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Search Large Language Models , found 7 results

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AWQ Weight Quantization

awq-quantization

Orchestra-Research/AI-Research-SKILLs

AWQ provides activation-aware 4-bit quantization for large language models, delivering ~3x inference speedup and sub-5% accuracy loss to deploy instruction-tuned or multimodal models on memory-constrained GPUs with vLLM integration and Marlin kernels.

Context Degradation Patterns

context-degradation

sickn33/antigravity-awesome-skills

Analyzes predictable context degradation behaviors in large language models to diagnose lost-in-middle errors, context poisoning, distraction, and confusion during long conversations or system design.

Fine-Tuning LLM Expert

fine-tuning-expert

Jeffallan/claude-skills

Hands-on guide for tuning large language models via LoRA/QLoRA/PEFT, covering dataset prep, hyperparameter config, adapter training, evaluation, and production deployment with quantization best practices.

LLM Knowledge Distillation

knowledge-distillation

Orchestra-Research/AI-Research-SKILLs

Compress large language models via teacher-student distillation, covering temperature scaling, soft targets, reverse KLD, and response distillation so you can deploy smaller LLMs with GPT-4-level behavior and lower inference cost.

Llama Factory Guide

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance for fine-tuning large language models with LLaMA-Factory, covering no-code WebUI usage, QLoRA/LoRA optimizations, multimodal inputs, and curated references so developers can build and debug solutions faster.

OpenRouter Model Catalog

openrouter-model-catalog

jeremylongshore/claude-code-plugins-plus-skills

Programmatically query and filter OpenRouter’s model catalog to identify available large language models, verify API connectivity, and test integration outputs before deployment. Ideal for selecting a fitting model or confirming availability.

Local LLM Deployment Guide

local-llm-expert

sickn33/antigravity-awesome-skills

Provides expert workflow for selecting engines, quantization formats, and prompts to run local large language models with privacy-first practices on constrained VRAM/RAM hardware.

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