Instructions to use MisterHolmes44/dream-catcher-llama3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use MisterHolmes44/dream-catcher-llama3-GGUF 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 MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MisterHolmes44/dream-catcher-llama3-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 MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MisterHolmes44/dream-catcher-llama3-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 MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M

Use Docker

docker model run hf.co/MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use MisterHolmes44/dream-catcher-llama3-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MisterHolmes44/dream-catcher-llama3-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": "MisterHolmes44/dream-catcher-llama3-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M

Ollama
How to use MisterHolmes44/dream-catcher-llama3-GGUF with Ollama:
```
ollama run hf.co/MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use MisterHolmes44/dream-catcher-llama3-GGUF with Docker Model Runner:
```
docker model run hf.co/MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M
```

Lemonade

How to use MisterHolmes44/dream-catcher-llama3-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MisterHolmes44/dream-catcher-llama3-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.dream-catcher-llama3-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Dream Catcher Llama 3 (8B) - GGUF

This is a fine-tuned version of Meta's Llama-3-8B-Instruct model, specifically trained to act as a professional dream analyzer. It interprets dreams from both Freudian (psychoanalytic) and Jungian (analytical psychology) perspectives.

Model Details

Architecture: Llama 3 (8 Billion Parameters)
Quantization: 4-bit (Q4_K_M GGUF format) for optimized local CPU/GPU inference.
Fine-Tuning Framework: Unsloth (LoRA/QLoRA)
Intended Use: Personal reflection, psychological exploration, and API integration for dream analysis applications.

Training Data

The model was fine-tuned on a custom synthetic dataset consisting of 392 detailed dream narratives paired with professional, dual-perspective (Freud/Jung) psychological analyses.

How to Use (Prompt Format)

This model was trained with a specific prompt structure. To get the best results, you must use the following format. If you use a standard chat format, the model may hallucinate or perform poorly.

### Instruction: You are a proffesional dream analyzer and know Freud and Jung opinions very well. Analyze the concept below and give me the meaning of the dream, 
### Input: {Enter your dream here}
### Output:

Downloads last month: 19

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

Model tree for MisterHolmes44/dream-catcher-llama3-GGUF

Base model

meta-llama/Meta-Llama-3-8B-Instruct

Quantized

(287)

this model

MisterHolmes44
/

dream-catcher-llama3-GGUF

Dream Catcher Llama 3 (8B) - GGUF

Model Details

Training Data

How to Use (Prompt Format)

Model tree for MisterHolmes44/dream-catcher-llama3-GGUF

Dataset used to train MisterHolmes44/dream-catcher-llama3-GGUF