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
- llama.cpp
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
Download release.json from whisperstream/stream-1-mini: direct link, hf CLI and curl.
- Browser
- Download file 998 Bytes
-
https://huggingface.co/whisperstream/stream-1-mini/resolve/main/release.json
- Command line
-
hf download hf://whisperstream/stream-1-mini/release.json
-
curl -L -o release.json https://huggingface.co/whisperstream/stream-1-mini/resolve/main/release.json
998 Bytes
| { | |
| "candidate": "balanced-seed23-terminal648", | |
| "previous_hub_revision": "7a7b7101f8fe056fb7db978dca58eff839d6f58e", | |
| "q4_sha256": "32bef61bdbc98787ac278d96a2aad120a9fc61f588f1f0a4746441e9d6d89ae7", | |
| "f16_sha256": "79ec0a69386ef593bdea5f120fdd4201298d09efaac7a6aafffdb4ee615a2cdf", | |
| "prompt_sha256": { | |
| "chat": "3555c01ea0594a448603b61d6b08c5bb425e99fb0b5ac43f2a13a2c08bdd1f90", | |
| "email": "4d89ee2930d7c2e2479b9b7ae472fc65919fde500ea915206b87f802f2fe2bad" | |
| }, | |
| "decoder": { | |
| "temperature": 0, | |
| "top_k": 1, | |
| "top_p": 1, | |
| "repeat_penalty": 1, | |
| "max_tokens": 512, | |
| "cache_prompt": true, | |
| "chat_template_kwargs": { | |
| "enable_thinking": false | |
| } | |
| }, | |
| "vocabulary_helper_sha256": "bd8c22d94aee081406847ee84ece27578cc7a3e57a7c0d8387600149b90a589d", | |
| "full_observed_regression_requests": 3409, | |
| "fresh_confirmation_performed": false, | |
| "fresh_confirmation_waived": true, | |
| "known_regressions_and_unresolved_judgments_retained": true | |
| } | |