StableLM-2-Zephyr-1.6B-GGUF

Original Model

stabilityai/stablelm-2-zephyr-1_6b

Run with LlamaEdge

  • LlamaEdge version: v0.2.9 and above

  • Prompt template

    • Prompt type: stablelm-zephyr

    • Prompt string

      <|user|>
      {prompt}<|endoftext|>
      <|assistant|>
      
    • Reverse prompt: <|endoftext|>

  • Context size: 2048

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:stablelm-2-zephyr-1_6b-Q5_K_M.gguf llama-api-server.wasm -p stablelm-zephyr -r '<|endoftext|>' -c 1024
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:stablelm-2-zephyr-1_6b-Q5_K_M.gguf llama-chat.wasm -p stablelm-zephyr -r '<|endoftext|>' --temp 0.5 -c 1024
    

Quantized GGUF Models

Name Quant method Bits Size Use case
stablelm-2-zephyr-1_6b-Q2_K.gguf Q2_K 2 694 MB smallest, significant quality loss - not recommended for most purposes
stablelm-2-zephyr-1_6b-Q3_K_L.gguf Q3_K_L 3 915 MB small, substantial quality loss
stablelm-2-zephyr-1_6b-Q3_K_M.gguf Q3_K_M 3 858 MB very small, high quality loss
stablelm-2-zephyr-1_6b-Q3_K_S.gguf Q3_K_S 3 792 MB very small, high quality loss
stablelm-2-zephyr-1_6b-Q4_0.gguf Q4_0 4 983 MB legacy; small, very high quality loss - prefer using Q3_K_M
stablelm-2-zephyr-1_6b-Q4_K_M.gguf Q4_K_M 4 1.03 GB medium, balanced quality - recommended
stablelm-2-zephyr-1_6b-Q4_K_S.gguf Q4_K_S 4 989 MB small, greater quality loss
stablelm-2-zephyr-1_6b-Q5_0.gguf Q5_0 5 1.16 GB legacy; medium, balanced quality - prefer using Q4_K_M
stablelm-2-zephyr-1_6b-Q5_K_M.gguf Q5_K_M 5 1.19 GB large, very low quality loss - recommended
stablelm-2-zephyr-1_6b-Q5_K_S.gguf Q5_K_S 5 1.16 GB large, low quality loss - recommended
stablelm-2-zephyr-1_6b-Q6_K.gguf Q6_K 6 1.35 GB very large, extremely low quality loss
stablelm-2-zephyr-1_6b-Q8_0.gguf Q8_0 8 1.75 GB very large, extremely low quality loss - not recommended
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GGUF
Model size
1.64B params
Architecture
stablelm

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Inference Examples
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