MiniCPM-V-2_6-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.14.17 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-2_6-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template minicpmv \ --ctx-size 128000 \ --llava-mmproj mmproj-model-f16.gguf \ --model-name minicpmv-26
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
MiniCPM-V-2_6-Q2_K.gguf | Q2_K | 2 | 3.01 GB | smallest, significant quality loss - not recommended for most purposes |
MiniCPM-V-2_6-Q3_K_L.gguf | Q3_K_L | 3 | 4.09 GB | small, substantial quality loss |
MiniCPM-V-2_6-Q3_K_M.gguf | Q3_K_M | 3 | 3.81 GB | very small, high quality loss |
MiniCPM-V-2_6-Q3_K_S.gguf | Q3_K_S | 3 | 3.49 GB | very small, high quality loss |
MiniCPM-V-2_6-Q4_0.gguf | Q4_0 | 4 | 4.43 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
MiniCPM-V-2_6-Q4_K_M.gguf | Q4_K_M | 4 | 4.68 GB | medium, balanced quality - recommended |
MiniCPM-V-2_6-Q4_K_S.gguf | Q4_K_S | 4 | 4.46 GB | small, greater quality loss |
MiniCPM-V-2_6-Q5_0.gguf | Q5_0 | 5 | 5.31 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
MiniCPM-V-2_6-Q5_K_M.gguf | Q5_K_M | 5 | 5.44 GB | large, very low quality loss - recommended |
MiniCPM-V-2_6-Q5_K_S.gguf | Q5_K_S | 5 | 5.31 GB | large, low quality loss - recommended |
MiniCPM-V-2_6-Q6_K.gguf | Q6_K | 6 | 6.25 GB | very large, extremely low quality loss |
MiniCPM-V-2_6-Q8_0.gguf | Q8_0 | 8 | 8.10 GB | very large, extremely low quality loss - not recommended |
MiniCPM-V-2_6-f16.gguf | f16 | 16 | 15.2 GB |
Quantized with llama.cpp b4120.
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Model tree for second-state/MiniCPM-V-2_6-GGUF
Base model
openbmb/MiniCPM-V-2_6