Instructions to use ChapAF/intent-0.1-0.5b 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 ChapAF/intent-0.1-0.5b 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 ChapAF/intent-0.1-0.5b:F16 # Run inference directly in the terminal: llama cli -hf ChapAF/intent-0.1-0.5b:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ChapAF/intent-0.1-0.5b:F16 # Run inference directly in the terminal: llama cli -hf ChapAF/intent-0.1-0.5b:F16
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 ChapAF/intent-0.1-0.5b:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf ChapAF/intent-0.1-0.5b:F16
Use Docker
docker model run hf.co/ChapAF/intent-0.1-0.5b:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use ChapAF/intent-0.1-0.5b with Ollama:
ollama run hf.co/ChapAF/intent-0.1-0.5b:F16
- Unsloth Desktop
- Docker Model Runner
How to use ChapAF/intent-0.1-0.5b with Docker Model Runner:
docker model run hf.co/ChapAF/intent-0.1-0.5b:F16
- Lemonade
How to use ChapAF/intent-0.1-0.5b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ChapAF/intent-0.1-0.5b:F16
Run and chat with the model
lemonade run user.intent-0.1-0.5b-F16
List all available models
lemonade list
- Atomic Chat
Download checkpoint_metadata.json from ChapAF/intent-0.1-0.5b: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/ChapAF/intent-0.1-0.5b/resolve/main/checkpoint_metadata.json
- Command line
-
hf download hf://ChapAF/intent-0.1-0.5b/checkpoint_metadata.json
-
curl -L -o checkpoint_metadata.json https://huggingface.co/ChapAF/intent-0.1-0.5b/resolve/main/checkpoint_metadata.json
1.02 kB
| { | |
| "format": "custom_pretraining_gpt_safetensors", | |
| "created_at_utc": "2026-10-05T00:31:06.308156+00:00", | |
| "source_checkpoint": "/workspace/pretraining/outputs/checkpoints/sft-5b-v3/latest.pt", | |
| "source_config": "/workspace/pretraining/configs/decoder_sft_5b.json", | |
| "repo_id": "ChapAF/intent-0.1-0.5b", | |
| "tokenizer_name": "meta-llama/Llama-2-7b-chat-hf", | |
| "tokenizer_class": "LlamaTokenizer", | |
| "tokenizer_is_fast": true, | |
| "parameter_count": 455933952, | |
| "tensor_count": 98, | |
| "thinking_default": false, | |
| "thinking_opt_in": "prepend <think> and request reasoning explicitly", | |
| "checkpoint_scalars": { | |
| "optimizer_sharded": true, | |
| "step": 15852, | |
| "seen_tokens": 6363521024, | |
| "tokens_per_step": 401408 | |
| }, | |
| "gguf": { | |
| "file": "model-f16.gguf", | |
| "format": "GGUF", | |
| "architecture": "arcee", | |
| "output_type": "f16", | |
| "llama_cpp_compatible": true, | |
| "exact_architecture": false, | |
| "approximation": "Q/K RMSNorm is omitted because the upstream Arcee graph does not support it" | |
| } | |
| } | |