Platypus2 7B
Platypus2 7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
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
- Platypus2
- Released
- 2023-12-15
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The Platypus2-7B is a large language model based on the Llama 2-7B transformer architecture, specifically instruction-fine-tuned to excel in English language tasks. Developed by Cole Hunter and Ariel Lee, it was trained using a STEM and logic-focused dataset, allowing it to adeptly handle tasks that demand logical reasoning and problem-solving. Training was conducted on a single A100 80GB GPU utilizing LoRA for fine-tuning efficiency. Notable considerations include using fp16=False and bf16=True during fine-tuning for optimal performance. The model is licensed under a Non-Commercial Creative Commons license (CC BY-NC-4.0), and while it shows strengths in text generation and question answering, its abilities in other languages are uncertain. It shares common LLM risks of potentially generating biased or inaccurate outputs.
Platypus2 7B is a model in the Platypus2 family. No headline benchmark score is tracked for Platypus2 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.