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Model details
Mag Mell R1
Mag Mell R1 is a 12-billion parameter language model built primarily on the Mistral-Nemo architecture, assembled through a multi-stage merge of several pre-trained base models using the mergekit toolkit with DARE-TIES recombination. Rather than being trained from scratch, it weaves together specialized contributions labeled in community descriptions as "Hero" roleplay, "Monk" grounded reasoning, and "Deity" prose and flair specialists, then layers them into a base model. This model-merging lineage gives it the conversational DNA of Mistral-Nemo while letting each constituent expert color its style. Recommended inference uses ChatML formatting, which aligns with its underlying Mistral-Nemo-Base chatml foundation and keeps prompts behaving consistently across tools that support that template.
In practice the model is positioned for imaginative, narrative-driven workloads. Source descriptions highlight strong worldbuilding capabilities, expressive prose generation, and confident handling of fictional scenarios, making it a natural fit for roleplay, interactive fiction, and other creative writing tasks where stylistic range matters more than strict factual recall. Because it inherits Mistral-Nemo's tokenizer and conversational scaffolding, it should slot into existing chat pipelines that already support that family. The broader Mag Mell lineage also includes derivative variants, signaling an active community of refinements around the same base recipe, so users experimenting with creative or roleplay applications have room to compare stylistic flavors without leaving the underlying architecture.
Quick Info
Powered by- Provider
- NanoGPT
- Model key
- inflatebot/MN-12B-Mag-Mell-R1
- Release date
- Jan 1, 2024
- Last updated
- Jul 1, 2024
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.493
- Output token cost
- $0.493
Limits
- Input tokens
- 16,384 tokens
- Output tokens
- 8,192 tokens
- Context window
- 16,384 tokens
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