Instructions to use whisperstream/stream-1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use whisperstream/stream-1-mini 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 whisperstream/stream-1-mini:F16
# Run inference directly in the terminal:
llama cli -hf whisperstream/stream-1-mini:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf whisperstream/stream-1-mini:F16
# Run inference directly in the terminal:
llama cli -hf whisperstream/stream-1-mini: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 whisperstream/stream-1-mini:F16
# Run inference directly in the terminal:
./llama-cli -hf whisperstream/stream-1-mini: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 whisperstream/stream-1-mini:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf whisperstream/stream-1-mini:F16

Use Docker

docker model run hf.co/whisperstream/stream-1-mini:F16

Llama new
LM Studio
Jan

vLLM

How to use whisperstream/stream-1-mini with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "whisperstream/stream-1-mini"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "whisperstream/stream-1-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/whisperstream/stream-1-mini:F16

Ollama
How to use whisperstream/stream-1-mini with Ollama:
```
ollama run hf.co/whisperstream/stream-1-mini:F16
```
Unsloth Desktop
Docker Model Runner
How to use whisperstream/stream-1-mini with Docker Model Runner:
```
docker model run hf.co/whisperstream/stream-1-mini:F16
```

Lemonade

How to use whisperstream/stream-1-mini with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull whisperstream/stream-1-mini:F16

Run and chat with the model

lemonade run user.stream-1-mini-F16

List all available models

lemonade list

Atomic Chat

stream-1-mini / generation_config.json

lanreal-io

Publish Stream-1 Mini FP32, F16 and Q4_K_M

8a26b93 verified 9 days ago

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169 Bytes

{
  "bos_token_id": 151643,
  "do_sample": false,
  "eos_token_id": [
    151643,
    151645
  ],
  "max_new_tokens": 512,
  "transformers_version": "5.5.0"
}

	{
	"bos_token_id": 151643,
	"do_sample": false,
	"eos_token_id": [
	151643,
	151645
	],
	"max_new_tokens": 512,
	"transformers_version": "5.5.0"
	}