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eva-unit-01 · Open weights

EVA-Qwen2.5-72B-v0.2

Added Sep 25, 2025Open weights

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Use in the app

A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-72B on mixture of synthetic and natural data. It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and flavor of the resulting model.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.80
Output
$0.80

Reference prices as published by the model provider. API example

Specifications

Context window
16.4K
Max output
8.2K
Average output (7 days)
306 tokens
Longer than 32% of 468 models

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EVA-Qwen2.5-72B-v0.2 compared

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EVA-Qwen2.5-72B-v0.2eva-unit-01This modelEVA Llama 3.33 70Beva-unit-01Remove
Providereva-unit-01eva-unit-01
Discovery tierOpen weightsOpen weights
AddedSep 25, 2025Jul 26, 2025
Limits
Context window16.38K32.77KBest
Max output8.19K—
Average output306 tokens321 tokens
Pricing, USD per 1M tokens
Input$0.80Best$2.01
Output$0.80Best$2.01
Performance
Request success (24h)12.8%50.0%Best
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
12.8%

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

eva-unit-01

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