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langslice-gemma-4-E4B
greenpolo/langslice-gemma-4-E4B
langslice-gemma-4-E4B is a image-text-to-text model from greenpolo. 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 gemma.
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Repo makeup
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.gguf29.4 GB · 65%
Parameter types
How the weights are stored.
BF168B · 100%
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Model card
From the Hugging Face model README
LangSlice-Gemma-4-E4B v1.0
A Gemma 4 E4B-IT fine-tune that estimates the anterior-posterior (AP) coordinate of a histological brain section in the matching mouse coronal atlas. Trained on adult (Allen mouse 25 µm) and developmental (DeMBA P9–P35, ADMBA P4–P56) coronal sections.
| Model | Mean abs. error (mm) | Mean error (% of 13.2 mm AP axis) |
|---|---|---|
| Base unsloth/gemma-4-E4B-it | 2.375 | 18.02 % |
| LangSlice-Gemma-4-E4B v1.0 | 1.228 | 9.32 % |
| Gemini 3 Flash Preview | 0.429 | 3.25 % |
SliceBench small coronal, mouse subset (n = 112).
Serve via vLLM
vllm serve greenpolo/langslice-gemma-4-E4B \
--max-model-len 16384 \
--enable-auto-tool-choice \
--tool-call-parser gemma4 \
--reasoning-parser gemma4
GGUF (Q4_K_M, Q8_0, BF16) under gguf/ for use with
llama.cpp llama-mtmd-cli (pair with
the bundled mmproj-BF16.gguf for image input).
The model is intentionally scoped to single-slice mouse coronal AP estimation. Sagittal, horizontal, and rat performance are much weaker. Inference must use the bundled chat template.
Full agent loop, multi-slice estimation, and end-to-end registration: LangSlice harness.
License
Gemma 4 Terms of Use governs the weights.
Citation
A Zenodo DOI is forthcoming. Until it's minted, please cite this Hugging Face repository directly:
Baughman, N. and Walsh Lab. LangSlice-Gemma-4-E4B v1.0. Hugging Face, 2026. https://huggingface.co/greenpolo/langslice-gemma-4-E4B
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- gemma4
- License
- gemma
- Languages
- en
- Created
- May 17, 2026
- Updated
- May 18, 2026