Mythomax L2 13B
gryphe/mythomax-l2-13b
The idea behind this merger is that each layer consists of several tensors, each of which is responsible for specific functions. By using MythoLogic-L2’s robust understanding as input and Huginn’s extensive writing capability as output, we appear to have created a model that excels at both, confirming my theory. (More details will be released at a later date.)
Price
| Input | $0.09 per million tokens |
| Output | $0.09 per million tokens |
Use the following code example to integrate our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.jiekou.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="gryphe/mythomax-l2-13b",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=32000,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Information
Provider
Quantification
fp16
Supported Features
Context length
4096
Maximum output
32000
serverless
Support
Input Capabilities
text
Output Capabilities
text