ReMM SLERP L2 13B is Undi95's "Re:MythoMax" merge, a 13-billion-parameter Llama 2 model that rebuilds the MythoMax recipe using newer components. It combines a ReML base with Huginn v1.2 through spherical linear interpolation, blending the two parent models across the tensor space rather than stacking fine-tunes. The merge targets the same ground as MythoMax: character-driven roleplay, creative storytelling, and dialogue that keeps a consistent voice over longer exchanges. Later ReMM revisions swap in different components for the ReML half, but the SLERP build remains the closest analogue to the original. It runs on the Llama 2 generation, so the context window is short by current standards and reasoning is limited next to modern 13B models. Reach for it when the specific MythoMax-lineage writing style is what you want, and use a newer model when the workload needs long context or tool use.
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ReMM SLERP L2 13B runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output | Cache read |
|---|---|---|---|---|---|---|
| EU | No | $0.45 | $0.65 | Input price |
Each route hosting ReMM SLERP L2 13B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Content is retained: provider logging, 90-day retention. No training on customer data. EU; SCCs; DPA available.
Call ReMM SLERP L2 13B through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.
ReMM SLERP L2 13B is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "nextbit/remm-slerp:l2-13b",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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