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OpenTrouter
/
Troviku-1.1

Text Generation
Transformers
Rust
code
English
CausalLM
code-generation
python
javascript
java
cpp
go
lua
typescript
programming
software-engineering
code-completion
code-translation
debugging
algorithm
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community
6

Instructions to use OpenTrouter/Troviku-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenTrouter/Troviku-1.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="OpenTrouter/Troviku-1.1")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("OpenTrouter/Troviku-1.1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use OpenTrouter/Troviku-1.1 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "OpenTrouter/Troviku-1.1"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "OpenTrouter/Troviku-1.1",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/OpenTrouter/Troviku-1.1
  • SGLang

    How to use OpenTrouter/Troviku-1.1 with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "OpenTrouter/Troviku-1.1" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "OpenTrouter/Troviku-1.1",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "OpenTrouter/Troviku-1.1" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "OpenTrouter/Troviku-1.1",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use OpenTrouter/Troviku-1.1 with Docker Model Runner:

    docker model run hf.co/OpenTrouter/Troviku-1.1
Troviku-1.1
123 kB
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  • 2 contributors
History: 10 commits
Luke-Bergen's picture
Luke-Bergen
Create troviku_core.py
b4cea25 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • MODEL_CARD.md
    6.44 kB
    Create MODEL_CARD.md 9 months ago
  • README.md
    15.6 kB
    Update README.md 9 months ago
  • benchmark_results.json
    7.95 kB
    Create benchmark_results.json 9 months ago
  • config.json
    4.43 kB
    Create config.json 9 months ago
  • evaluate_model.py
    19.3 kB
    Create evaluate_model.py 9 months ago
  • troviku_client.py
    12.9 kB
    Create troviku_client.py 9 months ago
  • troviku_core.py
    54.4 kB
    Create troviku_core.py 9 months ago