Instructions to use QuantFactory/Calme-Instruct-Extended-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/Calme-Instruct-Extended-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/Calme-Instruct-Extended-GGUF",
	filename="Calme-Instruct-Extended.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use QuantFactory/Calme-Instruct-Extended-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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 new

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

QuantFactory/Calme-Instruct-Extended-GGUF

This is quantized version of 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:

MaziyarPanahi/Calme-7B-Instruct-v0.1.1

🧩 Configuration

  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

Downloads last month: 98

GGUF

Model size

9B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

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