FARE-20B on Fireworks AI

FARE · Salesforce AI Research

Provisioned
Open Weights

Last refreshed 2026-10-09. Next refresh: weekly.

Why use FARE-20B on Fireworks AI?

Fireworks AI offers FARE-20B. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
accounts/fireworks/models/fare-20b

Request example

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/fare-20b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "accounts/fireworks/models/fare-20b", not the LLMReference slug "fare-20b".
  • 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".
  • The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Capabilities

No model capability flags are currently sourced.

About FARE-20B

FARE-20B is a multi-task evaluator model from Salesforce AI Research, fine-tuned from OpenAI's gpt-oss-20b and introduced in October 2025. It is trained with rejection-sampling fine-tuning on a large multi-domain dataset to act as a judge: comparing two responses, finding the first wrong step in a solution, verifying answers with or without a reference, and giving single ratings, using the prompt templates published with the model. Weights are on Hugging Face under CC BY-NC 4.0 (non-commercial). Fireworks offers it as an on-demand deployment with 131K context.

Get Started

Model Specs

Released2025-10-20
Parameters20.9B
Context128K
ArchitectureDecoder Only