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Qwen2-VL-2B-Instruct-GGUF
second-state/Qwen2-VL-2B-Instruct-GGUF
Qwen2-VL-2B-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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All-time downloads
18.7K
Public
Repo size
18 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.gguf18 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2_vl
- Access
- Public
- Created
- Dec 15, 2024
- Updated
- Jan 11, 2025
- SHA
- 0a81dadf
Try a prompt
Base models
Model card
From the Hugging Face model README
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Qwen2-VL-2B-Instruct-GGUF
Original Model
Run with LlamaEdge
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LlamaEdge version: v0.16.0
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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-VL-2B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --model-name Qwen2-VL-2B-Instruct \ --prompt-template qwen2-vision \ --llava-mmproj Qwen2-VL-2B-Instruct-vision-encoder.gguf \ --ctx-size 32000
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Qwen2-VL-2B-Instruct-Q2_K.gguf | Q2_K | 2 | 676 MB | smallest, significant quality loss - not recommended for most purposes |
| Qwen2-VL-2B-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 880 MB | small, substantial quality loss |
| Qwen2-VL-2B-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 824 MB | very small, high quality loss |
| Qwen2-VL-2B-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 761 MB | very small, high quality loss |
| Qwen2-VL-2B-Instruct-Q4_0.gguf | Q4_0 | 4 | 935 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Qwen2-VL-2B-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 986 MB | medium, balanced quality - recommended |
| Qwen2-VL-2B-Instruct-Q4_K_S.gguf | Q4_K_S | 4 | 940 MB | small, greater quality loss |
| Qwen2-VL-2B-Instruct-Q5_0.gguf | Q5_0 | 5 | 1.10 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Qwen2-VL-2B-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 1.13 GB | large, very low quality loss - recommended |
| Qwen2-VL-2B-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 1.10 GB | large, low quality loss - recommended |
| Qwen2-VL-2B-Instruct-Q6_K.gguf | Q6_K | 6 | 1.27 GB | very large, extremely low quality loss |
| Qwen2-VL-2B-Instruct-Q8_0.gguf | Q8_0 | 8 | 1.65 GB | very large, extremely low quality loss - not recommended |
| Qwen2-VL-2B-Instruct-f16.gguf | f16 | 16 | 3.09 GB | |
| Qwen2-VL-2B-Instruct-vision-encoder.gguf | f16 | 16 | 2.66 GB |
Quantized with llama.cpp b4329
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2_vl
- License
- apache-2.0
- Languages
- en
- Created
- Dec 15, 2024
- Updated
- Jan 11, 2025