How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4", dtype="auto")
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4", filename="Tifa-Deepsex-14b-CoT-Chat-IQ4_NL.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL # Run inference directly in the terminal: llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL # Run inference directly in the terminal: llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
# 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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL # Run inference directly in the terminal: ./llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL # Run inference directly in the terminal: ./build/bin/llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
docker model run hf.co/ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Ollama:
ollama run hf.co/ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 to start chatting
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Docker Model Runner:
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
lemonade run user.Tifa-Deepsex-14b-CoT-GGUF-Q4-IQ4_NL
lemonade list
我是4060ti 8G
7840核显可以跑
可以，我是4060 8GB， 差不多5~10 tokens
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