Instructions to use MinelaxieFR/calcyon-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use MinelaxieFR/calcyon-1b 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 MinelaxieFR/calcyon-1b:F16
# Run inference directly in the terminal:
llama cli -hf MinelaxieFR/calcyon-1b:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MinelaxieFR/calcyon-1b:F16
# Run inference directly in the terminal:
llama cli -hf MinelaxieFR/calcyon-1b:F16

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 MinelaxieFR/calcyon-1b:F16
# Run inference directly in the terminal:
./llama-cli -hf MinelaxieFR/calcyon-1b:F16

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 MinelaxieFR/calcyon-1b:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MinelaxieFR/calcyon-1b:F16

Use Docker

docker model run hf.co/MinelaxieFR/calcyon-1b:F16

LM Studio
Jan

vLLM

How to use MinelaxieFR/calcyon-1b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MinelaxieFR/calcyon-1b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MinelaxieFR/calcyon-1b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MinelaxieFR/calcyon-1b:F16

Ollama
How to use MinelaxieFR/calcyon-1b with Ollama:
```
ollama run hf.co/MinelaxieFR/calcyon-1b:F16
```
Unsloth Desktop
Docker Model Runner
How to use MinelaxieFR/calcyon-1b with Docker Model Runner:
```
docker model run hf.co/MinelaxieFR/calcyon-1b:F16
```

Lemonade

How to use MinelaxieFR/calcyon-1b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MinelaxieFR/calcyon-1b:F16

Run and chat with the model

lemonade run user.calcyon-1b-F16

List all available models

lemonade list

Atomic Chat
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

cALCYON-1B

Modele de langage francophone technique (1.152B parametres).

Architecture

LLaMA-style decoder, 22 couches, GQA 16/8 heads, SwiGLU
Tokenizer SentencePiece BPE 32k optimise francais
Contexte 8192 tokens, RoPE theta=500000

Domaines

Aeronautique, electricite/electrotechnique, hydraulique/hydroelectrique, developpement Python/C++, hardware, FPV, LiDAR

Prompt format (ChatML)

<|system|>
Tu es cALCYON.<|end|>
<|user|>
Question<|end|>
<|assistant|>

Entrainement

SFT LoRA r=32 sur Wikipedia-FR + OpenHermes-FR + donnees techniques. GPU : NVIDIA RTX 5080 16GB.

Usage LM Studio / Ollama

Telecharger calcyon-1b-q4_k_m.gguf (709 MB) et charger dans LM Studio ou Ollama.

Downloads last month: 33

Safetensors

Model size

1B params

Tensor type

BF16

Model tree for MinelaxieFR/calcyon-1b

Quantizations

1 model