theprint/Hemispheres_Left_v0.1_1.5k_alpaca
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How to use theprint/Hemispheres-7B-Left with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("theprint/Hemispheres-7B-Left", device_map="auto")How to use theprint/Hemispheres-7B-Left with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf theprint/Hemispheres-7B-Left:Q4_K_M # Run inference directly in the terminal: llama cli -hf theprint/Hemispheres-7B-Left:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf theprint/Hemispheres-7B-Left:Q4_K_M # Run inference directly in the terminal: llama cli -hf theprint/Hemispheres-7B-Left: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 theprint/Hemispheres-7B-Left:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf theprint/Hemispheres-7B-Left: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 theprint/Hemispheres-7B-Left:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf theprint/Hemispheres-7B-Left:Q4_K_M
docker model run hf.co/theprint/Hemispheres-7B-Left:Q4_K_M
How to use theprint/Hemispheres-7B-Left with Ollama:
ollama run hf.co/theprint/Hemispheres-7B-Left:Q4_K_M
How to use theprint/Hemispheres-7B-Left with Docker Model Runner:
docker model run hf.co/theprint/Hemispheres-7B-Left:Q4_K_M
How to use theprint/Hemispheres-7B-Left with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull theprint/Hemispheres-7B-Left:Q4_K_M
lemonade run user.Hemispheres-7B-Left-Q4_K_M
lemonade list
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf theprint/Hemispheres-7B-Left:# Run inference directly in the terminal:
llama cli -hf theprint/Hemispheres-7B-Left:# 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 theprint/Hemispheres-7B-Left:# Run inference directly in the terminal:
./llama-cli -hf theprint/Hemispheres-7B-Left: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 theprint/Hemispheres-7B-Left:# Run inference directly in the terminal:
./build/bin/llama-cli -hf theprint/Hemispheres-7B-Left:docker model run hf.co/theprint/Hemispheres-7B-Left:This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Base model
mistralai/Mistral-7B-v0.3
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf theprint/Hemispheres-7B-Left:# Run inference directly in the terminal: llama cli -hf theprint/Hemispheres-7B-Left: