Model Intelligence Sheet
unsloth/glm-4.5-gguf overview
๐ Join our Discord community. ๐ Check out the GLM-4.5 technical blog. ๐ Use GLM-4.5 API services on Z.ai API Platform (Global) or Zhipu AI Open Platform (Mainland China). ๐ One click to GLM-4.5.
Downloads
1,884
Likes
51
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
131 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| GLM-4.5-BF16-00001-of-00015.gguf | GGUF | BF16 | 46.06 GB | Download |
| GLM-4.5-BF16-00002-of-00015.gguf | GGUF | BF16 | 46.51 GB | Download |
| GLM-4.5-BF16-00003-of-00015.gguf | GGUF | BF16 | 46.46 GB | Download |
| GLM-4.5-BF16-00004-of-00015.gguf | GGUF | BF16 | 46.34 GB | Download |
| GLM-4.5-BF16-00005-of-00015.gguf | GGUF | BF16 | 46.51 GB | Download |
| GLM-4.5-BF16-00006-of-00015.gguf | GGUF | BF16 | 46.46 GB | Download |
| GLM-4.5-BF16-00007-of-00015.gguf | GGUF | BF16 | 46.34 GB | Download |
| GLM-4.5-BF16-00008-of-00015.gguf | GGUF | BF16 | 46.51 GB | Download |
| GLM-4.5-BF16-00009-of-00015.gguf | GGUF | BF16 | 46.46 GB | Download |
| GLM-4.5-BF16-00010-of-00015.gguf | GGUF | BF16 | 46.34 GB | Download |
| GLM-4.5-BF16-00011-of-00015.gguf | GGUF | BF16 | 46.51 GB | Download |
| GLM-4.5-BF16-00012-of-00015.gguf | GGUF | BF16 | 46.46 GB | Download |
| GLM-4.5-BF16-00013-of-00015.gguf | GGUF | BF16 | 46.34 GB | Download |
| GLM-4.5-BF16-00014-of-00015.gguf | GGUF | BF16 | 46.51 GB | Download |
| GLM-4.5-BF16-00015-of-00015.gguf | GGUF | BF16 | 17.78 GB | Download |
| GLM-4.5-IQ4_NL-00001-of-00005.gguf | GGUF | IQ4_NL | 46.37 GB | Download |
| GLM-4.5-IQ4_NL-00002-of-00005.gguf | GGUF | IQ4_NL | 46.25 GB | Download |
| GLM-4.5-IQ4_NL-00003-of-00005.gguf | GGUF | IQ4_NL | 46.18 GB | Download |
| GLM-4.5-IQ4_NL-00004-of-00005.gguf | GGUF | IQ4_NL | 46.18 GB | Download |
| GLM-4.5-IQ4_NL-00005-of-00005.gguf | GGUF | IQ4_NL | 3.57 GB | Download |
| GLM-4.5-IQ4_XS-00001-of-00004.gguf | GGUF | IQ4_XS | 46.53 GB | Download |
| GLM-4.5-IQ4_XS-00002-of-00004.gguf | GGUF | IQ4_XS | 46.23 GB | Download |
| GLM-4.5-IQ4_XS-00003-of-00004.gguf | GGUF | IQ4_XS | Unknown | Download |
| GLM-4.5-IQ4_XS-00004-of-00004.gguf | GGUF | IQ4_XS | Unknown | Download |
| GLM-4.5-Q2_K-00001-of-00003.gguf | GGUF | Q2_K | Unknown | Download |
| GLM-4.5-Q2_K-00002-of-00003.gguf | GGUF | Q2_K | Unknown | Download |
| GLM-4.5-Q2_K-00003-of-00003.gguf | GGUF | Q2_K | Unknown | Download |
| GLM-4.5-Q2_K_L-00001-of-00003.gguf | GGUF | Q2_K_L | Unknown | Download |
| GLM-4.5-Q2_K_L-00002-of-00003.gguf | GGUF | Q2_K_L | Unknown | Download |
| GLM-4.5-Q2_K_L-00003-of-00003.gguf | GGUF | Q2_K_L | Unknown | Download |
| GLM-4.5-Q3_K_M-00001-of-00004.gguf | GGUF | Q3_K_M | Unknown | Download |
| GLM-4.5-Q3_K_M-00002-of-00004.gguf | GGUF | Q3_K_M | Unknown | Download |
| GLM-4.5-Q3_K_M-00003-of-00004.gguf | GGUF | Q3_K_M | Unknown | Download |
| GLM-4.5-Q3_K_M-00004-of-00004.gguf | GGUF | Q3_K_M | Unknown | Download |
| GLM-4.5-Q3_K_S-00001-of-00004.gguf | GGUF | Q3_K_S | Unknown | Download |
| GLM-4.5-Q3_K_S-00002-of-00004.gguf | GGUF | Q3_K_S | Unknown | Download |
| GLM-4.5-Q3_K_S-00003-of-00004.gguf | GGUF | Q3_K_S | Unknown | Download |
| GLM-4.5-Q3_K_S-00004-of-00004.gguf | GGUF | Q3_K_S | Unknown | Download |
