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EraX-VL-7B-V1.0-GGUF
rootonchair/EraX-VL-7B-V1.0-GGUF
EraX-VL-7B-V1.0-GGUF is a image-text-to-text model from rootonchair. 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.
GGUF and static quants of https://huggingface.co/erax-ai/EraX-VL-7B-V1.0
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Repo size
64.1 GB
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.gguf64.1 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Access
- Public
- Created
- May 18, 2025
- Updated
- May 19, 2025
- SHA
- 99314074
Try a prompt
Base models
Model card
From the Hugging Face model README
GGUF and static quants of https://huggingface.co/erax-ai/EraX-VL-7B-V1.0
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | mmproj-fp16 | 1.5 | vision supplement |
| GGUF | Q2_K | 3.1 | |
| GGUF | Q3_K_S | 3.6 | |
| GGUF | Q3_K_M | 3.9 | lower quality |
| GGUF | Q3_K_L | 4.2 | |
| GGUF | IQ4_XS | 4.4 | |
| GGUF | Q4_K_S | 4.6 | fast, recommended |
| GGUF | Q4_K_M | 4.8 | fast, recommended |
| GGUF | Q5_K_S | 5.4 | |
| GGUF | Q5_K_M | 5.5 | |
| GGUF | Q6_K | 6.4 | very good quality |
| GGUF | Q8_0 | 8.2 | fast, best quality |
| GGUF | f16 | 15.3 | 16 bpw, overkill |
- Task
- Image-Text-to-Text
- Library
- transformers
- Created
- May 18, 2025
- Updated
- May 19, 2025