Nous Capybara 34B
- Family
- Capybara
- Released
- 2024-10-31
- Context
- 200K
- Parameters
- 34B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-11
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · Fireworks AI
About
The Nous Capybara 34B, developed by NousResearch, is a cutting-edge large language model built on the Yi-34B architecture. It stands out with its remarkable 200K context length, enabling effective handling of vast input data. Excelling in tasks such as text generation, conversational AI, complex summarization, and information recall, the model is trained on a concise dataset of 20,000 examples, enhanced by the Amplify-Instruct synthesis technique. This transformer-based model provides multiple quantization formats for varied hardware capacities, though it faces challenges like small dataset size and potential accuracy trade-offs.
Providers(1)
Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.900 | $0.900 | Provisioned |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · Fireworks AI