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auramind-270m
zail-ai/auramind-270m
auramind-270m is a text generation model from zail-ai. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Full-featured smartphone deployment with balanced performance and capabilities
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268M
2.7 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gemma3_text
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- 014a6c5e
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Base models
Model card
From the Hugging Face model README
Auramind-270M - 270M Parameters
Full-featured smartphone deployment with balanced performance and capabilities
Specifications
- Parameters: 270M
- Base Model: google/gemma-2-270m
- Memory Usage: ~680MB RAM
- Quantization: INT4 optimized
- Inference Speed: 100-300ms on modern smartphones
Mobile Deployment
This variant is specifically optimized for:
- Target Devices: Premium smartphones
- Memory Requirements: ~680MB RAM
- Performance: 100-300ms on modern smartphones
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load this specific variant
tokenizer = AutoTokenizer.from_pretrained("zail-ai/auramind-270m")
model = AutoModelForCausalLM.from_pretrained(
"zail-ai/auramind-270m",
torch_dtype=torch.float16,
device_map="auto",
low_cpu_mem_usage=True
)
Refer to the main AuraMind repository for complete documentation.
- Task
- Text Generation
- Library
- transformers
- Type
- gemma3_text
- License
- mit
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025