Instructions to use AOSSIE/OpenVerifiableLLM-23M 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 AOSSIE/OpenVerifiableLLM-23M 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 AOSSIE/OpenVerifiableLLM-23M:F32 # Run inference directly in the terminal: llama cli -hf AOSSIE/OpenVerifiableLLM-23M:F32
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AOSSIE/OpenVerifiableLLM-23M:F32 # Run inference directly in the terminal: llama cli -hf AOSSIE/OpenVerifiableLLM-23M:F32
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf AOSSIE/OpenVerifiableLLM-23M:F32 # Run inference directly in the terminal: ./build/bin/llama cli -hf AOSSIE/OpenVerifiableLLM-23M:F32
Use Docker
docker model run hf.co/AOSSIE/OpenVerifiableLLM-23M:F32
- Llama new
- LM Studio
- Jan
- vLLM
How to use AOSSIE/OpenVerifiableLLM-23M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AOSSIE/OpenVerifiableLLM-23M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AOSSIE/OpenVerifiableLLM-23M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AOSSIE/OpenVerifiableLLM-23M:F32
- Ollama
How to use AOSSIE/OpenVerifiableLLM-23M with Ollama:
ollama run hf.co/AOSSIE/OpenVerifiableLLM-23M:F32
- Unsloth Desktop
- Docker Model Runner
How to use AOSSIE/OpenVerifiableLLM-23M with Docker Model Runner:
docker model run hf.co/AOSSIE/OpenVerifiableLLM-23M:F32
- Lemonade
How to use AOSSIE/OpenVerifiableLLM-23M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AOSSIE/OpenVerifiableLLM-23M:F32
Run and chat with the model
lemonade run user.OpenVerifiableLLM-23M-F32
List all available models
lemonade list
- Atomic Chat
Download recipe.json from AOSSIE/OpenVerifiableLLM-23M: direct link, hf CLI and curl.
- Browser
- Download file 458 Bytes
-
https://huggingface.co/AOSSIE/OpenVerifiableLLM-23M/resolve/main/recipe.json
- Command line
-
hf download hf://AOSSIE/OpenVerifiableLLM-23M/recipe.json
-
curl -L -o recipe.json https://huggingface.co/AOSSIE/OpenVerifiableLLM-23M/resolve/main/recipe.json
458 Bytes
| { | |
| "batch_size": 32, | |
| "boundary_every": 18080, | |
| "context": 512, | |
| "conversation_epochs": 3, | |
| "init": "normal-0.02-tied-v1", | |
| "model": { | |
| "attn_impl": "manual", | |
| "dropout": 0, | |
| "embed_dim": 384, | |
| "max_seq_len": 512, | |
| "num_heads": 6, | |
| "num_layers": 6, | |
| "vocab_size": 32000 | |
| }, | |
| "schedule": { | |
| "conversation": "0.0001", | |
| "floor": "0.00006", | |
| "peak": "0.0006", | |
| "warmup": 2000, | |
| "wikipedia_updates": 560177 | |
| }, | |
| "seed": 1234, | |
| "weight_decay": "0.01" | |
| } |