ConflLlama collection
Collection
Llama 3.1 finetuned for various conflict tasks • 6 items • Updated
How to use shreyasmeher/ConflLlama-mid-2010 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("shreyasmeher/ConflLlama-mid-2010", dtype="auto")How to use shreyasmeher/ConflLlama-mid-2010 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="shreyasmeher/ConflLlama-mid-2010", filename="unsloth.Q8_0.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
How to use shreyasmeher/ConflLlama-mid-2010 with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf shreyasmeher/ConflLlama-mid-2010:Q8_0 # Run inference directly in the terminal: llama-cli -hf shreyasmeher/ConflLlama-mid-2010:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf shreyasmeher/ConflLlama-mid-2010:Q8_0 # Run inference directly in the terminal: llama-cli -hf shreyasmeher/ConflLlama-mid-2010:Q8_0
# 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 shreyasmeher/ConflLlama-mid-2010:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf shreyasmeher/ConflLlama-mid-2010:Q8_0
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 shreyasmeher/ConflLlama-mid-2010:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf shreyasmeher/ConflLlama-mid-2010:Q8_0
docker model run hf.co/shreyasmeher/ConflLlama-mid-2010:Q8_0
How to use shreyasmeher/ConflLlama-mid-2010 with Ollama:
ollama run hf.co/shreyasmeher/ConflLlama-mid-2010:Q8_0
How to use shreyasmeher/ConflLlama-mid-2010 with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for shreyasmeher/ConflLlama-mid-2010 to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for shreyasmeher/ConflLlama-mid-2010 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for shreyasmeher/ConflLlama-mid-2010 to start chatting
How to use shreyasmeher/ConflLlama-mid-2010 with Docker Model Runner:
docker model run hf.co/shreyasmeher/ConflLlama-mid-2010:Q8_0
How to use shreyasmeher/ConflLlama-mid-2010 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull shreyasmeher/ConflLlama-mid-2010:Q8_0
lemonade run user.ConflLlama-mid-2010-Q8_0
lemonade list
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
8-bit
Base model
meta-llama/Meta-Llama-3-8B