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Model: second-state/SmolLM2-1.7B-Instruct-GGUF Source: Original Platform
2026-11-01 06:19:16 +08:00
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--- a/README.md
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+---
+base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
+license: apache-2.0
+library_name: transformers
+model_creator: HuggingFaceTB
+model_name: SmolLM2-1.7B-Instruct
+quantized_by: Second State Inc.
+language:
+- en
+---
+
+<!-- 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 -->
+
+# SmolLM2-1.7B-Instruct-GGUF
+
+## Original Model
+
+[HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.14.15](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.15) and above
+
+- Prompt template
+
+  - Prompt type: `chatml`
+
+  - Prompt string
+
+    ```text
+    <|im_start|>system
+    {system_message}<|im_end|>
+    <|im_start|>user
+    {prompt}<|im_end|>
+    <|im_start|>assistant
+    ```
+
+- Context size: `2048`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM2-1.7B-Instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --model-name SmolLM2-1.7B-Instruct \
+    --prompt-template chatml \
+    --ctx-size 2048
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM2-1.7B-Instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template chatml \
+    --ctx-size 2048
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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 |
+| [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| |
+
+*Quantized with llama.cpp b4120*
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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
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+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
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+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "transformers.js_config": {
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+      "q4f16": "float16",
+      "fp16": "float16"
+    }
+  },
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+  "vocab_size": 49152
+}