ReMM SLERP 13B
undi95/remm-slerp-l2-13b
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Providers for ReMM SLERP 13B
OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Context 6K Max Output 1K Input $0.563 -25% -25% Output $1.125 -25% -25% | |
Context 6K Max Output 1K Input $0.75 Output $1.50 | |
US fp8 | Context 4K Max Output 4K Input $0.80 Output $1.20 |
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it.
Learn more about our load balancing and customization options.
Sample code and API for ReMM SLERP 13B
OpenRouter normalizes requests and responses across providers for you.
OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="<OPENROUTER_API_KEY>",
)
completion = client.chat.completions.create(
extra_headers={
"HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
"X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
},
extra_body={},
model="undi95/remm-slerp-l2-13b",
messages=[
{
"role": "user",
"content": "What is the meaning of life?"
}
]
)
print(completion.choices[0].message.content)Using third-party SDKs
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.