How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF:# Run inference directly in the terminal:
llama cli -hf Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF: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 Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF:# Run inference directly in the terminal:
./llama-cli -hf Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF: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 Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF:Use Docker
docker model run hf.co/Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF:Quick Links
L3.3-70B-Animus-V4-Final-GGUF
GGUF model files for L3.3-70B-Animus-V4-Final.
This repository contains GGUF models quantized using llama.cpp.
- Base Model:
L3.3-70B-Animus-V4-Final - Quantization Methods Processed in this Job:
IQ3_XS,IQ3_XXS,Q2_K_S,IQ2_M,IQ2_S,IQ2_XS,IQ2_XXS,IQ1_M - Importance Matrix Used: Yes
This specific upload is for the IQ1_M quantization.
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Model tree for Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF
Base model
meta-llama/Llama-3.1-70B Finetuned
meta-llama/Llama-3.3-70B-Instruct Finetuned
Darkhn/L3.3-70B-Animus-V4-Final
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF:# Run inference directly in the terminal: llama cli -hf Darkhn-Quants/L3.3-70B-Animus-V4-Final-GGUF: