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README.md
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---
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license: other
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license_name: tongyi-qianwen
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license_link: >-
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https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE
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model_name: Qwen1.5-110B-Chat
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arxiv: 2307.09288
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base_model: Qwen/Qwen1.5-110B-Chat
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inference: false
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model_creator: Qwen
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pipeline_tag: text-generation
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quantized_by: Second State Inc.
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language:
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- en
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tags:
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- chat
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Qwen1.5-110B-Chat-GGUF
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## Original Model
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[Qwen/Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
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## Run with LlamaEdge
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- LlamaEdge version: [v0.10.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.10.0) and above
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- Prompt template
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- Prompt type: `chatml`
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- Prompt string
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```text
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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- Context size: `
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- Run as LlamaEdge service
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-110B-Chat-Q2_K.gguf \
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llama-api-server.wasm \
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--prompt-template chatml \
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--ctx-size 8192 \
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--model-name qwen1.5-110b-chat
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```
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- Run as LlamaEdge command app
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-110B-Chat-Q2_K.gguf \
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llama-chat.wasm \
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--prompt-template chatml
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```
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## Quantized GGUF Models
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| Name | Quant method | Bits | Size | Use case |
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| ---- | ---- | ---- | ---- | ----- |
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| [Qwen1.5-110B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q2_K.gguf) | Q2_K | 2 | 41.2 GB| smallest, significant quality loss - not recommended for most purposes |
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| [Qwen1.5-110B-Chat-Q3_K_L-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_L-00001-of-00002.gguf) | Q3_K_L | 3 | 32.2 GB| small, substantial quality loss |
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| [Qwen1.5-110B-Chat-Q3_K_L-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_L-00002-of-00002.gguf) | Q3_K_L | 3 | 26 GB| small, substantial quality loss |
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| [Qwen1.5-110B-Chat-Q3_K_M-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_M-00001-of-00002.gguf) | Q3_K_M | 3 | 32.2 GB| very small, high quality loss |
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| [Qwen1.5-110B-Chat-Q3_K_M-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_M-00002-of-00002.gguf) | Q3_K_M | 3 | 21.5 GB| very small, high quality loss |
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| [Qwen1.5-110B-Chat-Q3_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_S-00001-of-00002.gguf) | Q3_K_S | 3 | 32.2 GB| very small, high quality loss |
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| [Qwen1.5-110B-Chat-Q3_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_S-00002-of-00002.gguf) | Q3_K_S | 3 | 16.3 GB| very small, high quality loss |
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| [Qwen1.5-110B-Chat-Q4_0-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
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| [Qwen1.5-110B-Chat-Q4_0-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
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| [Qwen1.5-110B-Chat-Q4_K_M-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_M-00001-of-00003.gguf) | Q4_K_M | 4 | 32 GB| medium, balanced quality - recommended |
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| [Qwen1.5-110B-Chat-Q4_K_M-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_M-00002-of-00003.gguf) | Q4_K_M | 4 | 32.1 GB| medium, balanced quality - recommended |
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| [Qwen1.5-110B-Chat-Q4_K_M-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_M-00003-of-00003.gguf) | Q4_K_M | 4 | 3.09 GB| medium, balanced quality - recommended |
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| [Qwen1.5-110B-Chat-Q4_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_S-00001-of-00002.gguf) | Q4_K_S | 4 | 32.1 GB| small, greater quality loss |
