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- ---
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- license: apache-2.0
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- model_name: SmolLM-135M-Instruct
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- base_model: HuggingFaceTB/SmolLM-135M-Instruct
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- model_creator: HuggingFaceTB
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- quantized_by: Second State Inc.
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- library_name: transformers
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- language:
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- - en
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- ---
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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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-
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- # SmolLM-360M-Instruct
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-
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- ## Original Model
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-
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- [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct)
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-
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- ## Run with LlamaEdge
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-
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- - LlamaEdge version: coming soon
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-
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- <!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
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-
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- - Prompt template
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-
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- - Prompt type: `llama-3-chat`
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-
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- - Prompt string
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-
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- ```text
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- <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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-
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- {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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-
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- {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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-
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- {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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-
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- {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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- ``` -->
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-
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- - Context size: `2048`
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-
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- <!-- - Run as LlamaEdge service
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \
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- llama-api-server.wasm \
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- --prompt-template llama-3-chat \
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- --ctx-size 2048 \
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- --model-name SmolLM-360M-Instruct
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- ```
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-
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- - Run as LlamaEdge command app
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \
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- llama-chat.wasm \
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- --prompt-template llama-3-chat \
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- --ctx-size 2048 \
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- ``` -->
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-
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- ## Quantized GGUF Models
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-
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- | Name | Quant method | Bits | Size | Use case |
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- | ---- | ---- | ---- | ---- | ----- |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [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 |
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- | [SmolLM-360M-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-f16.gguf) | f16 | 16 | 726 MB| |
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-
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  *Quantized with llama.cpp b3445.*
 
1
+ ---
2
+ license: apache-2.0
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+ model_name: SmolLM-360M-Instruct
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+ base_model: HuggingFaceTB/SmolLM-360M-Instruct
5
+ model_creator: HuggingFaceTB
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+ quantized_by: Second State Inc.
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+ library_name: transformers
8
+ language:
9
+ - en
10
+ ---
11
+
12
+ <!-- header start -->
13
+ <!-- 200823 -->
14
+ <div style="width: auto; margin-left: auto; margin-right: auto">
15
+ <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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+
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+ # SmolLM-360M-Instruct
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+
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+ ## Original Model
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+
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+ [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: coming soon
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+
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+ <!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
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+
32
+ - Prompt template
33
+
34
+ - Prompt type: `llama-3-chat`
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+
36
+ - Prompt string
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+
38
+ ```text
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+ <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+ ``` -->
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+
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+ - Context size: `2048`
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+
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+ <!-- - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \
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+ llama-api-server.wasm \
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+ --prompt-template llama-3-chat \
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+ --ctx-size 2048 \
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+ --model-name SmolLM-360M-Instruct
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+ ```
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \
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+ llama-chat.wasm \
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+ --prompt-template llama-3-chat \
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+ --ctx-size 2048 \
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+ ``` -->
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [SmolLM-360M-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM-360M-Instruct/blob/main/SmolLM-360M-Instruct-f16.gguf) | f16 | 16 | 726 MB| |
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+
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  *Quantized with llama.cpp b3445.*