aaryank/glm-4.6v-flash-gguf Q2_K GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
aaryank/glm-4.6v-flash-gguf overview
This repository contains GGUF format quantizations of zai-org/GLM-4.6V-Flash.
Downloads
157
Likes
1
Pipeline
image-text-to-text
Library
gguf
Visibility
Public
Access
Open
Repository Files & Downloads
15 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| GLM-4.6V-Flash.fp16.gguf | GGUF | — | 17.52 GB | Download |
| GLM-4.6V-Flash.q2_k.gguf | GGUF | Q2_K | 3.73 GB | Download |
| GLM-4.6V-Flash.q3_k_l.gguf | GGUF | Q3_K_L | 4.84 GB | Download |
| GLM-4.6V-Flash.q3_k_m.gguf | GGUF | Q3_K_M | 4.63 GB | Download |
| GLM-4.6V-Flash.q3_k_s.gguf | GGUF | Q3_K_S | 4.28 GB | Download |
| GLM-4.6V-Flash.q4_0.gguf | GGUF | — | 5.08 GB | Download |
| GLM-4.6V-Flash.q4_1.gguf | GGUF | — | 5.60 GB | Download |
| GLM-4.6V-Flash.q4_k_m.gguf | GGUF | Q4_K_M | 5.74 GB | Download |
| GLM-4.6V-Flash.q4_k_s.gguf | GGUF | Q4_K_S | 5.36 GB | Download |
| GLM-4.6V-Flash.q5_0.gguf | GGUF | — | 6.11 GB | Download |
| GLM-4.6V-Flash.q5_1.gguf | GGUF | — | 6.62 GB | Download |
| GLM-4.6V-Flash.q5_k_m.gguf | GGUF | Q5_K_M | 6.57 GB | Download |
| GLM-4.6V-Flash.q5_k_s.gguf | GGUF | Q5_K_S | 6.24 GB | Download |
| GLM-4.6V-Flash.q6_k.gguf | GGUF | Q6_K | 7.70 GB | Download |
| GLM-4.6V-Flash.q8_0.gguf | GGUF | — | 9.31 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "zai-org/GLM-4.6V-Flash",
"language": [
"zh",
"en"
],
"library_name": "gguf",
"license": "mit",
"pipeline_tag": "image-text-to-text",
"tags": [
"zai",
"glm-4",
"vlm",
"multimodal",
"gguf",
"moe"
],
"frontmatter": {
"base_model": "zai-org/GLM-4.6V-Flash",
"language": [
"zh",
"en"
],
"library_name": "gguf",
"license": "mit",
"pipeline_tag": "image-text-to-text",
"tags": [
"zai",
"glm-4",
"vlm",
"multimodal",
"gguf",
"moe"
]
},
"hero_image_url": "",
"summary": "This repository contains GGUF format quantizations of **zai-org/GLM-4.6V-Flash**.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: zai-org/GLM-4.6V-Flash\nlanguage:\n- zh\n- en\nlibrary_name: gguf\nlicense: mit\npipeline_tag: image-text-to-text\ntags:\n- zai\n- glm-4\n- vlm\n- multimodal\n- gguf\n- moe\n---\n\n# GLM-4.6V-Flash-GGUF\n\nThis repository contains GGUF format quantizations of **[zai-org/GLM-4.6V-Flash](https://huggingface.co/zai-org/GLM-4.6V-Flash)**.\n\n## Model Introduction\n\n**GLM-4.6V-Flash** is a lightweight multimodal model (9B parameters) optimized for local deployment and low-latency applications, part of the GLM-V family. It features a 128k context window and achieves state-of-the-art performance in visual understanding among models of similar scale.\n\nKey features include:\n- **9B Parameters (MoE):** Optimized for efficiency.\n- **Native Multimodal Function Calling:** Can process images/screenshots directly as tool inputs.\n- **Interleaved Image-Text Generation:** Supports complex multimodal contexts.\n- **Document Understanding:** Processes up to 128K tokens of multi-document inputs.\n\n## Usage\n\n**Note:** This model uses the `Glm4vMoe` architecture. Please ensure you are using the latest version of [llama.cpp](https://github.com/ggerganov/llama.cpp) to ensure compatibility.\n\n### Example with llama.cpp\n\n```bash\n./llama-cli -m GLM-4.6V-Flash-Q4_K_M.gguf --mmproj GLM-4.6V-Flash-mmproj-model-f16.gguf -p \"Describe this image\" --image your_image.jpg",
"related_quantizations": []
},
"tags": [
"gguf",
"zai",
"glm-4",
"vlm",
"multimodal",
"moe",
"image-text-to-text",
"zh",
"en",
"base_model:zai-org/GLM-4.6V-Flash",
"base_model:quantized:zai-org/GLM-4.6V-Flash",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 157,
"gated": false,
"private": false,
"last_modified": "2025-12-08T17:23:47.000Z",
"created_at": "2025-12-08T15:56:19.000Z",
"pipeline_tag": "image-text-to-text",
"library_name": "gguf"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6936f523005dc4acebfe28b3",
"id": "AaryanK/GLM-4.6V-Flash-GGUF",
"modelId": "AaryanK/GLM-4.6V-Flash-GGUF",
"sha": "e7227cb937516ca2a52f73a75bc83ad3b66652c6",
"createdAt": "2025-12-08T15:56:19.000Z",
"lastModified": "2025-12-08T17:23:47.000Z",
"author": "AaryanK",
"downloads": 157,
"likes": 1,
"gated": false,
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"pipeline_tag": "image-text-to-text",
"library_name": "gguf",
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}