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Search Llama , found 13 results

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Llama cpp CPU Inference

Orchestra-Research/AI-Research-SKILLs

Deploy llama.cpp to run LLM inference across CPUs, Apple Silicon, and non-NVIDIA GPUs, making it ideal for edge devices or CUDA-free setups with GGUF quantization for faster, lower-memory results.

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.

LlamaGuard Content Moderation

Orchestra-Research/AI-Research-SKILLs

LlamaGuard is Meta’s 7–8B safety-specialized LLM that filters both prompts and responses by classifying six threat categories, enabling fast inference via vLLM/SageMaker and integration into NeMo Guardrails for end-to-end moderation.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data framework that connects LLMs with documents via ingestion, indexing, and querying for RAG, chatbots, and knowledge retrieval, offering connectors, vector indices, query engines, and agents.

Vision Language Assistant

Orchestra-Research/AI-Research-SKILLs

Open-source LLaVA combines CLIP vision encoder with Vicuna/LLaMA to enable multi-turn vision-language chatbots, visual question answering, image captioning, and instruction following via CLI, Python API, or Gradio interface.

Nnsight Remote Interpretability

nnsight-remote-interpretability

Orchestra-Research/AI-Research-SKILLs

Guides researchers through nnsight workflows for probing PyTorch models locally or via NDIF remote nodes, covering activation analysis, patching, and tracing tools for massive GPT/Llama families.

Ollama Local Deployment

jeremylongshore/claude-code-plugins-plus-skills

Automates Ollama installation, model selection, and integration so you can run self-hosted LLMs offline on macOS, Linux, or Docker with curated hardware guidance, Python/Node.js clients, and REST API verification.

Structured Text Generation

Orchestra-Research/AI-Research-SKILLs

Outlines guarantees valid JSON/XML/code generation via CFG-driven FSM filtering, Pydantic schemas, and fast local or API models (Transformers, vLLM, llama.cpp), making structured inference safe and high-performance.

Slime RL Training

slime-rl-training

Orchestra-Research/AI-Research-SKILLs

Guides LLM post-training with reinforcement learning using the Slime (Megatron + SGLang) framework, covering GLM-style training, custom data buffers, rollout management, and Megatron-LM integration for scalable policy tuning.

Megatron LLM Training

training-llms-megatron

Orchestra-Research/AI-Research-SKILLs

Megatron-Core orchestrates training of 2B–462B parameter LLMs with tensor/pipeline/context/expert parallelism, maximizing H100 MFU for production-grade distributed training pipelines.

LeCun Philosophy Module

yann-lecun-filosofia

sickn33/antigravity-awesome-skills

Emulates Yann LeCun’s open-source philosophy and pedagogical persona to help explore LLaMA history, corporate incentives, Socratic teaching, and how open science shapes AI research and accountability.

Local LLM Deployment Mastery

local-llm-expert

sickn33/antigravity-awesome-skills

Expert guidance for private, offline local LLM inference: selecting optimal quant formats (GGUF, EXL2, AWQ), sizing VRAM/RAM, and running models with Ollama, llama.cpp, vLLM or LM Studio while keeping privacy-first deployments secure.

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