README.md

---
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
---

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# Qwen1.5-110B-Chat-GGUF

## Original Model

[Qwen/Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)

## Run with LlamaEdge

- LlamaEdge version: coming soon

- Prompt template

  - Prompt type: `chatml`

  - Prompt string

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

- Context size: `8192`

- Run as LlamaEdge service

  ```bash
  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

  ```bash
  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](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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
<!-- | [Qwen1.5-7B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/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](https://huggingface.co/second-state/Qwen1.5-7B-Chat-GGUF/blob/main/Qwen1.5-7B-Chat-Q8_0.gguf)     | Q8_0   | 8 | 8.21 GB| very large, extremely low quality loss - not recommended | -->

*Quantized with llama.cpp b2824.*