argilla/distilabel-intel-orca-dpo-pairs
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How to use sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
# 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 sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
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 sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
docker model run hf.co/sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
How to use sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF with Ollama:
ollama run hf.co/sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
How to use sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
How to use sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF:Q4_K_M
lemonade run user.TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF-Q4_K_M
lemonade list
This model was converted to GGUF format from davanstrien/TinyLlama-1.1B-Chat-v1.0-intel-dpo using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF --model tinyllama-1.1b-chat-v1.0-intel-dpo.Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF --model tinyllama-1.1b-chat-v1.0-intel-dpo.Q4_K_M.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m tinyllama-1.1b-chat-v1.0-intel-dpo.Q4_K_M.gguf -n 128
4-bit
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0