From 5c593d56149983eea5a7f8da27e5c72d0653a2a1 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 12 Sep 2026 18:04:17 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: qwp4w3hyb/Yi-1.5-9B-Chat-16K-iMat-GGUF Source: Original Platform --- .gitattributes | 55 +++++++++++++ README.md | 117 +++++++++++++++++++++++++++ imat-bf16-gmerged.dat | 3 + yi-1.5-9b-chat-16k-bf16.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ1_S.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ2_M.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ2_S.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ2_XS.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ2_XXS.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ3_M.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ3_S.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ3_XS.gguf | 3 + yi-1.5-9b-chat-16k-imat-IQ3_XXS.gguf | 3 + 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+model-index: +- name: 01-ai/Yi-1.5-9B-Chat-16K-iMat-GGUF + results: [] +--- + +# Quant Infos + +- quants done with an importance matrix for improved quantization loss +- ggufs & imatrix generated from bf16 for "optimal" accuracy loss +- Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S +- Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [fabf30b4c4fca32e116009527180c252919ca922](https://github.com/ggerganov/llama.cpp/commit/fabf30b4c4fca32e116009527180c252919ca922) (master as of 2024-05-20) +- Imatrix generated with [this](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) multi-purpose dataset. + ``` + ./imatrix -c 512 -m $model_name-f16.gguf -f $llama_cpp_path/groups_merged.txt -o $out_path/imat-f16-gmerged.dat + ``` + +# Original Model Card: + +
+ + + + + +
+ +

+ 🐙 GitHub • + 👾 Discord • + 🐤 Twitter • + 💬 WeChat +
+ 📝 Paper • + 🙌 FAQ • + 📗 Learning Hub +

+ +# 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. + +
+ +Model | Context Length | Pre-trained Tokens +| :------------: | :------------: | :------------: | +| Yi-1.5 | 4K | 3.6T + +
+ +# Models + +- Chat models + +
+ + | 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) | + +
+ +- Base models + +
+ + | 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) | + +
+ +# Benchmarks + +- Chat models + + Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks. + + ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/KcsJ9Oc1VnEmfCDEJc5cd.png) + + Yi-1.5-9B-Chat is the top performer among similarly sized open-source models. + + ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/xf6pLg5jqRCwjlh6m3t6_.png) + +- Base models + + Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks. + + ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/BwU7QM-03dZvZzwdIE1xY.png) + + Yi-1.5-9B is the top performer among similarly sized open-source models. + + ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/y-EYSYPT-3aWLJ0x8R94F.png) + +# Quick Start + +For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5). + + diff 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