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Model: qwp4w3hyb/Yi-1.5-6B-Chat-iMat-GGUF Source: Original Platform
2026-05-27 01:12:16 +08:00
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+---
+license: apache-2.0
+pipeline_tag: text-generation
+base_model: 01-ai/Yi-1.5-6B-Chat
+tags:
+- yi
+- 01-ai
+- instruct
+- finetune
+- chatml
+- gguf
+- imatrix
+- importance matrix
+model-index:
+- name: 01-ai/Yi-1.5-6B-Chat-iMat-GGUF
+  results: []
+---
+
+# Quant Infos
+
+- quants done with an importance matrix for improved quantization loss
+- gguf & imatrix generated from bf16 for "optimal" accuracy loss (some say this is snake oil, but it can't hurt)
+- 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 [dc685be46622a8fabfd57cfa804237c8f15679b8](https://github.com/ggerganov/llama.cpp/commit/dc685be46622a8fabfd57cfa804237c8f15679b8) (master as of 2024-05-12)
+- 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:
+
+<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.
+
+  ![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).
+