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/kbench_prefetch_chunk.txt from HelloSun/Experiment_1: direct link, hf CLI and curl.
- Browser
- Download file 1.04 kB
-
https://huggingface.co/HelloSun/Experiment_1/resolve/main/opt/kbench_prefetch_chunk.txt
- Command line
-
hf download hf://HelloSun/Experiment_1/opt/kbench_prefetch_chunk.txt
-
curl -L -o kbench_prefetch_chunk.txt https://huggingface.co/HelloSun/Experiment_1/resolve/main/opt/kbench_prefetch_chunk.txt
1.04 kB
| L1-resident compute: 9.93 ns/block (14.5 GB/s per core if memory were free) [-3.66508e+08] | |
| v1 pf= 0 chunk= 16 : 101.3 GB/s | |
| v1 pf= 0 chunk= 32 : 103.1 GB/s | |
| v1 pf= 0 chunk= 64 : 104.8 GB/s | |
| v1 pf= 0 chunk=128 : 100.3 GB/s | |
| v1 pf= 4 chunk= 16 : 120.9 GB/s | |
| v1 pf= 4 chunk= 32 : 124.6 GB/s | |
| v1 pf= 4 chunk= 64 : 124.2 GB/s | |
| v1 pf= 4 chunk=128 : 117.8 GB/s | |
| v1 pf= 8 chunk= 16 : 131.0 GB/s | |
| v1 pf= 8 chunk= 32 : 138.9 GB/s | |
| v1 pf= 8 chunk= 64 : 141.4 GB/s | |
| v1 pf= 8 chunk=128 : 135.0 GB/s | |
| v1 pf=16 chunk= 16 : 147.0 GB/s | |
| v1 pf=16 chunk= 32 : 159.7 GB/s | |
| v1 pf=16 chunk= 64 : 163.8 GB/s | |
| v1 pf=16 chunk=128 : 157.7 GB/s | |
| v1 pf=32 chunk= 16 : 152.4 GB/s | |
| v1 pf=32 chunk= 32 : 166.8 GB/s | |
| v1 pf=32 chunk= 64 : 174.8 GB/s | |
| v1 pf=32 chunk=128 : 169.1 GB/s | |
| rawread pf= 0 chunk= 16 : 183.3 GB/s | |
| rawread pf= 0 chunk= 32 : 181.1 GB/s | |
| rawread pf= 0 chunk= 64 : 196.7 GB/s | |
| rawread pf= 0 chunk=128 : 194.8 GB/s | |
| KB_DONE | |