bigdannypt/wan-2.2-remix-gguf wan22RemixT2VI2V_t2vHighnoiseV10_Q8_0 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.
bigdannypt/wan-2.2-remix-gguf overview
This is the direct conversion to GGUF from the model Wan2.2-Remix (T2V&I2V) - https://civitai.com/models/2003153 =================================================================================== if you would like to help me, it seems that runpod has a Refer thing - https://runpod.io?ref=d2452mau | You get | I get | | --- | --- | | - A one-time credit of $5 when they sign up with your link and adds $10 for the first time- Instant access to Runpod's GPU resources | - A one-time credit of $5 when a user signs up with your link and adds $10 for the first time- Credits on referred user spend during their first 6 months. (5% Serverless and 3% Pods)|
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| wan22RemixT2VI2V_i2vHighV20-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| wan22RemixT2VI2V_i2vHighV20-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| wan22RemixT2VI2V_i2vHighV20-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| wan22RemixT2VI2V_i2vHighV20-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| wan22RemixT2VI2V_i2vHighV20-Q8_0.gguf | GGUF | — | 14.35 GB | Download |
| wan22RemixT2VI2V_i2vHighV21-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| wan22RemixT2VI2V_i2vHighV21-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| wan22RemixT2VI2V_i2vHighV21-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| wan22RemixT2VI2V_i2vHighV21-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| wan22RemixT2VI2V_i2vHighV21-Q8_0.gguf | GGUF | — | 14.35 GB | Download |
| wan22RemixT2VI2V_i2vHighV30-Q3_K_M.gguf | GGUF | Q3_K_M | Unknown | Download |
| wan22RemixT2VI2V_i2vHighV30-Q4_K_M.gguf | GGUF | Q4_K_M | Unknown | Download |
| wan22RemixT2VI2V_i2vHighV30-Q5_K_M.gguf | GGUF | Q5_K_M | Unknown | Download |
| wan22RemixT2VI2V_i2vHighV30-Q6_K.gguf | GGUF | Q6_K | Unknown | Download |
| wan22RemixT2VI2V_i2vHighV30-Q8_0.gguf | GGUF | — | Unknown | Download |
| wan22RemixT2VI2V_i2vHighnoiseV08_Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| wan22RemixT2VI2V_i2vHighnoiseV08_Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| wan22RemixT2VI2V_i2vHighnoiseV08_Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| wan22RemixT2VI2V_i2vHighnoiseV08_Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| wan22RemixT2VI2V_i2vHighnoiseV08_Q8_0.gguf | GGUF | — | 14.35 GB | Download |
| wan22RemixT2VI2V_i2vLowV20-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| wan22RemixT2VI2V_i2vLowV20-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| wan22RemixT2VI2V_i2vLowV20-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| wan22RemixT2VI2V_i2vLowV20-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| wan22RemixT2VI2V_i2vLowV20-Q8_0.gguf | GGUF | — | 14.35 GB | Download |
| wan22RemixT2VI2V_i2vLowV21-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| wan22RemixT2VI2V_i2vLowV21-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| wan22RemixT2VI2V_i2vLowV21-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| wan22RemixT2VI2V_i2vLowV21-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| wan22RemixT2VI2V_i2vLowV21-Q8_0.gguf | GGUF | — | Unknown | Download |
| wan22RemixT2VI2V_i2vLowV30-Q3_K_M.gguf | GGUF | Q3_K_M | Unknown | Download |
| wan22RemixT2VI2V_i2vLowV30-Q4_K_M.gguf | GGUF | Q4_K_M | Unknown | Download |
| wan22RemixT2VI2V_i2vLowV30-Q5_K_M.gguf | GGUF | Q5_K_M | Unknown | Download |
| wan22RemixT2VI2V_i2vLowV30-Q6_K.gguf | GGUF | Q6_K | Unknown | Download |
| wan22RemixT2VI2V_i2vLowV30-Q8_0.gguf | GGUF | — | Unknown | Download |
| wan22RemixT2VI2V_i2vLownoiseV08_Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| wan22RemixT2VI2V_i2vLownoiseV08_Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| wan22RemixT2VI2V_i2vLownoiseV08_Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| wan22RemixT2VI2V_i2vLownoiseV08_Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| wan22RemixT2VI2V_i2vLownoiseV08_Q8_0.gguf | GGUF | — | 14.35 GB | Download |
