ReMM SLERP 13B
Undi95Released Jul 22, 2023
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
- 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 tokens | Provider | + 3% fee | You 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.
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.