Instructions to use HelloSun/Experiment_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use HelloSun/Experiment_1 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 HelloSun/Experiment_1:Q4_K_M # Run inference directly in the terminal: llama cli -hf HelloSun/Experiment_1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf HelloSun/Experiment_1:Q4_K_M # Run inference directly in the terminal: llama cli -hf HelloSun/Experiment_1:Q4_K_M
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 HelloSun/Experiment_1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf HelloSun/Experiment_1:Q4_K_M
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 HelloSun/Experiment_1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf HelloSun/Experiment_1:Q4_K_M
Use Docker
docker model run hf.co/HelloSun/Experiment_1:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use HelloSun/Experiment_1 with Ollama:
ollama run hf.co/HelloSun/Experiment_1:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use HelloSun/Experiment_1 with Docker Model Runner:
docker model run hf.co/HelloSun/Experiment_1:Q4_K_M
- Lemonade
How to use HelloSun/Experiment_1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull HelloSun/Experiment_1:Q4_K_M
Run and chat with the model
lemonade run user.Experiment_1-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download opt/gen_opt.log from HelloSun/Experiment_1: direct link, hf CLI and curl.
- Browser
- Download file 1.98 kB
-
https://huggingface.co/HelloSun/Experiment_1/resolve/main/opt/gen_opt.log
- Command line
-
hf download hf://HelloSun/Experiment_1/opt/gen_opt.log
-
curl -L -o gen_opt.log https://huggingface.co/HelloSun/Experiment_1/resolve/main/opt/gen_opt.log
1.98 kB
| Loading model... |-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/-\|/ | |
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| build : b1-1268edac5 | |
| model : /root/app/verify/openpangu-vl-artifacts/openPangu-VL-7B-Q4_K_M.gguf | |
| ftype : Q4_K - Medium | |
| modalities : text | |
| available commands: | |
| /exit or Ctrl+C stop or exit | |
| /regen regenerate the last response | |
| /clear clear the chat history | |
| /read <file> add a text file | |
| /glob <pattern> add text files using globbing pattern | |
| > 請用中文簡短說明什麼是作業系統核心,並列出三個主要功能。 | |
| 作業系統核心(即作業系統的內核)是作業系統中最基本、最底層的模組,負責直接與硬體互動,管理系統資源並提供基本服務。它的三大主要功能包括: | |
| 1. **記憶體管理**:控制記憶體的分配與回收,確保各程式能安全、有效地使用記憶體資源。 | |
| 2. **硬體介接(Device Driver Interface)**:提供與硬體設備(如磁碟、顯示卡、鍵盤等)溝通的介面,讓軟體能透過驅動程式控制硬體。 | |
| 3. **多工與排程(Process Scheduling)**:管理程式的執行順序,決定哪個程式在什麼時候使用 CPU,以提高系統效率與資源 | |
| [ Prompt: 131.4 t/s | Generation: 27.2 t/s ] | |
| Exiting... | |