LLM Reference

Phind CodeLlama 34B V2

About

Phind CodeLlama 34B v2 is a large language model designed specifically for code generation tasks, built on the CodeLlama architecture. It generates high-quality code in multiple programming languages such as Python, C/C++, TypeScript, and Java, and is instruction-tuned for enhanced usability. The model demonstrates strong benchmark performance, achieving a 73.8% pass@1 score on the HumanEval benchmark. It has been fine-tuned on a proprietary dataset of 1.5 billion tokens, focusing on instruction-answer pairs. Additionally, it showcases multi-lingual capabilities beyond programming languages and offers various quantized versions like GPTQ and GGUF for optimized performance and reduced memory usage. Despite its impressive features, thorough testing is advised prior to real-world deployment, as its testing has been limited so far 1 2 7.

Capabilities

MultimodalFunction CallingTool UseJSON Mode

Providers(3)

ProviderInput (per 1M)Output (per 1M)Type
deepinfra API
Serverless
Together AI API$0.8$0.8
Serverless
Fireworks AI Platform
Provisioned

Specifications

Parameters34B
ArchitectureDecoder Only
Specializationgeneral