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mradermacher/deepseek-r1-distill-llama-8b-abliterated-i1-gguf IQ2_S 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

mradermacher/deepseek-r1-distill-llama-8b-abliterated-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-GGUF

transformersggufenbase_model:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliteratedbase_model:quantized:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliteratedendpoints_compatibleregion:usimatrixconversational
mradermacher/deepseek-r1-distill-llama-8b-abliterated-i1-gguf visual
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715
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6
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

48 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ1_M.gguf GGUF IQ1_M 2.01 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ1_S.gguf GGUF IQ1_S 1.88 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_M.gguf GGUF IQ2_M 2.75 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_S.gguf GGUF IQ2_S 2.57 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_XS.gguf GGUF IQ2_XS 2.43 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_XXS.gguf GGUF IQ2_XXS 2.23 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_M.gguf GGUF IQ3_M 3.52 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_S.gguf GGUF IQ3_S 3.43 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_XS.gguf GGUF IQ3_XS 3.28 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_XXS.gguf GGUF IQ3_XXS 3.05 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ4_NL.gguf GGUF IQ4_NL 4.36 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ4_XS.gguf GGUF IQ4_XS 4.14 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q2_K.gguf GGUF Q2_K 2.96 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q2_K_S.gguf GGUF Q2_K_S 2.78 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_L.gguf GGUF Q3_K_L 4.03 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_M.gguf GGUF Q3_K_M 3.74 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_S.gguf GGUF Q3_K_S 3.41 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_0.gguf GGUF 4.35 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_1.gguf GGUF 4.78 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_K_M.gguf GGUF Q4_K_M 4.58 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_K_S.gguf GGUF Q4_K_S 4.37 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q5_K_M.gguf GGUF Q5_K_M 5.34 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q5_K_S.gguf GGUF Q5_K_S 5.21 GB Download
DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q6_K.gguf GGUF Q6_K 6.14 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ1_M.gguf GGUF IQ1_M 2.01 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ1_S.gguf GGUF IQ1_S 1.88 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_M.gguf GGUF IQ2_M 2.75 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_S.gguf GGUF IQ2_S 2.57 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_XS.gguf GGUF IQ2_XS 2.43 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_XXS.gguf GGUF IQ2_XXS 2.23 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_M.gguf GGUF IQ3_M 3.52 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_S.gguf GGUF IQ3_S 3.43 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_XS.gguf GGUF IQ3_XS 3.28 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_XXS.gguf GGUF IQ3_XXS 3.05 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ4_NL.gguf GGUF IQ4_NL 4.36 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ4_XS.gguf GGUF IQ4_XS 4.14 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q2_K.gguf GGUF Q2_K 2.96 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q2_K_S.gguf GGUF Q2_K_S 2.78 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_L.gguf GGUF Q3_K_L 4.03 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_M.gguf GGUF Q3_K_M 3.74 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_S.gguf GGUF Q3_K_S 3.41 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_0.gguf GGUF 4.35 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_1.gguf GGUF 4.78 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_K_M.gguf GGUF Q4_K_M 4.58 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_K_S.gguf GGUF Q4_K_S 4.37 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q5_K_M.gguf GGUF Q5_K_M 5.34 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q5_K_S.gguf GGUF Q5_K_S 5.21 GB Download
DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q6_K.gguf GGUF Q6_K 6.14 GB Download

Model Details Live

Model Slug
mradermacher/deepseek-r1-distill-llama-8b-abliterated-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-01-21
Last Modified
2025-04-06
Gated
No
Private
No
HF SHA
5e269c3fe39945efd00b21c6bae1613efee50e39
License
Unknown
Language
en
Base Model
stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated  static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated\nlanguage:\n- en\nlibrary_name: transformers\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ1_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 4.1 | for the desperate |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ1_M.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 4.4 | mostly desperate |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_XXS.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.9 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_XS.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 5.3 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_S.gguf) | i1-IQ2_S | 5.6 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ2_M.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ2_M.gguf) | i1-IQ2_M | 6.0 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q2_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 6.1 | very low quality |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q2_K.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 6.5 | IQ3_XXS probably better |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_XXS.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 6.6 | lower quality |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_XS.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_XS.gguf) | i1-IQ3_XS | 7.1 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 7.4 | IQ3_XS probably better |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_S.gguf) | i1-IQ3_S | 7.5 | beats Q3_K* |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ3_M.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 7.7 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 8.1 | IQ3_S probably better |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q3_K_L.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 8.7 | IQ3_M probably better |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ4_XS.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 9.0 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_0.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_0.gguf) | i1-Q4_0 | 9.5 | fast, low quality |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-IQ4_NL.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-IQ4_NL.gguf) | i1-IQ4_NL | 9.5 | prefer IQ4_XS |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 9.5 | optimal size/speed/quality |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 9.9 | fast, recommended |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q4_1.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q4_1.gguf) | i1-Q4_1 | 10.4 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q5_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 11.3 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q5_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q5_K_M.gguf) | i1-Q5_K_M | 11.6 |  |\n| [PART 1](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-Abliterated.i1-Q6_K.gguf) [PART 2](https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF/resolve/main/DeepSeek-R1-Distill-Llama-8B-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 13.3 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
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    "base_model:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated",
    "base_model:quantized:stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
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Source payload excerpt (from Hugging Face API)
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