- Libraries
- Transformers
How to use ayushrupapara/llama3_8b_flanv2_cot with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="ayushrupapara/llama3_8b_flanv2_cot") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ayushrupapara/llama3_8b_flanv2_cot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ayushrupapara/llama3_8b_flanv2_cot 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 ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
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 ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
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 ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
Use Docker
docker model run hf.co/ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use ayushrupapara/llama3_8b_flanv2_cot with Ollama:
ollama run hf.co/ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use ayushrupapara/llama3_8b_flanv2_cot with Docker Model Runner:
docker model run hf.co/ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
- Lemonade
How to use ayushrupapara/llama3_8b_flanv2_cot with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull ayushrupapara/llama3_8b_flanv2_cot:Q4_K_M
Run and chat with the model
lemonade run user.llama3_8b_flanv2_cot-Q4_K_M
List all available models
lemonade list
- Atomic Chat
