From 2ab3c8ca9434e9e300bad5ae041085a863da61e8 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 4 Jun 2026 04:08:18 +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: RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf Source: Original Platform --- .gitattributes | 57 +++++++++++++++ README.md | 138 +++++++++++++++++++++++++++++++++++++ Yi-1.5-6B-Chat.IQ3_M.gguf | 3 + Yi-1.5-6B-Chat.IQ3_S.gguf | 3 + Yi-1.5-6B-Chat.IQ3_XS.gguf | 3 + Yi-1.5-6B-Chat.IQ4_NL.gguf | 3 + Yi-1.5-6B-Chat.IQ4_XS.gguf | 3 + Yi-1.5-6B-Chat.Q2_K.gguf | 3 + Yi-1.5-6B-Chat.Q3_K.gguf | 3 + Yi-1.5-6B-Chat.Q3_K_L.gguf | 3 + Yi-1.5-6B-Chat.Q3_K_M.gguf | 3 + Yi-1.5-6B-Chat.Q3_K_S.gguf | 3 + Yi-1.5-6B-Chat.Q4_0.gguf | 3 + Yi-1.5-6B-Chat.Q4_1.gguf | 3 + Yi-1.5-6B-Chat.Q4_K.gguf | 3 + 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+*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q3_K.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q4_K.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q4_1.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q5_0.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q5_K.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q5_1.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text +Yi-1.5-6B-Chat.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..659c52f --- /dev/null +++ b/README.md @@ -0,0 +1,138 @@ +Quantization made by Richard Erkhov. + +[Github](https://github.com/RichardErkhov) + +[Discord](https://discord.gg/pvy7H8DZMG) + +[Request more models](https://github.com/RichardErkhov/quant_request) + + +Yi-1.5-6B-Chat - GGUF +- Model creator: https://huggingface.co/01-ai/ +- Original model: https://huggingface.co/01-ai/Yi-1.5-6B-Chat/ + + +| Name | Quant method | Size | +| ---- | ---- | ---- | +| [Yi-1.5-6B-Chat.Q2_K.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q2_K.gguf) | Q2_K | 2.18GB | +| [Yi-1.5-6B-Chat.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.IQ3_XS.gguf) | IQ3_XS | 2.41GB | +| [Yi-1.5-6B-Chat.IQ3_S.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.IQ3_S.gguf) | IQ3_S | 2.53GB | +| [Yi-1.5-6B-Chat.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q3_K_S.gguf) | Q3_K_S | 2.52GB | +| [Yi-1.5-6B-Chat.IQ3_M.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.IQ3_M.gguf) | IQ3_M | 2.62GB | +| [Yi-1.5-6B-Chat.Q3_K.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q3_K.gguf) | Q3_K | 2.79GB | +| [Yi-1.5-6B-Chat.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q3_K_M.gguf) | Q3_K_M | 2.79GB | +| [Yi-1.5-6B-Chat.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q3_K_L.gguf) | Q3_K_L | 3.01GB | +| [Yi-1.5-6B-Chat.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.IQ4_XS.gguf) | IQ4_XS | 3.11GB | +| [Yi-1.5-6B-Chat.Q4_0.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q4_0.gguf) | Q4_0 | 3.24GB | +| [Yi-1.5-6B-Chat.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.IQ4_NL.gguf) | IQ4_NL | 3.27GB | +| [Yi-1.5-6B-Chat.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q4_K_S.gguf) | Q4_K_S | 3.26GB | +| [Yi-1.5-6B-Chat.Q4_K.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q4_K.gguf) | Q4_K | 3.42GB | +| [Yi-1.5-6B-Chat.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q4_K_M.gguf) | Q4_K_M | 3.42GB | +| [Yi-1.5-6B-Chat.Q4_1.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q4_1.gguf) | Q4_1 | 3.58GB | +| [Yi-1.5-6B-Chat.Q5_0.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q5_0.gguf) | Q5_0 | 3.92GB | +| [Yi-1.5-6B-Chat.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q5_K_S.gguf) | Q5_K_S | 3.92GB | +| [Yi-1.5-6B-Chat.Q5_K.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q5_K.gguf) | Q5_K | 4.01GB | +| [Yi-1.5-6B-Chat.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q5_K_M.gguf) | Q5_K_M | 4.01GB | +| [Yi-1.5-6B-Chat.Q5_1.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q5_1.gguf) | Q5_1 | 4.25GB | +| [Yi-1.5-6B-Chat.Q6_K.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q6_K.gguf) | Q6_K | 4.63GB | +| [Yi-1.5-6B-Chat.Q8_0.gguf](https://huggingface.co/RichardErkhov/01-ai_-_Yi-1.5-6B-Chat-gguf/blob/main/Yi-1.5-6B-Chat.Q8_0.gguf) | Q8_0 | 6.0GB | + + + + +Original model description: +--- +license: apache-2.0 +--- +
+ + + + + +
+ +

+ 🐙 GitHub • + 👾 Discord • + 🐤 Twitter • + 💬 WeChat +
+ 📝 Paper • + 💪 Tech Blog • + 🙌 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, 16K, 32K | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI)| + | Yi-1.5-34B-Chat-16K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | Yi-1.5-9B-Chat-16K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + +
+ +- 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) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | Yi-1.5-34B-32K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | Yi-1.5-9B-32K | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + | Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) • [🟣 wisemodel](https://wisemodel.cn/organization/01.AI) | + +
+ +# 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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