LLM Reference

OLMo 7B Twin-2T

Released
2024-02-01
Last refreshed
2026-06-15
Status
Researched 90d ago
Open sourceCommercial use: permittedClassificationJSON / Tool use

OLMo 7B Twin-2T is a released classification and json / tool use model with open-source; evaluate it while provider pricing coverage matures.

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
Specifications
Family
OLMo
Released
2024-02-01
Parameters
7B
Architecture
Decoder Only
Knowledge cutoff
2023-03
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Advocating for open science and source

Seattle, Washington, United States
Founded 2014
Website
Pricing

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 an open-source 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.

Capabilities

Structured Outputs

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.

Frequently asked questions

How much does OLMo 7B Twin-2T cost?

OLMo 7B Twin-2T is available at $0.2/1M input tokens through Together AI.

When was OLMo 7B Twin-2T released?

OLMo 7B Twin-2T was released on 2024-02-01.

Which providers offer OLMo 7B Twin-2T?

OLMo 7B Twin-2T is available from 1 provider: Together AI.