GPT4All-Community/Yi-1.5-9B-Chat-16K-GGUF

[!Note] This is a model that is assumed to perform well, but may require more testing and user feedback. Be aware, only models featured within the GUI of GPT4All, are curated and officially supported by Nomic. Use at your own risk.

About

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• —Static quants of https://huggingface.co/01-ai/Yi-1.5-9B-Chat-16K
• —Quantized by ThiloteE with llama.cpp commit c3776ca

These quants were created with a customized configuration that have been proven to not cause visible end of string (eos) tokens during inference with GPT4All. The config.json, generationconfig.json and tokenizerconfig.json differ from the original configuration as can be found in the original model's repository at the time of creation of these quants.

Prompt Template (for GPT4All)

System Prompt:

<|im_start|>system
Below is an instruction that describes a task. Write a response that appropriately completes the request.<|im_end|>

Chat Template:

<|im_start|>user
%1<|im_end|>
<|im_start|>assistant
%2<|im_end|>

Do not miss the newlines at the end!

Context Length

16384

Provided Quants

About GGUF

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Here is a handy graph by ikawrakow comparing some quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

Thanks

I thank Mradermacher and TheBloke for Inspiration to this model card and their contributions to open source. I thank 3Simplex for everything. Shoutout to the GPT4All and llama.cpp communities :-)

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Original Model card:

license: apache-2.0 --- <div align="center">

<picture> <img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yilogoicon_light.svg" width="150px"> </picture>

</div>

<p align="center"> <a href="https://github.com/01-ai">🐙 GitHub</a> • <a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> • <a href="https://twitter.com/01ai_yi">🐤 Twitter</a> • <a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a> <br/> <a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> • <a href="https://01-ai.github.io/">💪 Tech Blog</a> • <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> • <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a> </p>

Intro

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.

<div align="center">

</div>

Models

• —Chat models

<div align="center">

</div>

• —Base models

<div align="center">

</div>

Benchmarks

• —Chat models

Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.

Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.

• —Base models

Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.

Yi-1.5-9B is the top performer among similarly sized open-source models.

Quick Start

For getting up and running with Yi-1.5 models quickly, see README.

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