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--- |
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base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct |
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license: apache-2.0 |
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library_name: transformers |
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model_creator: HuggingFaceTB |
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model_name: SmolLM2-1.7B-Instruct |
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quantized_by: Second State Inc. |
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language: |
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- en |
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--- |
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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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# SmolLM2-1.7B-Instruct-GGUF |
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## Original Model |
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[HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) |
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## Run with LlamaEdge |
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- LlamaEdge version: [v0.14.15](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.15) and above |
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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: `2048` |
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- Run as LlamaEdge service |
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```bash |
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM2-1.7B-Instruct-Q5_K_M.gguf \ |
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llama-api-server.wasm \ |
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--model-name SmolLM2-1.7B-Instruct \ |
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--prompt-template chatml \ |
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--ctx-size 2048 |
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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:SmolLM2-1.7B-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 2048 |
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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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| [SmolLM2-1.7B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q2_K.gguf) | Q2_K | 2 | 675 MB| smallest, significant quality loss - not recommended for most purposes | |
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| [SmolLM2-1.7B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 933 MB| small, substantial quality loss | |
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| [SmolLM2-1.7B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 860 MB| very small, high quality loss | |
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| [SmolLM2-1.7B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 777 MB| very small, high quality loss | |
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| [SmolLM2-1.7B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 991 MB| legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [SmolLM2-1.7B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 1.06 GB| medium, balanced quality - recommended | |
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| [SmolLM2-1.7B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 999 MB| small, greater quality loss | |
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| [SmolLM2-1.7B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 1.19 GB| legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [SmolLM2-1.7B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 1.23 GB| large, very low quality loss - recommended | |
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| [SmolLM2-1.7B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 1.19 GB| large, low quality loss - recommended | |
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| [SmolLM2-1.7B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q6_K.gguf) | Q6_K | 6 | 1.41 GB| very large, extremely low quality loss | |
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| [SmolLM2-1.7B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 1.82 GB| very large, extremely low quality loss - not recommended | |
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| [SmolLM2-1.7B-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-f16.gguf) | f16 | 16 | 3.42 GB| | |
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*Quantized with llama.cpp b4120* |
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