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mradermacher/DeepSeek-R1-Distill-Llama-8B-Hermes-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: x f16 Q4 K S Q2 K Q8 0 Q6 K Q3 K M Q3 K S Q3 K L Q4…

transformersggufendataset:NousResearch/Hermes-3-Datasetbase_model:FredyRivera-dev/DeepSeek-R1-Distill-Llama-8B-Hermesbase_model:quantized:FredyRivera-dev/DeepSeek-R1-Distill-Llama-8B-Hermeslicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~2.96 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Repository Files & Downloads

12 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
DeepSeek-R1-Distill-Llama-8B-Hermes.IQ4_XS.ggufGGUFGGUF4.18 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q2_K.ggufGGUFGGUF2.96 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q3_K_L.ggufGGUFGGUF4.03 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q3_K_M.ggufGGUFGGUF3.74 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q3_K_S.ggufGGUFGGUF3.41 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q4_K_M.ggufGGUFGGUF4.58 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q4_K_S.ggufGGUFGGUF4.37 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q5_K_M.ggufGGUFGGUF5.34 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q5_K_S.ggufGGUFGGUF5.21 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q6_K.ggufGGUFGGUF6.14 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.Q8_0.ggufGGUFGGUF7.95 GBDownload
DeepSeek-R1-Distill-Llama-8B-Hermes.f16.ggufGGUFGGUF14.97 GBDownload

Model Details

Model IDmradermacher/DeepSeek-R1-Distill-Llama-8B-Hermes-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelFredyRivera-dev/DeepSeek-R1-Distill-Llama-8B-Hermes
Last modified2026-07-12T09:09:33.000Z

Model README

---

base_model: FredyRivera-dev/DeepSeek-R1-Distill-Llama-8B-Hermes

datasets:

  • NousResearch/Hermes-3-Dataset

language:

  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

---

About

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: -->

<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->

<!-- ### quants_skip: -->

<!-- ### skip_mmproj: -->

static quants of https://huggingface.co/FredyRivera-dev/DeepSeek-R1-Distill-Llama-8B-Hermes

<!-- provided-files -->

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | Q2_K | 3.3 | |

| GGUF | Q3_K_S | 3.8 | |

| GGUF | Q3_K_M | 4.1 | lower quality |

| GGUF | Q3_K_L | 4.4 | |

| GGUF | IQ4_XS | 4.6 | |

| GGUF | Q4_K_S | 4.8 | fast, recommended |

| GGUF | Q4_K_M | 5.0 | fast, recommended |

| GGUF | Q5_K_S | 5.7 | |

| GGUF | Q5_K_M | 5.8 | |

| GGUF | Q6_K | 6.7 | very good quality |

| GGUF | Q8_0 | 8.6 | fast, best quality |

| GGUF | f16 | 16.2 | 16 bpw, overkill |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.

<!-- end -->

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