This model is fine-tuned from Phind-CodeLlama-34B-v1 and achieves 73.8% pass@1 on HumanEval. Phind-CodeLlama-34B-v2 is multi-lingual and is proficient in Python, C/C++, TypeScript, Java, and more.
Fine-tuningDocs | Phind CodeLlama 34B v2 can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model |
On-demand DeploymentDocs | On-demand deployments allow you to use Phind CodeLlama 34B v2 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits. |
