OLMo 7B Twin-2T
OLMo 7B Twin-2T has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating classification and json / tool use
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Family
- OLMo
- Released
- 2024-02-01
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-03
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The OLMo 7B Twin-2T is a robust open-source large language model that implements a decoder-only transformer architecture with enhancements for greater stability and performance. It features non-parametric layer normalization and SwiGLU activation functions, along with Rotary positional embeddings for better sequence handling. The model, comprising 32 layers and 32 attention heads, was trained on approximately 2 trillion tokens and supports a context length of 2048. It is notable for its transparency in AI research, as all training data, code, and evaluations are publicly accessible, promoting collaborative advancements. The model excels in various NLP tasks and has options for fine-tuning, while its developers advocate for responsible AI usage to mitigate risks of bias and inaccuracies.
OLMo 7B Twin-2T is a model in the OLMo family. The structured metadata tracks structured outputs. This page tracks provider routes through Together AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for OLMo 7B Twin-2T yet.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.