metadata

base_model: openbmb/MiniCPM-V-4_5
model_creator: openbmb
model_name: MiniCPM-V-4_5
quantized_by: Second State Inc.
pipeline_tag: visual-question-answering
language:
  - en
  - zh

MiniCPM-V-4_5-GGUF

Original Model

openbmb/MiniCPM-V-4_5

Run with LlamaEdge

LlamaEdge version: coming soon

Prompt template

Prompt type: minicpmv

Prompt string

<|system|>
{system_message}<|end|>
<|user|>
{user_message_1}<|end|>
<|assistant|>
{assistant_message_1}<|end|>
<|user|>
{user_message_2}<|end|>
<|assistant|>

The {user_message_n} has the format: {image_base64_encoding_string}\n{user_question}.

Context size: 128000

Run as LlamaEdge service

wasmedge --dir .:. \
  --nn-preload default:GGML:AUTO:MiniCPM-V-4_5-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template minicpmv \
  --ctx-size 128000 \
  --llava-mmproj MiniCPM-V-4_5-mmproj-f16.gguf \
  --model-name minicpmv-26

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
MiniCPM-V-4_5-Q2_K.gguf	Q2_K	2	3.28 GB	smallest, significant quality loss - not recommended for most purposes
MiniCPM-V-4_5-Q3_K_L.gguf	Q3_K_L	3	4.43 GB	small, substantial quality loss
MiniCPM-V-4_5-Q3_K_M.gguf	Q3_K_M	3	4.12 GB	very small, high quality loss
MiniCPM-V-4_5-Q3_K_S.gguf	Q3_K_S	3	3.77 GB	very small, high quality loss
MiniCPM-V-4_5-Q4_0.gguf	Q4_0	4	4.77 GB	legacy; small, very high quality loss - prefer using Q3_K_M
MiniCPM-V-4_5-Q4_K_M.gguf	Q4_K_M	4	5.03 GB	medium, balanced quality - recommended
MiniCPM-V-4_5-Q4_K_S.gguf	Q4_K_S	4	4.80 GB	small, greater quality loss
MiniCPM-V-4_5-Q5_0.gguf	Q5_0	5	5.72 GB	legacy; medium, balanced quality - prefer using Q4_K_M
MiniCPM-V-4_5-Q5_K_M.gguf	Q5_K_M	5	5.85 GB	large, very low quality loss - recommended
MiniCPM-V-4_5-Q5_K_S.gguf	Q5_K_S	5	5.72 GB	large, low quality loss - recommended
MiniCPM-V-4_5-Q6_K.gguf	Q6_K	6	6.72 GB	very large, extremely low quality loss
MiniCPM-V-4_5-Q8_0.gguf	Q8_0	8	8.71 GB	very large, extremely low quality loss - not recommended
MiniCPM-V-4_5-f16.gguf	f16	16	16.4 GB
MiniCPM-V-4_5-mmproj-f16.gguf	f16	16	1.10 GB

Quantized with llama.cpp b6301.