Transformers
GGUF
English
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
lex-hue/Delexa-7b
allknowingroger/MultiverseEx26-7B-slerp
imatrix
Instructions to use mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF 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 mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF: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 mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF: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 mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/DelexaMultiverse-12B-MoE-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DelexaMultiverse-12B-MoE-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- d9dedebd1288e4ce15f4874e9c6b9ba9cbd370efe7f13f89e2c6b0dceafc8501
- Size of remote file:
- 5.61 GB
- SHA256:
- 0eec425773e075b2a99098d4cf9776d985187f6b77ef47c1496cf160ca4d502c
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