Platypus 30B
Platypus 30B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
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
- Platypus
- Released
- 2023-07-18
- Context
- 2k
- Parameters
- 30B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Platypus 30B is a sophisticated large language model based on the LLaMA transformer architecture, featuring 33 billion parameters, 60 layers, and 52 attention heads. It excels in tasks such as text generation, question answering, and instruction following. The model's training involved a specialized dataset aimed at improving performance in STEM and logical reasoning, utilizing LoRA for efficient fine-tuning. Despite its advanced capabilities, Platypus 30B faces challenges with bias, static knowledge, and handling complex queries, emphasizing the need for responsible usage.
Platypus 30B is a model in the Platypus family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Platypus 30B 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.