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Signed-off-by: Xin Liu <sam@secondstate.io>

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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
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+ base_model: Qwen/Qwen1.5-1.8B-Chat
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+ license: other
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+ license_name: tongyi-qianwen-research
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+ license_link: >-
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+ https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat/blob/main/LICENSE
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+ model_creator: Qwen
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+ model_name: Qwen1.5 1.8B Chat
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+ quantized_by: Second State Inc.
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - chat
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  ---
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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/second-state/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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+
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+ # Qwen1.5-1.8B-Chat-GGUF
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+
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+ ## Original Model
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+
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+ [Qwen/Qwen1.5-1.8B-Chat](https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.2.15](https://github.com/second-state/LlamaEdge/releases/tag/0.2.15) and above
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+
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+ - Prompt template
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+
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+ - Prompt type: `chatml`
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+
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+ - Prompt string
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+
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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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+
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+ - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-1.8B-Chat-Q5_K_M.gguf llama-api-server.wasm -p chatml
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+ ```
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen1.5-1.8B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml
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+ ```
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [Qwen1.5-1.8B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q2_K.gguf) | Q2_K | 2 | 863 MB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Qwen1.5-1.8B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 1.06 GB| small, substantial quality loss |
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+ | [Qwen1.5-1.8B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 1.02 GB| very small, high quality loss |
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+ | [Qwen1.5-1.8B-Chat-Q3_K_S.gguf](hhttps://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 970 MB| very small, high quality loss |
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+ | [Qwen1.5-1.8B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q4_0.gguf) | Q4_0 | 4 | 1.12 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Qwen1.5-1.8B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 1.22 GB| medium, balanced quality - recommended |
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+ | [Qwen1.5-1.8B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 1.16 GB| small, greater quality loss |
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+ | [Qwen1.5-1.8B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q5_0.gguf) | Q5_0 | 5 | 1.31 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Qwen1.5-1.8B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 1.38 GB| large, very low quality loss - recommended |
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+ | [Qwen1.5-1.8B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 1.33 GB| large, low quality loss - recommended |
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+ | [Qwen1.5-1.8B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q6_K.gguf) | Q6_K | 6 | 1.58 GB| very large, extremely low quality loss |
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+ | [Qwen1.5-1.8B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Qwen1.5-1.8B-Chat-GGUF/blob/main/Qwen1.5-1.8B-Chat-Q8_0.gguf) | Q8_0 | 8 | 1.96 GB| very large, extremely low quality loss - not recommended |