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| [Qwen1.5-110B-Chat-Q4_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_S-00002-of-00002.gguf) | Q4_K_S | 4 | 31.3 GB| small, greater quality loss |
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| [Qwen1.5-110B-Chat-Q5_0-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_0-00001-of-00003.gguf) | Q5_0 | 5 | 32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Qwen1.5-110B-Chat-Q5_0-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
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| [Qwen1.5-110B-Chat-Q5_0-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
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| [Qwen1.5-110B-Chat-Q5_K_M-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_M-00001-of-00003.gguf) | Q5_K_M | 5 | 32.1 GB| large, very low quality loss - recommended |
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| [Qwen1.5-110B-Chat-Q5_K_M-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_M-00002-of-00003.gguf) | Q5_K_M | 5 | 32 GB| large, very low quality loss - recommended |
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| [Qwen1.5-110B-Chat-Q5_K_M-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_M-00003-of-00003.gguf) | Q5_K_M | 5 | 14.8 GB| large, very low quality loss - recommended |
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| [Qwen1.5-110B-Chat-Q5_K_S-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_S-00001-of-00003.gguf) | Q5_K_S | 5 | 32 GB| large, low quality loss - recommended |
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| [Qwen1.5-110B-Chat-Q5_K_S-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_S-00002-of-00003.gguf) | Q5_K_S | 5 | 32.1 GB| large, low quality loss - recommended |
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| [Qwen1.5-110B-Chat-Q5_K_S-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_S-00003-of-00003.gguf) | Q5_K_S | 5 | 12.5 GB| large, low quality loss - recommended |
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| [Qwen1.5-110B-Chat-Q6_K-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q6_K-00001-of-00003.gguf) | Q6_K | 6 | 31.9 GB| very large, extremely low quality loss |
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| [Qwen1.5-110B-Chat-Q6_K-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q6_K-00002-of-00003.gguf) | Q6_K | 6 | 32 GB| very large, extremely low quality loss |
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| [Qwen1.5-110B-Chat-Q6_K-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q6_K-00003-of-00003.gguf) | Q6_K | 6 | 27.3 GB| very large, extremely low quality loss |
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| [Qwen1.5-110B-Chat-Q8_0-00001-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00001-of-00004.gguf) | Q8_0 | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
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| [Qwen1.5-110B-Chat-Q8_0-00002-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00002-of-00004.gguf) | Q8_0 | 8 | 31.9 GB| very large, extremely low quality loss - not recommended |
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| [Qwen1.5-110B-Chat-Q8_0-00003-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00003-of-00004.gguf) | Q8_0 | 8 | 32.2 GB| very large, extremely low quality loss - not recommended |
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| [Qwen1.5-110B-Chat-Q8_0-00004-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00004-of-00004.gguf) | Q8_0 | 8 | 22 GB| very large, extremely low quality loss - not recommended |
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| [Qwen1.5-110B-Chat-f16-00001-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00001-of-00007.gguf) | f16 | 16 | 31.9 GB| |
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| [Qwen1.5-110B-Chat-f16-00002-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00002-of-00007.gguf) | f16 | 16 | 32 GB| |
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| [Qwen1.5-110B-Chat-f16-00003-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00003-of-00007.gguf) | f16 | 16 | 31.8 GB| |
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| [Qwen1.5-110B-Chat-f16-00004-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00004-of-00007.gguf) | f16 | 16 | 31.8 GB| |
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| [Qwen1.5-110B-Chat-f16-00005-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00005-of-00007.gguf) | f16 | 16 | 31.8 GB| |
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| [Qwen1.5-110B-Chat-f16-00006-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00006-of-00007.gguf) | f16 | 16 | 31.5 GB| |
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| [Qwen1.5-110B-Chat-f16-00007-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00007-of-00007.gguf) | f16 | 16 | 31.6 GB| |
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*Quantized with llama.cpp b2824.*
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1 |
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---
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2 |
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license: other
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3 |
+
license_name: tongyi-qianwen
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4 |
+
license_link: >-
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5 |
+
https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE
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6 |
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model_name: Qwen1.5-110B-Chat
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arxiv: 2307.09288
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base_model: Qwen/Qwen1.5-110B-Chat
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+
inference: false
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10 |
+
model_creator: Qwen
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11 |
+
pipeline_tag: text-generation
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12 |
+
quantized_by: Second State Inc.
