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gryphe/mythomax-l2-13b

The idea behind this merge is that each layer is composed of several tensors, which are in turn responsible for specific functions. Using MythoLogic-L2's robust understanding as its input and Huginn's extensive writing capability as its output seems to have resulted in a model that exceeds at both, confirming my theory. (More details to be released at a later time).

Tool calling
Try gryphe/mythomax-l2-13bCompareDocs

Specifications

Context window4K tokens
Max outputN/A
API typechat
AddedJul 2, 2023
Model IDnovita/gryphe/mythomax-l2-13b
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.09
Output / 1M
$0.09
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K output$0.0099
1M input + 100K output$0.0990
10M input + 1M output$0.99

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/gryphe/mythomax-l2-13b.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/gryphe/mythomax-l2-13b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does gryphe/mythomax-l2-13b cost?
gryphe/mythomax-l2-13b is priced at $0.09 per million input tokens and $0.09 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of gryphe/mythomax-l2-13b?
gryphe/mythomax-l2-13b has a context window of 4K tokens. That's roughly 5 words of input you can fit in a single prompt.
What can gryphe/mythomax-l2-13b do?
gryphe/mythomax-l2-13b supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gryphe/mythomax-l2-13b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/gryphe/mythomax-l2-13b". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run gryphe/mythomax-l2-13b through Requesty?
Yes. gryphe/mythomax-l2-13b runs through Requesty's OpenAI-compatible API, served from Novita AI. You do not host the model yourself: point base_url at Requesty, set the model to "novita/gryphe/mythomax-l2-13b", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access gryphe/mythomax-l2-13b through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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