--- base_model: Qwen/Qwen2.5-14B-Instruct license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE model_creator: Qwen model_name: Qwen2.5-14B-Instruct quantized_by: Second State Inc. language: - en pipeline_tag: text-generation tags: - chat ---

# Qwen2.5-14B-Instruct-GGUF ## Original Model [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) ## Run with LlamaEdge - LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3) - 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: `128000` - Run as LlamaEdge service ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-14B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --model-name Qwen2.5-14B-Instruct \ --prompt-template chatml \ --ctx-size 128000 ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen2.5-14B-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --ctx-size 128000 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Qwen2.5-14B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q2_K.gguf) | Q2_K | 2 | 5.77 GB| smallest, significant quality loss - not recommended for most purposes | | [Qwen2.5-14B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 7.92 GB| small, substantial quality loss | | [Qwen2.5-14B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 7.34 GB| very small, high quality loss | | [Qwen2.5-14B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 6.66 GB| very small, high quality loss | | [Qwen2.5-14B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 8.52 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Qwen2.5-14B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 8.99 GB| medium, balanced quality - recommended | | [Qwen2.5-14B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 8.57 GB| small, greater quality loss | | [Qwen2.5-14B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 10.3 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Qwen2.5-14B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 10.5 GB| large, very low quality loss - recommended | | [Qwen2.5-14B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 10.3 GB| large, low quality loss - recommended | | [Qwen2.5-14B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q6_K.gguf) | Q6_K | 6 | 12.1 GB| very large, extremely low quality loss | | [Qwen2.5-14B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 15.1 GB| very large, extremely low quality loss - not recommended | | [Qwen2.5-14B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-14B-Instruct-GGUF/blob/main/Qwen2.5-14B-Instruct-f16.gguf) | f16 | 16 | 29.5 GB| | *Quantized with llama.cpp b3751*