LLaMA-2-7B-32K-Instruct (7B) overview
LLaMA-2-7B-32K-Instruct (7B) by Together
Experience tailored task execution with LLaMA-2-7B-32K-Instruct (7B) API, a 7 billion parameter model designed for precise instruction following and sophisticated decision-making.
LLaMA-2-7B-32K-Instruct (7B) specs
- Developer
- Together
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
LLaMA-2-7B-32K-Instruct (7B) Description
LLaMA-2-7B-32K-Instruct (7B) is an AI model optimized for following complex instructions and executing tasks with high accuracy. With 7 billion parameters and a specialized instruction set of 32,000 tokens, it excels in processing detailed directives and delivering precise outcomes, making it a formidable tool in AI-driven task management.
Instruction-Based Execution
This model is particularly effective in scenarios requiring the understanding and implementation of detailed instructions. Its large-scale parameter count and extensive instruction set enable it to comprehend and act on complex commands, facilitating advanced task execution and problem-solving capabilities.
Comparative Advantages
What sets LLaMA-2-7B-32K-Instruct (7B) apart is its unique combination of a vast parameter space and an extensive instruction set, which allows for nuanced understanding and execution of tasks. This model surpasses smaller or less specialized models in its ability to follow intricate instructions and implement complex solutions.
Customization and Adaptability
The model’s design facilitates customization to specific task requirements, enhancing its applicability across various industries and use cases. Its adaptability ensures that it can be fine-tuned to optimize performance and achieve the desired outcomes in diverse operational contexts.
Driving Efficiency with AI
LLaMA-2-7B-32K-Instruct (7B) represents a significant advancement in AI-driven task execution, offering organizations the ability to streamline complex processes and enhance decision-making through precise and intelligent automation. This model is a key player in the evolution of AI capabilities, pushing the boundaries of what can be achieved with instruction-based AI solutions.
Use cases
- Software development assistance
- Data analysis and interpretation
- Technical support and problem solving
- Text summarization and outlining for long documents
- Multi-document question answering
- General instruction following for automation and task execution
Capabilities
- Function calling
- Streaming
- Structured outputs
LLaMA-2-7B-32K-Instruct (7B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.21 | 1M tokens |
| Output | $0.21 | 1M tokens |
LLaMA-2-7B-32K-Instruct (7B) is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
LLaMA-2-7B-32K-Instruct (7B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 LLaMA-2-7B-32K-Instruct (7B) | $0.21 | $0.21 |
| RedPajama-INCITE Chat (3B) | $0.105 | $0.105 |
 Small 3.2 24B | $0.0794 | $0.2116 |
 Nemotron 3 Nano 30B A3B | $0.0529 | $0.2116 |
| Nemotron 3.5 Content Safety | $0.2116 | $0.2116 |
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LLaMA-2-7B-32K-Instruct (7B) FAQ
Does LLaMA-2-7B-32K-Instruct (7B) support streaming?
Yes, LLaMA-2-7B-32K-Instruct (7B) can stream responses as they are generated.
Does LLaMA-2-7B-32K-Instruct (7B) support tool calling and structured outputs?
Yes, LLaMA-2-7B-32K-Instruct (7B) supports both function calling and structured outputs.
Who created LLaMA-2-7B-32K-Instruct (7B)?
LLaMA-2-7B-32K-Instruct (7B) was built by Together.
Which API endpoint version does this model use?
It is served via the v1 endpoint from Together.