| | --- |
| | license: llama2 |
| | library_name: transformers |
| | tags: |
| | - code |
| | metrics: |
| | - code_eval |
| | base_model: WizardLM/WizardCoder-Python-7b-V1.0 |
| | inference: false |
| | model_creator: WizardLM |
| | model_type: llama |
| | pipeline_tag: text-generation |
| | quantized_by: Second State Inc. |
| | --- |
| | |
| | <!-- header start --> |
| | <!-- 200823 --> |
| | <div style="width: auto; margin-left: auto; margin-right: auto"> |
| | <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
| | </div> |
| | <hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> |
| | <!-- header end --> |
| |
|
| | # WizardCoder-Python-7B-v1.0-GGUF |
| |
|
| | ## Original Model |
| |
|
| | [WizardLM/WizardCoder-Python-7b-V1.0](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0) |
| |
|
| | ## Run with LlamaEdge |
| |
|
| | - LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above |
| |
|
| | - Prompt template |
| |
|
| | - Prompt type: `wizard-coder` |
| |
|
| | - Prompt string |
| |
|
| | ```text |
| | Below is an instruction that describes a task. Write a response that appropriately completes the request. |
| | |
| | \### Instruction: |
| | {instruction} |
| | |
| | \### Response: |
| | ``` |
| | |
| | **Note that the \ character is used to escape the ### in the prompt string. Remove it in the practical use.** |
| | |
| | - Context size: `4096` |
| |
|
| | - Run as LlamaEdge service |
| |
|
| | ```bash |
| | wasmedge --dir .:. --nn-preload default:GGML:AUTO:WizardCoder-Python-7B-V1.0-Q5_K_M.gguf llama-api-server.wasm -p wizard-coder |
| | ``` |
| |
|
| | - Run as LlamaEdge command app |
| |
|
| | ```bash |
| | 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.' |
| | ``` |
| |
|
| | ## Quantized GGUF Models |
| |
|
| | | Name | Quant method | Bits | Size | Use case | |
| | | ---- | ---- | ---- | ---- | ----- | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | | [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 | |
| | |
