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--- |
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base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct |
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license: apache-2.0 |
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license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE |
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model_creator: Qwen |
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model_name: Qwen2.5-Coder-1.5B-Instruct |
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quantized_by: Second State Inc. |
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language: |
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- en |
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pipeline_tag: text-generation |
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library_name: transformers |
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tags: |
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- code |
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- codeqwen |
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- chat |
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- qwen |
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- qwen-coder |
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--- |
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<!-- header start --> |
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<!-- 200823 --> |
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> |
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<!-- header end --> |
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# Qwen2.5-Coder-1.5B-Instruct-GGUF |
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## Original Model |
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[Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) |
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## Run with LlamaEdge |
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- LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3) |
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- Prompt template |
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- Prompt type: `chatml` |
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- Prompt string |
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```text |
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<|im_start|>system |
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{system_message}<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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- Context size: `128000` |
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- Run as LlamaEdge service |
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```bash |
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf \ |
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llama-api-server.wasm \ |
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--model-name Qwen2.5-Coder-1.5B-Instruct \ |
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--prompt-template chatml \ |
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--ctx-size 128000 |
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``` |
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- Run as LlamaEdge command app |
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```bash |
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf \ |
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llama-chat.wasm \ |
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--prompt-template chatml \ |
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--ctx-size 128000 |
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``` |
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## Quantized GGUF Models |
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| Name | Quant method | Bits | Size | Use case | |
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| ---- | ---- | ---- | ---- | ----- | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf) | Q2_K | 2 | 676 MB| smallest, significant quality loss - not recommended for most purposes | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 880 MB| small, substantial quality loss | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 824 MB| very small, high quality loss | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 761 MB| very small, high quality loss | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 935 MB| legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 986 MB| medium, balanced quality - recommended | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 940 MB| small, greater quality loss | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 1.10 GB| legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 1.13 GB| large, very low quality loss - recommended | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 1.10 GB| large, low quality loss - recommended | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf) | Q6_K | 6 | 1.27 GB| very large, extremely low quality loss | |
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| [Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 1.36 GB| very large, extremely low quality loss - not recommended | |
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| [Qwen2.5-Coder-1.5B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-f16.gguf) | f16 | 16 | 3.09 GB| | |
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*Quantized with llama.cpp b3751* |
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