Instructions to use Remek/basal-1.5-4.5B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Remek/basal-1.5-4.5B-GGUF 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 Remek/basal-1.5-4.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Remek/basal-1.5-4.5B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Remek/basal-1.5-4.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Remek/basal-1.5-4.5B-GGUF: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 Remek/basal-1.5-4.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Remek/basal-1.5-4.5B-GGUF: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 Remek/basal-1.5-4.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Remek/basal-1.5-4.5B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Remek/basal-1.5-4.5B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Remek/basal-1.5-4.5B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Remek/basal-1.5-4.5B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Remek/basal-1.5-4.5B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Remek/basal-1.5-4.5B-GGUF:Q4_K_M

Ollama
How to use Remek/basal-1.5-4.5B-GGUF with Ollama:
```
ollama run hf.co/Remek/basal-1.5-4.5B-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Remek/basal-1.5-4.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/Remek/basal-1.5-4.5B-GGUF:Q4_K_M
```

Lemonade

How to use Remek/basal-1.5-4.5B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Remek/basal-1.5-4.5B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.basal-1.5-4.5B-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

basal-1.5-4.5B-GGUF / Modelfile.Q4_K_M

Remek

basal-1.5-4.5B-GGUF: export (draft, private)

2764aee verified 14 days ago

Raw History Blame Contribute Delete

643 Bytes

	# basal (basal-1.5-4.5B, Q4_K_M) for Ollama. basal is a typed-decision model, not a chat model: the basal engine
	# (basal-serve --mode ollama --ollama-model basal-1.5-4.5b:q4_k_m --model <this folder or its Hugging Face repo>) renders the prompt
	# with the model's own template and answer prefill, sends it with "raw": true and reads the log-probabilities of the
	# option letters of ONE generated token (logprobs / top_logprobs). The template below only passes the prompt through.
	FROM ./basal-1.5-4.5B-Q4_K_M.gguf
	TEMPLATE """{{ .Prompt }}"""
	PARAMETER temperature 0
	PARAMETER num_predict 1
	PARAMETER num_ctx 4096
	PARAMETER stop "<\|im_end\|>"