Phind Code LLaMA v2 (34B) overview
Phind Code LLaMA v2 (34B) by Phind
Phind Code LLaMA v2 (34B) API transforms coding by automating generation, debugging, and translating code across multiple languages.
Phind Code LLaMA v2 (34B) specs
- Developer
- Phind
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Basic Information
Model Name: Phind-CodeLlama-34B-Python-v1Developer/Creator: PhindRelease Date: May 2023Version: 1.0Model Type: Large language model fine-tuned for programming
- Developer/Creator:Salesforce AI Research
- Model Type: Autoregressive Language Model
Versions
Phind/Phind-CodeLlama-34B-Python-v1 - the first iteration of Phind CodeLlama, fine-tuned for Python. 69.5% on HumanEval.
Phind/Phind-CodeLlama-34B-v2 - the newest iteration of the model. 73.8% on HumanEval.
Overview
Phind Code LLaMA v2 (34B) represents a leap forward in AI-powered code generation and analysis. Built on the robust LLaMA architecture, this model is designed to understand, interpret, and generate code across multiple programming languages. With a massive 34 billion parameters, it delivers precise, context-aware suggestions, making it an indispensable tool for developers seeking to optimize their coding workflow. By integrating with the Phind Code API, users gain access to an AI assistant capable of tackling complex coding challenges, from bug fixes to writing entire code bases from scratch.
Comparing Phind Code LLaMA v2 (34B) to Other Models
Phind Code LLaMA v2 (34B) stands out for its specialized focus on coding tasks, differentiating itself from general-purpose models like GPT and Codex. Its tailored architecture and training on diverse codebases enable it to understand and generate code with a higher degree of accuracy and relevance. This specialization makes it a superior choice for software development applications, offering more precise and efficient coding assistance.
Tips for Maximizing Efficiency with Phind Code LLaMA v2 (34B)
To make the most of the Phind Code LLaMA v2 (34B) API, consider the following best practices:
- Detailed Prompts: Provide clear, concise instructions to improve the relevance of generated code.
- Iterative Refinement: Use the model's output as a starting point, and refine through iterative requests to hone in on the desired solution.
- Leverage Examples: Including examples in your prompts can guide the AI to produce code that aligns more closely with your requirements.
- Understand Limitations: While Phind Code LLaMA v2 (34B) is powerful, it's important to review and test the generated code, especially for critical applications.Optimizing Your Workflow with Phind Code LLaMA v2 (34B)
The integration of Phind Code LLaMA v2 (34B) into your development process can significantly accelerate coding tasks, from ideation to deployment. Its ability to understand context and generate relevant code snippets transforms the way developers approach coding challenges, promoting a more efficient and creative workflow. Whether you're a seasoned developer or just starting, Phind Code LLaMA v2 (34B) offers the tools to push your coding capabilities to new heights.
Use cases
- Automated Code Generation: Quickly generate snippets or entire scripts in a variety of languages.
- Code Debugging and Refinement: Identify and fix errors with AI-powered insights.
- Learning and Mentorship: Enhance your coding skills by understanding AI-generated code explanations and best practices.
- Code Translation: Seamlessly translate code between different programming languages, fostering easier maintenance and migration projects.
Capabilities
- Function calling
- Streaming
- Structured outputs
Phind Code LLaMA v2 (34B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.84 | 1M tokens |
| Output | $0.84 | 1M tokens |
Phind Code LLaMA v2 (34B) is unlisted on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Phind Code LLaMA v2 (34B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.84 | $0.84 | |
| $0.2116 | $0.7935 | |
| Mercury 2 | $0.2645 | $0.7935 |
| $0.2116 | $0.8464 | |
| Skyfall 36B V2 | $0.5819 | $0.8464 |
Related articles
Phind Code LLaMA v2 (34B) FAQ
How much does Phind Code LLaMA v2 (34B) cost?
Phind Code LLaMA v2 (34B) is priced at input $0.84 / 1M, output $0.84 / 1M.
Does Phind Code LLaMA v2 (34B) support streaming?
Yes, Phind Code LLaMA v2 (34B) can stream responses as they are generated.
Does Phind Code LLaMA v2 (34B) support tool calling and structured outputs?
Yes, Phind Code LLaMA v2 (34B) supports both function calling and structured outputs.
Who created Phind Code LLaMA v2 (34B)?
Phind Code LLaMA v2 (34B) was built by Phind.
What API endpoint does Phind Code LLaMA v2 (34B) use?
It is accessed through endpoint v1.


