Together AI exposes Toppy M 7B through model ID toppy-m-7b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
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Code Examples
pip install togetherTOGETHER_API_KEYtoppy-m-7bTogether 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)Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
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.