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
How to use Gryphe MythoMax L2 Lite (13B)Model CardPrompting Gryphe MythoMax L2 Lite (13B)Applications & Use CasesAPI 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
Quickstart docs
How to use Gryphe MythoMax L2 Lite (13B)
Model details
Prompting Gryphe MythoMax L2 Lite (13B)
Applications & Use Cases
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.
