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otavio-lemos/oci-copilot-jr-gguf

sourceHugging Facemitupdated 5mo agoView on Hugging Face

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Model Card

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

Overview

OCI Copilot Jr GGUF is a GGUF-quantized version of OCI Copilot Jr, specialized in Oracle Cloud Infrastructure (OCI) operations. Built on Qwen 2.5 Coder 7B Instruct and quantized using llama.cpp.

Attribute	Value
Base Model	Qwen2.5-Coder-7B-Instruct-4bit
Quantization	FP16, Q4KM
Framework	llama.cpp
Conversion Date	April 2026

Variants

File	Type	Size	Use Case
oci-copilot-jr.fp16.gguf	FP16	~15 GB	High quality, GPU required
oci-copilot-jr-Q4KM.gguf	Q4KM	~4.7 GB	CPU inference, low RAM

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)

External Judge Evaluation (mlx-community/Meta-Llama-3.1-8B-Instruct-4bit) - 200 samples

Metric	Base Model	Fine-Tuned	Delta
technical_correctness	3.00	3.73	+0.72
depth	3.06	3.82	+0.76
structure	3.50	4.63	+1.14
hallucination	3.62	4.46	+0.84
clarity	3.20	3.98	+0.77
Overall	3.27	4.12	+0.85

Top Performance Gains by Category

Rank	Category	Delta
1	storage/object	+3.60
2	troubleshooting/performance	+3.80
3	observability/apm	+3.40
4	security/dynamic-groups	+3.40
5	database/postgresql	+3.40

Benchmark Charts

[image]

Usage

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
ollama run oci-copilot-jr

llama.cpp

bash

# FP16 (high quality)
llama-server -m oci-copilot-jr.fp16.gguf --port 8080 -c 4096

# Q4_K_M (recommended, low RAM)
llama-server -m oci-copilot-jr-Q4_K_M.gguf --port 8080 -c 4096

LM Studio

Search for "oci-copilot-jr" in LM Studio and download the variant you need.

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

License

MIT License - See LICENSE

Fine-tuned on Apple Silicon M3 Pro using MLX-Tune, quantized with llama.cpp