SAGEA LogoDocs & API
Models & PricingModel Cards
March 18, 2026
GAOPENv26.03

SAGE OSS

The open-source model family from SAGEA, designed for community research, fine-tuning, and self-hosted deployments. Fully open weights with permissive licensing.

Speed
Performance
Context
16k
Price
$0.05 / $0.15 /M Tokens

Try it

import sagea

client = sagea.Client(api_key="your-api-key")

response = client.chat.completions.create(
    model="sage-oss",
    messages=[{"role": "user", "content": "Hello, SAGE!"}]
)

print(response.choices[0].message.content)

Base URL: https://api.sagea.space/v1 — Auth: Authorization: Bearer $SAGEA_API_KEY

Specifications

Parameters7B / 14B / 24B
Context Length16,384 tokens
Max Output4,096 tokens
Training DataUp to March 2026
LicenseApache 2.0
Other Models

Capabilities

SAGE OSS is the community family (7B / 14B / 24B) with fully open weights under Apache 2.0. Fine-tune with LoRA or full training, self-host, and deploy privately.

  • Open weights: download and run locally with no restrictions.
  • Fine-tunable: LoRA + full fine-tuning recipes included.
  • API-compatible: same POST https://api.sagea.space/v1/chat/completions schema as hosted models, so you can migrate seamlessly.
from transformers import AutoModelForCausalLM, AutoTokenizer
 
model = AutoModelForCausalLM.from_pretrained("sagea/sage-oss-14b")
tokenizer = AutoTokenizer.from_pretrained("sagea/sage-oss-14b")

Use cases

  • Research, distillation, and domain adaptation
  • Private / air-gapped deployments
  • Prototyping before scaling to Actus/Celer in production

Limitations

  • 16k context — use Actus for long-context workloads.
  • Community support; production SLAs apply to hosted API plans. See Choosing a Model.

Next steps

On this page