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OpenKey

ReMM SLERP 13B

Undi95Released Jul 22, 2023

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

Try in playground
Context window
6K tokens
Max output
4K tokens
Input
text
Output
text
Tokenizer
Llama2
Knowledge cutoff
Jun 30, 2023
Released
Jul 22, 2023

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.450$0.013$0.464
Output$0.650$0.019$0.670

Supported parameters

  • frequency_penalty
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • top_a
  • top_k
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model undi95/remm-slerp-l2-13b.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "undi95/remm-slerp-l2-13b",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="undi95/remm-slerp-l2-13b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_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);

Questions

How much does ReMM SLERP 13B cost via API?
Through OpenKey, ReMM SLERP 13B costs $0.464 per 1M input tokens and $0.670 per 1M output tokens. That is the provider price ($0.450 / $0.650) plus a flat 3% fee — nothing else.
What is ReMM SLERP 13B's context window?
ReMM SLERP 13B accepts up to 6K tokens of context and returns up to 4K tokens per request.
Is ReMM SLERP 13B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "undi95/remm-slerp-l2-13b" using any OpenAI SDK — only the base URL and API key change.
What inputs does ReMM SLERP 13B support?
ReMM SLERP 13B accepts text input and produces text output. Its knowledge cutoff is Jun 30, 2023.