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
Upload opt/prof_decode.txt with huggingface_hub
Browse files- opt/prof_decode.txt +12 -0
opt/prof_decode.txt
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"avg_ts": 32.210311
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PROF total compute 3571.2 ms, barrier-wait 353.2 ms
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PROF ADD n= 26316 compute 34.30 ms barrier 18.01 ms (1.3 us/op compute, 0.7 us/op barrier)
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PROF RMS_NORM n= 8901 compute 0.35 ms barrier 3.25 ms (0.0 us/op compute, 0.4 us/op barrier)
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PROF GET_ROWS n= 387 compute 0.61 ms barrier 0.19 ms (1.6 us/op compute, 0.5 us/op barrier)
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PROF SET_ROWS n= 8772 compute 11.75 ms barrier 5.78 ms (1.3 us/op compute, 0.7 us/op barrier)
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PROF ROPE n= 8772 compute 12.65 ms barrier 22.85 ms (1.4 us/op compute, 2.6 us/op barrier)
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PROF FLASH_ATTN_EXT n= 4386 compute 82.19 ms barrier 13.96 ms (18.7 us/op compute, 3.2 us/op barrier)
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PROF GLU n= 4386 compute 40.82 ms barrier 3.01 ms (9.3 us/op compute, 0.7 us/op barrier)
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PROF MUL_MAT q4_K n= 26316 compute 2470.86 ms barrier 236.91 ms (93.9 us/op compute, 9.0 us/op barrier)
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PROF MUL_MAT q6_K n= 4515 compute 917.64 ms barrier 49.19 ms (203.2 us/op compute, 10.9 us/op barrier)
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PROF_DONE
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