LaMDA 2B
LaMDA 2B 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
- LaMDA
- Released
- 2021-05-11
- Parameters
- 2B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
LaMDA (Language Model for Dialogue Applications) is a family of conversational large language models developed by Google, featuring a 2 billion parameter variant. This model is a decoder-only Transformer, pre-trained on a vast dataset of 1.56 trillion words, comprising both documents and dialogues. LaMDA's design enables it to participate in open-ended conversations, offering contextually relevant and engaging responses. However, this version's smaller size might limit its performance on tasks requiring extensive context, compared to larger models like GPT-4. Challenges with accuracy, safety, and factual grounding were noted in earlier versions, but Google is actively investing in fine-tuning and integrating external knowledge to enhance the model's capabilities.
LaMDA 2B is a model in the LaMDA family. No headline benchmark score is tracked for LaMDA 2B 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.