Pythia 410M
Pythia 410M 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
- Pythia
- Released
- 2023-05-31
- Context
- 2k
- Parameters
- 410M
- Architecture
- Decoder Only
- Knowledge cutoff
- 2020-03
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Pythia 410M is a 410 million parameter transformer-based language model created by EleutherAI as part of the Pythia Scaling Suite, which consists of 16 models aimed at supporting interpretability research. Built using the GPT-NeoX library, this model is designed for text generation and language understanding tasks but is primarily for research use, not optimized for user-facing applications. It operates with 24 layers, a model dimension of 1024, and 16 heads, having been trained on approximately 300 billion tokens from the Pile dataset. While it supports only English, the model provides insights into learning dynamics with its 154 intermediate checkpoints. However, it may generate biased or offensive text, and outputs should be treated with caution as they're not factually verified.
Pythia 410M is a model in the Pythia family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Pythia 410M 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.