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Qwen2.5-72B-Instruct-GGUF

Text Generation
GGUF
English
qwen2
chat
Inference Endpoints
conversational
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: Qwen/Qwen2.5-72B-Instruct
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+ license: other
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+ license_name: qwen
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+ license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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+ model_creator: Qwen
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+ model_name: Qwen2.5-72B-Instruct
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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/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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+ # Qwen2.5-72B-Instruct-GGUF
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+
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+ ## Original Model
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+
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+ [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3)
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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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+ - Context size: `131072`
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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:Qwen2.5-72B-Instruct-Q5_K_M.gguf \
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+ llama-api-server.wasm \
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+ --model-name Qwen2.5-72B-Instruct \
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+ --prompt-template chatml \
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+ --ctx-size 131072
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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:Qwen2.5-72B-Instruct-Q5_K_M.gguf \
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+ llama-chat.wasm \
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+ --prompt-template chatml \
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+ --ctx-size 131072
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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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+ | [Qwen2.5-72B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q2_K.gguf) | Q2_K | 2 | 29.8 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Qwen2.5-72B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 39.5 GB| small, substantial quality loss |
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+ | [Qwen2.5-72B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 37.7 GB| very small, high quality loss |
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+ | [Qwen2.5-72B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 34.5 GB| very small, high quality loss |
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+ | [Qwen2.5-72B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 41.2 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Qwen2.5-72B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 47.4 GB| medium, balanced quality - recommended |
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+ | [Qwen2.5-72B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 43.9 GB| small, greater quality loss |
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+ | [Qwen2.5-72B-Instruct-Q5_0-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q5_0-00001-of-00002.gguf) | Q5_0 | 5 | 32.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Qwen2.5-72B-Instruct-Q5_0-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q5_0-00002-of-00002.gguf) | Q5_0 | 5 | 18 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Qwen2.5-72B-Instruct-Q5_K_M-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q5_K_M-00001-of-00002.gguf) | Q5_K_M | 5 | 32.2 GB| large, very low quality loss - recommended |
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+ | [Qwen2.5-72B-Instruct-Q5_K_M-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q5_K_M-00002-of-00002.gguf) | Q5_K_M | 5 | 22.3 GB| large, very low quality loss - recommended |
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+ | [Qwen2.5-72B-Instruct-Q5_K_S-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q5_K_S-00001-of-00002.gguf) | Q5_K_S | 5 | 32.1 GB| large, low quality loss - recommended |
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+ | [Qwen2.5-72B-Instruct-Q5_K_S-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q5_K_S-00002-of-00002.gguf) | Q5_K_S | 5 | 32.1 GB| large, low quality loss - recommended |
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+ | [Qwen2.5-72B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q6_K-00001-of-00002.gguf) | Q6_K | 6 | 32.2 GB| very large, extremely low quality loss |
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+ | [Qwen2.5-72B-Instruct-Q6_K-00002-of-00002.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q6_K-00002-of-00002.gguf) | Q6_K | 6 | 32.2 GB| very large, extremely low quality loss |
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+ | [Qwen2.5-72B-Instruct-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q8_0-00001-of-00003.gguf) | Q8_0 | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
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+ | [Qwen2.5-72B-Instruct-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q8_0-00002-of-00003.gguf) | Q8_0 | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
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+ | [Qwen2.5-72B-Instruct-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-Q8_0-00003-of-00003.gguf) | Q8_0 | 8 | 32.1 GB| very large, extremely low quality loss - not recommended |
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+ | [Qwen2.5-72B-Instruct-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-f16-00001-of-00005.gguf) | f16 | 16 | 31.9 GB| |
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+ | [Qwen2.5-72B-Instruct-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-f16-00002-of-00005.gguf) | f16 | 16 | 32.1 GB| |
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+ | [Qwen2.5-72B-Instruct-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-f16-00003-of-00005.gguf) | f16 | 16 | 32.1 GB| |
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+ | [Qwen2.5-72B-Instruct-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-f16-00004-of-00005.gguf) | f16 | 16 | 32.1 GB| |
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+ | [Qwen2.5-72B-Instruct-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Qwen2.5-72B-Instruct-GGUF/blob/main/Qwen2.5-72B-Instruct-f16-00005-of-00005.gguf) | f16 | 16 | 17.3 GB| |
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+
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+ *Quantized with llama.cpp b3751*