base_model, license, library_name, model_creator, model_name, quantized_by, language

base_model	license	library_name	model_creator	model_name	quantized_by	language
HuggingFaceTB/SmolLM2-1.7B-Instruct	apache-2.0	transformers	HuggingFaceTB	SmolLM2-1.7B-Instruct	Second State Inc.	en

---

SmolLM2-1.7B-Instruct-GGUF

Original Model

HuggingFaceTB/SmolLM2-1.7B-Instruct

Run with LlamaEdge

• LlamaEdge version: v0.14.15 and above

• Prompt template

  • Prompt type: chatml

  • Prompt string

    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    

• Context size: 2048

• Run as LlamaEdge service

  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

  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	Q2_K	2	675 MB	smallest, significant quality loss - not recommended for most purposes
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	Q3_K_M	3	860 MB	very small, high quality loss
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	Q4_0	4	991 MB	legacy; small, very high quality loss - prefer using Q3_K_M
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	Q4_K_S	4	999 MB	small, greater quality loss
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	Q5_K_M	5	1.23 GB	large, very low quality loss - recommended
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	Q6_K	6	1.41 GB	very large, extremely low quality loss
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	f16	16	3.42 GB

Quantized with llama.cpp b4120