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EnlistedGhost/Devstral-Small-2507-Vision
Devstral-Small-2507-Vision is a image-text-to-text model from EnlistedGhost. 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.
Description: <br / This model was re-configured using MistralAI's "Mistral3ForConditionalGeneration" processor, configuration with Vision Multimodal re-enabled resulting in a version of Devstral-Small-2507 with workin…
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From the Hugging Face model README
Description: <br /> This model was re-configured using MistralAI's "Mistral3ForConditionalGeneration" processor, configuration with Vision Multimodal re-enabled resulting in a version of Devstral-Small-2507 with working Vision functioanlity. The Chat-template and System-prompt files are also reworked and are custom compared to the originals supplied by MistralAI. No modifications, edits, or additional configuration is required to use this model with Huggingface SafeTensors, Pipeline, or vLLM (It simply requires the standard Mistral-Small-3.X/Devstral setup and configuration)! Both Vision and Text work. (^.^)
IMPORTANT NOTICE as of (GMT-8) 02:24 December 14th 2025: <br /> Be aware that the chat-template AND the system-prompt files are different from what MistralAI supplied. You can still use the standard template and prompt, but the supplied files provide improved performance and usability. This model is 100% ready to use with what is currently provided in this customized release. <br /><br /> Happy LLM Inferrencing,<br /> -- Jon Z (EnlistedGhost)
Recently finished updates:
Currently in-progress updates:
You can run this model by using Huggingface pipeline or safetensors systems. Detailed instructions will be made available within the next few days.
Same as original:
Same as original:
Same as original:
Training sets and data are from:
[MistalAI Devstral-Small-2507 Original Paper]
A big thank-you is extended to the below credited sources!<br /> This release is only possible thanks to the below mentioned community-member(s)/organization(s)