The shortest path to running this model is by activating Hyper-V features.
Just follow the guidelines provided below.
The script takes care of fetching the multi-gigabyte model weights.
Without any user input, the software calibrates parameters for optimal hardware usage.
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Key Features and Capabilities
- High-throughput inference capabilities on consumer-grade hardware
- Competitive performance across a range of devices, from laptops to edge servers
- Strong results in benchmark evaluations for reasoning, multilingual understanding, and code generation tasks
- Reduced model footprint compared to larger language models
Technical Specifications Comparison
| Attribute | Value |
|---|---|
| Parameter Count | 4 billion parameters |
| Precision | FP8 precision |
| Max Context Length | 8,000 tokens |
| Inference Speed | 200+ tokens/s on GPU |
Benchmark Results and Performance Metrics
- Strong performance in reasoning tasks, often matching larger models
- Excellent multilingual understanding capabilities
- Competitive code generation results across a range of evaluation metrics
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