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Qwen1.5-110B-Chat-GGUF

Original Model

Qwen/Qwen1.5-110B-Chat

Run with LlamaEdge

• LlamaEdge version: v0.10.0 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: 32000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-110B-Chat-Q2_K.gguf \
    llama-api-server.wasm \
    --prompt-template chatml \
    --ctx-size 32000 \
    --model-name qwen1.5-110b-chat
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-110B-Chat-Q2_K.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 32000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Qwen1.5-110B-Chat-Q2_K.gguf	Q2_K	2	41.2 GB	smallest, significant quality loss - not recommended for most purposes
Qwen1.5-110B-Chat-Q3_K_L-00001-of-00002.gguf	Q3_K_L	3	32.2 GB	small, substantial quality loss
Qwen1.5-110B-Chat-Q3_K_L-00002-of-00002.gguf	Q3_K_L	3	26 GB	small, substantial quality loss
Qwen1.5-110B-Chat-Q3_K_M-00001-of-00002.gguf	Q3_K_M	3	32.2 GB	very small, high quality loss
Qwen1.5-110B-Chat-Q3_K_M-00002-of-00002.gguf	Q3_K_M	3	21.5 GB	very small, high quality loss
Qwen1.5-110B-Chat-Q3_K_S-00001-of-00002.gguf	Q3_K_S	3	32.2 GB	very small, high quality loss
Qwen1.5-110B-Chat-Q3_K_S-00002-of-00002.gguf	Q3_K_S	3	16.3 GB	very small, high quality loss
Qwen1.5-110B-Chat-Q4_0-00001-of-00002.gguf	Q4_0	4	32.1 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Qwen1.5-110B-Chat-Q4_0-00002-of-00002.gguf	Q4_0	4	30.8 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Qwen1.5-110B-Chat-Q4_K_M-00001-of-00003.gguf	Q4_K_M	4	32 GB	medium, balanced quality - recommended
Qwen1.5-110B-Chat-Q4_K_M-00002-of-00003.gguf	Q4_K_M	4	32.1 GB	medium, balanced quality - recommended
Qwen1.5-110B-Chat-Q4_K_M-00003-of-00003.gguf	Q4_K_M	4	3.09 GB	medium, balanced quality - recommended
Qwen1.5-110B-Chat-Q4_K_S-00001-of-00002.gguf	Q4_K_S	4	32.1 GB	small, greater quality loss
Qwen1.5-110B-Chat-Q4_K_S-00002-of-00002.gguf	Q4_K_S	4	31.3 GB	small, greater quality loss
Qwen1.5-110B-Chat-Q5_0-00001-of-00003.gguf	Q5_0	5	32 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen1.5-110B-Chat-Q5_0-00002-of-00003.gguf	Q5_0	5	32.1 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen1.5-110B-Chat-Q5_0-00003-of-00003.gguf	Q5_0	5	12.5 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen1.5-110B-Chat-Q5_K_M-00001-of-00003.gguf	Q5_K_M	5	32.1 GB	large, very low quality loss - recommended
Qwen1.5-110B-Chat-Q5_K_M-00002-of-00003.gguf	Q5_K_M	5	32 GB	large, very low quality loss - recommended
Qwen1.5-110B-Chat-Q5_K_M-00003-of-00003.gguf	Q5_K_M	5	14.8 GB	large, very low quality loss - recommended
Qwen1.5-110B-Chat-Q5_K_S-00001-of-00003.gguf	Q5_K_S	5	32 GB	large, low quality loss - recommended
Qwen1.5-110B-Chat-Q5_K_S-00002-of-00003.gguf	Q5_K_S	5	32.1 GB	large, low quality loss - recommended
Qwen1.5-110B-Chat-Q5_K_S-00003-of-00003.gguf	Q5_K_S	5	12.5 GB	large, low quality loss - recommended
Qwen1.5-110B-Chat-Q6_K-00001-of-00003.gguf	Q6_K	6	31.9 GB	very large, extremely low quality loss
Qwen1.5-110B-Chat-Q6_K-00002-of-00003.gguf	Q6_K	6	32 GB	very large, extremely low quality loss
Qwen1.5-110B-Chat-Q6_K-00003-of-00003.gguf	Q6_K	6	27.3 GB	very large, extremely low quality loss
Qwen1.5-110B-Chat-Q8_0-00001-of-00004.gguf	Q8_0	8	32.1 GB	very large, extremely low quality loss - not recommended
Qwen1.5-110B-Chat-Q8_0-00002-of-00004.gguf	Q8_0	8	31.9 GB	very large, extremely low quality loss - not recommended
Qwen1.5-110B-Chat-Q8_0-00003-of-00004.gguf	Q8_0	8	32.2 GB	very large, extremely low quality loss - not recommended
Qwen1.5-110B-Chat-Q8_0-00004-of-00004.gguf	Q8_0	8	22 GB	very large, extremely low quality loss - not recommended
Qwen1.5-110B-Chat-f16-00001-of-00007.gguf	f16	16	31.9 GB
Qwen1.5-110B-Chat-f16-00002-of-00007.gguf	f16	16	32 GB
Qwen1.5-110B-Chat-f16-00003-of-00007.gguf	f16	16	31.8 GB
Qwen1.5-110B-Chat-f16-00004-of-00007.gguf	f16	16	31.8 GB
Qwen1.5-110B-Chat-f16-00005-of-00007.gguf	f16	16	31.8 GB
Qwen1.5-110B-Chat-f16-00006-of-00007.gguf	f16	16	31.5 GB
Qwen1.5-110B-Chat-f16-00007-of-00007.gguf	f16	16	31.6 GB

Quantized with llama.cpp b2824.