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---
license: apache-2.0
model_name: SmolLM-360M-Instruct
base_model: HuggingFaceTB/SmolLM-360M-Instruct
model_creator: HuggingFaceTB
quantized_by: Second State Inc.
library_name: transformers
language:
- en
---
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<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;">
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# SmolLM-360M-Instruct
## Original Model
[HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct)
## Run with LlamaEdge
- LlamaEdge version: coming soon
<!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
- Prompt template
- Prompt type: `llama-3-chat`
- Prompt string
```text
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
``` -->
- Context size: `2048`
<!-- - Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template llama-3-chat \
--ctx-size 2048 \
--model-name SmolLM-360M-Instruct
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template llama-3-chat \
--ctx-size 2048 \
``` -->
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [SmolLM-360M-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q2_K.gguf) | Q2_K | 2 | 219 MB | smallest, significant quality loss - not recommended for most purposes |
| [SmolLM-360M-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 246 MB | small, substantial quality loss |
| [SmolLM-360M-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 235 MB | very small, high quality loss |
| [SmolLM-360M-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 219 MB | very small, high quality loss |
| [SmolLM-360M-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q4_0.gguf) | Q4_0 | 4 | 229 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [SmolLM-360M-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 271 MB | medium, balanced quality - recommended |
| [SmolLM-360M-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 260 MB | small, greater quality loss |
| [SmolLM-360M-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q5_0.gguf) | Q5_0 | 5 | 268 MB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [SmolLM-360M-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 290 MB | large, very low quality loss - recommended |
| [SmolLM-360M-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 283 MB | large, low quality loss - recommended |
| [SmolLM-360M-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q6_K.gguf) | Q6_K | 6 | 367 MB | very large, extremely low quality loss |
| [SmolLM-360M-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-Q8_0.gguf) | Q8_0 | 8 | 386 MB | very large, extremely low quality loss - not recommended |
| [SmolLM-360M-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-f16.gguf) | f16 | 16 | 726 MB| |
*Quantized with llama.cpp b3445.* |