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ReMM SLERP 13B

undi95/remm-slerp-l2-13b

A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge

Context
6K
Input MA / 1M
0.27
Output MA / 1M
0.39

Billing follows the provider's own reported cost rather than the catalogue price — cached input is cheaper, and reasoning tokens bill as output. Your usage page is the record of what you actually paid.

Capabilities

ChatStructured

Try it

One free message per account, no deposit needed. The reply is length-capped — it's a taste, not a quota.

Connect a wallet and sign in to use your free try.

Connect a wallet

Call it

Every model goes through the same endpoint — just use this page's ID as model.

curl https://macdecloud.com/v1/chat/completions \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"undi95/remm-slerp-l2-13b","messages":[{"role":"user","content":"Hello"}]}'

Streaming

Add "stream": true for token-by-token output over standard SSE.

curl -N https://macdecloud.com/v1/chat/completions \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"undi95/remm-slerp-l2-13b","stream":true,"messages":[{"role":"user","content":"hi"}]}'

Structured output

Supports response_format, so the model returns JSON matching a schema you give it instead of prose you have to parse.

{
  "model": "undi95/remm-slerp-l2-13b",
  "messages": [{ "role": "user", "content": "..." }],
  "response_format": {
    "type": "json_schema",
    "json_schema": {
      "name": "result",
      "schema": {
        "type": "object",
        "properties": { "answer": { "type": "string" } },
        "required": ["answer"]
      }
    }
  }
}
Use it from Claude Code / Cursor / opencode →