BREAKING
Gemma 4 12B Fine-Tuned on 8GB VRAM
Chess Demo Pipeline
1
ChessInstruct dataset
↓
2
LoRA via Unsloth
↓
3
Predict next move
↓
4
Runs on consumer GPU
VRAM Guidelines by Setup
12B BF16 infer
24
12B 4-bit infer
10
E2B LoRA tune
10
31B dense tune
22
0
x
faster training
0
%
lower VRAM
0
K
context tokens
Strengths and Limits
Upsides
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Runs on free Colab or home PC
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Multimodal text and images
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Quantized local speed
Caveats
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26B and 31B need high VRAM
●
Speed can lag interactive use
Low-VRAM Local AI Accelerates
AI NEWS BLITZ
A community demo fine-tunes Google's Gemma 4 12B locally on just 8GB of VRAM.