mradermacher/gemma-4-31B-it-Guardpoint-GGUF overview

---

base_model: ValiantLabs/gemma-4-31B-it-Guardpoint

datasets:

• sequelbox/Superpotion-DeepSeek-V3.2-Speciale

language:

• en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• guardpoint
• valiant
• valiant-labs
• gemma
• gemma-4
• gemma-4-31B-it
• reasoning
• science
• science-reasoning
• medicine
• internal-medicine
• clinical-diagnosis
• medical-understanding
• medical-reasoning
• medical-diagnosis
• medical-management
• problem-solving
• anatomy
• angiology
• bariatric
• cardiovascular
• dental
• dermatology
• endocrinology
• ENT
• hematology
• immunology
• infectious-disease
• musculoskeletal
• neurology
• obstetrics
• ophtamology
• oncology
• orthopedics
• pathology
• psychiatry
• pulmonology
• radiology
• surgery
• triage
• urology
• analytical
• data
• data-interpretation
• expert
• rationality
• conversational
• chat
• instruct

---

About

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static quants of https://huggingface.co/ValiantLabs/gemma-4-31B-it-Guardpoint

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-31B-it-Guardpoint-i1-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 | mmproj-Q8_0 | 0.9 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.3 | multi-modal supplement |

| GGUF | Q2_K | 12.0 | |

| GGUF | Q3_K_S | 13.9 | |

| GGUF | Q3_K_M | 15.4 | lower quality |

| GGUF | Q3_K_L | 16.7 | |

| GGUF | IQ4_XS | 17.0 | |

| GGUF | Q4_K_S | 17.9 | fast, recommended |

| GGUF | Q4_K_M | 18.8 | fast, recommended |

| GGUF | Q5_K_S | 21.4 | |

| GGUF | Q5_K_M | 21.9 | |

| GGUF | Q6_K | 25.3 | very good quality |

| GGUF | Q8_0 | 32.7 | 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.

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