Palmyra Med 70B 32K
Palmyra Med 70B 32K has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
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
- Palmyra Med
- Released
- 2023-08-02
- Parameters
- 70B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
The Palmyra Med 70B 32K is a specialized large language model by Writer, tailored for the healthcare sector. It extends the capabilities of the original Palmyra Med 70B, offering an enhanced context window of 32,768 tokens, allowing it to handle lengthy medical documents and complex healthcare scenarios. Utilizing a Llama-based architecture, the model is fine-tuned with a bespoke medical instruction dataset and the DPO dataset, excel at summarizing clinical notes, recognizing medical entities, and enhancing data retention from various sources. It has surpassed prominent models like GPT-4 in biomedical benchmarks, achieving notable accuracy rates. However, it is not suited for direct patient care without extensive validation and is currently limited to English language applications 145.
Palmyra Med 70B 32K is a model in the Palmyra Med family. No headline benchmark score is tracked for Palmyra Med 70B 32K 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.