Instructions to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0
# Run inference directly in the terminal:
llama cli -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0
# Run inference directly in the terminal:
llama cli -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Use Docker

docker model run hf.co/Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

LM Studio
Jan

vLLM

How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Ollama
How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with Ollama:
```
ollama run hf.co/Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0
```
Unsloth Desktop

How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with Docker Model Runner:
```
docker model run hf.co/Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0
```

Lemonade

How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Run and chat with the model

lemonade run user.qwen2.5-3b-buildeng-GGUF-Q8_0-Q8_0

List all available models

lemonade list

Hermes Agent

How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0:Q8_0" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

BuildEng V8 3B — GGUF Q8_0

BuildEng V8 3B GGUF Q8_0 is a high-quality quantized GGUF release of BuildEng V8 3B, a domain-specialized language model focused on civil engineering, structural reasoning, construction workflows, and conservative engineering-assistant behavior.

This release is quantized from:

Irfanuruchi/qwen2.5-3b-buildeng

The BuildEng V8 3B source model is fine-tuned from:

Qwen/Qwen2.5-3B-Instruct

Improved using Qwen.

Model Information

Property	Value
Model	BuildEng V8 3B
Format	GGUF
Quantization	Q8_0
BuildEng source model	`Irfanuruchi/qwen2.5-3b-buildeng`
Upstream model	`Qwen/Qwen2.5-3B-Instruct`
Domain	Civil and structural engineering
Primary use	High-quality local engineering-assistant inference

The Q8_0 release is intended for users who want a high-quality quantized BuildEng model while reducing storage and memory requirements compared with the F16 GGUF release.

Focus Areas

BuildEng is designed around civil, structural, and construction-engineering workflows including:

reinforced concrete
masonry
foundations and settlement
retaining walls
slabs, beams, and columns
structural diagnostics
building defects and pathology
renovation and existing-structure uncertainty
temporary works
construction sequencing
structural inspection guidance
inspection-first reasoning
conservative engineering recommendations

BuildEng is designed to function as an engineering assistant and to avoid presenting uncertain conclusions as established facts when important project information is missing.

Why This Version?

The GGUF Q8_0 release is intended for users who want strong model fidelity while still benefiting from quantization.

Key characteristics include:

higher numerical precision than the Q4_K_M release
substantially lower storage and memory requirements than F16
strong preservation of the BuildEng V8 3B fine-tuned behavior
suitable for quality-focused local inference
compatibility with GGUF-capable inference runtimes such as llama.cpp

For users who prioritize minimum memory use and smaller model size, the Q4_K_M release is available separately. For users who want the highest-precision GGUF representation, the F16 release is also available.

BuildEng Model Family

Release	Repository
Flagship 3B	`Irfanuruchi/qwen2.5-3b-buildeng`
GGUF Q4_K_M	`Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q4_K_M`
GGUF Q8_0	`Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0`
GGUF F16	`Irfanuruchi/qwen2.5-3b-buildeng-GGUF-F16`
MLX 4-bit	`Irfanuruchi/qwen2.5-3b-buildeng-mlx-4bit`
MLX 8-bit	`Irfanuruchi/qwen2.5-3b-buildeng-mlx-8bit`
OpenVINO INT8	`Irfanuruchi/qwen2.5-3b-buildeng-openvino-int8`
OpenVINO FP16	`Irfanuruchi/qwen2.5-3b-buildeng-openvino-fp16`

Training Dataset

Irfanuruchi/buildeng-v8-3b

License and Commercial Use

BuildEng V8 3B is derived from Qwen/Qwen2.5-3B-Instruct.

The upstream Qwen2.5-3B-Instruct model is distributed under the Qwen Research License Agreement, and the applicable upstream licensing terms continue to apply to this derivative release.

Under the Qwen Research License Agreement, the default license grant covering use, reproduction, distribution, modification, and creation of derivative works is limited to non-commercial research and evaluation purposes.

Commercial use of the upstream Qwen materials requires requesting the appropriate license from Alibaba Cloud.

The Apache-2.0 licenses applicable to some other BuildEng model families therefore must not be interpreted as granting Apache-2.0 rights over the upstream Qwen2.5-3B materials incorporated into this release.

A copy of the Qwen Research License Agreement is included in this repository as:

LICENSE

The required Qwen attribution and information concerning this modified BuildEng derivative are included in:

NOTICE

Qwen Attribution

Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved.

Improved using Qwen.

Commercial BuildEng Alternatives

For deployments that require a BuildEng model derived from an upstream Apache-2.0-licensed model, separate BuildEng variants based on Qwen2.5-1.5B and Qwen2.5-32B are available.

Users should review the applicable license files and ensure that their intended use and redistribution comply with those terms.

Engineering Use Notice

BuildEng is an engineering-assistant model and is not a substitute for professional engineering judgment.

Model output should not be treated as:

final structural approval
construction authorization
engineering certification or sign-off
a substitute for calculations required by applicable codes or standards
a substitute for inspection of actual site conditions
a replacement for review by a qualified or licensed engineer where required

Engineering decisions should be independently verified using appropriate calculations, standards, drawings, site information, project-specific constraints, and professional review. Q

Modifications and Model Lineage

This repository contains a Q8_0 quantized GGUF derivative of the fine-tuned BuildEng V8 3B model.

Model lineage:

Qwen/Qwen2.5-3B-Instruct ↓ Irfanuruchi/qwen2.5-3b-buildeng ↓ Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0

The first stage represents the upstream Qwen model. The second stage represents the BuildEng V8 3B domain fine-tune. The final stage represents the Q8_0 GGUF quantization distributed in this repository.

BuildEng-specific fine-tuning, engineering specialization, dataset development, evaluation, documentation, and related project contributions were produced by Irfan Uruchi.

Author

Irfan Uruchi BuildEng Project

Downloads last month: 70

GGUF

Model size

3B params

Architecture

qwen2

Hardware compatibility

8-bit

Model tree for Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0

Base model

Qwen/Qwen2.5-3B

Finetuned

Qwen/Qwen2.5-3B-Instruct

Finetuned

(1542)

this model

Irfanuruchi
/

qwen2.5-3b-buildeng-GGUF-Q8_0

BuildEng V8 3B — GGUF Q8_0

Model Information

Focus Areas

Why This Version?

BuildEng Model Family

Training Dataset

License and Commercial Use

Qwen Attribution

Commercial BuildEng Alternatives

Engineering Use Notice

Modifications and Model Lineage

Author

Model tree for Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0

Dataset used to train Irfanuruchi/qwen2.5-3b-buildeng-GGUF-Q8_0