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Search Llama , found 15 results

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On-Chain Analytics Toolkit

analyzing-on-chain-data

jeremylongshore/claude-code-plugins-plus-skills

Provides CLI-driven DeFi analytics using DeFiLlama for TVL, fees, DEX volumes, yields, and trending protocols so research teams can explore on-chain signals without writing custom subgraphs.

On-Chain Analytics Toolkit

analyzing-on-chain-data

jeremylongshore/claude-code-plugins-plus-skills

Provides CLI-driven DeFi analytics using DeFiLlama for TVL, fees, DEX volumes, yields, and trending protocols so research teams can explore on-chain signals without writing custom subgraphs.

TorchTitan LLM Pretraining

distributed-llm-pretraining-torchtitan

Orchestra-Research/AI-Research-SKILLs

TorchTitan delivers PyTorch-native distributed LLM pretraining with composable 4D parallelism (FSDP2, TP, PP, CP), Float8, torch.compile, and checkpointing so you can scale Llama 3.1, DeepSeek V3, or custom models across 8 to 512+ GPUs.

GGUF Quantization Guide

gguf-quantization

Orchestra-Research/AI-Research-SKILLs

Provides GGUF format and llama.cpp quantization workflows for efficient CPU/Apple Silicon inference, including conversion, quantization, and runtime commands suited for deploying large models without GPUs.

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.

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