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Model: aimeri/spoomples-qwen3-14b-v0.2
Source: Original Platform

README.md

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+---
+base_model: aimeri/spoomplesmaxx-base-qwen3-14b
+tags:
+- text-generation-inference
+- transformers
+- gguf
+- llama.cpp
+- unsloth
+- qwen3
+- roleplay
+- creative-writing
+- sft
+license: apache-2.0
+language:
+- en
+datasets:
+- aimeri/spoomplesmaxx-sft-small-olivia
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# SpoomplesMaxx — Qwen3 14B SFT
+
+A 14B language model built on Qwen3-14B through a multi-stage training pipeline: **Continued Pre-Training** (CPT) → **Supervised Fine-Tuning** (SFT). This is the SFT checkpoint. DPO alignment has not yet been applied.
+
+
+
+## What is this?
+
+SpoomplesMaxx is an experiment in training a persona-consistent model from scratch rather than fine-tuning an existing instruct model. The goal is full control over voice, format, and behavior by building up from a base model.
+
+The CPT stage ([spoomplesmaxx-base-qwen3-14b](https://huggingface.co/aimeri/spoomplesmaxx-base-qwen3-14b)) injected domain knowledge from character cards, literary prose, and specialized text. This SFT stage teaches instruction-following and conversation using a custom chat format.
+
+## Chat Format (DanChat)
+
+The model uses a custom token format:
+```
+<|system|>system prompt<|endoftext|>
+<|user|>user message<|endoftext|>
+<|assistant|>response<|endoftext|>
+```
+
+
+- `<|system|>` — System/roleplay instructions
+- `<|user|>` / `<|assistant|>` — Conversation turns
+- `<|endoftext|>` — Segment terminator
+
+## Training Data
+
+The SFT mix is a weighted blend of several categories:
+
+| Category | Focus | ~Weight |
+|----------|-------|---------|
+| Roleplay & Creative Writing | Character RP, adventure, scenario-based dialogue | 28% |
+| NSFW | Explicit roleplay and creative content | 22% |
+| Tasks & Instructions | Tool use, function calling, general assistant tasks | 17% |
+| Reasoning & Logic | Math, logic, theory of mind, physical reasoning | 16% |
+| Persona Voice | Olivia persona reinforcement | 12% |
+| Specialized Knowledge | Survival, operations, tactical scenarios | 5% |
+
+
+## Olivia
+
+The model includes training data transformed into the voice of **Olivia**, a reference persona: a 31-year-old Brazilian zoologist turned ML hobbyist. She's warm but direct, uses grounded analogies, and occasionally slips into Portuguese when frustrated.
+
+Olivia is a proof of concept for persona consistency — demonstrating that voice can be trained in rather than prompted for. You don't have to use the Olivia persona; the model responds to whatever system prompt you provide.
+
+## Intended Use
+
+- Roleplay and character-driven conversation
+- Creative and narrative writing
+- Reasoning and problem-solving tasks
+- Instruction following and tool use - but expect significant degradation when compared to models optimized for this task
+
+## Limitations
+
+- This is an SFT checkpoint without preference alignment (DPO). Outputs may not always match user expectations for tone or safety.
+- The model was trained with a specific data mix and custom format. Results with other chat templates may vary.
+- No formal benchmarks have been run. Evaluate on your own use cases.
+
+## Details
+
+- **Architecture**: Qwen3-14B (14B dense)
+- **Base model**: [aimeri/spoomplesmaxx-base-qwen3-14b](https://huggingface.co/aimeri/spoomplesmaxx-base-qwen3-14b) (CPT checkpoint)
+- **Context**: Up to 128K tokens (inherited from Qwen3 but trained on a max of 32K tokens)
+- **Developer**: [aimeri](https://huggingface.co/aimeri)