RankVicuna具有7B参数,在有效性方面与RankGPT3.5相当,优于基线方法(BM25和Contriever)。结果表明,所有LLM重新排序器都优于基线方法。
作者很兴奋地发布了Open LLM排行榜的新版本v2,相比之前的版本更加困难,可以通过作者发布的一些v1和v2得分比较看出来。随着开放模型不断改进并占据一些评估的主导地位,是时候转向新的基准了。排行榜仍然由@huggingface H10
StableLM is an open source LLM from Stability AI, which made the AI image generator Stable Diffusion. It trained on a dataset containing 1.5 trillion tokens called “The Pile” and is fine-tuned with a combination of open source datasets from Alpaca, GPT4All (which offers a range of models...
We are thrilled to introduce OpenCompass 2.0, an advanced suite featuring three key components:CompassKit,CompassHub, andCompassRank. CompassRankhas been significantly enhanced into the leaderboards that now incorporates both open-source benchmarks and proprietary benchmarks. This upgrade allows for a...
🦾 OpenLLM: Self-Hosting Large Language Models Made Easy Run any open-source LLMs, such as Llama 2 and Mistral, as OpenAI-compatible API endpoints, locally and in the cloud. 📖 Introduction OpenLLM is an open-source platform designed to facilitate the deployment and operation of large lan...
providing researchers and practitioners with accessible and transparent resources to develop their FinLLMs. We highlight the importance of an automatic data curation pipeline and the lightweight low-rank adaptation technique in building FinGPT. Furthermore, we showcase several potential applications as ...
bentoml/OpenLLM Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud. 最后发布版本:v0.5.0-alpha.1( 2024-03-21 09:46:20) 官方网址GitHub网址 📖 Introduction OpenLLM helps developersrun any open-source LLMs, such as Llama 2 and Mistral,...
我们用的是基础模型数据是 姜子牙大模型Ziya-LLaMA-13B [11]同时使用 Low-Rank Adaptation (LoRA进行训练) ,并把自我提示模型运用进去进行模型修正,运用的多个A100GPU进行训练。 https://L/Ziya-LLaMA-13B-v1 https://arxiv.org/pdf/2106.09685.pdf
The low-rank adoption allows us to run an Instruct model of similar quality to GPT-3.5 on 4GB RAM Raspberry Pi 4. The project provides source code, fine-tuning examples, inference code, model weights, dataset, and demo. The best part is that we can train our model within a few hours...
we present RankVicuna, the first fully open-source LLM capable of performing high-quality listwise reranking in a zero-shot setting. Experimental results on the TREC 2019 and 2020 Deep Learning Tracks show that we can achieve effectiveness comparable to zero-shot reranking with GPT-3.5 with a ...