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mradermacher/Meditron3-Phi4-14B-i1-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: nicoboss weighted/imatrix quants of https://huggingface.co/EP…

transformersggufenbase_model:EPFLiGHT/Meditron3-Phi4-14Bbase_model:quantized:EPFLiGHT/Meditron3-Phi4-14Blicense:mitendpoints_compatibleregion:usimatrixconversational

Runs locally from ~3.09 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

24 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Meditron3-Phi4-14B.i1-IQ1_M.ggufGGUFIQ1_M3.35 GBDownload
Meditron3-Phi4-14B.i1-IQ1_S.ggufGGUFIQ1_S3.09 GBDownload
Meditron3-Phi4-14B.i1-IQ2_M.ggufGGUFIQ2_M4.76 GBDownload
Meditron3-Phi4-14B.i1-IQ2_S.ggufGGUFIQ2_S4.41 GBDownload
Meditron3-Phi4-14B.i1-IQ2_XS.ggufGGUFIQ2_XS4.18 GBDownload
Meditron3-Phi4-14B.i1-IQ2_XXS.ggufGGUFIQ2_XXS3.79 GBDownload
Meditron3-Phi4-14B.i1-IQ3_M.ggufGGUFIQ3_M6.44 GBDownload
Meditron3-Phi4-14B.i1-IQ3_S.ggufGGUFIQ3_S6.06 GBDownload
Meditron3-Phi4-14B.i1-IQ3_XS.ggufGGUFIQ3_XS5.82 GBDownload
Meditron3-Phi4-14B.i1-IQ3_XXS.ggufGGUFIQ3_XXS5.45 GBDownload
Meditron3-Phi4-14B.i1-IQ4_NL.ggufGGUFIQ4_NL7.81 GBDownload
Meditron3-Phi4-14B.i1-IQ4_XS.ggufGGUFIQ4_XS7.40 GBDownload
Meditron3-Phi4-14B.i1-Q2_K.ggufGGUFQ2_K5.17 GBDownload
Meditron3-Phi4-14B.i1-Q2_K_S.ggufGGUFQ2_K_S4.82 GBDownload
Meditron3-Phi4-14B.i1-Q3_K_L.ggufGGUFQ3_K_L7.39 GBDownload
Meditron3-Phi4-14B.i1-Q3_K_M.ggufGGUFQ3_K_M6.86 GBDownload
Meditron3-Phi4-14B.i1-Q3_K_S.ggufGGUFQ3_K_S6.06 GBDownload
Meditron3-Phi4-14B.i1-Q4_0.ggufGGUFQ4_07.83 GBDownload
Meditron3-Phi4-14B.i1-Q4_1.ggufGGUFQ4_18.63 GBDownload
Meditron3-Phi4-14B.i1-Q4_K_M.ggufGGUFQ4_K_M8.43 GBDownload
Meditron3-Phi4-14B.i1-Q4_K_S.ggufGGUFQ4_K_S7.86 GBDownload
Meditron3-Phi4-14B.i1-Q5_K_M.ggufGGUFQ5_K_M9.88 GBDownload
Meditron3-Phi4-14B.i1-Q5_K_S.ggufGGUFQ5_K_S9.45 GBDownload
Meditron3-Phi4-14B.i1-Q6_K.ggufGGUFQ6_K11.20 GBDownload

Model Details

Model IDmradermacher/Meditron3-Phi4-14B-i1-GGUF
Authormradermacher
Pipeline
Licensemit
Base modelEPFLiGHT/Meditron3-Phi4-14B
Last modified2026-07-30T01:40:36.000Z

Model README

---

base_model: EPFLiGHT/Meditron3-Phi4-14B

language:

  • en

library_name: transformers

license: mit

mradermacher:

readme_rev: 1

quantized_by: mradermacher

---

About

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

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

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

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

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

weighted/imatrix quants of https://huggingface.co/EPFLiGHT/Meditron3-Phi4-14B

<!-- provided-files -->

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

static quants are available at https://huggingface.co/mradermacher/Meditron3-Phi4-14B-GGUF

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 | i1-IQ1_S | 3.4 | for the desperate |

| GGUF | i1-IQ1_M | 3.7 | mostly desperate |

| GGUF | i1-IQ2_XXS | 4.2 | |

| GGUF | i1-IQ2_XS | 4.6 | |

| GGUF | i1-IQ2_S | 4.8 | |

| GGUF | i1-IQ2_M | 5.2 | |

| GGUF | i1-Q2_K_S | 5.3 | very low quality |

| GGUF | i1-Q2_K | 5.6 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 5.9 | lower quality |

| GGUF | i1-IQ3_XS | 6.3 | |

| GGUF | i1-IQ3_S | 6.6 | beats Q3_K* |

| GGUF | i1-Q3_K_S | 6.6 | IQ3_XS probably better |

| GGUF | i1-IQ3_M | 7.0 | |

| GGUF | i1-Q3_K_M | 7.5 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 8.0 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 8.0 | |

| GGUF | i1-IQ4_NL | 8.5 | prefer IQ4_XS |

| GGUF | i1-Q4_0 | 8.5 | fast, low quality |

| GGUF | i1-Q4_K_S | 8.5 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 9.2 | fast, recommended |

| GGUF | i1-Q4_1 | 9.4 | |

| GGUF | i1-Q5_K_S | 10.3 | |

| GGUF | i1-Q5_K_M | 10.7 | |

| GGUF | i1-Q6_K | 12.1 | practically like static Q6_K |

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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