Text Generation
Transformers
Safetensors
PyTorch
English
qtensorformer
q-tensorformer
tensor-train
tensor-networks
adaptive-computation
kv-cache
kv-cache-quantization
attention-sinks
pid-control
edge-ai
edge-inference
on-device-ai
model-compression
grouped-query-attention
rotary-position-embeddings
custom_code
Premchandyadav369
Complete 16-phase scientific hardening, strict checkpoint audit, empirical benchmarks, and documentation
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| "ablation_verification": { | |
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| "scientific_classification": "MEASURED" | |
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| "steps_evaluated": 64, | |
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| "scientific_classification": "MEASURED" | |
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| "target_latency_ms": 1.5, | |
| "diagnostics": { | |
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| "violation_rate_pct": 34.0, | |
| "max_overshoot_pct": 18.52, | |
| "steady_state_error": 0.0282, | |
| "settling_step": 39 | |
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| "initial_lambda_latency": 1.0, | |
| "final_lambda_latency": 1.5942, | |
| "scientific_classification": "SIMULATED" | |
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| "counterfactual_policy_comparison": { | |
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