Hydra BitNet - M2M Protocol SLM

Model Description

• BitNet 1.58-bit quantization: Weights are ternary {-1, 0, +1}
• Mixture-of-Experts: 4 specialized experts with top-2 routing
• Task-specific heads: Compression routing and security detection

Model Details

Performance

Compression Routing

• Task: Predict optimal compression algorithm (NONE, BPE, BROTLI, ZLIB)
• Accuracy: 99.4%
• Latency: <5ms on GPU

Security Detection

• Task: Detect prompt injection and jailbreak attempts
• Accuracy: 96.2%
• Latency: <5ms on GPU

Usage

Training

• Compression Expert: Trained with DPO on 100K message pairs
• Security Expert: Fine-tuned on 60K security samples (prompt injection, jailbreak, safe)

Architecture

HydraBitNet(
  (embeddings): Embedding(256, 256)
  (encoder): ModuleList(
    (0-5): 6 x TaskSpecializedMoELayer(
      (gate): Linear(256, 4)
      (experts): ModuleList(
        (0): CompressionExpert
        (1): SecurityExpert  
        (2): SemanticExpert
        (3): GeneralExpert
      )
    )
  )
  (classifier): ModuleDict(
    (compression): BitLinear(256, 4)
    (security): BitLinear(256, 2)
  )
)

Citation

License