---
license: apache-2.0
model_name: SmolLM-135M-Instruct
base_model: HuggingFaceTB/SmolLM-135M-Instruct
model_creator: HuggingFaceTB
quantized_by: Second State Inc.
library_name: transformers
language:
- en
---

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# SmolLM-135M-Instruct

## Original Model

[HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct)

## Run with LlamaEdge

- LlamaEdge version: [v0.12.5](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.5) 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:SmolLM-135M-Instruct-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template chatml \
    --ctx-size 2048 \
    --model-name SmolLM-135M-Instruct
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-135M-Instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 2048
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [SmolLM-135M-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 88.2 MB | smallest, significant quality loss - not recommended for most purposes |
| [SmolLM-135M-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 97.5 MB | small, substantial quality loss |
| [SmolLM-135M-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 93.5 MB | very small, high quality loss |
| [SmolLM-135M-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 88.2 MB | very small, high quality loss |
| [SmolLM-135M-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 91.7 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [SmolLM-135M-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 105 MB | medium, balanced quality - recommended |
| [SmolLM-135M-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 102 MB | small, greater quality loss |
| [SmolLM-135M-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 105 MB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [SmolLM-135M-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 112 MB | large, very low quality loss - recommended |
| [SmolLM-135M-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 110 MB | large, low quality loss - recommended |
| [SmolLM-135M-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 138 MB | very large, extremely low quality loss |
| [SmolLM-135M-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 145 MB | very large, extremely low quality loss - not recommended |
| [SmolLM-135M-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct-GGUF/blob/main/SmolLM-135M-Instruct-f16.gguf)       | f16    | 16 | 271 MB|  |

*Quantized with llama.cpp b3445.*