Image-Text-to-Text
Transformers
GGUF
English
qwen3_5
qwen3.8-froggeric-v22.4
qwen3_5_text
conversational
q4nx
npu2
oflm
openflowlm
qwen3.8-distilled
reasoning
Instructions to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Atomic-Germ/Qwen3.8-Distilled-2B-NPU2") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Atomic-Germ/Qwen3.8-Distilled-2B-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 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 Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0 # Run inference directly in the terminal: llama cli -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0 # Run inference directly in the terminal: llama cli -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: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 Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: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 Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
Use Docker
docker model run hf.co/Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
- LM Studio
- Jan
- vLLM
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
- SGLang
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Ollama
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with Ollama:
ollama run hf.co/Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
- Unsloth Desktop
- Pi
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: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": "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with Docker Model Runner:
docker model run hf.co/Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
- Lemonade
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
Run and chat with the model
lemonade run user.Qwen3.8-Distilled-2B-NPU2-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: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 Atomic-Germ/Qwen3.8-Distilled-2B-NPU2:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Atomic-Germ/Qwen3.8-Distilled-2B-NPU2 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: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 "Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: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"
Download llm_results_v1.0.1.csv from Atomic-Germ/Qwen3.8-Distilled-2B-NPU2: direct link, hf CLI and curl.
- Browser
- Download file 5.54 kB
-
https://huggingface.co/Atomic-Germ/Qwen3.8-Distilled-2B-NPU2/resolve/main/llm_results_v1.0.1.csv
- Command line
-
hf download hf://Atomic-Germ/Qwen3.8-Distilled-2B-NPU2/llm_results_v1.0.1.csv
-
curl -L -o llm_results_v1.0.1.csv https://huggingface.co/Atomic-Germ/Qwen3.8-Distilled-2B-NPU2/resolve/main/llm_results_v1.0.1.csv
5.54 kB
| Model,Mode,Input,Reasoning Content,Output Content | |
| qwen3.8-distilled:2b,Stream,Teach me Maxwell's equations.,N/A,"# Maxwell's Equations | |
| Maxwell's equations are the four fundamental laws of classical electromagnetism. They describe how electric and magnetic fields interact with charges, currents, and space itself. | |
| ## The Four Maxwell's Equations (in SI Units) | |
| ### 1. Gauss's Law for Electricity | |
| $$\nabla \cdot \mathbf{E} = \frac{\rho}{\varepsilon_0}$$ | |
| **Physical meaning:** Electric field lines originate from positive charges and terminate on negative charges. The divergence of the electric field equals the charge density divided by permittivity. | |
| ### 2. Gauss's Law for Magnetism | |
| $$\nabla \cdot \mathbf{B} = 0$$ | |
| **Physical meaning:** Magnetic monopoles do not exist — magnetic field lines always form closed loops with no beginning or end point. The divergence of the B-field is zero everywhere. | |
| ### 3. Faraday's Law of Induction | |
| $$\nabla \times \mathbf{E} = -\frac{\partial \mathbf{B}}{\partial t}$$ | |
| **Physical meaning:** A changing magnetic field induces a circulating electric field (electromagnetic induction). This is the principle behind generators, transformers, and wireless charging. | |
| ### 4. Ampère's Law (with Maxwell's correction) | |
| $$\nabla \times \mathbf{B} = \mu_0\left(\mathbf{J} + \varepsilon_0\frac{\partial \mathbf{E}}{\partial t}\right)$$ | |
