prithivMLmods's picture
Update README.md
714793f verified
|
Raw History Blame Contribute Delete
2.12 kB
metadata
license: apache-2.0
base_model:
  - rsoohyun/SpatialBlock-3B-reason
language:
  - en
pipeline_tag: image-text-to-text
library_name: transformers
tags:
  - text-generation-inference
  - llama-cpp

SpatialBlock-3B-reason-GGUF

SpatialBlock-3B-reason is an open-source multimodal model released on Hugging Face by rsoohyun under the Apache-2.0 license, developed to enhance spatial intelligence in Large Vision-Language Models (LVLMs). Based on the Qwen/Qwen2.5-VL-3B-Instruct base architecture and supported by the Hugging Face transformers library via the image-text-to-text pipeline, this checkpoint is fine-tuned on the synthetic SpatialBlock-15k dataset as presented in the paper SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem. It specializes in reasoning through and directly predicting solutions to intricate spatial challenges—including 3D-to-2D projection, viewpoint transformation, and structural combination—with complete training methodology, evaluation metrics, and companion models accessible via its GitHub repository.

Model Files

File Name Quant Type File Size File Link
SpatialBlock-3B-reason.BF16.gguf BF16 6.8 GB Download
SpatialBlock-3B-reason.Q4_K_M.gguf Q4_K_M 2.1 GB Download
SpatialBlock-3B-reason.Q5_K_M.gguf Q5_K_M 2.44 GB Download
SpatialBlock-3B-reason.mmproj-bf16.gguf mmproj-bf16 1.34 GB Download

llama.cpp

LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp