SpoomplesMaxx Base is a
continued pre-training (CPT)
run on top of
unsloth/gemma-3-27b-pt
, targeting improved
creative writing, character voice, narrative prose, and multilingual fluency in English and
Brazilian Portuguese.
This is the
final release checkpoint
of the CPT stage. It is a
base model
— not
instruction-tuned. Downstream SFT and DPO stages are planned.
Part of the
SpoomplesMaxx
project — a hobbyist ML research effort
focused on creative writing and roleplay capability in open base models.
LoRA on text layers only (vision components frozen)
Languages
English (
en
), Brazilian Portuguese (
pt
)
Why Gemma 3 27B?
After earlier CPT runs on GLM-4-32B, Qwen3-14B, and SmolLM3 — which surfaced issues with
repetition and inconsistent cultural knowledge absorption — Gemma 3 27B PT was selected for
its strong out-of-the-box creative writing quality and multilingual coverage.
Uses
Direct Use
This model is suitable for:
Creative writing and prose generation
Character roleplay and collaborative fiction
Multilingual text generation (EN/PT)
Base for downstream SFT/DPO fine-tuning
As a
base model
, it does not follow instructions and has no chat template. Use it with a
completion interface or apply your own prompt structure.
Downstream Use
The intended pipeline is:
CPT (this model) → SFT → DPO
SFT and DPO stages are under active development and will be released separately.
Out-of-Scope Use
Drop-in replacement for instruction-following or chat models — no system prompt, no chat
template
Production deployment without further alignment
Tasks requiring factual grounding or safety constraints — this is an uncensored creative base
Training Details
Training Data
The training corpus combines two sources, concatenated and shuffled (seed
1985
) before a
99.8/0.2% train/eval split:
Source
Rows
Description
aimeri/spoomplesmaxx-cpt-raw-small
91,657
Broad creative writing and prose CPT corpus
characters_small.jsonl
10,000
Curated character-focused entries
Total
101,657
Tokenization appends EOS at document boundaries. Documents are then concatenated and chunked
into fixed-length sequences of
16,384 tokens
, with the trailing remainder dropped. This
yields the final packed training sequences.
Evaluation
No formal benchmarks have been run on this model. Evaluation is currently qualitative —
creative writing samples, prose coherence, and character voice consistency across English and
Portuguese.
If you run benchmarks on this model, please open a discussion — contributions welcome.
Project History
SpoomplesMaxx has gone through several base model iterations:
Runs of aimeri spoomplesmaxx-base-gemma3-27b on huggingface.co
33
Total runs
1
24-hour runs
3
3-day runs
2
7-day runs
6
30-day runs
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