WizardLM 30B
WizardLM 30B 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
- Family
- WizardLM
- Released
- 2023-04-28
- Context
- 2k
- Parameters
- 30B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
WizardLM 30B is a powerful large language model with 30 billion parameters, based on the Llama architecture. It offers diverse capabilities in natural language tasks, such as question answering, text generation, and open-ended conversation. This model comes in several versions, primarily differentiated by their quantization methods (e.g., GGML, GPTQ, GGUF), which affect size, speed, and memory requirements. Notably, the uncensored version lacks built-in safety and alignment mechanisms, enabling unrestricted exploration of topics but necessitating careful and responsible use. While it excels in generating text without ethical constraints, users should be aware of limitations like potential biases and lack of common sense reasoning in certain scenarios. Different prompt templates are suggested based on the version utilized to optimize performance for various hardware configurations.
WizardLM 30B is a model in the WizardLM family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for WizardLM 30B 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.