remm-slerp-l2-13b
ReMM SLERP 13B from Undi95 is a merge that recreates the original MythoMax-L2-13B with updated models.
Precio: Entrada: 72 créditos / 1 M de tokens (≈ $0.36); salida: 120 créditos / 1 M de tokens (≈ $0.60).
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ReMM SLERP 13B API on ModelFold
ReMM SLERP 13B from Undi95 is a merge that recreates the original MythoMax-L2-13B with updated models. Try ReMM SLERP 13B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the ReMM SLERP 13B API
ReMM SLERP 13B at a glance
ReMM SLERP 13B is a chat model from Undi95. It accepts text as input and returns text, with a context window of up to 6K tokens.
Use it without hosting anything
On ModelFold you call ReMM SLERP 13B with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of ReMM SLERP 13B
Up to 6K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use ReMM SLERP 13B on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how ReMM SLERP 13B responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "remm-slerp-l2-13b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with ReMM SLERP 13B
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Frequently Asked Questions
What is ReMM SLERP 13B?⌄
ReMM SLERP 13B from Undi95 is a merge that recreates the original MythoMax-L2-13B with updated models.
Which inputs does ReMM SLERP 13B support?⌄
ReMM SLERP 13B accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of ReMM SLERP 13B?⌄
Up to 6K tokens, shared between your input and the model’s output.
Does ReMM SLERP 13B support function calling?⌄
Function calling is not listed for ReMM SLERP 13B; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is ReMM SLERP 13B billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call ReMM SLERP 13B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "remm-slerp-l2-13b", using your ModelFold API key as the Bearer token.
| Entrada | 72 créditos 1M tokens≈ $0.36 |
| Salida | 120 créditos 1M tokens≈ $0.60 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"remm-slerp-l2-13b","messages":[{"role":"user","content":"Hello"}]}'