Instructions to use Malcolmdenis/Pillar-3-Knox-9625 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Malcolmdenis/Pillar-3-Knox-9625 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Malcolmdenis/Pillar-3-Knox-9625", dtype="auto")

llama-cpp-python

How to use Malcolmdenis/Pillar-3-Knox-9625 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Malcolmdenis/Pillar-3-Knox-9625",
	filename="unsloth.Q4_K_M.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Malcolmdenis/Pillar-3-Knox-9625 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 Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Malcolmdenis/Pillar-3-Knox-9625: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 Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Malcolmdenis/Pillar-3-Knox-9625: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 Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M

Use Docker

docker model run hf.co/Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M

LM Studio
Jan
Ollama
How to use Malcolmdenis/Pillar-3-Knox-9625 with Ollama:
```
ollama run hf.co/Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M
```

Unsloth Studio

How to use Malcolmdenis/Pillar-3-Knox-9625 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 Malcolmdenis/Pillar-3-Knox-9625 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 Malcolmdenis/Pillar-3-Knox-9625 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Malcolmdenis/Pillar-3-Knox-9625 to start chatting

Atomic Chat new
Docker Model Runner
How to use Malcolmdenis/Pillar-3-Knox-9625 with Docker Model Runner:
```
docker model run hf.co/Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M
```

Lemonade

How to use Malcolmdenis/Pillar-3-Knox-9625 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Malcolmdenis/Pillar-3-Knox-9625:Q4_K_M

Run and chat with the model

lemonade run user.Pillar-3-Knox-9625-Q4_K_M

List all available models

lemonade list

Malcolmdenis commited on Jun 10, 2025

Commit

993c725

1 Parent(s): b893a16

Update README.md

Browse files

Files changed (1) hide show

README.md +5 -8

README.md CHANGED Viewed

@@ -1,11 +1,9 @@
 ---
-base_model: unsloth/Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit
 tags:
 - text-generation-inference
 - transformers
-- unsloth
-- mistral
-license: apache-2.0
 language:
 - en
 ---
@@ -13,9 +11,8 @@ language:
 # Uploaded finetuned  model
 - **Developed by:** Malcolmdenis
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit
-This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 ---
+base_model: Malcolmdenis/Pillar-3
 tags:
 - text-generation-inference
 - transformers
+license: cc
 language:
 - en
 ---
 # Uploaded finetuned  model
 - **Developed by:** Malcolmdenis
+- **License:** cc
+- **Finetuned from model :** Malcolmdenis/Pillar-3
+This model was trained 2x faster with Huggingface's TRL library.