Pythia 14M
Pythia 14M 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
- 14M
- Architecture
- Decoder Only
- Knowledge cutoff
- 2020-03
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Pythia 14M is a large language model developed by EleutherAI, utilizing the GPT-NeoX architecture. It consists of 14 million parameters and can handle a context length of up to 2048 tokens, which allows it to be efficiently used with just 0.1 GB of VRAM. Designed for generating English text, this model excels at tasks such as sentence generation and completion. However, Pythia 14M is not ideal for tasks that require extensive domain knowledge or involve non-English text due to its smaller size, which can impact performance in comparison to larger models. The model's training incorporated datasets like web-scraped educational content and filtered Common Crawl data.
Pythia 14M is a model in the Pythia family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Pythia 14M 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.