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metadata
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE
model_name: Qwen1.5-110B-Chat
arxiv: 2307.09288
base_model: Qwen/Qwen1.5-110B-Chat
inference: false
model_creator: Qwen
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
  - en
tags:
  - chat

Qwen1.5-110B-Chat-GGUF

Original Model

Qwen/Qwen1.5-110B-Chat

Run with LlamaEdge

  • LlamaEdge version: coming soon

  • 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: 8192

  • 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 8192 \
      --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
    

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-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

Quantized with llama.cpp b2824.