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13 |
+
language:
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14 |
+
- en
|
15 |
+
tags:
|
16 |
+
- chat
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17 |
+
---
|
18 |
+
|
19 |
+
<!-- header start -->
|
20 |
+
<!-- 200823 -->
|
21 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
22 |
+
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+
</div>
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24 |
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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26 |
+
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# Qwen1.5-110B-Chat-GGUF
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28 |
+
|
29 |
+
## Original Model
|
30 |
+
|
31 |
+
[Qwen/Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
|
32 |
+
|
33 |
+
## Run with LlamaEdge
|
34 |
+
|
35 |
+
- LlamaEdge version: [v0.10.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.10.0) and above
|
36 |
+
|
37 |
+
- Prompt template
|
38 |
+
|
39 |
+
- Prompt type: `chatml`
|
40 |
+
|
41 |
+
- Prompt string
|
42 |
+
|
43 |
+
```text
|
44 |
+
<|im_start|>system
|
45 |
+
{system_message}<|im_end|>
|
46 |
+
<|im_start|>user
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47 |
+
{prompt}<|im_end|>
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48 |
+
<|im_start|>assistant
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49 |
+
```
|
50 |
+
|
51 |
+
- Context size: `32000`
|
52 |
+
|
53 |
+
- Run as LlamaEdge service
|
54 |
+
|
55 |
+
```bash
|
56 |
+
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-110B-Chat-Q2_K.gguf \
|
57 |
+
llama-api-server.wasm \
|
58 |
+
--prompt-template chatml \
|
59 |
+
--ctx-size 8192 \
|
60 |
+
--model-name qwen1.5-110b-chat
|
61 |
+
```
|
62 |
+
|
63 |
+
- Run as LlamaEdge command app
|
64 |
+
|
65 |
+
```bash
|
66 |
+
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-110B-Chat-Q2_K.gguf \
|
67 |
+
llama-chat.wasm \
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68 |
+
--prompt-template chatml
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69 |
+
```
|
70 |
+
|
71 |
+
## Quantized GGUF Models
|
72 |
+
|
73 |
+
| Name | Quant method | Bits | Size | Use case |
|
74 |
+
| ---- | ---- | ---- | ---- | ----- |
|
75 |
+
| [Qwen1.5-110B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q2_K.gguf) | Q2_K | 2 | 41.2 GB| smallest, significant quality loss - not recommended for most purposes |
|
76 |
+
| [Qwen1.5-110B-Chat-Q3_K_L-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_L-00001-of-00002.gguf) | Q3_K_L | 3 | 32.2 GB| small, substantial quality loss |
|
77 |
+
| [Qwen1.5-110B-Chat-Q3_K_L-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_L-00002-of-00002.gguf) | Q3_K_L | 3 | 26 GB| small, substantial quality loss |
|
78 |
+
| [Qwen1.5-110B-Chat-Q3_K_M-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_M-00001-of-00002.gguf) | Q3_K_M | 3 | 32.2 GB| very small, high quality loss |
|
79 |
+
| [Qwen1.5-110B-Chat-Q3_K_M-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_M-00002-of-00002.gguf) | Q3_K_M | 3 | 21.5 GB| very small, high quality loss |
|
80 |
+
| [Qwen1.5-110B-Chat-Q3_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_S-00001-of-00002.gguf) | Q3_K_S | 3 | 32.2 GB| very small, high quality loss |
|
81 |
+
| [Qwen1.5-110B-Chat-Q3_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q3_K_S-00002-of-00002.gguf) | Q3_K_S | 3 | 16.3 GB| very small, high quality loss |
|
82 |
+
| [Qwen1.5-110B-Chat-Q4_0-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
|
83 |
+
| [Qwen1.5-110B-Chat-Q4_0-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
|
84 |
+
| [Qwen1.5-110B-Chat-Q4_K_M-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_M-00001-of-00003.gguf) | Q4_K_M | 4 | 32 GB| medium, balanced quality - recommended |
|
85 |
+
| [Qwen1.5-110B-Chat-Q4_K_M-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_M-00002-of-00003.gguf) | Q4_K_M | 4 | 32.1 GB| medium, balanced quality - recommended |
|
86 |
+
| [Qwen1.5-110B-Chat-Q4_K_M-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_M-00003-of-00003.gguf) | Q4_K_M | 4 | 3.09 GB| medium, balanced quality - recommended |
|
87 |
+
