Model Intelligence Sheet
rottenorchid/deepseek-r1-distill-llama-8b-abliterated-q4_k_m-gguf overview
This model was converted to GGUF format from huihui-ai/DeepSeek-R1-Distill-Llama-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.
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transformers
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| deepseek-r1-distill-llama-8b-abliterated-q4_k_m.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
Model Details Live
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Normalized metadata (stored in metadata_json)
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"card_data": {
"base_model": "huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated",
"library_name": "transformers",
"tags": [
"abliterated",
"uncensored",
"llama-cpp",
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"frontmatter": {
"base_model": "huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated",
"library_name": "transformers",
"tags": [
"abliterated",
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"summary": "This model was converted to GGUF format from huihui-ai/DeepSeek-R1-Distill-Llama-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.",
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"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated\nlibrary_name: transformers\ntags:\n- abliterated\n- uncensored\n- llama-cpp\n- gguf-my-repo\n---\n\n# rottenorchid/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated`](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Llama-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/DeepSeek-R1-Distill-Llama-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 rottenorchid/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4_K_M-GGUF --hf-file deepseek-r1-distill-llama-8b-abliterated-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo rottenorchid/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4_K_M-GGUF --hf-file deepseek-r1-distill-llama-8b-abliterated-q4_k_m.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 rottenorchid/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4_K_M-GGUF --hf-file deepseek-r1-distill-llama-8b-abliterated-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo rottenorchid/DeepSeek-R1-Distill-Llama-8B-abliterated-Q4_K_M-GGUF --hf-file deepseek-r1-distill-llama-8b-abliterated-q4_k_m.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
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"last_modified": "2026-03-09T00:37:07.000Z",
"created_at": "2026-03-09T00:36:41.000Z",
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Source payload excerpt (from Hugging Face API)
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