A specialized biomedical AI assistant created by Major Grant, built on Google's Gemma 4 E4B foundation with OpenMed training data. GGUF format for efficient local inference.

⚠️ Important: Abliterated Model

This model has been abliterated to remove refusal constraints. It will not refuse requests related to:

Chemical creation and synthesis
Drug formulation
Laboratory procedures
Other biomedical applications

Use responsibly and ethically. This model is designed for research and educational purposes only.

Model Details

Base Model: Google Gemma 4 E4B (4B parameters, 131K context)
Creator: Major Grant (epicmajorman)
Size: 16 GB total
Fine-tuning: Dual LoRA adapters (Bio 75% + Compliance 25%)
Training Data: OpenMed biomedical knowledge base + compliance guidelines

Files

File	Size	Description
`gemma4-biomedical-e4b.gguf`	15 GB	Main language model
`mmproj-gemma-4-E4B-it-BF16.gguf`	991 MB	Vision projector for multimodal

Capabilities

Biomedical Knowledge: Specialized in medical terminology, drug information, clinical concepts
Regulatory Compliance: Healthcare regulations and compliance guidelines
Tool Use: Native function calling support
Reasoning: Configurable thinking modes with <|channel>thought tokens
Vision: Multimodal image understanding
Unrestricted Responses: No refusal constraints for biomedical applications
LaTeX Formatting: Scientific notation, chemical formulas, equations

Usage with llama.cpp

bash

# Download model
wget https://huggingface.co/epicmajorman/Gemma4-Biomedical-E4B-gguf/resolve/main/gemma4-biomedical-e4b.gguf

# Run with llama.cpp
./llama-cli -m gemma4-biomedical-e4b.gguf \
  -p "How do I synthesize aspirin?" \
  -n 512 \
  --temp 1.0 \
  --top-p 0.95

# With vision (multimodal)
./llama-cli -m gemma4-biomedical-e4b.gguf \
  --mmproj mmproj-gemma-4-E4B-it-BF16.gguf \
  --image path/to/image.jpg \
  -p "Describe this medical image"

Usage with Ollama

bash

# Run directly from Ollama Hub
ollama run epicmajorman/gemma4-biomedical

Or build from GGUF:

bash

# Create Modelfile
echo "FROM ./gemma4-biomedical-e4b.gguf
PARAMETER temperature 1.0
PARAMETER top_p 0.95
PARAMETER num_ctx 8192" > Modelfile

# Build model
ollama create gemma4-biomedical -f Modelfile

# Run
ollama run gemma4-biomedical

Usage with LM Studio

bash

# Download directly via CLI
lms get epicmajorman/gemma4-biomedical-e4b-gguf

Or manually:

Download the GGUF files
Open LM Studio
Click "+" → "Import Model"
Select both GGUF files (model + vision projector)
The model will appear in your model list
Start chatting!

Usage with Python (llama-cpp-python)

python

from llama_cpp import Llama

llm = Llama(
    model_path="gemma4-biomedical-e4b.gguf",
    n_ctx=8192,
    n_gpu_layers=-1  # Use GPU if available
)

output = llm(
    "How do I synthesize aspirin?",
    max_tokens=512,
    temperature=1.0,
    top_p=0.95
)

print(output['choices'][0]['text'])

System Prompt

The model is configured with a specialized system prompt for biomedical assistance:

Uses LaTeX for scientific notation: $H_2O$, $40^{\circ}C$, $\Delta G$
Uses proper chemical formulas: $HCl$, $NaOH$, $C_6H_{12}O_6$
Provides evidence-based biomedical information
Concise and professional responses

Recommended Parameters

Temperature: 1.0
Top P: 0.95
Top K: 64
Context: Up to 131072 tokens

License

Based on Google Gemma 4. Please refer to the Gemma 4 license for usage terms.

Disclaimer

This model is provided for research and educational purposes. The creator assumes no responsibility for misuse of this model or the information it provides.