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
Upload full_val_eval.log with huggingface_hub
Browse files- full_val_eval.log +578 -0
full_val_eval.log
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[Eval] batch 3961 | samples 31688/123656 | mean_loss 2.3588 | 1652s elapsed | 78,558 tok/s
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[Eval] batch 4001 | samples 32008/123656 | mean_loss 2.3606 | 1669s elapsed | 78,554 tok/s
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| 207 |
[Eval] batch 3961 | samples 31688/123656 | mean_loss 2.3588 | 1652s elapsed | 78,558 tok/s
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| 762 |
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[Eval] batch 15061 | samples 120488/123656 | mean_loss 2.3114 | 6281s elapsed | 78,579 tok/s
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| 763 |
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[Eval] batch 15081 | samples 120648/123656 | mean_loss 2.3108 | 6289s elapsed | 78,579 tok/s
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| 764 |
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[Eval] batch 15101 | samples 120808/123656 | mean_loss 2.3106 | 6297s elapsed | 78,580 tok/s
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| 765 |
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[Eval] batch 15121 | samples 120968/123656 | mean_loss 2.3109 | 6306s elapsed | 78,579 tok/s
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| 766 |
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[Eval] batch 15141 | samples 121128/123656 | mean_loss 2.3101 | 6314s elapsed | 78,580 tok/s
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| 767 |
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[Eval] batch 15161 | samples 121288/123656 | mean_loss 2.3099 | 6322s elapsed | 78,580 tok/s
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| 768 |
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[Eval] batch 15181 | samples 121448/123656 | mean_loss 2.3107 | 6331s elapsed | 78,580 tok/s
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| 769 |
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[Eval] batch 15201 | samples 121608/123656 | mean_loss 2.3110 | 6339s elapsed | 78,580 tok/s
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| 770 |
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[Eval] batch 15221 | samples 121768/123656 | mean_loss 2.3125 | 6347s elapsed | 78,579 tok/s
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| 771 |
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[Eval] batch 15241 | samples 121928/123656 | mean_loss 2.3128 | 6356s elapsed | 78,580 tok/s
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| 772 |
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[Eval] batch 15261 | samples 122088/123656 | mean_loss 2.3132 | 6364s elapsed | 78,580 tok/s
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| 773 |
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[Eval] batch 15281 | samples 122248/123656 | mean_loss 2.3137 | 6372s elapsed | 78,580 tok/s
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| 774 |
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[Eval] batch 15301 | samples 122408/123656 | mean_loss 2.3129 | 6381s elapsed | 78,580 tok/s
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| 775 |
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[Eval] batch 15321 | samples 122568/123656 | mean_loss 2.3152 | 6389s elapsed | 78,581 tok/s
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| 776 |
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[Eval] batch 15341 | samples 122728/123656 | mean_loss 2.3147 | 6397s elapsed | 78,580 tok/s
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| 777 |
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[Eval] batch 15361 | samples 122888/123656 | mean_loss 2.3145 | 6406s elapsed | 78,581 tok/s
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| 778 |
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[Eval] batch 15381 | samples 123048/123656 | mean_loss 2.3156 | 6414s elapsed | 78,581 tok/s
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| 779 |
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[Eval] batch 15401 | samples 123208/123656 | mean_loss 2.3159 | 6422s elapsed | 78,581 tok/s
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| 780 |
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[Eval] batch 15421 | samples 123368/123656 | mean_loss 2.3156 | 6431s elapsed | 78,581 tok/s
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| 781 |
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[Eval] batch 15441 | samples 123528/123656 | mean_loss 2.3159 | 6439s elapsed | 78,581 tok/s
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| 782 |
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[Eval] batch 15457 | samples 123656/123656 | mean_loss 2.3163 | 6445s elapsed | 78,581 tok/s
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| 783 |
+
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| 784 |
+
[Eval] DONE in 6446s
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| 785 |
+
[Eval] samples=123656 tokens=506494976
|
| 786 |
+
[Eval] mean_eval_loss = 2.316302
|
| 787 |
+
[Eval] perplexity = 10.138
|