functiongemma-pocketassist-270m – AI Model by 2796gauravc | AlphaNeural AI

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2796gauravc/
functiongemma-pocketassist-270m

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function-calling

2796gauravc/pocketassist-training-data

google/functiongemma-270m-it

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FunctionGemma PocketAssist 270M

Fine-tuned FunctionGemma 270M for PocketAssist.

Accuracy: 35.0% on 440 examples

Function	Accuracy
get_password	0.0%
save_password	80.0%
search	30.0%

Training

Base: unsloth/functiongemma-270m-it
Method: QLoRA 4-bit (Unsloth) + sequence packing
LoRA rank: 16, alpha: 32
LR: 0.0002, epochs: 5
seq_len: 256, batch: 4×4
Hardware: Colab T4 (16 GB VRAM)

Usage

python

from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
    "2796gauravc/functiongemma-pocketassist-270m",
    load_in_4bit=True,
)