Delentia Cognitive Framework β Delentia OS v0.3
Collection
Official unified ecosystem collection for Delentia OS v0.3, featuring the 1+4 specialized LoRA pillars and the JITNA v3 protocol. (old version) β’ 8 items β’ Updated
How to use Delentia/delentia-slm-jitna-scribe with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Delentia/delentia-slm-jitna-scribe", filename="gguf/delentia-jitna-scribe-Q4_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
How to use Delentia/delentia-slm-jitna-scribe with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M # Run inference directly in the terminal: llama cli -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M # Run inference directly in the terminal: llama cli -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Delentia/delentia-slm-jitna-scribe:Q4_K_M
docker model run hf.co/Delentia/delentia-slm-jitna-scribe:Q4_K_M
How to use Delentia/delentia-slm-jitna-scribe with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Delentia/delentia-slm-jitna-scribe"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Delentia/delentia-slm-jitna-scribe",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/Delentia/delentia-slm-jitna-scribe:Q4_K_M
How to use Delentia/delentia-slm-jitna-scribe with Ollama:
ollama run hf.co/Delentia/delentia-slm-jitna-scribe:Q4_K_M
How to use Delentia/delentia-slm-jitna-scribe with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Delentia/delentia-slm-jitna-scribe to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Delentia/delentia-slm-jitna-scribe to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Delentia/delentia-slm-jitna-scribe to start chatting
How to use Delentia/delentia-slm-jitna-scribe with Docker Model Runner:
docker model run hf.co/Delentia/delentia-slm-jitna-scribe:Q4_K_M
How to use Delentia/delentia-slm-jitna-scribe with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Delentia/delentia-slm-jitna-scribe:Q4_K_M
lemonade run user.delentia-slm-jitna-scribe-Q4_K_M
lemonade list
docker model run hf.co/Delentia/delentia-slm-jitna-scribe:Q4_K_MThe Scribe is a specialized context compression LoRA adapter in the Delentia OS 1+4 Pillar Architecture. It solves the problem of context window saturation.
unsloth/Meta-Llama-3.1-8B-bnb-4bit4-bit
Base model
meta-llama/Llama-3.1-8B
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Delentia/delentia-slm-jitna-scribe"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Delentia/delentia-slm-jitna-scribe", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'