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lemon07r
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Lllama-3-RedMagic4-8B-Q8_0-GGUF

Transformers
GGUF
mergekit
Merge
Model card Files
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How to use from
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 lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
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 lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
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 lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
Use Docker 
docker model run hf.co/lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF:Q8_0
Quick Links

Lllama-3-RedMagic4-8B-Q8_0-GGUF

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using NousResearch/Meta-Llama-3-8B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 32]
    model: lemon07r/Llama-3-RedMagic2-8B
  - layer_range: [0, 32]
    model: lemon07r/Lllama-3-RedElixir-8B
  - layer_range: [0, 32]
    model: nbeerbower/llama-3-spicy-abliterated-stella-8B
  - layer_range: [0, 32]
    model: flammenai/Mahou-1.2-llama3-8B
  - layer_range: [0, 32]
    model: NousResearch/Meta-Llama-3-8B
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GGUF
Model size
8B params
Architecture
llama
Hardware compatibility
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8-bit

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Model tree for lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF

NousResearch/Meta-Llama-3-8B
flammenai/Mahou-1.2-llama3-8B
lemon07r/Llama-3-RedMagic2-8B
lemon07r/Lllama-3-RedElixir-8B
nbeerbower/llama-3-spicy-abliterated-stella-8B
Merge model
this model

Paper for lemon07r/Lllama-3-RedMagic4-8B-Q8_0-GGUF