Festi/festi-coder-full-2025-06

Festi Coder Full 2025-06

This is a fully fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct, built by Festi to support advanced backend development on the Festi Framework. The model is trained on real-world Festi codebases and supports tasks like plugin generation, trait and service scaffolding, and backend automation.

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Model Details

Model Description

• Developed by: Festi
• Model type: Causal Language Model (full fine-tune)
• Base model: deepseek-ai/deepseek-coder-6.7b-instruct
• Language(s): English, PHP (Festi syntax)
• License: Apache-2.0
• Fine-tuned with: Transformers (no LoRA)

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Uses

Direct Use

This model is intended for developers working in the Festi ecosystem who want to:

• Generate Festi plugins, services, CLI commands, and traits
• Edit and extend existing Festi modules
• Explain and document PHP code following Festi patterns

Out-of-Scope Use

• Natural language chat or general NLP tasks
• Use with non-Festi PHP frameworks (e.g., Laravel, Symfony)
• Autonomous execution without human validation

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Bias, Risks, and Limitations

This is a domain-specific model, not suitable for general-purpose programming. The code generated may contain syntactic or semantic issues and should be reviewed by experienced developers before use in production.

Recommendations

• Validate model output before use
• Use only in backend contexts aligned with Festi's architecture
• Do not expose model output to end-users directly

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How to Get Started with the Model

from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

model_id = "Festi/festi-coder-full-2025-06"

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

generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

prompt = "<|user|>\nCreate a plugin to subscribe users via email.\n<|assistant|>\n"
output = generator(prompt, max_new_tokens=300)
print(output[0]["generated_text"])