| [Qwen1.5-110B-Chat-Q4_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_S-00001-of-00002.gguf) | Q4_K_S | 4 | 32.1 GB| small, greater quality loss |
|
88 |
+
| [Qwen1.5-110B-Chat-Q4_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q4_K_S-00002-of-00002.gguf) | Q4_K_S | 4 | 31.3 GB| small, greater quality loss |
|
89 |
+
| [Qwen1.5-110B-Chat-Q5_0-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_0-00001-of-00003.gguf) | Q5_0 | 5 | 32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
|
90 |
+
| [Qwen1.5-110B-Chat-Q5_0-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
|
91 |
+
| [Qwen1.5-110B-Chat-Q5_0-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/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 |
|
92 |
+
| [Qwen1.5-110B-Chat-Q5_K_M-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_M-00001-of-00003.gguf) | Q5_K_M | 5 | 32.1 GB| large, very low quality loss - recommended |
|
93 |
+
| [Qwen1.5-110B-Chat-Q5_K_M-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_M-00002-of-00003.gguf) | Q5_K_M | 5 | 32 GB| large, very low quality loss - recommended |
|
94 |
+
| [Qwen1.5-110B-Chat-Q5_K_M-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_M-00003-of-00003.gguf) | Q5_K_M | 5 | 14.8 GB| large, very low quality loss - recommended |
|
95 |
+
| [Qwen1.5-110B-Chat-Q5_K_S-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_S-00001-of-00003.gguf) | Q5_K_S | 5 | 32 GB| large, low quality loss - recommended |
|
96 |
+
| [Qwen1.5-110B-Chat-Q5_K_S-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_S-00002-of-00003.gguf) | Q5_K_S | 5 | 32.1 GB| large, low quality loss - recommended |
|
97 |
+
| [Qwen1.5-110B-Chat-Q5_K_S-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q5_K_S-00003-of-00003.gguf) | Q5_K_S | 5 | 12.5 GB| large, low quality loss - recommended |
|
98 |
+
| [Qwen1.5-110B-Chat-Q6_K-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q6_K-00001-of-00003.gguf) | Q6_K | 6 | 31.9 GB| very large, extremely low quality loss |
|
99 |
+
| [Qwen1.5-110B-Chat-Q6_K-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q6_K-00002-of-00003.gguf) | Q6_K | 6 | 32 GB| very large, extremely low quality loss |
|
100 |
+
| [Qwen1.5-110B-Chat-Q6_K-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q6_K-00003-of-00003.gguf) | Q6_K | 6 | 27.3 GB| very large, extremely low quality loss |
|
101 |
+
| [Qwen1.5-110B-Chat-Q8_0-00001-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00001-of-00004.gguf) | Q8_0 | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
|
102 |
+
| [Qwen1.5-110B-Chat-Q8_0-00002-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00002-of-00004.gguf) | Q8_0 | 8 | 31.9 GB| very large, extremely low quality loss - not recommended |
|
103 |
+
| [Qwen1.5-110B-Chat-Q8_0-00003-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00003-of-00004.gguf) | Q8_0 | 8 | 32.2 GB| very large, extremely low quality loss - not recommended |
|
104 |
+
| [Qwen1.5-110B-Chat-Q8_0-00004-of-00004.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-Q8_0-00004-of-00004.gguf) | Q8_0 | 8 | 22 GB| very large, extremely low quality loss - not recommended |
|
105 |
+
| [Qwen1.5-110B-Chat-f16-00001-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00001-of-00007.gguf) | f16 | 16 | 31.9 GB| |
|
106 |
+
| [Qwen1.5-110B-Chat-f16-00002-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00002-of-00007.gguf) | f16 | 16 | 32 GB| |
|
107 |
+
| [Qwen1.5-110B-Chat-f16-00003-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00003-of-00007.gguf) | f16 | 16 | 31.8 GB| |
|
108 |
+
| [Qwen1.5-110B-Chat-f16-00004-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00004-of-00007.gguf) | f16 | 16 | 31.8 GB| |
|
109 |
+
| [Qwen1.5-110B-Chat-f16-00005-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00005-of-00007.gguf) | f16 | 16 | 31.8 GB| |
|
110 |
+
| [Qwen1.5-110B-Chat-f16-00006-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00006-of-00007.gguf) | f16 | 16 | 31.5 GB| |
|
111 |
+
| [Qwen1.5-110B-Chat-f16-00007-of-00007.gguf](https://huggingface.co/second-state/Qwen1.5-110B-Chat-GGUF/blob/main/Qwen1.5-110B-Chat-f16-00007-of-00007.gguf) | f16 | 16 | 31.6 GB| |
|
112 |
+
|
113 |
+
*Quantized with llama.cpp b2824.*
|