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Open-weight model

Neck_closed_noCoT_MedGemma-4B_lora

by Arup Saha Arup330/Neck_closed_noCoT_MedGemma-4B_lora

Neck_closed_noCoT_MedGemma-4B_lora is an open-weight model from Arup Saha, released under Apache License 2.0. Its published files total 158.5 MB.

This gemma3 model was trained 2x faster with Unsloth

Parameters—
Context—
Weights119.3 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Arup Saha, published under apache-2.0, revision b35b0c69072e.

This gemma3 model was trained 2x faster with Unsloth

Read Arup Saha's full model card

Uploaded model

  • Developed by: Arup330
  • License: apache-2.0
  • Finetuned from model : unsloth/medgemma-4b-it-unsloth-bnb-4bit

This gemma3 model was trained 2x faster with Unsloth

Identity and Version

Repository
Arup330/Neck_closed_noCoT_MedGemma-4B_lora
Publisher
Arup Saha
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
en
Revision
b35b0c69072e7f8a7a62301927061c0e704073c0
First published
2026-09-28
Last updated
2026-09-28

Files and Weights

9 files, 158.5 MB in total. The weights are 1 file totalling 119.3 MB in safetensors.

Weights1 file · 119.3 MB
Configuration2 files · 2.1 KB
Tokenizer3 files · 39.2 MB
Documentation1 file · 569 B
Other1 file · 1.5 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights119.3 MB 1556a54f30c3
adapter_config.jsonConfiguration1.6 KB —
processor_config.jsonConfiguration519 B —
README.mdDocumentation569 B —
chat_template.jinjaOther1.5 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer33.4 MB 93c5ccdc4c05
tokenizer.modelTokenizer4.7 MB 1299c11d7cf6
tokenizer_config.jsonTokenizer1.2 MB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
119.3 MB
Download from Arup Saha

Released by Arup Saha through its official repository on Hugging Face. Read the license.

Built From

  • Derived from unsloth/medgemma-4b-it-unsloth-bnb-4bit

Memory Requirements

PrecisionWeights in memory
As published119.3 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Neck_closed_noCoT_MedGemma-4B_lora

Can I use Neck_closed_noCoT_MedGemma-4B_lora commercially?

Yes. Neck_closed_noCoT_MedGemma-4B_lora is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.