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Download README.md from SBDO1/SBDO2: direct link, hf CLI and curl.
- Browser
- Download file 599 Bytes
-
https://huggingface.co/SBDO1/SBDO2/resolve/main/README.md
- Command line
-
hf download hf://SBDO1/SBDO2/README.md
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curl -L -o README.md https://huggingface.co/SBDO1/SBDO2/resolve/main/README.md
599 Bytes
SAGE (Q8_0)
Sage - GPT-Neo 1.3B fine-tuned on educational data
- Base Model: EleutherAI/gpt-neo-1.3B
- Quantization: Q8_0
- Format: GGUF (llama.cpp / LM Studio compatible)
- Architecture: GPT-NeoX
Quick Start
llama.cpp
./main -m sage-q8_0.gguf -p "Your prompt here"
LM Studio
- Download
sage-q8_0.gguf - Open LM Studio
- Load model and start chatting
Python
from llama_cpp import Llama
llm = Llama(model_path="sage-q8_0.gguf")
output = llm("Hello", max_tokens=128)
print(output['choices'][0]['text'])