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Model: Shinzmann/naija-petro-8b-GGUF Source: Original Platform
2026-06-11 04:22:16 +08:00
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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+qwen3-8b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+qwen3-8b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+
+FROM qwen3-8b.Q8_0.gguf
+TEMPLATE """{{- if .Messages }}
+{{- if or .System .Tools }}<|im_start|>system
+{{- if .System }}
+{{ .System }}
+{{- end }}
+{{- if .Tools }}
+
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{{- range .Tools }}
+{"type": "function", "function": {{ .Function }}}
+{{- end }}
+</tools>
+
+For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
+<tool_call>
+{"name": <function-name>, "arguments": <args-json-object>}
+</tool_call>
+{{- end }}<|im_end|>
+{{ end }}
+{{- range $i, $_ := .Messages }}
+{{- $last := eq (len (slice $.Messages $i)) 1 -}}
+{{- if eq .Role "user" }}<|im_start|>user
+{{ .Content }}<|im_end|>
+{{ else if eq .Role "assistant" }}<|im_start|>assistant
+{{ if .Content }}{{ .Content }}
+{{- else if .ToolCalls }}<tool_call>
+{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
+{{ end }}</tool_call>
+{{- end }}{{ if not $last }}<|im_end|>
+{{ end }}
+{{- else if eq .Role "tool" }}<|im_start|>user
+<tool_response>
+{{ .Content }}
+</tool_response><|im_end|>
+{{ end }}
+{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
+{{ end }}
+{{- end }}
+{{- else }}
+{{- if .System }}<|im_start|>system
+{{ .System }}<|im_end|>
+{{ end }}{{ if .Prompt }}<|im_start|>user
+{{ .Prompt }}<|im_end|>
+{{ end }}<|im_start|>assistant
+{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
+PARAMETER stop "<|im_end|>"
+PARAMETER stop "<|im_start|>"
+PARAMETER temperature 0.6
+PARAMETER min_p 0.0
+PARAMETER top_k 20
+PARAMETER top_p 0.95
+PARAMETER repeat_penalty 1
--- a/README.md
+++ b/README.md
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+---
+license: apache-2.0
+language:
+- en
+base_model: Shinzmann/naija-petro-8b
+pipeline_tag: text-generation
+tags:
+- petroleum-engineering
+- oil-and-gas
+- nigeria
+- qwen3
+- gguf
+- llama-cpp
+- ollama
+- quantized
+---
+
+# Naija-Petro 8B — GGUF
+
+GGUF quantizations of [`Shinzmann/naija-petro-8b`](https://huggingface.co/Shinzmann/naija-petro-8b) for CPU/edge inference with [llama.cpp](https://github.com/ggerganov/llama.cpp), [Ollama](https://ollama.com), LM Studio, and compatible runtimes.
+
+See the full [model card](https://huggingface.co/Shinzmann/naija-petro-8b) for training details, intended use, and limitations. For Nigeria-specific accuracy, use these weights with the [Naija-Petro RAG system](https://github.com/Mystique1337/naija-petro).
+
+## Available quantizations
+
+| File suffix | Method | Notes |
+|---|---|---|
+| `Q4_K_M` | 4-bit (k-quant, medium) | Best size/quality trade-off — recommended default |
+| `Q8_0`   | 8-bit | Near-lossless; larger and slower |
+
+## Usage
+
+**Ollama**
+```bash
+ollama run hf.co/Shinzmann/naija-petro-8b-GGUF:Q4_K_M
+```
+
+**llama.cpp**
+```bash
+# download a specific quant, then:
+./llama-cli -hf Shinzmann/naija-petro-8b-GGUF:Q4_K_M \
+  -p "Explain the material balance equation for an undersaturated reservoir." \
+  -c 4096
+```
+
+**Python (llama-cpp-python)**
+```python
+from llama_cpp import Llama
+llm = Llama.from_pretrained(
+    repo_id="Shinzmann/naija-petro-8b-GGUF",
+    filename="*Q4_K_M.gguf",
+    n_ctx=4096,
+)
+print(llm.create_chat_completion(messages=[
+    {"role": "system", "content": "You are Naija-Petro, an expert petroleum-engineering AI assistant."},
+    {"role": "user", "content": "How do you interpret a Horner plot?"},
+])["choices"][0]["message"]["content"])
+```
+
+## License
+Apache-2.0 (inherited from Qwen3-8B). Validate outputs with qualified engineers before operational use.
--- a/config.json
+++ b/config.json
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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 12288,
+    "layer_types": [
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 40960,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151669,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.3.8",
+    "use_cache": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}
--- a/qwen3-8b.Q4_K_M.gguf
+++ b/qwen3-8b.Q4_K_M.gguf
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--- a/qwen3-8b.Q8_0.gguf
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