Genuine-1B-GGUF
18
1.0B
1 language
Q4
llama.cpp
by
theprint
Language Model
OTHER
1B params
New
18 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
3GB+ RAM
Mobile
Laptop
Server
Quick Summary
Quantized GGUF versions of Genuine-1B for use with llama.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM
Code Examples
Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Usagebashllama.cpp
# Download recommended quantization
wget https://huggingface.co/theprint/Genuine-1B-GGUF/resolve/main/Genuine-1B-q4_k_m.gguf
# Run inference
./llama.cpp/main -m Genuine-1B-q4_k_m.gguf \
-p "Your prompt here" \
-n 256 \
--temp 0.7 \
--top-p 0.9Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Licensebibtex
@misc{genuine_1b_gguf,
title={Genuine-1B GGUF Quantized Models},
author={theprint},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/theprint/Genuine-1B-GGUF}
}Deploy This Model
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