Models / Chat / Gryphe MythoMax L2 Lite (13B)
Gryphe MythoMax L2 Lite (13B)
LLM
Experimental merge of MythoLogic-L2 and Huginn using tensor intermingling for enhanced front and end tensor integration.
Try our Gryphe MythoMax API
API Usage
Endpoint
Gryphe/MythoMax-L2-13b-Lite
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/chat/completions" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "Gryphe/MythoMax-L2-13b-Lite",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'
JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="Gryphe/MythoMax-L2-13b-Lite",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)
print(response.choices[0].message.content)
JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "Gryphe/MythoMax-L2-13b-Lite",
});
console.log(response.choices[0].message.content)
JSON RESPONSE
Model Provider:
Gryphe
Type:
Chat
Variant:
Lite
Parameters:
13B
Deployment:
✔ Serverless
Quantization
Context length:
4K
Pricing:
$0.10
Run in playground
Deploy model
Quickstart docs
Looking for production scale? Deploy on a dedicated endpoint
Deploy Gryphe MythoMax L2 Lite (13B) on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
