gryphe/mythomax-l2-13b

Created 11/5/2024

gryphe

$0.20 / M Tokens

LeasableThis model is available to lease. It is not currently live, but you can request access to it and will become live shortly if the immunity period of the other models is over.

With Llama 3 released, it's time for MythoMax to slowly fade away... Let's do it in style! An improved, potentially even perfected variant of MythoMix, my MythoLogic-L2 and Huginn merge using a highly experimental tensor type merge technique. The main difference with MythoMix is that I allowed more of Huginn to intermingle with the single tensors located at the front and end of a model, resulting in increased coherency across the entire structure. The script and the accompanying templates I used to produce both can be found here. This model is proficient at both roleplaying and storywriting due to its unique nature. Quantized models are available from TheBloke: GGUF - GPTQ - AWQ (You're the best!) Model Details: 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 excels at both, confirming my theory. (More details to be released at a later time.) This type of merge is incapable of being illustrated, as each of its 363 tensors had a unique ratio applied to it. As with my prior merges, gradients were part of these ratios to further fine-tune its behavior.

Text Generation

Code Examples

Get started with code samples in your preferred language

Chat Example

Basic example of chat with the selected model

curl

1curl https://api.targon.com/v1/chat/completions \
2  -H "Content-Type: application/json" \
3  -H "Authorization: Bearer YOUR_API_KEY" \
4  -N \
5  -d '{
6    "model": "gryphe/mythomax-l2-13b",
7    "stream": true,
8    "messages": [
9      {"role": "system", "content": "You are a helpful programming assistant."},
10      {"role": "user", "content": "Write a bubble sort implementation in Python with comments explaining how it works"}
11    ],
12    "temperature": 0.7,
13    "max_tokens": 256,
14    "top_p": 0.1,
15    "frequency_penalty": 0,
16    "presence_penalty": 0
17  }'

Completions Example

Basic example of completions with the selected model

curl

1curl https://api.targon.com/v1/completions \
2    -H "Content-Type: application/json" \
3    -H "Authorization: Bearer YOUR_API_KEY" \
4    -N \
5    -d '{
6      "model": "gryphe/mythomax-l2-13b",
7      "stream": true,
8      "prompt": "The x y problem is",
9      "temperature": 0.7,
10      "max_tokens": 256,
11      "top_p": 0.1,
12      "frequency_penalty": 0,
13      "presence_penalty": 0
14    }'