WizardCoder Python 34B
WizardCoder Python 34B is worth evaluating for classification and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating classification and json / tool use
- Workloads that can use a 100k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- WizardCoder
- Released
- 2024-01-29
- Context
- 100k
- Parameters
- 34B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 2 routes · Together AI
About
WizardCoder Python 34B is a large language model (LLM) tailored for code generation and comprehension, primarily focusing on Python. Harnessing a Transformer-based structure with 34 billion parameters, it was refined using the Evol-Instruct method to enhance its instruction-following skills. This model excels in generating accurate and context-aware code, offering functionalities like code generation, completion, summarization, and translation across languages. It has achieved notable performance in benchmarks such as HumanEval, even outperforming certain versions of GPT-4 in specific tests. Despite its strengths, it requires significant computational resources, such as at least 32GB of RAM, for optimal performance and has different quantization levels to balance accuracy and resource needs 146.
WizardCoder Python 34B is a model in the WizardCoder family. The structured metadata tracks a 100k-token context window and structured outputs. This page tracks provider routes through Together AI and Replicate API, with the cheapest tracked route listed at $0.2 input and $1 output per 1M tokens. No headline benchmark score is tracked for WizardCoder Python 34B yet.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Together AI | $0.800 | $0.800 | Serverless |
| Replicate API | $0.200 | $1.00 | Serverless |
Capabilities
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.