|
--- |
|
license: apache-2.0 |
|
--- |
|
|
|
# OpenVINO IR model with int8 quantization |
|
|
|
Model definition for LocalAI: |
|
``` |
|
name: Yi-6B |
|
backend: transformers |
|
parameters: |
|
model: fakezeta/Yi-1.5-6B-Chat-ov-int8 |
|
context_size: 8192 |
|
type: OVModelForCausalLM |
|
template: |
|
use_tokenizer_template: true |
|
``` |
|
|
|
To run the model directly with LocalAI: |
|
``` |
|
local-ai run huggingface://fakezeta/Yi-1.5-6B-Chat-ov-int8/model.yaml |
|
``` |
|
|
|
<div align="center"> |
|
|
|
<picture> |
|
<img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_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://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"> |
|
|
|
Model | Context Length | Pre-trained Tokens |
|
| :------------: | :------------: | :------------: | |
|
| Yi-1.5 | 4K | 3.6T |
|
|
|
</div> |
|
|
|
# Models |
|
|
|
- Chat models |
|
|
|
<div align="center"> |
|
|
|
| Name | Download | |
|
| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
|
| Yi-1.5-34B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
|
| Yi-1.5-9B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
|
| Yi-1.5-6B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
|
|
|
</div> |
|
|
|
- Base models |
|
|
|
<div align="center"> |
|
|
|
| Name | Download | |
|
| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
|
| Yi-1.5-34B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
|
| Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
|
| Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) | |
|
|
|
</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](https://github.com/01-ai/Yi-1.5). |
|
|
|
|
