LaMDA 137B
LaMDA 137B 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
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
- LaMDA
- Released
- 2021-05-11
- Parameters
- 137B
- 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
LaMDA 137B is an advanced conversational model from Google's LaMDA (Language Model for Dialogue Applications) family, highlighting its transformative capabilities within dialogues. Built on a decoder-only Transformer architecture with 64 layers and 128 heads, its large 137 billion parameter size allows it to craft dialogues that are coherent, engaging, and dynamic. Pre-trained on a vast dataset of 1.56 trillion words, its design focuses on managing a wide array of discussion topics. Despite its sophisticated architecture and extensive pre-training, challenges such as ensuring factual accuracy and addressing safety concerns remain.
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.
No tracked provider token pricing is available yet.