How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF:# Run inference directly in the terminal:
llama-cli -hf starble-dev/Meta-Llama-3.1-8B-Instruct-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 starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF:# Run inference directly in the terminal:
./llama-cli -hf starble-dev/Meta-Llama-3.1-8B-Instruct-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 starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF:Use Docker
docker model run hf.co/starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF:Quick Links
NOTICE:
Llama-3.1 is licensed under Llama 3.1 Community License
A copy of this license is available at this repo, here
Original Model: meta-llama/Meta-Llama-3.1-8B-Instruct
How to Use: llama.cpp
Original Model License: Llama 3.1 Community License
Release Used: b3441
Quants
| Name | Quant Type | Size |
|---|---|---|
| Meta-Llama-3.1-8B-Instruct-Q2_K.gguf | Q2_K | 3.18 GB |
| Meta-Llama-3.1-8B-Instruct-Q3_K_S.gguf | Q3_K_S | 3.66 GB |
| Meta-Llama-3.1-8B-Instruct-Q3_K_M.gguf | Q3_K_M | 4.02 GB |
| Meta-Llama-3.1-8B-Instruct-Q3_K_L.gguf | Q3_K_L | 4.32 GB |
| Meta-Llama-3.1-8B-Instruct-Q4_K_S.gguf | Q4_K_S | 4.69 GB |
| Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf | Q4_K_M | 4.92 GB |
| Meta-Llama-3.1-8B-Instruct-Q5_K_S.gguf | Q5_K_S | 5.60 GB |
| Meta-Llama-3.1-8B-Instruct-Q5_K_M.gguf | Q5_K_M | 5.73 GB |
| Meta-Llama-3.1-8B-Instruct-Q6_K.gguf | Q6_K | 6.60 GB |
| Meta-Llama-3.1-8B-Instruct-Q8_0.gguf | Q8_0 | 8.54 GB |
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Model tree for starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF:# Run inference directly in the terminal: llama-cli -hf starble-dev/Meta-Llama-3.1-8B-Instruct-GGUF: