second-state/WizardCoder-Python-7B-v1.0-GGUF

1---2license: llama23library_name: transformers4tags:5- code6metrics:7- code_eval8base_model: WizardLM/WizardCoder-Python-7b-V1.09inference: false10model_creator: WizardLM11model_type: llama12pipeline_tag: text-generation13quantized_by: Second State Inc.14---15 16<!-- header start -->17<!-- 200823 -->18<div style="width: auto; margin-left: auto; margin-right: auto">19<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">20</div>21<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">22<!-- header end -->23 24# WizardCoder-Python-7B-v1.0-GGUF25 26## Original Model27 28[WizardLM/WizardCoder-Python-7b-V1.0](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0)29 30## Run with LlamaEdge31 32- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above33 34- Prompt template35 36  - Prompt type: `wizard-coder`37 38  - Prompt string39 40    ```text41    Below is an instruction that describes a task. Write a response that appropriately completes the request.42 43    \### Instruction:44    {instruction}45 46    \### Response:47    ```48 49    **Note that the \ character is used to escape the ### in the prompt string. Remove it in the practical use.**50 51- Context size: `4096`52 53- Run as LlamaEdge service54 55  ```bash56  wasmedge --dir .:. --nn-preload default:GGML:AUTO:WizardCoder-Python-7B-V1.0-Q5_K_M.gguf llama-api-server.wasm -p wizard-coder57  ```58 59- Run as LlamaEdge command app60 61  ```bash62  wasmedge --dir .:. --nn-preload default:GGML:AUTO:WizardCoder-Python-7B-V1.0-Q5_K_M.gguf llama-chat.wasm -p wizard-coder -s 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'63  ```64 65## Quantized GGUF Models66 67| Name | Quant method | Bits | Size | Use case |68| ---- | ---- | ---- | ---- | ----- |69| [WizardCoder-Python-7B-V1.0-Q2_K.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q2_K.gguf)     | Q2_K   | 2 | 2.53 GB| smallest, significant quality loss - not recommended for most purposes |70| [WizardCoder-Python-7B-V1.0-Q3_K_L.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q3_K_L.gguf) | Q3_K_L | 3 | 3.60 GB| small, substantial quality loss |71| [WizardCoder-Python-7B-V1.0-Q3_K_M.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q3_K_M.gguf) | Q3_K_M | 3 | 3.30 GB| very small, high quality loss |72| [WizardCoder-Python-7B-V1.0-Q3_K_S.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q3_K_S.gguf) | Q3_K_S | 3 | 2.95 GB| very small, high quality loss |73| [WizardCoder-Python-7B-V1.0-Q4_0.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q4_0.gguf)     | Q4_0   | 4 | 3.83 GB| legacy; small, very high quality loss - prefer using Q3_K_M |74| [WizardCoder-Python-7B-V1.0-Q4_K_M.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q4_K_M.gguf) | Q4_K_M | 4 | 4.08 GB| medium, balanced quality - recommended |75| [WizardCoder-Python-7B-V1.0-Q4_K_S.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q4_K_S.gguf) | Q4_K_S | 4 | 3.86 GB| small, greater quality loss |76| [WizardCoder-Python-7B-V1.0-Q5_0.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q5_0.gguf)     | Q5_0   | 5 | 4.65 GB| legacy; medium, balanced quality - prefer using Q4_K_M |77| [WizardCoder-Python-7B-V1.0-Q5_K_M.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q5_K_M.gguf) | Q5_K_M | 5 | 4.78 GB| large, very low quality loss - recommended |78| [WizardCoder-Python-7B-V1.0-Q5_K_S.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q5_K_S.gguf) | Q5_K_S | 5 | 4.65 GB| large, low quality loss - recommended |79| [WizardCoder-Python-7B-V1.0-Q6_K.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q6_K.gguf)     | Q6_K   | 6 | 5.53 GB| very large, extremely low quality loss |80| [WizardCoder-Python-7B-V1.0-Q8_0.gguf](https://huggingface.co/second-state/WizardCoder-Python-7B-v1.0-GGUF/blob/main/WizardCoder-Python-7B-V1.0-Q8_0.gguf)     | Q8_0   | 8 | 7.16 GB| very large, extremely low quality loss - not recommended |81