| wan22RemixT2VI2V_t2vHighV20-Q3_K_M.gguf | GGUF | Q3_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vHighV20-Q4_K_M.gguf | GGUF | Q4_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vHighV20-Q5_K_M.gguf | GGUF | Q5_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vHighV20-Q6_K.gguf | GGUF | Q6_K | Unknown | Download |
| wan22RemixT2VI2V_t2vHighV20-Q8_0.gguf | GGUF | — | Unknown | Download |
| wan22RemixT2VI2V_t2vHighnoiseV10_Q3_K_M.gguf | GGUF | Q3_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vHighnoiseV10_Q4_K_M.gguf | GGUF | Q4_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vHighnoiseV10_Q5_K_M.gguf | GGUF | Q5_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vHighnoiseV10_Q6_K.gguf | GGUF | Q6_K | Unknown | Download |
| wan22RemixT2VI2V_t2vHighnoiseV10_Q8_0.gguf | GGUF | — | Unknown | Download |
| wan22RemixT2VI2V_t2vLowV20-Q3_K_M.gguf | GGUF | Q3_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vLowV20-Q4_K_M.gguf | GGUF | Q4_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vLowV20-Q5_K_M.gguf | GGUF | Q5_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vLowV20-Q6_K.gguf | GGUF | Q6_K | Unknown | Download |
| wan22RemixT2VI2V_t2vLowV20-Q8_0.gguf | GGUF | — | Unknown | Download |
| wan22RemixT2VI2V_t2vLownoiseV10_Q3_K_M.gguf | GGUF | Q3_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vLownoiseV10_Q4_K_M.gguf | GGUF | Q4_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vLownoiseV10_Q5_K_M.gguf | GGUF | Q5_K_M | Unknown | Download |
| wan22RemixT2VI2V_t2vLownoiseV10_Q6_K.gguf | GGUF | Q6_K | Unknown | Download |
| wan22RemixT2VI2V_t2vLownoiseV10_Q8_0.gguf | GGUF | — | Unknown | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"frontmatter": {
"license": "apache-2.0"
},
"hero_image_url": "",
"summary": "This is the direct conversion to GGUF from the model Wan2.2-Remix (T2V&I2V) - https://civitai.com/models/2003153 =================================================================================== if you would like to help me, it seems that runpod has a Refer thing - https://runpod.io?ref=d2452mau | You get | I get | | --- | --- | | - A one-time credit of $5 when they sign up with your link and adds $10 for the first time- Instant access to Runpod's GPU resources | - A one-time credit of $5 when a user signs up with your link and adds $10 for the first time- Credits on referred user spend during their first 6 months. (5% Serverless and 3% Pods)|",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: apache-2.0\n---\n\nThis is the direct conversion to GGUF from the model Wan2.2-Remix (T2V&I2V) - https://civitai.com/models/2003153\n\n===================================================================================\n\nif you would like to help me, it seems that runpod has a Refer thing - https://runpod.io?ref=d2452mau\n\n| You get | I get | \n| --- | --- |\n| - A one-time credit of $5 when they sign up with your link and adds $10 for the first time<br>- Instant access to Runpod's GPU resources | - A one-time credit of $5 when a user signs up with your link and adds $10 for the first time<br>- Credits on referred user spend during their first 6 months. (5% Serverless and 3% Pods)|",
"related_quantizations": []
},
"tags": [
"gguf",
"license:apache-2.0",
"region:us"
],
"likes": 65,
"downloads": 58594,
"gated": false,
"private": false,
"last_modified": "2026-03-30T16:27:22.000Z",
"created_at": "2025-11-02T10:51:30.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "690737b287af41628e6cdaa1",
"id": "BigDannyPt/Wan-2.2-Remix-GGUF",
"modelId": "BigDannyPt/Wan-2.2-Remix-GGUF",
"sha": "9ca395473c002e5f3aac04a3e8dff4122cd33021",
"createdAt": "2025-11-02T10:51:30.000Z",
"lastModified": "2026-03-30T16:27:22.000Z",
"author": "BigDannyPt",
"downloads": 58594,
"likes": 65,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 62
}