Instructions to use AlirezaF138/Hormoz-8B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlirezaF138/Hormoz-8B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AlirezaF138/Hormoz-8B-GGUF",
	filename="hormoz-8b-q6_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 AlirezaF138/Hormoz-8B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AlirezaF138/Hormoz-8B-GGUF:Q6_K
# Run inference directly in the terminal:
llama-cli -hf AlirezaF138/Hormoz-8B-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AlirezaF138/Hormoz-8B-GGUF:Q6_K
# Run inference directly in the terminal:
llama-cli -hf AlirezaF138/Hormoz-8B-GGUF:Q6_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 AlirezaF138/Hormoz-8B-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf AlirezaF138/Hormoz-8B-GGUF:Q6_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 AlirezaF138/Hormoz-8B-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AlirezaF138/Hormoz-8B-GGUF:Q6_K

Use Docker

docker model run hf.co/AlirezaF138/Hormoz-8B-GGUF:Q6_K

LM Studio
Jan
Ollama
How to use AlirezaF138/Hormoz-8B-GGUF with Ollama:
```
ollama run hf.co/AlirezaF138/Hormoz-8B-GGUF:Q6_K
```

Unsloth Studio

How to use AlirezaF138/Hormoz-8B-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 AlirezaF138/Hormoz-8B-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 AlirezaF138/Hormoz-8B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AlirezaF138/Hormoz-8B-GGUF to start chatting

Docker Model Runner
How to use AlirezaF138/Hormoz-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/AlirezaF138/Hormoz-8B-GGUF:Q6_K
```

Lemonade

How to use AlirezaF138/Hormoz-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AlirezaF138/Hormoz-8B-GGUF:Q6_K

Run and chat with the model

lemonade run user.Hormoz-8B-GGUF-Q6_K

List all available models

lemonade list

AlirezaF138 commited on Feb 4, 2025

Commit

1982c68

verified ·

1 Parent(s): d8ec314

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -33,7 +33,7 @@ tags:
 base_model: mann-e/Hormoz-8B
 ---
-# AlirezaF138/Hormoz-8B-Q8_0-GGUF
 This model was converted to GGUF format from [`mann-e/Hormoz-8B`](https://huggingface.co/mann-e/Hormoz-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/mann-e/Hormoz-8B) for more details on the model.
@@ -48,12 +48,12 @@ Invoke the llama.cpp server or the CLI.
 ### CLI:
 ```bash
-llama-cli --hf-repo AlirezaF138/Hormoz-8B-Q8_0-GGUF --hf-file hormoz-8b-q8_0.gguf -p "The meaning to life and the universe is"
 ```
 ### Server:
 ```bash
-llama-server --hf-repo AlirezaF138/Hormoz-8B-Q8_0-GGUF --hf-file hormoz-8b-q8_0.gguf -c 2048
 ```
 Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
@@ -70,9 +70,9 @@ cd llama.cpp && LLAMA_CURL=1 make
 Step 3: Run inference through the main binary.
 ```
-./llama-cli --hf-repo AlirezaF138/Hormoz-8B-Q8_0-GGUF --hf-file hormoz-8b-q8_0.gguf -p "The meaning to life and the universe is"
 ```
 or
 ```
-./llama-server --hf-repo AlirezaF138/Hormoz-8B-Q8_0-GGUF --hf-file hormoz-8b-q8_0.gguf -c 2048
 ```

 base_model: mann-e/Hormoz-8B
 ---
+# AlirezaF138/Hormoz-8B-Q6_K-GGUF
 This model was converted to GGUF format from [`mann-e/Hormoz-8B`](https://huggingface.co/mann-e/Hormoz-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/mann-e/Hormoz-8B) for more details on the model.
 ### CLI:
 ```bash
+llama-cli --hf-repo AlirezaF138/Hormoz-8B-Q6_K-GGUF --hf-file hormoz-8b-q6_k.gguf -p "The meaning to life and the universe is"
 ```
 ### Server:
 ```bash
+llama-server --hf-repo AlirezaF138/Hormoz-8B-Q6_K-GGUF --hf-file hormoz-8b-q6_k.gguf -c 2048
 ```
 Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
 Step 3: Run inference through the main binary.
 ```
+./llama-cli --hf-repo AlirezaF138/Hormoz-8B-Q6_K-GGUF --hf-file hormoz-8b-q6_k.gguf -p "The meaning to life and the universe is"
 ```
 or
 ```
+./llama-server --hf-repo AlirezaF138/Hormoz-8B-Q6_K-GGUF --hf-file hormoz-8b-q6_k.gguf -c 2048
 ```