koitenshin/huihui-internvl3-8b-abliterated-gguf Q6_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
koitenshin/huihui-internvl3-8b-abliterated-gguf overview
The necessary multimodal projector for this model has been re-uploaded. The model did not use the F32 version, but does use the F16 version. # Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF This model was converted to GGUF format from huihui-ai/Huihui-InternVL3-8B-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads
191
Likes
2
Pipeline
image-text-to-text
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
13 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| huihui-internvl3-8b-abliterated-q2_k.gguf | GGUF | Q2_K | 2.81 GB | Download |
| huihui-internvl3-8b-abliterated-q3_k_l.gguf | GGUF | Q3_K_L | 3.81 GB | Download |
| huihui-internvl3-8b-abliterated-q3_k_m.gguf | GGUF | Q3_K_M | 3.55 GB | Download |
| huihui-internvl3-8b-abliterated-q3_k_s.gguf | GGUF | Q3_K_S | 3.25 GB | Download |
| huihui-internvl3-8b-abliterated-q4_0.gguf | GGUF | — | 4.13 GB | Download |
| huihui-internvl3-8b-abliterated-q4_k_m.gguf | GGUF | Q4_K_M | 4.36 GB | Download |
| huihui-internvl3-8b-abliterated-q4_k_s.gguf | GGUF | Q4_K_S | 4.15 GB | Download |
| huihui-internvl3-8b-abliterated-q5_0.gguf | GGUF | — | 4.95 GB | Download |
| huihui-internvl3-8b-abliterated-q5_k_m.gguf | GGUF | Q5_K_M | 5.07 GB | Download |
| huihui-internvl3-8b-abliterated-q5_k_s.gguf | GGUF | Q5_K_S | 4.95 GB | Download |
| huihui-internvl3-8b-abliterated-q6_k.gguf | GGUF | Q6_K | 5.82 GB | Download |
| huihui-internvl3-8b-abliterated-q8_0.gguf | GGUF | — | 7.54 GB | Download |
| mmproj-Huihui-InternVL3-8B-abliterated-F16.gguf | GGUF | F16 | 635.15 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"license_name": "qwen",
"license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers",
"base_model": "huihui-ai/Huihui-InternVL3-8B-abliterated",
"base_model_relation": "finetune",
"language": [
"multilingual"
],
"tags": [
"internvl",
"custom_code",
"abliterated",
"uncensored",
"llama-cpp",
"gguf-my-repo"
],
"frontmatter": {
"license": "apache-2.0",
"license_name": "qwen",
"license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers",
"base_model": "huihui-ai/Huihui-InternVL3-8B-abliterated",
"base_model_relation": "finetune",
"language": [
"multilingual"
],
"tags": [
"internvl",
"custom_code",
"abliterated",
"uncensored",
"llama-cpp",
"gguf-my-repo"
]
},
"hero_image_url": "",
"summary": "The necessary multimodal projector for this model has been re-uploaded. The model did not use the F32 version, but does use the F16 version. # Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF This model was converted to GGUF format from huihui-ai/Huihui-InternVL3-8B-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: apache-2.0\nlicense_name: qwen\nlicense_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE\npipeline_tag: image-text-to-text\nlibrary_name: transformers\nbase_model: huihui-ai/Huihui-InternVL3-8B-abliterated\nbase_model_relation: finetune\nlanguage:\n- multilingual\ntags:\n- internvl\n- custom_code\n- abliterated\n- uncensored\n- llama-cpp\n- gguf-my-repo\n---\n\n# Update - Sunday, August 10th, 2025\nThe necessary multimodal projector for this model has been re-uploaded. The model did not use the F32 version, but does use the F16 version.\n\n# Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF\nThis model was converted to GGUF format from [`huihui-ai/Huihui-InternVL3-8B-abliterated`](https://huggingface.co/huihui-ai/Huihui-InternVL3-8B-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/huihui-ai/Huihui-InternVL3-8B-abliterated) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-8b-abliterated-q8_0.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-8b-abliterated-q8_0.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-8b-abliterated-q8_0.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo Koitenshin/Huihui-InternVL3-8B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-8b-abliterated-q8_0.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"internvl",
"custom_code",
"abliterated",
"uncensored",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 2,
"downloads": 191,
"gated": false,
"private": false,
"last_modified": "2025-08-10T10:38:46.000Z",
"created_at": "2025-08-01T07:46:52.000Z",
"pipeline_tag": "image-text-to-text",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "688c70ec8cf1f9926f92daeb",
"id": "Koitenshin/Huihui-InternVL3-8B-abliterated-GGUF",
"modelId": "Koitenshin/Huihui-InternVL3-8B-abliterated-GGUF",
"sha": "94733933f39940865ec5fc2e8e0af2f3d1c3b776",
"createdAt": "2025-08-01T07:46:52.000Z",
"lastModified": "2025-08-10T10:38:46.000Z",
"author": "Koitenshin",
"downloads": 191,
"likes": 2,
"gated": false,
"private": false,
"pipeline_tag": "image-text-to-text",
"library_name": "transformers",
"siblings_count": 15
}