--- license: apache-2.0 model_name: Breeze-7B-Instruct-v1_0 base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0 inference: false model_creator: MediaTek-Research pipeline_tag: text-generation quantized_by: Second State Inc. language: - zh - en ---

# Breeze-7B-Instruct-v1_0-GGUF ## Original Model [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) ## Run with LlamaEdge - LlamaEdge version: [v0.14.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.2) and above - Prompt template - Prompt type: `mediatek-breeze` - Prompt string ```text {system_message} [INST] {user_message_1} [/INST] {assistant_message_1} [INST] {user_message_2} [/INST] ``` - Context size: `8000` - Run as LlamaEdge service - Chat ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Breeze-7B-Instruct-v1_0-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template mediatek-breeze \ --ctx-size 8000 \ --model-name breeze-7b ``` - Run as LlamaEdge command app ```bash wasmedge --dir .:. --nn-preload default:GGML:AUTO:Breeze-7B-Instruct-v1_0-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template mediatek-breeze \ --ctx-size 8000 ``` ## Quantized GGUF Models | Name | Quant method | Bits | Size | Use case | | ---- | ---- | ---- | ---- | ----- | | [Breeze-7B-Instruct-v1_0-Q2_K.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q2_K.gguf) | Q2_K | 2 | 2.86 GB| smallest, significant quality loss - not recommended for most purposes | | [Breeze-7B-Instruct-v1_0-Q3_K_L.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q3_K_L.gguf) | Q3_K_L | 3 | 3.98 GB| small, substantial quality loss | | [Breeze-7B-Instruct-v1_0-Q3_K_M.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q3_K_M.gguf) | Q3_K_M | 3 | 3.67 GB| very small, high quality loss | | [Breeze-7B-Instruct-v1_0-Q3_K_S.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q3_K_S.gguf) | Q3_K_S | 3 | 3.32 GB| very small, high quality loss | | [Breeze-7B-Instruct-v1_0-Q4_0.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q4_0.gguf) | Q4_0 | 4 | 4.28 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | [Breeze-7B-Instruct-v1_0-Q4_K_M.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q4_K_M.gguf) | Q4_K_M | 4 | 4.54 GB| medium, balanced quality - recommended | | [Breeze-7B-Instruct-v1_0-Q4_K_S.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q4_K_S.gguf) | Q4_K_S | 4 | 4.31 GB| small, greater quality loss | | [Breeze-7B-Instruct-v1_0-Q5_0.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q5_0.gguf) | Q5_0 | 5 | 5.18 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | [Breeze-7B-Instruct-v1_0-Q5_K_M.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q5_K_M.gguf) | Q5_K_M | 5 | 5.32 GB| large, very low quality loss - recommended | | [Breeze-7B-Instruct-v1_0-Q5_K_S.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q5_K_S.gguf) | Q5_K_S | 5 | 5.18 GB| large, low quality loss - recommended | | [Breeze-7B-Instruct-v1_0-Q6_K.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q6_K.gguf) | Q6_K | 6 | 6.14 GB| very large, extremely low quality loss | | [Breeze-7B-Instruct-v1_0-Q8_0.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-Q8_0.gguf) | Q8_0 | 8 | 7.96 GB| very large, extremely low quality loss - not recommended | | [Breeze-7B-Instruct-v1_0-f16.gguf](https://huggingface.co/second-state/Breeze-7B-Instruct-v1_0-GGUF/blob/main/Breeze-7B-Instruct-v1_0-f16.gguf) | f16 | 16 | 15.0 GB| | *Quantized with llama.cpp b3613*