Nous Capybara 7B
Nous Capybara 7B is released 2024-10-31 in the Capybara family with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
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
- Capybara
- Released
- 2024-10-31
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider token pricing is available yet.
About
The Nous Capybara 7B is a large language model from NousResearch, built on the Llama architecture with 7 billion parameters. Known for its conversational proficiency, it excels in multi-turn dialogues and complex summarization. It was trained on a dataset of approximately 20,000 conversational examples using a novel synthesis technique called Amplify-Instruct. Capable of recalling information up to late 2022, the model processes up to 4096 tokens per interaction, making it ideal for chatbots and virtual assistants, although it faces limitations in data size and awareness of recent developments.
Nous Capybara 7B is an open-source model in the Capybara family. No headline benchmark score is tracked for Nous Capybara 7B yet.
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.
Frequently asked questions
When was Nous Capybara 7B released?
Nous Capybara 7B was released on 2024-10-31.
No tracked provider token pricing is available yet.