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…
Runs locally from ~13.43 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Lilith-31B-v1.0.IQ3_M.gguf | GGUF | GGUF | 13.43 GB | Download |
| Lilith-31B-v1.0.IQ4_XS.gguf | GGUF | GGUF | 15.59 GB | Download |
| Lilith-31B-v1.0.Q3_K_M.gguf | GGUF | GGUF | 14.24 GB | Download |
| Lilith-31B-v1.0.Q4_K_M.gguf | GGUF | GGUF | 17.40 GB | Download |
| Lilith-31B-v1.0.Q5_K_M.gguf | GGUF | GGUF | 20.35 GB | Download |
| Lilith-31B-v1.0.Q6_K.gguf | GGUF | GGUF | 23.47 GB | Download |
| Lilith-31B-v1.0.Q8_0.gguf | GGUF | GGUF | 30.39 GB | Download |
Model Details
| Model ID | darthcrawl/Lilith-31B-v1.0-GGUF |
|---|---|
| Author | darthcrawl |
| Pipeline | text-generation |
| License | gemma |
| Base model | darthcrawl/Lilith-31B-v1.0 |
| Last modified | 2026-07-26T05:02:33.000Z |
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.
Run darthcrawl/Lilith-31B-v1.0-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models