Oci Copilot Jr GGUF
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.
Fuente del modelo
- Tipo
- LoRA
- Tamaño del archivo
- 4,36–14,2 GB
- Modelo base
- otavio-lemos/oci-copilot-jr-safetensors
- Versión
- vRevision cc42cd4
- Actualizado
- 1 oct 2026
- Publicador
- @otavio-lemos
- Descargas
- 44
- Fuente
- Hugging Face
Descripción de la fuente
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, Q4_K_M |
| 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-Q4_K_M.gguf | Q4_K_M | ~4.7 GB | CPU inference, low RAM |
Training Configuration
{
"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
Comparison Chart
Category Chart
Usage
Ollama
# 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
# 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
@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
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 1 oct
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- library_name: transformers license: mit model_name: OCI Copilot Jr GGUF language: - pt tags: - oracle-cloud-infrastructure - oci - fine-tuning - gguf - quantization - llama ggufFilePaths: - oci-copilot-jr-Q4_K_M.gguf - oci-copilot-jr.fp16.gguf base_model: otavio-lemos/oci-copilot-jr-safetensors base_model_relation: quantized --- # 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, Q4_K_M | | **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-Q4_K_M.gguf | Q4_K_M | ~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 | **+...
Source context: 44 downloads · 0 likes · Library transformers · Repo otavio-lemos/oci-copilot-jr-gguf
Source context: 11 downloads · 0 likes · Library transformers · Repo otavio-lemos/oci-copilot-jr-gguf
