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OLMo 7B Instruct

allenai/olmo-7b-instruct

2KContext Window

Online

OLMo 7B Instruct by the Allen Institute for AI is a model finetuned for question answering. It demonstrates **notable performance** across multiple benchmarks including TruthfulQA and ToxiGen. **Open Source**: The model, its code, checkpoints, logs are released under the [Apache 2.0 license](https://choosealicense.com/licenses/apache-2.0). - [Core repo (training, inference, fine-tuning etc.)](https://github.com/allenai/OLMo) - [Evaluation code](https://github.com/allenai/OLMo-Eval) - [Further fine-tuning code](https://github.com/allenai/open-instruct) - [Paper](https://arxiv.org/abs/2402.00838) - [Technical blog post](https://blog.allenai.org/olmo-open-language-model-87ccfc95f580) - [W&B Logs](https://wandb.ai/ai2-llm/OLMo-7B/reports/OLMo-7B--Vmlldzo2NzQyMzk5)

Capabilities

Text GenerationCode GenerationAnalysis & Reasoningmodels.reasoning

Technical Specs

Input Modality

Text

Output Modality

Text

Arch

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Pricing

Pay per use, no monthly fees

Input Token< ¥0.001/1K Token

Output Token< ¥0.001/1K Token

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uniontoken.ai/v1",
    api_key="YOUR_UNIONTOKEN_API_KEY",
)

response = client.chat.completions.create(
    model="allenai/olmo-7b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

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