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mradermacher/littlemonster-reasoning-12B-QKVO-heretic-HF-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…

transformersgguftext-generation-inferenceunslothgemma3hereticuncensoreddecensoredabliteratedlittlemonsterreasoningendataset:mfielding92/LittleMonsterdataset:mfielding92/gemini-3.1-pro-2048-reasoning-1100xdataset:mfielding92/LittleMonster-reasoningbase_model:mfielding92/littlemonster-reasoning-12B-QKVO-heretic-HFbase_model:quantized:mfielding92/littlemonster-reasoning-12B-QKVO-heretic-HFlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~4.44 GB disk (8 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
littlemonster-reasoning-12B-QKVO-heretic-HF.IQ4_XS.ggufGGUFGGUF6.15 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q2_K.ggufGGUFGGUF4.44 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q3_K_L.ggufGGUFGGUF6.04 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q3_K_M.ggufGGUFGGUF5.60 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q3_K_S.ggufGGUFGGUF5.08 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q4_K_M.ggufGGUFGGUF6.80 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q4_K_S.ggufGGUFGGUF6.46 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q5_K_M.ggufGGUFGGUF7.87 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q5_K_S.ggufGGUFGGUF7.67 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q6_K.ggufGGUFGGUF9.00 GBDownload
littlemonster-reasoning-12B-QKVO-heretic-HF.Q8_0.ggufGGUFGGUF11.65 GBDownload

Model Details

Model IDmradermacher/littlemonster-reasoning-12B-QKVO-heretic-HF-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelmfielding92/littlemonster-reasoning-12B-QKVO-heretic-HF
Last modified2026-06-22T21:21:18.000Z

Model README

---

base_model: mfielding92/littlemonster-reasoning-12B-QKVO-heretic-HF

datasets:

  • mfielding92/LittleMonster
  • mfielding92/gemini-3.1-pro-2048-reasoning-1100x
  • mfielding92/LittleMonster-reasoning

language:

  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • text-generation-inference
  • transformers
  • unsloth
  • gemma3
  • heretic
  • uncensored
  • decensored
  • abliterated
  • littlemonster
  • 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: 1 -->

static quants of https://huggingface.co/mfielding92/littlemonster-reasoning-12B-QKVO-heretic-HF

<!-- provided-files -->

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/littlemonster-reasoning-12B-QKVO-heretic-HF-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 | Q2_K | 4.9 | |

| GGUF | Q3_K_S | 5.6 | |

| GGUF | Q3_K_M | 6.1 | lower quality |

| GGUF | Q3_K_L | 6.6 | |

| GGUF | IQ4_XS | 6.7 | |

| GGUF | Q4_K_S | 7.0 | fast, recommended |

| GGUF | Q4_K_M | 7.4 | fast, recommended |

| GGUF | Q5_K_S | 8.3 | |

| GGUF | Q5_K_M | 8.5 | |

| GGUF | Q6_K | 9.8 | very good quality |

| GGUF | Q8_0 | 12.6 | 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.

<!-- end -->

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