In this work, we present Sketch, an innovative toolkit designed to streamline LLM operations across diverse fields. Sketch comprises the following components: (1) a suite of task description schemas and prompt templates encompassing various NLP tasks; (2) a user-friendly, interactive process for ...
b. 方法的详细步骤: (1). ChatMOF系统由三个核心组件组成:代理(agent)、工具包(toolkit)和评估器(evaluator)。代理根据用户的查询制定计划并选择合适的工具包,工具包执行计划并生成输出,评估器将这些结果转化为最终的回应。 (2). ChatMOF利用大规模语言模型(LLMs)作为中央规划者、调节器和评估器,类似于人脑的功...
2.ShearedLLaMA series: structured pruning form a large model to a small one Paper and models:https://xiamengzhou.github.io/sheared-llama/. Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning Paper:https://arxiv.org/abs/2310.06694 Code:https://github.com/princeton-nlp/...
TGI- a toolkit for deploying and serving Large Language Models (LLMs). TensorRT-LLM- Nvidia Framework for LLM Inference Reference:awesome-llm-apps dspy- DSPy: The framework for programming—not prompting—foundation models. LangChain— A popular Python/JavaScript library for chaining sequences of...
from llmware.models import ModelCatalog ModelCatalog().get_llm_toolkit() # get all SLIM models, delivered as small, fast quantized tools ModelCatalog().tool_test_run("slim-sentiment-tool") # see the model in action with test script included ...
[4] Zhang et al. BMCook: A Task-agnostic Compression Toolkit for Big Models. EMNLP 2022 Demo. [5] MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. Findings of ACL 2022. [6] The Lazy Neuron Pheno...
[4] Zhang et al. BMCook: A Task-agnostic Compression Toolkit for Big Models. EMNLP 2022 Demo. [5] MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. Findings of ACL 2022. [6] The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR 2023. ...
The challenge here is that for every application, the world will be different. What you need is a toolkit custom-made to build simulation environments and one that can manage world states and has generic classes for agents. You also need a communication protocol established for managing traffic ...
[4] Zhang et al. BMCook: A Task-agnostic Compression Toolkit for Big Models. EMNLP 2022 Demo. [5] MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. Findings of ACL 2022. [6] The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR 2023. ...
olmOCR: A toolkit for training language models to work with PDF documents in the wild. Easy Dataset: A powerful tool for creating fine-tuning datasets for LLM. ↥ back to top 微调Fine-Tuning LLaMA-Factory: Unify Efficient Fine-Tuning of 100+ LLMs. ...