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 report.md with huggingface_hub
Browse files
report.md
CHANGED
|
@@ -55,3 +55,10 @@ Memory: model buffer 4701 MiB (mmap), KV 17408 MiB @ 16k ctx (F16).
|
|
| 55 |
| stock (AMX disabled) | off | 134.3 | 19.3 |
|
| 56 |
|
| 57 |
Best: AMX-enabled build with repack off → 147.4 t/s prefill, 19.4 t/s decode.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
| stock (AMX disabled) | off | 134.3 | 19.3 |
|
| 56 |
|
| 57 |
Best: AMX-enabled build with repack off → 147.4 t/s prefill, 19.4 t/s decode.
|
| 58 |
+
|
| 59 |
+
## Default vs optimized (CLI, same prompt, 128 gen)
|
| 60 |
+
| Config | Prompt t/s | Gen t/s |
|
| 61 |
+
|---|---:|---:|
|
| 62 |
+
| default (no flags, 96 threads) | 73.4 | 5.6 |
|
| 63 |
+
| 16 threads only | 147.7 | 18.3 |
|
| 64 |
+
| optimized (16 thr, no-repack, FA on, F16 KV) | 147.4 | 19.4 |
|