Instructions to use dumplingai/tinyteacher 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 dumplingai/tinyteacher 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 dumplingai/tinyteacher # Run inference directly in the terminal: llama cli -hf dumplingai/tinyteacher
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf dumplingai/tinyteacher # Run inference directly in the terminal: llama cli -hf dumplingai/tinyteacher
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 dumplingai/tinyteacher # Run inference directly in the terminal: ./build/bin/llama cli -hf dumplingai/tinyteacher
Use Docker
docker model run hf.co/dumplingai/tinyteacher
- Llama new
- LM Studio
- Jan
- Ollama
How to use dumplingai/tinyteacher with Ollama:
ollama run hf.co/dumplingai/tinyteacher
- Unsloth Desktop
- Docker Model Runner
How to use dumplingai/tinyteacher with Docker Model Runner:
docker model run hf.co/dumplingai/tinyteacher
- Lemonade
How to use dumplingai/tinyteacher with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dumplingai/tinyteacher
Run and chat with the model
lemonade run user.tinyteacher-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 521 Bytes
36b9cea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"architectures": [ "LlamaForCausalLM" ],
"bos_token_id": 1,
"eos_token_id": 2,
"pad_token_id": 0,
"hidden_act": "silu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 1024,
"model_type": "llama",
"num_attention_heads": 24,
"num_hidden_layers": 6,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-05,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.35.2",
"use_cache": true,
"vocab_size": 32000
}
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