mradermacher/gemma4-e2b-it-regulatory-obligation-v1-GGUF overview

---

base_model: PrinceRansom7/gemma4-e2b-it-regulatory-obligation-v1

language:

• en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• gemma
• gemma4
• legal-nlp
• compliance
• regulation
• regulatory
• obligation-extraction
• information-extraction
• instruction-tuning
• qlora
• unsloth
• peft
• transformers
• json
• grc
• legal-ai
• governance

---

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/PrinceRansom7/gemma4-e2b-it-regulatory-obligation-v1

<!-- 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 | mmproj-Q8_0 | 0.7 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.1 | multi-modal supplement |

| GGUF | Q2_K | 3.1 | |

| GGUF | Q3_K_S | 3.2 | |

| GGUF | Q3_K_M | 3.3 | lower quality |

| GGUF | Q3_K_L | 3.4 | |

| GGUF | IQ4_XS | 3.4 | |

| GGUF | Q4_K_S | 3.5 | fast, recommended |

| GGUF | Q4_K_M | 3.5 | fast, recommended |

| GGUF | Q5_K_S | 3.7 | |

| GGUF | Q5_K_M | 3.7 | |

| GGUF | Q6_K | 3.9 | very good quality |

| GGUF | Q8_0 | 5.1 | fast, best quality |

| GGUF | f16 | 9.4 | 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 -->