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
File size: 663 Bytes
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"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"dtype": "bfloat16",
"hidden_act": "silu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 2730,
"max_position_embeddings": 4096,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 16,
"num_hidden_layers": 20,
"num_key_value_heads": 4,
"pad_token_id": 0,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"rope_theta": 500000,
"rope_type": "default"
},
"rope_theta": 500000,
"tie_word_embeddings": true,
"transformers_version": "5.14.1",
"use_cache": false,
"vocab_size": 65536
}
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