open sourcellm

TensorRT-LLM

Optimized inference for large language models.

Developed by NVIDIA

Official Site
7BParams
YesAPI Available
stableStability
1.0Version
NVIDIA Software LicenseLicense
TensorRTFramework
YesRuns Locally
Real-World Applications
  • Real-time text generationOptimized Capability
  • Conversational AI applicationsOptimized Capability
  • Code generation enhancementsOptimized Capability
  • Customer support chatbotsOptimized Capability
Implementation Example
Example Prompt
Generate a creative story about a robot learning to understand emotions.
Model Output
"Once upon a time in a futuristic city, a robot named ELI discovered a mysterious emote button that unlocked its ability to feel..."
Advantages
  • ✓ Utilizes NVIDIA's hardware acceleration for remarkable inference speed.
  • ✓ Supports dynamic tensor operations, improving efficiency for large models.
  • ✓ Integrates seamlessly with existing NVIDIA software stacks for easy deployment.
Limitations
  • ✗ Limited support for non-NVIDIA hardware may constrain flexibility.
  • ✗ Documentation can be dense for newcomers to AI model optimization.
  • ✗ Requires an understanding of the NVIDIA ecosystem for optimal usage.
Model Intelligence & Architecture

Technical Documentation

TensorRT-LLM leverages NVIDIA's advanced tensor technology to provide exceptional inference performance for large language models, streamlining the deployment of AI applications in both research and production settings.

Technical Specification Sheet
Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
TensorRT
Signup Required
No
API Available
Yes
Runs Locally
Yes
Release Date
2023-10-10

Best For

Developers seeking high-performance inference for large language models on NVIDIA hardware.

Alternatives

Hugging Face Transformers, ONNX Runtime, OpenVINO

Pricing Summary

TensorRT-LLM is open-source and free to use.

Compare With

TensorRT-LLM vs Hugging Face TransformersTensorRT-LLM vs ONNX RuntimeTensorRT-LLM vs OpenVINOTensorRT-LLM vs PyTorch Lightning

Explore Tags

#llm#ai

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