Aquila 2 7B
Aquila 2 7B is an early limited-data entry; LLMReference does not yet track enough provider, pricing, benchmark, or task-fit evidence to recommend it.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Aquila 2
- Released
- 2023-11-02
- Context
- 2k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider token pricing is available yet.
About
The Aquila 2 7B is a bilingual large language model crafted by the Beijing Academy of Artificial Intelligence, capable of processing both Chinese and English languages. It features a state-of-the-art transformer architecture, drawing design influences from GPT-3 and LLaMA. The model's training employed the innovative HeuriMentor framework, enhancing adaptive learning and efficient data management. With a token vocabulary of 100,000 and support for sequences up to 8192 tokens, it excels in various NLP tasks like text generation.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
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Comparison and alternatives
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No tracked provider token pricing is available yet.