117 lines
5.1 KiB
Markdown
117 lines
5.1 KiB
Markdown
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---
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license: apache-2.0
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pipeline_tag: text-generation
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base_model: 01-ai/Yi-1.5-9B-Chat
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tags:
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- yi
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- 01-ai
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- instruct
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- finetune
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- chatml
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- gguf
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- imatrix
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- importance matrix
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model-index:
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- name: 01-ai/Yi-1.5-9B-Chat-iMat-GGUF
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results: []
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---
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# Quant Infos
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- quants done with an importance matrix for improved quantization loss
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- ggufs & imatrix generated from bf16 for "optimal" accuracy loss
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- Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S
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- Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [dc685be46622a8fabfd57cfa804237c8f15679b8](https://github.com/ggerganov/llama.cpp/commit/dc685be46622a8fabfd57cfa804237c8f15679b8) (master as of 2024-05-12)
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- Imatrix generated with [this](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) multi-purpose dataset.
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```
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./imatrix -c 512 -m $model_name-f16.gguf -f $llama_cpp_path/groups_merged.txt -o $out_path/imat-f16-gmerged.dat
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```
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# Original Model Card:
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<div align="center">
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<picture>
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<img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
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</picture>
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</div>
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<p align="center">
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<a href="https://github.com/01-ai">🐙 GitHub</a> •
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<a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> •
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<a href="https://twitter.com/01ai_yi">🐤 Twitter</a> •
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<a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a>
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<br/>
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<a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> •
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<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> •
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<a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a>
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</p>
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# Intro
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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.
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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.
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<div align="center">
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Model | Context Length | Pre-trained Tokens
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| :------------: | :------------: | :------------: |
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| Yi-1.5 | 4K | 3.6T
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</div>
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# Models
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- Chat models
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<div align="center">
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| Name | Download |
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| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| 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) |
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| 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) |
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| 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) |
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</div>
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- Base models
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<div align="center">
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| Name | Download |
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| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Yi-1.5-34B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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| Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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</div>
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# Benchmarks
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- Chat models
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Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.
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Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.
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- Base models
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Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.
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Yi-1.5-9B is the top performer among similarly sized open-source models.
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# Quick Start
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For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5).
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