ReMM SLERP 13B
VerifiedReMM SLERP 13B offers reliable text generation within a 6144-token context.
About ReMM SLERP 13B
ReMM SLERP 13B combines multiple model components through spherical linear interpolation to reach its 13B scale. Developed by Undi95, the model remains closed-weight and processes inputs solely in text format. Its architecture prioritizes stable performance across extended sequences up to 6144 tokens.
The design emphasizes coherence in longer contexts compared with smaller-window alternatives. Strengths include consistent output quality for narrative and instructional text without requiring users to host weights locally. Typical applications involve content drafting, dialogue simulation, and document analysis.
Users integrate the model via hosted APIs for production workflows. It suits scenarios needing reliable text handling where open-weight alternatives are unavailable or unsuitable.
Capabilities
How ReMM SLERP 13B compares
ReMM SLERP 13B (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · ReMM SLERP 13B ranks #60 of 141
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Immersive Role-Playing Sessions
The model handles extended character interactions and dialogue turns effectively thanks to its role-playing and conversational strengths within the 6144-token context.
Story and Script Development
It supports iterative creative writing tasks such as world-building and narrative continuation through its text generation and creative writing capabilities.
Guided Instruction Tasks
Users can rely on it for step-by-step instruction following combined with basic reasoning to produce structured text outputs in conversational settings.
Strengths & limitations
Strengths
- +Efficient on modest hardware
- +Strong narrative and creative coherence
- +Responsive to merged fine-tuning styles
Limitations
- –Limited 6k context window
- –Weaker complex multi-step reasoning
- –Text-only with no multimodality
Cost calculator
Estimate what ReMM SLERP 13B would cost for your usage.
Based on ReMM SLERP 13B's $0.45/1M input · $0.65/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "undi95/remm-slerp-l2-13b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: undi95/remm-slerp-l2-13b
Editor's verdict
ReMM SLERP 13B is Undi95's proprietary language models with a 6K-token context window.
At $0.65 per 1M output tokens, it is very cost-efficient for its class.
It is available through Undi95's API and aggregators like OpenRouter.
Best suited to efficient on modest hardware and strong narrative and creative coherence.
Frequently asked questions
The model provides a context window of 6144 tokens.
User reviews
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