Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
nexusraven-v2-13b— see the documentation for request format. - 3
Code Examples
pip install togetherTOGETHER_API_KEYnexusraven-v2-13bTogether 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="nexusraven-v2-13b",
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
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.30 |
| Output tokens | $0.30 |
Capabilities
About NexusRaven-V2 13B
NexusRaven-V2 13B is an open-source, commercially viable large language model crafted by NexusFlow, based on the CodeLlama-13b-Instruct-hf model. It specializes in zero-shot function calling, surpassing GPT-4 by 7% in certain scenarios. This model supports generating single, nested, and parallel function calls and can explain its processes clearly. It performs best with a retriever to manage numerous functions without exceeding its context window, though it can sometimes produce inaccurate function calls, requiring guardrails for error mitigation. With various quantized versions balancing model size and performance, NexusRaven-V2 is also compatible with multiple frameworks like LangChain.