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dkudos
/
cinimod-devops

Text Generation
Safetensors
GGUF
English
llama
cinimod
devops
llm
causal-lm
llama.cpp
Model card Files Files and versions
xet
Community

Instructions to use dkudos/cinimod-devops with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use dkudos/cinimod-devops with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf dkudos/cinimod-devops:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf dkudos/cinimod-devops:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf dkudos/cinimod-devops:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf dkudos/cinimod-devops:Q8_0
    Use pre-built binary
    # 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 dkudos/cinimod-devops:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf dkudos/cinimod-devops:Q8_0
    Build from source code
    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 dkudos/cinimod-devops:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf dkudos/cinimod-devops:Q8_0
    Use Docker
    docker model run hf.co/dkudos/cinimod-devops:Q8_0
  • LM Studio
  • Jan
  • vLLM

    How to use dkudos/cinimod-devops with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "dkudos/cinimod-devops"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "dkudos/cinimod-devops",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/dkudos/cinimod-devops:Q8_0
  • Ollama

    How to use dkudos/cinimod-devops with Ollama:

    ollama run hf.co/dkudos/cinimod-devops:Q8_0
  • Unsloth Desktop
  • Docker Model Runner

    How to use dkudos/cinimod-devops with Docker Model Runner:

    docker model run hf.co/dkudos/cinimod-devops:Q8_0
  • Lemonade

    How to use dkudos/cinimod-devops with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull dkudos/cinimod-devops:Q8_0
    Run and chat with the model
    lemonade run user.cinimod-devops-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
cinimod-devops
1.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
dkudos's picture
dkudos
Update README.md
cb6abf3 verified 13 days ago
  • .gitattributes
    1.64 kB
    Upload folder using huggingface_hub 14 days ago
  • README.md
    5.82 kB
    Update README.md 13 days ago
  • checkpoint-4000-Q8_0.gguf
    360 MB
    xet
    Upload folder using huggingface_hub 14 days ago
  • checkpoint-4000-f16.gguf
    577 MB
    xet
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  • config.json
    663 Bytes
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  • full_val_eval.log
    71.8 kB
    Upload full_val_eval.log with huggingface_hub 14 days ago
  • generation_config.json
    112 Bytes
    Cinimod DevOps 1.5B base model (781M params, seq_len 1024, rope_theta 500000) 21 days ago
  • model.safetensors
    575 MB
    xet
    Upload folder using huggingface_hub 14 days ago
  • tokenizer.json
    4.73 MB
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  • tokenizer_config.json
    127 Bytes
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  • train_log.log
    370 kB
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