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Together AI

Using MythoMax L2 13B on Together AI

Implementation guide · Mytho · Gryphe Padar

Serverless

Quick Start

  1. 1
    Create an account at Together AI and generate an API key.
  2. 2
    Use the Together AI SDK or REST API to call mythomax-l2-13b — see the documentation for request format.
  3. 3
    You'll be billed $0.30/1M input, $0.30/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
mythomax-l2-13b

Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="mythomax-l2-13b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Together AI

Platform for running open-source and proprietary LLMs

Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Pricing on Together AI

TypePrice (per 1M)
Input tokens$0.30
Output tokens$0.30

Capabilities

Structured Outputs

About MythoMax L2 13B

MythoMax L2 13B is an advanced large language model developed by Gryphe, designed specifically for creative text generation, with a focus on storytelling and role-playing applications. It builds upon the Llama 2 architecture and utilizes a unique tensor merging technique that combines strengths from the MythoLogic-L2 and Huginn models. This enhances its ability to produce coherent, contextually relevant text for extended narratives and complex character interactions. The model features a substantial parameter count of 13 billion, supporting high-quality, fluent text generation. It is configured for optimal use with Alpaca-style prompt formatting and offers multiple quantized versions to suit different hardware configurations. The model can manage extensive context lengths, making it ideal for interactive storytelling, roleplaying games, and more. However, it requires substantial computational resources and careful prompt engineering to function effectively. Potential biases or inaccuracies are a consideration, as with any large language model.

Model Specs

Released2023-10-27
Parameters13B
Context4K
ArchitectureDecoder Only

Provider

Together AI
Together AI

San Francisco, California, United States