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Original Model


Run with LlamaEdge

  • LlamaEdge version: v0.2.15 and above

  • Prompt template

    • Prompt type: chatml

    • Prompt string

  • Context size: 32000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-0.5B-Chat-Q5_K_M.gguf llama-api-server.wasm -p chatml
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-0.5B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml

Quantized GGUF Models

Name Quant method Bits Size Use case
Qwen1.5-0.5B-Chat-Q2_K.gguf Q2_K 2 298 MB smallest, significant quality loss - not recommended for most purposes
Qwen1.5-0.5B-Chat-Q3_K_L.gguf Q3_K_L 3 364 MB small, substantial quality loss
Qwen1.5-0.5B-Chat-Q3_K_M.gguf Q3_K_M 3 350 MB very small, high quality loss
Qwen1.5-0.5B-Chat-Q3_K_S.gguf Q3_K_S 3 333 MB very small, high quality loss
Qwen1.5-0.5B-Chat-Q4_0.gguf Q4_0 4 395 MB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen1.5-0.5B-Chat-Q4_K_M.gguf Q4_K_M 4 407 MB medium, balanced quality - recommended
Qwen1.5-0.5B-Chat-Q4_K_S.gguf Q4_K_S 4 397 MB small, greater quality loss
Qwen1.5-0.5B-Chat-Q5_0.gguf Q5_0 5 453 MB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen1.5-0.5B-Chat-Q5_K_M.gguf Q5_K_M 5 459 MB large, very low quality loss - recommended
Qwen1.5-0.5B-Chat-Q5_K_S.gguf Q5_K_S 5 453 MB large, low quality loss - recommended
Qwen1.5-0.5B-Chat-Q6_K.gguf Q6_K 6 515 MB very large, extremely low quality loss
Qwen1.5-0.5B-Chat-Q8_0.gguf Q8_0 8 665 MB very large, extremely low quality loss - not recommended
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Model size
620M params

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