Using Phind CodeLlama 34B V1 on Fireworks AI

Implementation guide · Phind CodeLlama · Phind

ProvisionedOpen Weights

Fireworks AI exposes Phind CodeLlama 34B V1 through model ID accounts/fireworks/models/phind-code-llama-34b-v1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

1
Create an account at Fireworks AI and generate an API key.
2
Use the Fireworks AI SDK or REST API to call accounts/fireworks/models/phind-code-llama-34b-v1 — see the documentation for request format.
3
You'll be billed $0.90/1M input, $0.90/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

FIREWORKS_API_KEY

Model ID

accounts/fireworks/models/phind-code-llama-34b-v1

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/phind-code-llama-34b-v1",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)