leeroy-jankins/gipity

Gipity (gipity-oss-20b-Q4_K_XL.GGUF) is a fine-tuned LLM based on OpenAI’s Chat GPT-5. This release packages the fine-tuned weights (or adapters) for practical, low-latency instruction following, summarization, reasoning, and light code generation. It is intended for local or self-hosted environments and RAG (Retrieval-Augmented Generation) stacks that require predictable, fast outputs.

Quantized, and fine-tuned GGUF based on OpenAI’s gpt-oss-20b Format: GGUF (for llama.cpp and compatible runtimes) • Quantization: Q4_K_XL (4-bit, K-grouped, extra-low loss) Gipity is a multimodal LLM for AI workflows based on OpenAI GPT-5.x. It is designed to provide a unified workspace for text, image and vision, audio, embeddings, files, vector stores, prompt engineering, and document-grounded analysis that comes with an optional UI.

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📥 Download the Gipity Model

1. Download the GGUF file:

   gipity-oss-20b.Q4_K_M.gguf
   

2. Place the file anywhere on your system, for example:

   C:\Users\<you>\leeroy-jankins\gipity\gipity-oss-20b.Q4_K_M.gguf
   

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⚙️ Streamlit UI

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Highlights

• Permissive Apache 2.0 license: Build freely without copyleft restrictions or patent risk—ideal for experimentation, customization, and commercial deployment.
• Configurable reasoning effort: Easily adjust the reasoning effort (low, medium, high) based on your specific use case and latency needs.
• Full chain-of-thought: Gain complete access to the model’s reasoning process, facilitating easier debugging and increased trust in outputs. It’s not intended to be shown to end users.
• Fine-tunable: Fully customize models to your specific use case through parameter fine-tuning.
• Agentic capabilities: Use the models’ native capabilities for function calling, web browsing, Python code execution, and Structured Outputs.
• Native MXFP4 quantization: The models are trained with native MXFP4 precision for the MoE layer, making gipity-oss-20b model run within 16GB of memory.

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⚙️ Fine-Tuning Datasets

File Name	Description
Balanced Budget and Emergency Deficit Control Act of 1985	Establishes statutory limits on federal spending and deficit control mechanisms, including sequestration procedures.
Budget Control Act of 2011	Sets discretionary spending caps and establishes enforcement mechanisms to control federal deficits.
Digital Accountability And Transparency Act of 2014	Requires standardized federal spending data and improved transparency through government-wide financial reporting.
Federal Account Symbols And Titles Book	Defines Treasury account symbols and official titles used for federal budgetary and accounting purposes.
Federal Acquisition Regulation	Establishes uniform policies and procedures governing the acquisition of goods and services by federal agencies.
Federal Government Standards For Internal Controls	Defines the internal control framework for federal agencies to ensure accountability, integrity, and compliance.
Federal Managers Financial Integrity Act of 1982	Requires agencies to establish internal controls and report annually on their effectiveness.
Federal Trust Fund Accounting Guide	Provides accounting guidance for the management and reporting of federal trust funds.
Financial Management Regulations DOD 7000-14-R	Establishes DoD-specific financial management policies, procedures, and accounting requirements.
Fiscal Responsibility Act	Establishes statutory measures intended to improve fiscal discipline and control federal spending.
Government Auditing Standards	Sets professional standards for audits of government organizations, programs, activities, and functions.
Government Invoicing User Guide	Provides guidance on federal invoicing standards and processes for government transactions.
Government Performance and Results Act of 1993	Requires agencies to engage in strategic planning and performance measurement to improve program effectiveness.
GPRA Modernization Act of 2010	Updates GPRA by strengthening performance management, cross-agency goals, and accountability.
OMB Circular A-11 Preparation Submission And Execution Of The Budget	Provides comprehensive guidance for preparing, submitting, and executing the President’s Budget.
OMB Circular A-11 Section 120 Apportionment Process	Defines the apportionment process used to control the rate of obligation of budgetary resources.
OMB Circular A-123 Managements Responsibility for Enterprise Risk Management and Internal Control	Defines management responsibilities for internal control and enterprise risk management across federal agencies.
Federal Trust Fund Accounting Guide	Establishes requirements for federal agency financial statements and reporting.
Principles Of Federal Appropriations Law Volume One	Authoritative GAO guidance on foundational principles governing the use of federal appropriations.
Statements of Federal Federal Financial Accounting Concepts and Standards	Establishes accounting concepts and standards for federal financial reporting.
The Anti-Deficiency Act PL 97-258	Prohibits federal agencies from obligating or expending funds in excess of appropriations or before enactment.
The Anti-Deficiency Reform and Enforcement Act of 2018	Strengthens Anti-Deficiency Act enforcement and reporting requirements to improve fiscal accountability.
The Chief Financial Officers Act of 1990	Establishes agency Chief Financial Officers and modernizes federal financial management practices.
The Congressional Budget and Impoundment Control Act of 1974	Establishes the congressional budget process and restricts executive impoundment of appropriated funds.
Statutory Pay As You Go Act of 2010	Authorizes interagency agreements for the provision of goods and services on a reimbursable basis.
The Stafford Act	Provides the statutory framework for federal disaster response and emergency assistance.
Federal Trust Fund Accounting Guide	Provides additional appropriations authority beyond regular annual funding acts.
Title 2 Code of Federal Regulations – Uniform Administrative Requirements, Cost Principles, and Audit	Establishes uniform administrative, cost, and audit requirements for federal financial assistance.
Title 31 Code of Federal Regulations – Money and Finance	Codifies Treasury and federal financial management regulations governing money and finance.
US Standard General Ledger Account Definitions	Defines standardized account structures used for federal accounting and financial reporting.

