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Text Extraction NER FoodExtract Gemma 3 270M Fine Tuned V1 by ferozk0333

By ferozk0333 · 593 downloads
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Text Extraction NER FoodExtract Gemma 3 270M Fine Tuned V1 is an open-source language model by ferozk0333. Features: 270m LLM, VRAM: 0.5GB, Context: 32K, LLM Explorer Score: 0.33.

Base model:finetune:google/gem... Base model:google/gemma-3-270m...   Endpoints compatible   Feature-extraction   Gemma3 text   Generated from trainer   Region:us   Safetensors   Sft   Text-embeddings-inference   Trl
Model Card on HF 🤗: https://huggingface.co/ferozk0333/Text-Extraction-NER-FoodExtract-Gemma-3-270M-Fine-Tuned-v1 

Text Extraction NER FoodExtract Gemma 3 270M Fine Tuned V1 Parameters and Internals

LLM NameText Extraction NER FoodExtract Gemma 3 270M Fine Tuned V1
Repository 🤗https://huggingface.co/ferozk0333/Text-Extraction-NER-FoodExtract-Gemma-3-270M-Fine-Tuned-v1 
Model Namecheckpoint_models
Base Model(s)  Gemma 3 270M It   google/gemma-3-270m-it
Model Size270m
Required VRAM0.5 GB
Updated2026-10-28
Maintainerferozk0333
Model Typegemma3_text
Model Files  0.5 GB   0.0 GB
Model ArchitectureGemma3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version5.20.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262144

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