| GLM-4.5-Q4_0-00001-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_0-00002-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_0-00003-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_0-00004-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_0-00005-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_1-00001-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_1-00002-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_1-00003-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_1-00004-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_1-00005-of-00005.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q4_K_M-00001-of-00005.gguf | GGUF | Q4_K_M | Unknown | Download |
| GLM-4.5-Q4_K_M-00002-of-00005.gguf | GGUF | Q4_K_M | Unknown | Download |
| GLM-4.5-Q4_K_M-00003-of-00005.gguf | GGUF | Q4_K_M | Unknown | Download |
| GLM-4.5-Q4_K_M-00004-of-00005.gguf | GGUF | Q4_K_M | Unknown | Download |
| GLM-4.5-Q4_K_M-00005-of-00005.gguf | GGUF | Q4_K_M | Unknown | Download |
| GLM-4.5-Q4_K_S-00001-of-00005.gguf | GGUF | Q4_K_S | Unknown | Download |
| GLM-4.5-Q4_K_S-00002-of-00005.gguf | GGUF | Q4_K_S | Unknown | Download |
| GLM-4.5-Q4_K_S-00003-of-00005.gguf | GGUF | Q4_K_S | Unknown | Download |
| GLM-4.5-Q4_K_S-00004-of-00005.gguf | GGUF | Q4_K_S | Unknown | Download |
| GLM-4.5-Q4_K_S-00005-of-00005.gguf | GGUF | Q4_K_S | Unknown | Download |
| GLM-4.5-Q5_K_M-00001-of-00006.gguf | GGUF | Q5_K_M | Unknown | Download |
| GLM-4.5-Q5_K_M-00002-of-00006.gguf | GGUF | Q5_K_M | Unknown | Download |
| GLM-4.5-Q5_K_M-00003-of-00006.gguf | GGUF | Q5_K_M | Unknown | Download |
| GLM-4.5-Q5_K_M-00004-of-00006.gguf | GGUF | Q5_K_M | Unknown | Download |
| GLM-4.5-Q5_K_M-00005-of-00006.gguf | GGUF | Q5_K_M | Unknown | Download |
| GLM-4.5-Q5_K_M-00006-of-00006.gguf | GGUF | Q5_K_M | Unknown | Download |
| GLM-4.5-Q5_K_S-00001-of-00005.gguf | GGUF | Q5_K_S | Unknown | Download |
| GLM-4.5-Q5_K_S-00002-of-00005.gguf | GGUF | Q5_K_S | Unknown | Download |
| GLM-4.5-Q5_K_S-00003-of-00005.gguf | GGUF | Q5_K_S | Unknown | Download |
| GLM-4.5-Q5_K_S-00004-of-00005.gguf | GGUF | Q5_K_S | Unknown | Download |
| GLM-4.5-Q5_K_S-00005-of-00005.gguf | GGUF | Q5_K_S | Unknown | Download |
| GLM-4.5-Q6_K-00001-of-00006.gguf | GGUF | Q6_K | Unknown | Download |
| GLM-4.5-Q6_K-00002-of-00006.gguf | GGUF | Q6_K | Unknown | Download |
| GLM-4.5-Q6_K-00003-of-00006.gguf | GGUF | Q6_K | Unknown | Download |
| GLM-4.5-Q6_K-00004-of-00006.gguf | GGUF | Q6_K | Unknown | Download |
| GLM-4.5-Q6_K-00005-of-00006.gguf | GGUF | Q6_K | Unknown | Download |
| GLM-4.5-Q6_K-00006-of-00006.gguf | GGUF | Q6_K | Unknown | Download |
| GLM-4.5-Q8_0-00001-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00002-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00003-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00004-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00005-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00006-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00007-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-Q8_0-00008-of-00008.gguf | GGUF | โ | Unknown | Download |
| GLM-4.5-UD-IQ1_M-00001-of-00003.gguf | GGUF | IQ1_M | Unknown | Download |
| GLM-4.5-UD-IQ1_M-00002-of-00003.gguf | GGUF | IQ1_M | Unknown | Download |
| GLM-4.5-UD-IQ1_M-00003-of-00003.gguf | GGUF | IQ1_M | Unknown | Download |
| GLM-4.5-UD-IQ1_S-00001-of-00002.gguf | GGUF | IQ1_S | Unknown | Download |
| GLM-4.5-UD-IQ1_S-00002-of-00002.gguf | GGUF | IQ1_S | Unknown | Download |
| GLM-4.5-UD-IQ2_M-00001-of-00003.gguf | GGUF | IQ2_M | Unknown | Download |
