Model Intelligence Sheet
vegeta03/gemma-4-31b-claude-4.6-opus-thinking-distilled-s7-multimodal-q8_0-gguf overview
This model was converted to GGUF format from shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
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103
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0
Pipeline
image-text-to-text
Library
transformers
Visibility
Public
Access
Open
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-4-31b-claude-4.6-opus-thinking-distilled-s7-multimodal-q8_0.gguf | GGUF | — | 30.39 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"license": "mit",
"base_model": "shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal",
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"license": "mit",
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"summary": "This model was converted to GGUF format from shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
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"readme_markdown": "---\nlicense: mit\nbase_model: shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal\nlibrary_name: transformers\ntags:\n- gemma4\n- gemma\n- reasoning\n- claude-opus\n- distillation\n- full-finetune\n- llm\n- mlm\n- multimodal\n- video\n- text\n- audio\n- vision\n- llama-cpp\n- gguf-my-repo\nlanguage:\n- en\npipeline_tag: image-text-to-text\nmodel_name: gemma-4-31B-Claude-4.6-Opus-thinking-distilled-s7\nparameter_count: 30700000000\n---\n\n# vegeta03/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal-Q8_0-GGUF\nThis model was converted to GGUF format from [`shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal`](https://huggingface.co/shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal) 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/shreyan35/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal) 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 vegeta03/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal-Q8_0-GGUF --hf-file gemma-4-31b-claude-4.6-opus-thinking-distilled-s7-multimodal-q8_0.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo vegeta03/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal-Q8_0-GGUF --hf-file gemma-4-31b-claude-4.6-opus-thinking-distilled-s7-multimodal-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 vegeta03/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal-Q8_0-GGUF --hf-file gemma-4-31b-claude-4.6-opus-thinking-distilled-s7-multimodal-q8_0.gguf -p \"The meaning to life and the universe is\"\n```\nor\n```\n./llama-server --hf-repo vegeta03/gemma-4-31B-claude-4.6-opus-thinking-distilled-s7-multimodal-Q8_0-GGUF --hf-file gemma-4-31b-claude-4.6-opus-thinking-distilled-s7-multimodal-q8_0.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"gemma4",
"gemma",
"reasoning",
"claude-opus",
"distillation",
"full-finetune",
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"audio",
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"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
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"license:mit",
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"likes": 0,
"downloads": 103,
"gated": false,
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"last_modified": "2026-04-11T20:09:35.000Z",
"created_at": "2026-04-11T20:08:30.000Z",
"pipeline_tag": "image-text-to-text",
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Source payload excerpt (from Hugging Face API)
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