MiniCPM-V-4-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.25.1 and above
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-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template minicpmv \ --ctx-size 128000 \ --llava-mmproj MiniCPM-V-4-mmproj-f16.gguf \ --model-name minicpmv-26
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
MiniCPM-V-4-Q2_K.gguf | Q2_K | 2 | 1.40 GB | smallest, significant quality loss - not recommended for most purposes |
MiniCPM-V-4-Q3_K_L.gguf | Q3_K_L | 3 | 1.93 GB | small, substantial quality loss |
MiniCPM-V-4-Q3_K_M.gguf | Q3_K_M | 3 | 1.79 GB | very small, high quality loss |
MiniCPM-V-4-Q3_K_S.gguf | Q3_K_S | 3 | 1.63 GB | very small, high quality loss |
MiniCPM-V-4-Q4_0.gguf | Q4_0 | 4 | 2.08 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
MiniCPM-V-4-Q4_K_M.gguf | Q4_K_M | 4 | 2.19 GB | medium, balanced quality - recommended |
MiniCPM-V-4-Q4_K_S.gguf | Q4_K_S | 4 | 2.09 GB | small, greater quality loss |
MiniCPM-V-4-Q5_0.gguf | Q5_0 | 5 | 2.51 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
MiniCPM-V-4-Q5_K_M.gguf | Q5_K_M | 5 | 2.56 GB | large, very low quality loss - recommended |
MiniCPM-V-4-Q5_K_S.gguf | Q5_K_S | 5 | 2.51 GB | large, low quality loss - recommended |
MiniCPM-V-4-Q6_K.gguf | Q6_K | 6 | 2.96 GB | very large, extremely low quality loss |
MiniCPM-V-4-Q8_0.gguf | Q8_0 | 8 | 3.83 GB | very large, extremely low quality loss - not recommended |
MiniCPM-V-4-f16.gguf | f16 | 16 | 959 MB | |
MiniCPM-V-4-mmproj-f16.gguf | f16 | 16 | 15.2 GB |
Quantized with llama.cpp b6138.
- Downloads last month
- 1,719
Hardware compatibility
Log In
to view the estimation
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit
16-bit
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
Model tree for second-state/MiniCPM-V-4-GGUF
Base model
openbmb/MiniCPM-V-4