Instructions to use tensorblock/Monarch-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use tensorblock/Monarch-7B-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 tensorblock/Monarch-7B-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/Monarch-7B-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tensorblock/Monarch-7B-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/Monarch-7B-GGUF:Q2_K

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 tensorblock/Monarch-7B-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/Monarch-7B-GGUF:Q2_K

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 tensorblock/Monarch-7B-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/Monarch-7B-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/Monarch-7B-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/Monarch-7B-GGUF with Ollama:
```
ollama run hf.co/tensorblock/Monarch-7B-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/Monarch-7B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

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 tensorblock/Monarch-7B-GGUF to start chatting

Install Unsloth Studio (Windows)

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 tensorblock/Monarch-7B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/Monarch-7B-GGUF to start chatting

Docker Model Runner
How to use tensorblock/Monarch-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/Monarch-7B-GGUF:Q2_K
```

Lemonade

How to use tensorblock/Monarch-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/Monarch-7B-GGUF:Q2_K

Run and chat with the model

lemonade run user.Monarch-7B-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

morriszms commited on Jan 27

Commit

5e38d4d

verified ·

1 Parent(s): 7e1f12a

Remove .gguf files (keep Q2_K.gguf)

Browse files

Files changed (11) hide show

Monarch-7B-Q3_K_L.gguf +0 -3
Monarch-7B-Q3_K_M.gguf +0 -3
Monarch-7B-Q3_K_S.gguf +0 -3
Monarch-7B-Q4_0.gguf +0 -3
Monarch-7B-Q4_K_M.gguf +0 -3
Monarch-7B-Q4_K_S.gguf +0 -3
Monarch-7B-Q5_0.gguf +0 -3
Monarch-7B-Q5_K_M.gguf +0 -3
Monarch-7B-Q5_K_S.gguf +0 -3
Monarch-7B-Q6_K.gguf +0 -3
Monarch-7B-Q8_0.gguf +0 -3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:517d5ba029ae8a9bb19311ccb4207d04bbdfaed94ae7a992b3f4b0f09461ad85
-size 3822025504

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ec7662e7f0e1689d30e2cc42b23b662b12664cb96e550e91d3720c2a4d8a1c85
-size 3518987040

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:584db4f67865a3d5ed062fbff1386042f6059f8e7a3394809cb1119552f49bd6
-size 3164568352

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a1dc23e950b08e865ff5a1c2cb74c06869f29fbd4b02bfd062275c88befcd3d0
-size 4108917536

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0371b82ed40a48970efe222279edda0d24f21dd4f17ca7985a8dfe69a198c3cd
-size 4368440096