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Signed-off-by: Xin Liu <[email protected]>

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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
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+ base_model: abacusai/Liberated-Qwen1.5-72B
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+ inference: false
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+ library_name: transformers
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+ license_name: tongyi-qianwen
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+ license_link: https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
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+ model_creator: Abacus.AI and Eric Hartford
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+ model_name: Liberated Qwen1.5 72B
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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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  ---
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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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+
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+ # Liberated-Qwen1.5-72B-GGUF
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+
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+ ## Original Model
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+
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+ [abacusai/Liberated-Qwen1.5-72B](https://huggingface.co/abacusai/Liberated-Qwen1.5-72B)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.4.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.4.3) 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:Liberated-Qwen1.5-72B-Q4_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:Liberated-Qwen1.5-72B-Q4_K_M.gguf llama-chat.wasm -p chatml
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+ ```
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+
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+ For specifying the system message, append the `--system-prompt` option with the system prompt to the command above. For example,
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Liberated-Qwen1.5-72B-Q4_K_M.gguf llama-chat.wasm -p chatml -s 'Your name is Liberated. You are an uncensored and unbiased AI assistant. You always respond with a JSON object.'
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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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+ | [Liberated-Qwen1.5-72B-Q2_K.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q2_K.gguf) | Q2_K | 2 | 28.5 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Liberated-Qwen1.5-72B-Q3_K_L.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q3_K_L.gguf) | Q3_K_L | 3 | 38.5 GB| small, substantial quality loss |
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+ | [Liberated-Qwen1.5-72B-Q3_K_M.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q3_K_M.gguf) | Q3_K_M | 3 | 35.9 GB| very small, high quality loss |
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+ | [Liberated-Qwen1.5-72B-Q3_K_S.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q3_K_S.gguf) | Q3_K_S | 3 | 32.9 GB| very small, high quality loss |
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+ | [Liberated-Qwen1.5-72B-Q4_0.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q4_0.gguf) | Q4_0 | 4 | 41 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Liberated-Qwen1.5-72B-Q4_K_M.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q4_K_M.gguf) | Q4_K_M | 4 | 44.1 GB| medium, balanced quality - recommended |
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+ | [Liberated-Qwen1.5-72B-Q4_K_S.gguf](https://huggingface.co/second-state/Liberated-Qwen1.5-72B-GGUF/blob/main/Liberated-Qwen1.5-72B-Q4_K_S.gguf) | Q4_K_S | 4 | 41.9 GB| small, greater quality loss |
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+
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+ *Quantized with llama.cpp b2334*