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MiniCPM-V-2_6-GGUF
second-state/MiniCPM-V-2_6-GGUF
MiniCPM-V-2_6-GGUF is a visual question answering model from second-state. Use it for the visual question answering task on the model card, and read the license before you ship it in a product.
<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div <hr…
All-time downloads
27.7K
Public
Repo size
133 GB
Likes
5
Public
Repo makeup
Click a slice to open those files.
.gguf74.7 GB · 100%
At a glance
- Task
- Visual Question Answering
- Model type
- minicpmv
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Nov 29, 2024
- SHA
- fc113e2e
Base models
Spaces
Model card
From the Hugging Face model README
<!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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MiniCPM-V-2_6-GGUF
Original Model
Run with LlamaEdge
-
LlamaEdge version: v0.14.17 and above
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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.
- Task
- Visual Question Answering
- Type
- minicpmv
- Languages
- en, zh
- Created
- Aug 22, 2024
- Updated
- Nov 29, 2024