GenPark AI Agent Skill - Validates GGUF/GGML model binary headers, tensor alignment, KV-cache parameters and architecture keys.
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Updated
Sep 6, 2026 - Python
GenPark AI Agent Skill - Validates GGUF/GGML model binary headers, tensor alignment, KV-cache parameters and architecture keys.
GenPark AI Agent Skill - Simulates vLLM PagedAttention non-contiguous virtual memory block table allocation for dynamic KV-cache management.
GenPark AI Agent Skill - Validates GGUF/GGML model binary headers, tensor alignment, KV-cache parameters and architecture keys.
GenPark AI Agent Skill - Simulates k-quants block compression (Q4_K_M, Q8_0) packing FP16 weights into quantized blocks with scale factors.
GenPark AI Agent Skill - Rejection sampling and logit verification engine for speculative decoding acceleration.
GenPark AI Agent Skill - Calculates tensor parallelism column and row weight matrix partition splits across distributed GPU clusters.
GenPark AI Agent Skill - Rejection sampling and logit verification engine for speculative decoding acceleration.
GenPark AI Agent Skill - Simulates vLLM PagedAttention non-contiguous virtual memory block table allocation for dynamic KV-cache management.
GenPark AI Agent Skill - Calculates tensor parallelism column and row weight matrix partition splits across distributed GPU clusters.
GenPark AI Agent Skill - Simulates k-quants block compression (Q4_K_M, Q8_0) packing FP16 weights into quantized blocks with scale factors.
Sharding Large Language Models for loading them efficiently in lesser RAM
Reproducible JAX/Keras 3 + Orbax runtime and TPU v5e-8 production qualification for Microsoft Mage-Flow-Turbo, with bilingual docs, public model artifacts, and acceptance evidence.
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