tensorblock / Qwen2-VL-7B-GGUF

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Total runs: 342
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 15 2024
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Introduction of Qwen2-VL-7B-GGUF

Model Details of Qwen2-VL-7B-GGUF

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Qwen/Qwen2-VL-7B - GGUF

This repo contains GGUF format model files for Qwen/Qwen2-VL-7B .

The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4329 .

Prompt template
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Model file specification
Filename Quant type File Size Description
Qwen2-VL-7B-Q2_K.gguf Q2_K 3.016 GB smallest, significant quality loss - not recommended for most purposes
Qwen2-VL-7B-Q3_K_S.gguf Q3_K_S 3.492 GB very small, high quality loss
Qwen2-VL-7B-Q3_K_M.gguf Q3_K_M 3.808 GB very small, high quality loss
Qwen2-VL-7B-Q3_K_L.gguf Q3_K_L 4.088 GB small, substantial quality loss
Qwen2-VL-7B-Q4_0.gguf Q4_0 4.431 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2-VL-7B-Q4_K_S.gguf Q4_K_S 4.458 GB small, greater quality loss
Qwen2-VL-7B-Q4_K_M.gguf Q4_K_M 4.683 GB medium, balanced quality - recommended
Qwen2-VL-7B-Q5_0.gguf Q5_0 5.315 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2-VL-7B-Q5_K_S.gguf Q5_K_S 5.315 GB large, low quality loss - recommended
Qwen2-VL-7B-Q5_K_M.gguf Q5_K_M 5.445 GB large, very low quality loss - recommended
Qwen2-VL-7B-Q6_K.gguf Q6_K 6.254 GB very large, extremely low quality loss
Qwen2-VL-7B-Q8_0.gguf Q8_0 8.099 GB very large, extremely low quality loss - not recommended
Downloading instruction
Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Qwen2-VL-7B-GGUF --include "Qwen2-VL-7B-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf ), you can try:

huggingface-cli download tensorblock/Qwen2-VL-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Runs of tensorblock Qwen2-VL-7B-GGUF on huggingface.co

342
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About Qwen2-VL-7B-GGUF huggingface.co Model

More Qwen2-VL-7B-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

Qwen2-VL-7B-GGUF huggingface.co

Qwen2-VL-7B-GGUF huggingface.co is an AI model on huggingface.co that provides Qwen2-VL-7B-GGUF's model effect (), which can be used instantly with this tensorblock Qwen2-VL-7B-GGUF model. huggingface.co supports a free trial of the Qwen2-VL-7B-GGUF model, and also provides paid use of the Qwen2-VL-7B-GGUF. Support call Qwen2-VL-7B-GGUF model through api, including Node.js, Python, http.

tensorblock Qwen2-VL-7B-GGUF online free

Qwen2-VL-7B-GGUF huggingface.co is an online trial and call api platform, which integrates Qwen2-VL-7B-GGUF's modeling effects, including api services, and provides a free online trial of Qwen2-VL-7B-GGUF, you can try Qwen2-VL-7B-GGUF online for free by clicking the link below.

tensorblock Qwen2-VL-7B-GGUF online free url in huggingface.co:

https://huggingface.co/tensorblock/Qwen2-VL-7B-GGUF

Qwen2-VL-7B-GGUF install

Qwen2-VL-7B-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Qwen2-VL-7B-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2-VL-7B-GGUF install, users can directly use Qwen2-VL-7B-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen2-VL-7B-GGUF install url in huggingface.co:

https://huggingface.co/tensorblock/Qwen2-VL-7B-GGUF

Url of Qwen2-VL-7B-GGUF

Qwen2-VL-7B-GGUF huggingface.co Url

Provider of Qwen2-VL-7B-GGUF huggingface.co

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