vanilla-llama
Chinese-LLaMA-Alpaca
| vanilla-llama | Chinese-LLaMA-Alpaca | |
|---|---|---|
| 3 | 4 | |
| 179 | 17,539 | |
| - | - | |
| 4.8 | 8.3 | |
| 12 months ago | 21 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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vanilla-llama
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How to extract vector embeddings from passages analyzed with LLaMA
I shouldn't have any trouble with the second step, but I'm not sure how to get started on the first one. I found a Python package for interfacing with LLaMA, but its examples focus on just generating text, and I'm not sure how I would actually get embedding vectors or anything beyond text generation. Ideally, I would like to not even just create embedding vectors but rather directly hook up some new layers to LLaMA for supervised learning.
- Has anyone used LLaMA with a TPU instead of GPU?
- [P] vanilla-llama an hackable plain-pytorch implementation of LLaMA that can be run on any system (if you have enough resources)
Chinese-LLaMA-Alpaca
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Chinese-Alpaca-Plus-13B-GPTQ
I'd like to share with you today the Chinese-Alpaca-Plus-13B-GPTQ model, which is the GPTQ format quantised 4bit models of Yiming Cui's Chinese-LLaMA-Alpaca 13B for GPU reference.
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How to train a new language that is not in base model?
Could follow what people did with the Chinese-LLaMA, just for Korean. Might want to have a pure Korean corpus before feeding in a translation dataset. How big is it by the way?
- Open Source Chinese LLMs
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Its possible to fine tune the llama model to better understand another language?
Chinese: https://github.com/ymcui/Chinese-LLaMA-Alpaca
What are some alternatives?
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
LLaMA_MPS - Run LLaMA inference on Apple Silicon GPUs.
CodeCapybara - Open-source Self-Instruction Tuning Code LLM
chat-llama-discord-bot - A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.
LLMSurvey - The official GitHub page for the survey paper "A Survey of Large Language Models".
xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
paxml - Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
Qwen-VL - The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
LLM-Agent-Paper-List - The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Cornucopia-LLaMA-Fin-Chinese - 聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)