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otavio-lemos/
oci-copilot-jr

Name: oci-copilot-jr
Availability: InStock

mlx

oracle-cloud-infrastructure

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Model Card: otavio-lemos/oci-copilot-jr

Overview

OCI Copilot Jr is a fine-tuned Large Language Model specialized in Oracle Cloud Infrastructure (OCI) operations. Built on Qwen 2.5 Coder 7B Instruct and fine-tuned using LoRA on Apple Silicon (M3 Pro).

Attribute	Value
Base Model	Qwen2.5-Coder-7B-Instruct-4bit
Fine-tuning Method	LoRA (Rank 32, Alpha 64)
Framework	MLX-Tune 0.4.18
Hardware	Apple Silicon M3 Pro (18GB)
Training Date	April 2026

Training Configuration

python

{
  "model": "mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
  "train_data": "data/train.jsonl",
  "valid_data": "data/valid.jsonl",
  "output_dir": "outputs/cycle-1",
  "batch_size": 1,
  "learning_rate": 1e-4,
  "lora_rank": 32,
  "lora_alpha": 64,
  "lora_dropout": 0.05,
  "gradient_accumulation": 4,
  "num_layers": 16,
  "target_modules": ["q_proj","k_proj","v_proj","o_proj","gate_proj","up_proj","down_proj"],
  "iters": 2475,
  "max_seq_length": 1024,
  "val_batches": 5,
  "eval_steps": 247,
  "logging_steps": 1,
  "save_steps": 247,
  "warmup_steps": 247,
  "gradient_checkpointing": false,
  "lr_scheduler": "cosine",
  "weight_decay": 0.01,
  "seed": 42,
  "gradient_clip_norm": 1.0,
  "bf16": true
}

Dataset

Training: 9,897 examples (75%)
Validation: 1,979 examples (15%)
Evaluation: 1,320 examples (10%)
Total: 13,196 examples
Language: Portuguese (pt)
Categories: 88 OCI domains

Benchmark Results (Cycle 1)

Evaluation on 200 samples comparing base model vs fine-tuned:

Metric	Base Model	Fine-Tuned	Delta
Technical Correctness	3.67	4.51	+0.84
Depth	3.11	3.93	+0.82
Structure	3.47	4.45	+0.98
Hallucination	3.23	3.95	+0.72
Clarity	3.07	3.06	-0.01
Overall	3.31	3.98	+0.67

Top Performance Gains by Category

Rank	Category	Delta
1	Security Posture Management	+2.24
2	Governance Tagging	+2.20
3	Terraform State	+2.00
4	Troubleshooting Functions	+1.86
5	Security WAF	+1.84

Benchmark Charts

Usage

MLX (Apple Silicon - Recommended)

mlx_lm.server --model mlx-community/Qwen2.5-Coder-7B-Instruct-4bit --adapter outputs/cycle-1/adapters

Ollama

bash

# Create Modelfile
cat > Modelfile << 'EOF'
FROM ./oci-copilot-jr-Q4_K_M.gguf
PARAMETER temperature 0.1
PARAMETER top_p 0.9
PARAMETER top_k 40
SYSTEM Você é um especialista em OCI (Oracle Cloud Infrastructure).
EOF

ollama create oci-copilot-jr -f Modelfile

llama.cpp

llama-server -m oci-copilot-jr-Q4_K_M.gguf --port 8080

System Prompt

Você é um arquiteto e especialista experiente em OCI. Forneça orientações técnicas, profundas e definitivas com:
- Comandos OCI CLI reais
- Trechos de código Terraform
- Passos detalhados e justificação
- Restrições do cenário observadas
- Checklist de pré-requisitos

Limitations

Language: Optimized for Brazilian Portuguese (PT-BR)
Scope: Operational guidance — OCI CLI commands, Terraform snippets, step-by-step procedures, risk validation, and troubleshooting runbooks
Training: Single-cycle LoRA (may improve with more cycles)
Knowledge: Based on OCI documentation up to April 2026

Citation

bibtex

@model{lemos_2026_oci_copilot_jr,
  author    = {Otavio Lemos},
  title     = {OCI Copilot Jr},
  year      = {2026},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/otavio-lemos/oci-copilot-jr}
}

License

MIT License - See LICENSE

Fine-tuned on Apple Silicon M3 Pro using MLX-Tune