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Model: Shinzmann/naija-petro-GGUF Source: Original Platform
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FROM Qwen3-32B.Q8_0.gguf
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48
README.md
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---
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license: apache-2.0
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language:
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- en
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base_model: Shinzmann/naija-petro
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pipeline_tag: text-generation
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tags:
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- petroleum-engineering
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- oil-and-gas
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- nigeria
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- qwen3
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- gguf
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- llama-cpp
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- ollama
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- quantized
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---
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# Naija-Petro (32B) — GGUF
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GGUF quantizations of [`Shinzmann/naija-petro`](https://huggingface.co/Shinzmann/naija-petro) (the 32B variant) for inference with [llama.cpp](https://github.com/ggerganov/llama.cpp), [Ollama](https://ollama.com), LM Studio, and compatible runtimes.
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See the full [model card](https://huggingface.co/Shinzmann/naija-petro) for training details, intended use, and limitations. For a lighter footprint, consider the [8B GGUF](https://huggingface.co/Shinzmann/naija-petro-8b-GGUF). For Nigeria-specific accuracy, use these weights with the [Naija-Petro RAG system](https://github.com/Mystique1337/naija-petro).
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## Available quantizations
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| File suffix | Method | Notes |
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|---|---|---|
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| `Q4_K_M` | 4-bit (k-quant, medium) | Smallest; recommended default for 32B on limited RAM/VRAM |
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| `Q5_K_M` | 5-bit (k-quant, medium) | Higher quality, larger |
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| `Q8_0` | 8-bit | Near-lossless; largest and slowest |
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> 32B GGUF files are large. Q4_K_M is the practical choice for most machines; ensure you have enough RAM/VRAM + disk for the chosen quant.
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## Usage
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**Ollama**
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```bash
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ollama run hf.co/Shinzmann/naija-petro-GGUF:Q4_K_M
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```
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**llama.cpp**
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```bash
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./llama-cli -hf Shinzmann/naija-petro-GGUF:Q4_K_M \
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-p "What are the screening criteria for CO2 EOR?" -c 4096
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```
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## License
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Apache-2.0 (inherited from Qwen3-32B). Validate outputs with qualified engineers before operational use.
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100
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