Breeze-7B-Instruct-v1_0-GGUF

Original Model

MediaTek-Research/Breeze-7B-Instruct-v1_0

Run with LlamaEdge

  • LlamaEdge version: v0.14.2 and above

  • Prompt template

    • Prompt type: mediatek-breeze

    • Prompt string

      <s>{system_message}  [INST] {user_message_1} [/INST] {assistant_message_1} [INST] {user_message_2} [/INST]
      
  • Context size: 8000

  • Run as LlamaEdge service

    • Chat

      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

    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 Q2_K 2 2.86 GB smallest, significant quality loss - not recommended for most purposes
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 Q3_K_M 3 3.67 GB very small, high quality loss
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 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 Q4_K_M 4 4.54 GB medium, balanced quality - recommended
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 Q5_0 5 5.18 GB legacy; medium, balanced quality - prefer using Q4_K_M
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 Q5_K_S 5 5.18 GB large, low quality loss - recommended
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 Q8_0 8 7.96 GB very large, extremely low quality loss - not recommended
Breeze-7B-Instruct-v1_0-f16.gguf f16 16 15.0 GB

Quantized with llama.cpp b3613

Downloads last month
79
GGUF
Model size
7.49B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for second-state/Breeze-7B-Instruct-v1_0-GGUF

Quantized
(22)
this model