUF format model files for [LeetCodeWizard 7B V1.1](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0).   
+(this template has been inspired by [TheBloke](https://huggingface.co/TheBloke))
+
+
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{instruction}
+
+### Response:
+```
+
+<!-- prompt-template end -->
+
+
+<!-- compatibility_gguf start -->
+## Explanation of quantisation methods
+
+<details>
+  <summary>Click to see details</summary>
+
+The new methods available are:
+
+* 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.
+* 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.
+* GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
+* 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
+
+Refer to the Provided Files table below to see what files use which methods, and how.
+</details>
+<!-- compatibility_gguf end -->
+
+<!-- README_GGUF.md-provided-files start -->
+## Provided files
+
+| Name | Quantisation method | Bits | Size |
+| ---- | :----: | ----: | ----: |
+| [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|
+| [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|
+| [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|
+| [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|
+| [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|
+| [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|
+| [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|
+
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+<!-- original-model-card end -->
+