Instructions to use Commencis/Commencis-LLM-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Commencis/Commencis-LLM-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Commencis/Commencis-LLM-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Commencis/Commencis-LLM-GGUF", dtype="auto")

llama-cpp-python

How to use Commencis/Commencis-LLM-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Commencis/Commencis-LLM-GGUF",
	filename="commencis-llm-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Commencis/Commencis-LLM-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Commencis/Commencis-LLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Commencis/Commencis-LLM-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 Commencis/Commencis-LLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Commencis/Commencis-LLM-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 Commencis/Commencis-LLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Commencis/Commencis-LLM-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 Commencis/Commencis-LLM-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Commencis/Commencis-LLM-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Commencis/Commencis-LLM-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Commencis/Commencis-LLM-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Commencis/Commencis-LLM-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Commencis/Commencis-LLM-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Commencis/Commencis-LLM-GGUF:Q4_K_M

SGLang

How to use Commencis/Commencis-LLM-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Commencis/Commencis-LLM-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Commencis/Commencis-LLM-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Commencis/Commencis-LLM-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Commencis/Commencis-LLM-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use Commencis/Commencis-LLM-GGUF with Ollama:
```
ollama run hf.co/Commencis/Commencis-LLM-GGUF:Q4_K_M
```

Unsloth Studio new

How to use Commencis/Commencis-LLM-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 Commencis/Commencis-LLM-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 Commencis/Commencis-LLM-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use Commencis/Commencis-LLM-GGUF with Docker Model Runner:
```
docker model run hf.co/Commencis/Commencis-LLM-GGUF:Q4_K_M
```

Lemonade

How to use Commencis/Commencis-LLM-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Commencis/Commencis-LLM-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Commencis-LLM-GGUF-Q4_K_M

List all available models

lemonade list

yunusonur commited on Mar 19, 2024

Commit

ccf2c6b

verified ·

1 Parent(s): 5a79b6e

Create README.md

Browse files

Files changed (1) hide show

README.md +34 -0

README.md ADDED Viewed

	@@ -0,0 +1,34 @@

+---
+model_name: Commencis-LLM
+model_creator: Commencis
+base_model: Commencis/Commencis-LLM
+language:
+- tr
+- en
+pipeline_tag: text-generation
+license: apache-2.0
+library_name: transformers
+inference: false
+tags:
+- commencis
+- mistral
+- turkish
+---
+## Commencis LLM Quantized models and methods
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- |  ----- |
+| [Commencis-LLM.Q2_K.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q2_K.gguf) | Q2_K | 2 | 2.72 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Commencis-LLM.Q3_K_S.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB | very small, high quality loss |
+| [Commencis-LLM.Q3_K_M.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB | very small, high quality loss |
+| [Commencis-LLM.Q3_K_L.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB | small, substantial quality loss |
+| [Commencis-LLM.Q4_0.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Commencis-LLM.Q4_K_S.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB | small, greater quality loss |
+| [Commencis-LLM.Q4_K_M.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB | medium, balanced quality - recommended |
+| [Commencis-LLM.Q5_0.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q5_0.gguf) | Q5_0 | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Commencis-LLM.Q5_K_S.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB | large, low quality loss - recommended |
+| [Commencis-LLM.Q5_K_M.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
+| [Commencis-LLM.Q6_K.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q6_K.gguf) | Q6_K | 6 | 5.94 GB | very large, extremely low quality loss |
+| [Commencis-LLM.Q8_0.gguf](https://huggingface.co/Commencis/Commencis-LLM-GGUF/blob/main/commencis-llm-Q8_0.gguf) | Q8_0 | 8 | 7.7 GB | very large, extremely low quality loss - not recommended |