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darthcrawl/Lilith-31B-v1.0-GGUF overview

<p align="center" <img src="lilith.png" width="480" alt="Lilith"/ </p Lilith 31B v1.0 GGUF Versatile uncensored roleplay / creative writing model on Gemma 4 31…

ggufroleplaycreative-writinggemmagemma4qlorauncensorednsfwnot-for-all-audiencesllama.cpptext-generationenbase_model:darthcrawl/Lilith-31B-v1.0base_model:quantized:darthcrawl/Lilith-31B-v1.0license:gemmaendpoints_compatibleregion:usimatrixconversational

Runs locally from ~13.43 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
497
Likes
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Pipeline
text-generation

Repository Files & Downloads

7 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Lilith-31B-v1.0.IQ3_M.ggufGGUFGGUF13.43 GBDownload
Lilith-31B-v1.0.IQ4_XS.ggufGGUFGGUF15.59 GBDownload
Lilith-31B-v1.0.Q3_K_M.ggufGGUFGGUF14.24 GBDownload
Lilith-31B-v1.0.Q4_K_M.ggufGGUFGGUF17.40 GBDownload
Lilith-31B-v1.0.Q5_K_M.ggufGGUFGGUF20.35 GBDownload
Lilith-31B-v1.0.Q6_K.ggufGGUFGGUF23.47 GBDownload
Lilith-31B-v1.0.Q8_0.ggufGGUFGGUF30.39 GBDownload

Model Details

Model IDdarthcrawl/Lilith-31B-v1.0-GGUF
Authordarthcrawl
Pipelinetext-generation
Licensegemma
Base modeldarthcrawl/Lilith-31B-v1.0
Last modified2026-07-26T05:02:33.000Z

Model README

---

language:

  • en

license: gemma

license_link: https://ai.google.dev/gemma/docs/gemma_4_license

library_name: gguf

pipeline_tag: text-generation

base_model:

  • darthcrawl/Lilith-31B-v1.0

base_model_relation: quantized

tags:

  • roleplay
  • creative-writing
  • gemma
  • gemma4
  • qlora
  • uncensored
  • nsfw
  • not-for-all-audiences
  • gguf
  • llama.cpp

---

<p align="center"><img src="lilith.png" width="480" alt="Lilith"/></p>

Lilith-31B-v1.0 (GGUF)

Versatile uncensored roleplay / creative-writing model on Gemma-4-31B. Drives any character card (SillyTavern / pluma), built to be lively and varied rather than flat or repetitive. darthcrawl. Explicit-capable.

  • Base: coder3101/gemma-4-31B-it-heretic (decensored Gemma-4-31B-it)
  • Method: QLoRA r32/alpha64 all-linear, loss masked to model turns, 1 epoch eval-driven. Release = the ~0.39-epoch checkpoint (eval 2.11 vs base 7.03), picked over the fully-trained one to keep prose lively (loss != liveliness).
  • Data: ~30M tokens, 8 curated sources (human forum RP, AO3, curated public RP, curated synth), ~40/60 NSFW/SFW.
  • Chat template: Gemma-4 (<|turn>user ... <turn|> / <|turn>model ...).
  • Sampling tip: DRY + XTC + modest repetition penalty for max variety.

Siblings: Lilith-31B-v1.0 (bf16) | -LoRA | -GGUF | -MLX-4bit/6bit/8bit

Quants

| File | Size | Notes |

|---|---|---|

| Q3_K_M | 15.3 GB | tight VRAM |

| Q4_K_M | 18.7 GB | balanced |

| Q5_K_M | 21.8 GB | |

| Q6_K | 25.2 GB | fits 32GB w/ --cache-type-k/v q8_0 |

| Q8_0 | 32.6 GB | near-lossless |

| IQ4_XS | 16.7 GB | imatrix, best quality-per-GB at 4-bit |

| IQ3_M | 14.4 GB | imatrix, tightest usable VRAM |

IQ quants use a register-calibrated imatrix (3MB of held-out corpus prose, imat_register.dat in this repo). Serve with llama.cpp --jinja.

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