LLM Reference

Palmyra Fin 56B

Released
2024-01-30
Last refreshed
2026-05-19
Status
Researched 16d ago

Palmyra Fin 56B 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 4k 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
Released
2024-01-30
Context
4k
Parameters
56B
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

AI-powered writing assistance and optimization.

San Francisco, California, United States
Founded 2020
Website
Pricing

No tracked provider token pricing is available yet.

About

Palmyra-Fin-56B is a specialized large language model designed for the financial sector, developed by Writer, a company known for generative AI solutions. The model has been extensively fine-tuned with high-quality financial data, allowing it to effectively perform tasks like financial document analysis, market trend prediction, and risk assessment. It has demonstrated solid results on benchmarks such as Long-Fin-Eval, although it scores below some more advanced models. Despite its strengths, it shares common LLM limitations, including potential biases and the necessity for human oversight, emphasizing that it should not replace professional financial judgment.

Palmyra Fin 56B is a model in the Palmyra Finance family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for Palmyra Fin 56B 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.

Rankings & picks(4)