| **Physical meaning:** A current produces a magnetic field, and a changing electric field also produces a magnetic field. The term $\varepsilon_0\frac{\partial \mathbf{E}}{\partial t}$ is the Maxwell correction that accounts for displacement current — it completes the symmetry of the equations by making them consistent with special relativity. | |
| ## Summary Table | |
| | # | Equation | Name | | |
| |--|----------|------| | |
| | 1 | $\nabla \cdot \mathbf{E} = \rho/\varepsilon_0$ | Gauss's Law (Electric) | | |
| | 2 | $\nabla \cdot \mathbf{B} = 0$ | Gauss's Law (Magnetic) / No Monopoles | | |
| | 3 | $\nabla \times \mathbf{E} = -\partial\mathbf{B}/\partial t$ | Faraday's Law of Induction | | |
| | 4 | $\nabla \times \mathbf{B} = \mu_0(\mathbf{J} + \varepsilon_0\partial\mathbf{E}/\partial t)$ | Ampère's Law (with Displacement Current) | | |
| ## Key Insight | |
| The fourth equation is what makes Maxwell's equations complete. Without it, the theory would be inconsistent with relativity — a changing electric field alone cannot produce a magnetic field. The inclusion of displacement current restores symmetry and allows for the existence of electromagnetic waves propagating at speed $c = 1/\sqrt{\varepsilon_0\mu_0}$." | |
| qwen3.8-distilled:2b,Stream,Explain why they are important.,N/A,"# Why Maxwell's Equations Are Important | |
| Maxwell's equations are not just one equation — they are a **unified framework** that describes how electricity, magnetism, and light all behave. Here’s why they matter: | |
| --- | |
| ## 1. They Unify Electricity and Magnetism | |
| Before Maxwell (and before him), physics treated electric and magnetic phenomena as separate forces with no clear connection. Maxwell showed that: | |
| - **Electric fields** can create **magnetic fields** when charges move (current). | |
| - **Changing magnetic fields** create **electric fields**. | |
| This was the first time two seemingly unrelated phenomena were shown to be part of a single, coherent system. | |
| --- | |
| ## 2. They Predicted Electromagnetic Waves — and Light! | |
| The combination of Faraday’s law and Ampère’s law (with Maxwell’s correction) leads directly to: | |
| $$\nabla \times (\nabla \times \mathbf{E}) = -\frac{\partial}{\partial t}(\nabla \times \mathbf{B}) + \mu_0\varepsilon_0\frac{\partial^2\mathbf{E}}{\partial t^2}$$ | |
| This reduces to the **wave equation**, showing that electromagnetic disturbances propagate at a finite speed — $c = 1/\sqrt{\varepsilon_0\mu_0}$, which is exactly the speed of light. This was one of the great triumphs: it explained why light *is* an electromagnetic wave. | |
| --- | |
| ## 3. They Formed the Foundation of Modern Technology | |
| - **Electronics**: Transistors (built on semiconductor physics derived from quantum mechanics and Maxwell’s equations) are at the heart of all modern computing, smartphones, and processors. | |
| - **Telecommunications**: Radio waves, Wi-Fi, Bluetooth — all rely on propagating electromagnetic fields described by Maxwell’s equations. | |
| - **Medical imaging**: MRI machines use principles related to magnetic field interactions with tissue (a direct application of magnetism). | |
| --- | |
| ## 4. They Are the Basis for Relativity | |
| The speed $c$ appearing in Maxwell’s equations is a universal constant, not just an arbitrary choice. This led Einstein to develop special relativity — showing that space and time are not absolute but relative to the observer’s frame of reference. Without Maxwell’s equations, there would be no natural way to define “speed” or “simultaneity.” | |
| --- | |
| ## 5. They Are a Mathematical Model | |
| Maxwell’s equations describe how fields behave in vacuum — they don’t require matter. This makes them powerful tools for: | |
| - Simulating electromagnetic phenomena without physical objects (e.g., computer graphics, fluid dynamics analogies). | |
| - Understanding the fundamental structure of nature at its most abstract level. | |
| --- | |
| ## In Summary | |
| Maxwell’s equations are important because they **explain how electricity and magnetism work together**, **predict light as an electromagnetic wave**, **form the basis of modern electronics and communication**, and provide a framework that connects physics, chemistry, biology, and engineering in profound ways." | |