LLM Reference

Open-CALM 7B

Released
2023-05-01
Last refreshed
2026-05-19
Status
Researched 25d ago
Open WeightsCommercial use with conditions

Open-CALM 7B 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
Specifications
Family
Open-CALM
Released
2023-05-01
Context
2k
Parameters
6.8B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
CC-BY-SA-4.0Commercial use with conditions
Training
pretrained
Created by

Japanese language models for digital advertising.

Tokyo, Japan
Founded 1998
Website
Pricing

No tracked provider token pricing is available yet.

About

Open-CALM 7B is CyberAgent's largest open-weight Japanese language model in the CALM family, pre-trained on Japanese text data for content generation and conversational AI.

Open-CALM 7B is an open-weight model in the Open-CALM family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Open-CALM 7B 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.