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mradermacher/ATLAS-OLMo-3-7B-Think-v4-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…

transformersggufatlasolmo3stigmergic-memoryactive-inferencepure-rustzero-dependenciesbf16thinking-modelreasoningenbase_model:openhubresearch/ATLAS-OLMo-3-7B-Think-v4base_model:quantized:openhubresearch/ATLAS-OLMo-3-7B-Think-v4license:apache-2.0endpoints_compatibleregion:us

Runs locally from ~2.66 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

12 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
ATLAS-OLMo-3-7B-Think-v4.IQ4_XS.ggufGGUFGGUF3.75 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q2_K.ggufGGUFGGUF2.66 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q3_K_L.ggufGGUFGGUF3.68 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q3_K_M.ggufGGUFGGUF3.40 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q3_K_S.ggufGGUFGGUF3.08 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q4_K_M.ggufGGUFGGUF4.16 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q4_K_S.ggufGGUFGGUF3.96 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q5_K_M.ggufGGUFGGUF4.85 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q5_K_S.ggufGGUFGGUF4.73 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q6_K.ggufGGUFGGUF5.58 GBDownload
ATLAS-OLMo-3-7B-Think-v4.Q8_0.ggufGGUFGGUF7.23 GBDownload
ATLAS-OLMo-3-7B-Think-v4.f16.ggufGGUFGGUF13.60 GBDownload

Model Details

Model IDmradermacher/ATLAS-OLMo-3-7B-Think-v4-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelopenhubresearch/ATLAS-OLMo-3-7B-Think-v4
Last modified2026-07-11T23:09:39.000Z

Model README

---

base_model: openhubresearch/ATLAS-OLMo-3-7B-Think-v4

language: en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • atlas
  • olmo3
  • stigmergic-memory
  • active-inference
  • pure-rust
  • zero-dependencies
  • bf16
  • thinking-model
  • reasoning

---

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/openhubresearch/ATLAS-OLMo-3-7B-Think-v4

<!-- 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 | 3.0 | |

| GGUF | Q3_K_S | 3.4 | |

| GGUF | Q3_K_M | 3.8 | lower quality |

| GGUF | Q3_K_L | 4.1 | |

| GGUF | IQ4_XS | 4.1 | |

| GGUF | Q4_K_S | 4.3 | fast, recommended |

| GGUF | Q4_K_M | 4.6 | fast, recommended |

| GGUF | Q5_K_S | 5.2 | |

| GGUF | Q5_K_M | 5.3 | |

| GGUF | Q6_K | 6.1 | very good quality |

| GGUF | Q8_0 | 7.9 | fast, best quality |

| GGUF | f16 | 14.7 | 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.

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