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Base Model Details

Read our How to GPT Guide here!

See our collection for all versions of gpt-oss including GGUF, 4-bit & 16-bit formats.

Learn to run gpt-oss correctly - Read the Guide.

See Dynamic 2.0 GGUFs for quantization benchmarks.

✨ Read our gpt-oss Guide here!

• Fine-tune gpt-oss-20b for free using our Google Colab notebook
• Read our Blog about gpt-oss support: unsloth.ai/blog/gpt-oss
• View the rest of our notebooks in our docs here.
• Thank you to the llama.cpp team for their work on supporting this model. We wouldn't be able to release quants without them!

The F32 quant is MXFP4 upcasted to BF16 for every single layer and is unquantized.

Try gpt-oss · Guides · System card · OpenAI blog

Inference examples

Transformers

You can use gipity-oss-20b with Transformers. If you use the Transformers chat template, it will automatically apply the harmony response format. If you use model.generate directly, you need to apply the harmony format manually using the chat template or use our openai-harmony package.

To get started, install the necessary dependencies to setup your environment:

pip install -U transformers kernels torch 

Once, setup you can proceed to run the model by running the snippet below:

from transformers import pipeline
import torch

model_id = "leeroy-jankins/gipity-oss-20b"

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

messages = [
    {"role": "user", "content": "Explain quantum mechanics clearly and concisely."},
]

outputs = pipe(
    messages,
    max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])

Alternatively, you can run the model via Transformers Serve to spin up a OpenAI-compatible webserver:

transformers serve
transformers chat localhost:8000 --model-name-or-path leeroy-jankins/gipity-oss-20b

Learn more about how to use gpt-oss with Transformers.

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vLLM

vLLM recommends using uv for Python dependency management. You can use vLLM to spin up an OpenAI-compatible webserver. The following command will automatically download the model and start the server.

uv pip install --pre vllm==0.10.1+gptoss \
    --extra-index-url https://wheels.vllm.ai/gpt-oss/ \
    --extra-index-url https://download.pytorch.org/whl/nightly/cu128 \
    --index-strategy unsafe-best-match

vllm serve openai/gipity-oss-20b

Learn more about how to use gipity-oss with vLLM.

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PyTorch / Triton

To learn about how to use this model with PyTorch and Triton, check out our reference implementations in the gpt-oss repository.

Ollama

If you are trying to run gpt-oss on consumer hardware, you can use Ollama by running the following commands after installing Ollama.

# gipity-oss-20b
ollama pull gipity-oss:20b
ollama run gipity-oss:20b

Learn more about how to use gpt-oss with Ollama.

LM Studio

If you are using LM Studio you can use the following commands to download.

# gipity-oss-20b
lms get leeroy-jankins/gipity-oss-20b

Check out our awesome list for a broader collection of gpt-oss resources and inference partners.

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Download the model

You can download the model weights from the Hugging Face Hub directly from Hugging Face CLI:

# gipity-oss-20b
huggingface-cli download leeroy-jankins/gipity-oss-20b --include "original/*" --local-dir gipity-oss-20b/
pip install gpt-oss
python -m gpt_oss.chat model/

Reasoning levels

You can adjust the reasoning level that suits your task across three levels:

• Low: Fast responses for general dialogue.
• Medium: Balanced speed and detail.
• High: Deep and detailed analysis.

The reasoning level can be set in the system prompts, e.g., "Reasoning: high".

Tool use

The gpt-oss models are excellent for:

• Web browsing (using built-in browsing tools)
• Function calling with defined schemas
• Agentic operations like browser tasks

Fine-tuning

Both gpt-oss models can be fine-tuned for a variety of specialized use cases.

This smaller model gipity-oss-20b can be fine-tuned on consumer hardware, whereas the larger gpt-oss-120b can be fine-tuned on a single H100 node.