Instructions to use QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/Calme-Instruct-Extended-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M
```

Unsloth Studio

How to use QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-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 QuantFactory/Calme-Instruct-Extended-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/Calme-Instruct-Extended-GGUF to start chatting

Docker Model Runner
How to use QuantFactory/Calme-Instruct-Extended-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/Calme-Instruct-Extended-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/Calme-Instruct-Extended-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Calme-Instruct-Extended-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Calme-Instruct-Extended-GGUF / README.md

aashish1904

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	---

	license: apache-2.0
	tags:
	- merge
	- mergekit
	- MaziyarPanahi/Calme-7B-Instruct-v0.1.1

	---

	![](https://cdn.discordapp.com/attachments/791342238541152306/1264099835221381251/image.png?ex=669ca436&is=669b52b6&hm=129f56187c31e1ed22cbd1bcdbc677a2baeea5090761d2f1a458c8b1ec7cca4b&)

	# QuantFactory/Calme-Instruct-Extended-GGUF
	This is quantized version of [arcee-ai/Calme-Instruct-Extended](https://huggingface.co/arcee-ai/Calme-Instruct-Extended) created using llama.cpp

	# Original Model Card


	# Calme-Instruct-Extended

	Calme-Instruct-Extended is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
	* [MaziyarPanahi/Calme-7B-Instruct-v0.1.1](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.1.1)


	## 🧩 Configuration

	```yaml
	slices:
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 0
	- 4
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 3
	- 4
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 4
	- 8
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 7
	- 8
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 8
	- 12
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 11
	- 12
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 12
	- 16
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 15
	- 16
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 16
	- 20
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 19
	- 20
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 20
	- 24
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 23
	- 24
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 24
	- 28
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 27
	- 28
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 28
	- 32
	- sources:
	- model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
	layer_range:
	- 31
	- 32
	parameters:
	scale:
	- filter: o_proj
	value: 0
	- filter: down_proj
	value: 0
	- value: 1
	merge_method: passthrough
	dtype: bfloat16



	```