Saul 7B
Saul 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 33k 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
- SaulLM
- Released
- 2024-02-07
- Context
- 33k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- legal
- License
- MIT
- Training
- pretrained
No tracked provider token pricing is available yet.
About
SaulLM-7B is the first large language model designed explicitly for legal text comprehension and generation. Built by Equall via continued pretraining of Mistral 7B on over 30 billion tokens of English legal text drawn from US, Canadian, UK, and EU legal databases. Achieves a score of 0.38 on LegalBench-Instruct (base model, pre-instruction tuning).
Saul 7B is a model in the SaulLM family. The structured metadata tracks a 33k-token context window. No headline benchmark score is tracked for Saul 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.