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gemma-3-270m-it-web-agent-gguf – AI Model by ArunKr | AlphaNeural AI

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ArunKr/
gemma-3-270m-it-web-agent-gguf

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text-generation

ArunKr/verified-data-manim

HuggingFaceTB/SmolLM-135M-Instruct

endpoints_compatible

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gemma-3-270m-it-web-agent - Fine-tuned

This repository contains three variants of the model:

LoRA adapters → ArunKr/gemma-3-270m-it-web-agent-lora
Merged FP16 weights → ArunKr/gemma-3-270m-it-web-agent-16bit
GGUF quantizations → ArunKr/gemma-3-270m-it-web-agent-gguf

Training

Base model: unsloth/gemma-3-270m-it
Dataset: ArunKr/gui_grounding_dataset-100
Method: LoRA fine-tuning with Unsloth

Quantizations

We provide f16, bf16, f32, and q8_0 GGUF files for llama.cpp / Ollama.

Usage Example

python

from transformers import AutoModelForCausalLM, AutoTokenizer

tok = AutoTokenizer.from_pretrained("ArunKr/gemma-3-270m-it-web-agent-16bit")
model = AutoModelForCausalLM.from_pretrained("ArunKr/gemma-3-270m-it-web-agent-16bit")
print(model.generate(**tok("Hello", return_tensors="pt")))

Ollama Example

ollama run ArunKr/SmolLM-135M-Instruct-manim-gguf:<file_name>.gguf