| GLM-4.5-UD-IQ2_M-00002-of-00003.gguf | GGUF | IQ2_M | Unknown | Download |
| GLM-4.5-UD-IQ2_M-00003-of-00003.gguf | GGUF | IQ2_M | Unknown | Download |
| GLM-4.5-UD-IQ2_XXS-00001-of-00003.gguf | GGUF | IQ2_XXS | Unknown | Download |
| GLM-4.5-UD-IQ2_XXS-00002-of-00003.gguf | GGUF | IQ2_XXS | Unknown | Download |
| GLM-4.5-UD-IQ2_XXS-00003-of-00003.gguf | GGUF | IQ2_XXS | Unknown | Download |
| GLM-4.5-UD-IQ3_XXS-00001-of-00003.gguf | GGUF | IQ3_XXS | Unknown | Download |
| GLM-4.5-UD-IQ3_XXS-00002-of-00003.gguf | GGUF | IQ3_XXS | Unknown | Download |
| GLM-4.5-UD-IQ3_XXS-00003-of-00003.gguf | GGUF | IQ3_XXS | Unknown | Download |
| GLM-4.5-UD-Q2_K_XL-00001-of-00003.gguf | GGUF | Q2_K_XL | Unknown | Download |
| GLM-4.5-UD-Q2_K_XL-00002-of-00003.gguf | GGUF | Q2_K_XL | Unknown | Download |
| GLM-4.5-UD-Q2_K_XL-00003-of-00003.gguf | GGUF | Q2_K_XL | Unknown | Download |
| GLM-4.5-UD-Q3_K_XL-00001-of-00004.gguf | GGUF | Q3_K_XL | Unknown | Download |
| GLM-4.5-UD-Q3_K_XL-00002-of-00004.gguf | GGUF | Q3_K_XL | Unknown | Download |
| GLM-4.5-UD-Q3_K_XL-00003-of-00004.gguf | GGUF | Q3_K_XL | Unknown | Download |
| GLM-4.5-UD-Q3_K_XL-00004-of-00004.gguf | GGUF | Q3_K_XL | Unknown | Download |
| GLM-4.5-UD-Q4_K_XL-00001-of-00005.gguf | GGUF | Q4_K_XL | Unknown | Download |
| GLM-4.5-UD-Q4_K_XL-00002-of-00005.gguf | GGUF | Q4_K_XL | Unknown | Download |
| GLM-4.5-UD-Q4_K_XL-00003-of-00005.gguf | GGUF | Q4_K_XL | Unknown | Download |
| GLM-4.5-UD-Q4_K_XL-00004-of-00005.gguf | GGUF | Q4_K_XL | Unknown | Download |
| GLM-4.5-UD-Q4_K_XL-00005-of-00005.gguf | GGUF | Q4_K_XL | Unknown | Download |
| GLM-4.5-UD-Q5_K_XL-00001-of-00006.gguf | GGUF | Q5_K_XL | Unknown | Download |
| GLM-4.5-UD-Q5_K_XL-00002-of-00006.gguf | GGUF | Q5_K_XL | Unknown | Download |
| GLM-4.5-UD-Q5_K_XL-00003-of-00006.gguf | GGUF | Q5_K_XL | Unknown | Download |
| GLM-4.5-UD-Q5_K_XL-00004-of-00006.gguf | GGUF | Q5_K_XL | Unknown | Download |
| GLM-4.5-UD-Q5_K_XL-00005-of-00006.gguf | GGUF | Q5_K_XL | Unknown | Download |
| GLM-4.5-UD-Q5_K_XL-00006-of-00006.gguf | GGUF | Q5_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00001-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00002-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00003-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00004-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00005-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00006-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q6_K_XL-00007-of-00007.gguf | GGUF | Q6_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00001-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00002-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00003-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00004-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00005-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00006-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00007-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-Q8_K_XL-00008-of-00008.gguf | GGUF | Q8_K_XL | Unknown | Download |
| GLM-4.5-UD-TQ1_0.gguf | GGUF | โ | 78.54 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "mit",
"language": [
"en",
"zh"
],
"pipeline_tag": "text-generation",
"library_name": "transformers",
"base_model": [
"zai-org/GLM-4.5"
],
"frontmatter": {
"license": "mit",
"language": [
"en",
"zh"
],
"pipeline_tag": "text-generation",
"library_name": "transformers",
"base_model": [
