---
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- esper
- esper-3.1
- esper-3
- valiant
- valiant-labs
- gpt
- gpt-oss
- gpt-oss-20b
- openai
- 20b
- reasoning
- code
- code-instruct
- python
- javascript
- dev-ops
- jenkins
- terraform
- ansible
- docker
- jenkins
- kubernetes
- helm
- grafana
- prometheus
- shell
- bash
- azure
- aws
- gcp
- cloud
- scripting
- powershell
- problem-solving
- architect
- engineer
- developer
- creative
- analytical
- expert
- rationality
- conversational
- chat
- instruct
base_model: openai/gpt-oss-20b
datasets:
- sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus
- sequelbox/Tachibana3-Part2-DeepSeek-V3.2
- sequelbox/Titanium3-DeepSeek-V3.1-Terminus
- sequelbox/Mitakihara-DeepSeek-R1-0528
license: apache-2.0
---


**[Support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**


![image/jpeg](/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F64f267a8a4f79a118e0fcc89%2FqdicXwrO_XOKRTjOu2yBF.jpeg)

Esper 3.1: [Qwen3-4B-Thinking-2507](https://huggingface.co/ValiantLabs/Qwen3-4B-Thinking-2507-Esper3.1), [gpt-oss-20b](https://huggingface.co/ValiantLabs/gpt-oss-20b-Esper3.1)


Esper 3.1 is a coding, architecture, and DevOps reasoning specialist built on gpt-oss-20b.
- Your dedicated DevOps expert: Esper 3.1 maximizes DevOps and architecture helpfulness, powered by [high-difficulty DevOps and architecture data](https://huggingface.co/datasets/sequelbox/Titanium3-DeepSeek-V3.1-Terminus) generated with DeepSeek-V3.1-Terminus!
- Improved coding performance: challenging code-reasoning datasets stretch [DeepSeek-V3.1-Terminus](https://huggingface.co/datasets/sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus) and [DeepSeek-V3.2](https://huggingface.co/datasets/sequelbox/Tachibana3-Part2-DeepSeek-V3.2) to the limits, allowing Esper 3.1 to tackle harder coding tasks!
- AI to build AI: our [high-difficulty AI expertise data](https://huggingface.co/datasets/sequelbox/Mitakihara-DeepSeek-R1-0528) boosts Esper 3.1's MLOps, AI architecture, AI research, and general reasoning skills.
- Small model sizes allow running on local desktop and mobile, plus super-fast server inference!



## Prompting Guide
Esper 3.1 uses the [gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) prompt format.

Esper 3.1 is a reasoning finetune; **reasoning level high is generally recommended.**

**NOTE: This release of Esper 3.1 uses bf16 for all parameters. Consider quantized models if you're not looking to use bf16.**

Example inference script provided by [gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) to get started:

```python
from transformers import pipeline
import torch

model_id = "ValiantLabs/gpt-oss-20b-Esper3.1"

pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype="auto",
    device_map="auto",
)

messages = [
    {"role": "user", "content": "Design a serverless architecture for a real-time image processing application using AWS Lambda and Amazon S3."},
]

outputs = pipe(
    messages,
    max_new_tokens=15000,
)
print(outputs[0]["generated_text"][-1])
```


![image/jpeg](/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F63444f2687964b331809eb55%2FVCJ8Fmefd8cdVhXSSxJiD.jpeg)


Esper 3.1 is created by [Valiant Labs.](http://valiantlabs.ca/)

[Check out our HuggingFace page to see all of our models!](https://huggingface.co/ValiantLabs)

We care about open source. For everyone to use.