
Claude Skills by Rahulchaube1
github.com/Rahulchaube1Auto-generated specification module 53 for Model Serving.
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Optimizing KV cache allocations to prevent GPU fragmentation.
Dividing model layers across distinct GPU nodes.
Quantizing models to INT4 using Activation-aware Weight Quantization.
Compiling INT4/INT8 models with GPTQ algorithms.
Scaling agent and model runs across Ray clusters.
Executing high-speed structured serving routines.
Using draft models to speed up target model output generations.
Distributing weights across multiple GPUs in a node.
Setting up Triton servers for multi-framework hosting.
Tuning request concurrency and queue parameters.
Configuring vLLM servers for fast throughput.
Using XML tags and reasoning patterns with Claude.
Leveraging thinking tokens with DeepSeek R1.
Optimizing context and vision pipelines on Gemini.
Tuning open Llama 3 models under prompt constraints.
Using FIM patterns and native JSON calls on Mistral.
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