"zai-org/GLM-4.5"
]
},
"hero_image_url": "https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/bench.png",
"summary": "๐ Join our Discord community. ๐ Check out the GLM-4.5 technical blog. ๐ Use GLM-4.5 API services on Z.ai API Platform (Global) or Zhipu AI Open Platform (Mainland China). ๐ One click to GLM-4.5.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: mit\nlanguage:\n- en\n- zh\npipeline_tag: text-generation\nlibrary_name: transformers\nbase_model:\n- zai-org/GLM-4.5\n---\n\n# GLM-4.5\n\n<div align=\"center\">\n<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width=\"15%\"/>\n</div>\n<p align=\"center\">\n ๐ Join our <a href=\"https://discord.gg/QR7SARHRxK\" target=\"_blank\">Discord</a> community.\n <br>\n ๐ Check out the GLM-4.5 <a href=\"https://z.ai/blog/glm-4.5\" target=\"_blank\">technical blog</a>.\n <br>\n ๐ Use GLM-4.5 API services on <a href=\"https://docs.z.ai/guides/llm/glm-4.5\">Z.ai API Platform (Global)</a> or <br> <a href=\"https://docs.bigmodel.cn/cn/guide/models/text/glm-4.5\">Zhipu AI Open Platform (Mainland China)</a>.\n <br>\n ๐ One click to <a href=\"https://chat.z.ai\">GLM-4.5</a>.\n</p>\n \n## Model Introduction\n\nThe **GLM-4.5** series models are foundation models designed for intelligent agents. GLM-4.5 has **355** billion total parameters with **32** billion active parameters, while GLM-4.5-Air adopts a more compact design with **106** billion total parameters and **12** billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.\n\nBoth GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.\n\nWe have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development.\n\nAs demonstrated in our comprehensive evaluation across 12 industry-standard benchmarks, GLM-4.5 achieves exceptional performance with a score of **63.2**, in the **3rd** place among all the proprietary and open-source models. Notably, GLM-4.5-Air delivers competitive results at **59.8** while maintaining superior efficiency.\n\n\n\nFor more eval results, show cases, and technical details, please visit\nour [technical blog](https://z.ai/blog/glm-4.5). The technical report will be released soon.\n\n\nThe model code, tool parser and reasoning parser can be found in the implementation of [transformers](https://github.com/huggingface/transformers/tree/main/src/transformers/models/glm4_moe), [vLLM](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/glm4_moe_mtp.py) and [SGLang](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/models/glm4_moe.py).\n\n## Quick Start\n\nPlease refer our [github page](https://github.com/zai-org/GLM-4.5) for more detail.",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"text-generation",
"en",
"zh",
"base_model:zai-org/GLM-4.5",
"base_model:quantized:zai-org/GLM-4.5",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 51,
"downloads": 1884,
"gated": false,
"private": false,
"last_modified": "2025-12-26T05:09:51.000Z",
"created_at": "2025-08-05T09:21:46.000Z",
"pipeline_tag": "text-generation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6891cd2adedb989c6c544d3c",
"id": "unsloth/GLM-4.5-GGUF",
"modelId": "unsloth/GLM-4.5-GGUF",
"sha": "d4573659be99a9eb1ada9abd5d0df6d8afc5a3a4",
"createdAt": "2025-08-05T09:21:46.000Z",
"lastModified": "2025-12-26T05:09:51.000Z",
"author": "unsloth",
"downloads": 1884,
"likes": 51,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "transformers",
"siblings_count": 134
}