LLaMA Open and Efficient Foundation Language Models - Code World

LLaMA Open and Efficient Foundation Language Models

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LLaMA Open and Efficient Foundation Language Models

LLaMA: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

A simple interpretation of an open source large-scale language model LLaMA paper, LLaMA: Open and Efficient Foundation Language Models

Code Llama: Open Foundation Models for Code

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

【LLM系列之LlaMA】Llama: Open and Efficient Foundation Language Models

LLaMA 2: Open Foundation and Fine-Tuned Chat Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-into Attention论文解读

PMC-LLaMA: Towards Building Open-source Language Models for Medicine

How to make Llama2 and Tongyi Qianwen open source large language models run quickly on function computing?

Evolution History of Open Source Language Large Models: Keeping pace with LLaMA 2

VL Model Open-Set Domain Adaptation with Visual-Language Foundation Models Paper Reading Notes

The Chinese version of the open source Llama 2 has language and multi-modal large models at the same time, which is completely commercially available

Meta｜LLaMA open source language model

Video-LLaMA: Giving visual and auditory capabilities to large language models

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

The correct posture for large open source language models

Why are open source language large models important?

A review of large-scale language models, very detailed, the pattern is open! A Survey of Large Language Models

LLaMA series models

Baichuan 2: Open Large-scale Language Models

[Paper Notes]Baichuan 2: Open Large-scale Language Models

Deploying open source large language models for building chatbots on Amazon SageMaker

The evolution history of open source language large models: early innovations

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

LLMs: LLaMA Efficient Tuning (an efficient tool that can efficiently fine-tune [full parameters/LoRA/QLoRA] mainstream large models [ChatGLM2/LLaMA2/Baichuan, etc.] [pre-training + instruction supervision fine-tuning +

Large-scale language models from theory to practice: model foundation, data, reinforcement learning, application, evaluation

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