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Qwen2.5-VL-7B-Instruct-GGUF
second-state/Qwen2.5-VL-7B-Instruct-GGUF
Qwen2.5-VL-7B-Instruct-GGUF is a image-text-to-text model from second-state. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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Repo size
75 GB
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0
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Repo makeup
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.gguf75 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Apr 28, 2025
- Updated
- May 17, 2025
- SHA
- 3eb87e7a
Try a prompt
Base models
Model card
From the Hugging Face model README
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Qwen2.5-VL-7B-Instruct-GGUF
Original Model
Run with LlamaEdge
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LlamaEdge version: v0.18.4
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Prompt template
-
Prompt type:
qwen2-vision -
Prompt string
<|im_start|>system {system_prompt}<|im_end|> <|im_start|>user <|vision_start|>{image_placeholder}<|vision_end|>{user_prompt}<|im_end|> <|im_start|>assistant
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Context size:
32000 -
Run as LlamaEdge service
wasmedge --dir .:. \ --nn-preload default:GGML:AUTO:Qwen2.5-VL-7B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --model-name Qwen2.5-VL-7B-Instruct \ --prompt-template qwen2-vision \ --llava-mmproj Qwen2.5-VL-7B-Instruct-vision.gguf \ --ctx-size 32000
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Qwen2.5-VL-7B-Instruct-Q2_K.gguf | Q2_K | 2 | 3.02 GB | smallest, significant quality loss - not recommended for most purposes |
| Qwen2.5-VL-7B-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 4.09 GB | small, substantial quality loss |
| Qwen2.5-VL-7B-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 3.81 GB | very small, high quality loss |
| Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 3.49 GB | very small, high quality loss |
| Qwen2.5-VL-7B-Instruct-Q4_0.gguf | Q4_0 | 4 | 4.43 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Qwen2.5-VL-7B-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 4.68 GB | medium, balanced quality - recommended |
| Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf | Q4_K_S | 4 | 4.46 GB | small, greater quality loss |
| Qwen2.5-VL-7B-Instruct-Q5_0.gguf | Q5_0 | 5 | 5.32 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Qwen2.5-VL-7B-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 5.44 GB | large, very low quality loss - recommended |
| Qwen2.5-VL-7B-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 5.32 GB | large, low quality loss - recommended |
| Qwen2.5-VL-7B-Instruct-Q6_K.gguf | Q6_K | 6 | 6.25 GB | very large, extremely low quality loss |
| Qwen2.5-VL-7B-Instruct-Q8_0.gguf | Q8_0 | 8 | 8.10 GB | very large, extremely low quality loss - not recommended |
| Qwen2.5-VL-7B-Instruct-f16.gguf | f16 | 16 | 15.2 GB | |
| Qwen2.5-VL-7B-Instruct-vision.gguf | f16 | 16 | 1.35 GB |
Quantized with llama.cpp b5196
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2_5_vl
- License
- apache-2.0
- Languages
- en
- Created
- Apr 28, 2025
- Updated
- May 17, 2025