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Together AI

Using Toppy M 7B on Together AI

Implementation guide · Toppy · Undi95

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 toppy-m-7b — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.20/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
toppy-m-7b

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="toppy-m-7b",
    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$0.20
Output tokens$0.20

Capabilities

Structured Outputs

About Toppy M 7B

Toppy M 7B is a 7-billion parameter large language model developed by Undi, designed for advanced natural language processing and sophisticated model interactions. It can handle real-time decision-making in AI-driven systems and dynamic content generation, making it highly compatible with leading AI development tools and platforms. The model supports enhanced tokenization and effective handling of special tokens. Various quantization formats, like GGUF, are available, offering trade-offs between model size, memory requirements, and performance. Users need to consider the appropriate quantization method for efficient integration into computational environments. However, the model’s limitations may include memory and processing power challenges. Notably, its Hugging Face repository is marked as "Not-For-All-Audiences" due to potentially sensitive content, suggesting possible biases or inappropriate outputs.

Model Specs

Released2023-12-20
Parameters7B
Context4K
ArchitectureDecoder Only

Provider

Together AI
Together AI

San Francisco, California, United States