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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:Qwen1.5-7B-Chat-Q5_K_M.gguf llama-api-server.wasm -p chatml
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-7B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml

Quantized GGUF Models

Name Quant method Bits Size Use case
Qwen1.5-7B-Chat-Q2_K.gguf Q2_K 2 3.10 GB smallest, significant quality loss - not recommended for most purposes
Qwen1.5-7B-Chat-Q3_K_L.gguf Q3_K_L 3 4.22 GB small, substantial quality loss
Qwen1.5-7B-Chat-Q3_K_M.gguf Q3_K_M 3 3.92 GB very small, high quality loss
Qwen1.5-7B-Chat-Q3_K_S.gguf Q3_K_S 3 3.57 GB very small, high quality loss
Qwen1.5-7B-Chat-Q4_0.gguf Q4_0 4 4.51 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen1.5-7B-Chat-Q4_K_M.gguf Q4_K_M 4 4.77 GB medium, balanced quality - recommended
Qwen1.5-7B-Chat-Q4_K_S.gguf Q4_K_S 4 4.54 GB small, greater quality loss
Qwen1.5-7B-Chat-Q5_0.gguf Q5_0 5 5.40 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen1.5-7B-Chat-Q5_K_M.gguf Q5_K_M 5 5.53 GB large, very low quality loss - recommended
Qwen1.5-7B-Chat-Q5_K_S.gguf Q5_K_S 5 5.4 GB large, low quality loss - recommended
Qwen1.5-7B-Chat-Q6_K.gguf Q6_K 6 6.34 GB very large, extremely low quality loss
Qwen1.5-7B-Chat-Q8_0.gguf Q8_0 8 8.21 GB very large, extremely low quality loss - not recommended
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Model size
7.72B params

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