LingoWhale 8B
LingoWhale 8B 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
- Family
- LingoWhale
- Released
- 2024-09-20
- Context
- 4k
- Parameters
- 8B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
LingoWhale-8B is a bilingual large language model constructed with a transformer architecture, featuring 8 billion parameters. Developed through collaboration between DeepLangAI and THUNLP Lab, this model was pretrained on an expansive dataset of high-quality Chinese and English texts. It excels in understanding and generating long-context text in these languages, providing services like question answering, content generation, bilingual translation, content summarization, and suggestions. Despite its strong abilities, LingoWhale-8B faces challenges like potential biases from its training data, weaker performance on complex mathematical calculations, and occasional hallucinations.
LingoWhale 8B is a model in the LingoWhale family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for LingoWhale 8B 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.