language, license, pipeline_tag, library_name, tags, datasets, base_model

language	license	pipeline_tag	library_name	tags	datasets	base_model
en	apache-2.0	text-generation	mlx	coding code-generation agentic-ai software-engineering mlx qwen developer-tools	nvidia/OpenCodeInstruct	Qwen/Qwen2.5-3B-Instruct

🚀 BerkeliumGPT-Coder-3B

Production-Grade Agentic Coding Model

Built for software engineering, code generation, debugging, repository understanding, and autonomous coding workflows.

Quick Start

Transformers

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "berkelium-ai/BerkeliumGPT-Coder-3B"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
    torch_dtype="auto"
)

MLX

mlx_lm.generate \
  --model berkelium-ai/BerkeliumGPT-Coder-3B \
  --prompt "Build a FastAPI backend."

Docker Model Runner

docker model pull hf.co/berkelium-ai/BerkeliumGPT-Coder-3B

docker model run hf.co/berkelium-ai/BerkeliumGPT-Coder-3B

Ollama (GGUF Release)

ollama run berkeliumgpt-coder

Model Details

Property	Value
Model Name	BerkeliumGPT-Coder-3B
Base Model	Qwen2.5-3B-Instruct
Parameters	3 Billion
Architecture	Transformer Decoder
Domain	Software Engineering
Context Length	Base Model Configuration
License	Apache-2.0

Capabilities

• Code Generation
• Agentic Coding
• Repository Analysis
• Bug Detection
• Refactoring
• Test Generation
• Documentation Writing
• API Development
• DevOps Automation

Supported Languages

• Python
• JavaScript
• TypeScript
• Go
• Rust
• Java
• C++
• C#
• SQL
• Bash
• HTML
• CSS

Example Prompt

User

Build a FastAPI application with JWT authentication and PostgreSQL.

Assistant

Generates:

• Backend API
• Database models
• Authentication system
• Docker configuration
• Unit tests

Intended Use

BerkeliumGPT-Coder-3B is designed for:

• AI Coding Assistants
• Software Engineering Agents
• Developer Copilots
• Research
• Local Inference
• Autonomous Development Workflows

Limitations

• Generated code should be reviewed before production deployment.
• Security auditing is recommended.
• Human validation remains essential.

License

Apache-2.0