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mradermacher/Nous-Hermes-2-Yi-34B-pruned50-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/RedHatAI/Nous Hermes …

transformersggufnm-vllmsparseenbase_model:RedHatAI/Nous-Hermes-2-Yi-34B-pruned50base_model:quantized:RedHatAI/Nous-Hermes-2-Yi-34B-pruned50endpoints_compatibleregion:usconversational

Runs locally from ~11.94 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Nous-Hermes-2-Yi-34B-pruned50.IQ4_XS.ggufGGUFGGUF17.36 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q2_K.ggufGGUFGGUF11.94 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q3_K_L.ggufGGUFGGUF16.89 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q3_K_M.ggufGGUFGGUF15.51 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q3_K_S.ggufGGUFGGUF13.93 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q4_K_M.ggufGGUFGGUF19.24 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q4_K_S.ggufGGUFGGUF18.25 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q5_K_M.ggufGGUFGGUF22.65 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q5_K_S.ggufGGUFGGUF22.08 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q6_K.ggufGGUFGGUF26.28 GBDownload
Nous-Hermes-2-Yi-34B-pruned50.Q8_0.ggufGGUFGGUF34.03 GBDownload

Model Details

Model IDmradermacher/Nous-Hermes-2-Yi-34B-pruned50-GGUF
Authormradermacher
Pipeline—
License—
Base modelRedHatAI/Nous-Hermes-2-Yi-34B-pruned50
Last modified2026-10-17T01:01:57.000Z

Model README

---

base_model: RedHatAI/Nous-Hermes-2-Yi-34B-pruned50

language:

  • en

library_name: transformers

model_type: llama

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • nm-vllm
  • sparse

---

About

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

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

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

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

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

static quants of https://huggingface.co/RedHatAI/Nous-Hermes-2-Yi-34B-pruned50

<!-- 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 | 12.9 | |

| GGUF | Q3_K_S | 15.1 | |

| GGUF | Q3_K_M | 16.8 | lower quality |

| GGUF | Q3_K_L | 18.2 | |

| GGUF | IQ4_XS | 18.7 | |

| GGUF | Q4_K_S | 19.7 | fast, recommended |

| GGUF | Q4_K_M | 20.8 | fast, recommended |

| GGUF | Q5_K_S | 23.8 | |

| GGUF | Q5_K_M | 24.4 | |

| GGUF | Q6_K | 28.3 | very good quality |

| GGUF | Q8_0 | 36.6 | fast, best quality |

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. Additional thanks to @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.

<!-- end -->

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