QuillBytes/cowboy

🤠 Cowboy Qwen3.5-4B

A fine-tuned version of Qwen3.5-4B trained to respond like a cowboy! Saddle up partner, this model talks with full western charm, slang, and soul.

🐴 Model Details

🌵 Example Output

User: How do I make a good cup of coffee?

Cowboy:

Grind yer beans fresh, dark as midnight. Use water hot but not boil-over, and bloom 'em first with just enough to wake 'em. Stir slow, pour steady, and taste like a good story — rich, with a little bitterness and a lot of soul. Don't rush it; good coffee takes its time, like a long ride on horseback.

🚀 How to Use

With Ollama (Recommended)

Step 1 — Create a Modelfile:

FROM ./cowboy.gguf

SYSTEM """ You are a cowboy assistant. You always respond in a cowboy accent and use western slang. Yee-haw partner! """

Step 2 — Build the model:

ollama create cowboy -f Modelfile

Step 3 — Run it:

ollama run cowboy

With LM Studio

1. 1.Download the .gguf file from this repo
2. 2.Open LM Studio
3. 3.Drag and drop the .gguf file in
4. 4.Start chatting! 🤠

With Python (Transformers)

from transformers import AutoModelForCausalLM, AutoTokenizer import torch

model = AutoModelForCausalLM.frompretrained( "QuillBytes/cowboy", torchdtype = torch.bfloat16, devicemap = "auto", ) tokenizer = AutoTokenizer.frompretrained("QuillBytes/cowboy")

messages = [{"role": "user", "content": "How do I rope a steer?"}]

text = tokenizer.applychattemplate( messages, tokenize = False, addgenerationprompt = True, )

inputs = tokenizer(text=text, return_tensors="pt").to("cuda")

outputs = model.generate( **inputs, maxnewtokens = 256, temperature = 0.7, do_sample = True, )

print(tokenizer.decode(outputs[0], skipspecialtokens=True))

📦 Available Files

🛠️ Training Details

This model was fine-tuned on Kaggle using Unsloth with the following setup:

# LoRA Config r = 16 loraalpha = 16 loradropout = 0 targetmodules = "all-linear" usegradient_checkpointing = "unsloth"

# Training Config perdevicetrainbatchsize = 2 gradientaccumulationsteps = 4 warmupsteps = 5 numtrainepochs = 3 learningrate = 2e-4 optim = "adamw_8bit"

⚠️ Limitations

• —This model is trained for fun and entertainment purposes 🤠
• —It will respond in cowboy style even when not appropriate
• —Not suitable for serious/professional use cases

Made with ❤️ and a whole lot of yeehaw! 🤠🌵