初始化项目，由ModelHub XC社区提供模型

Model: maanka2/SomGPT
Source: Original Platform

README.md

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+---
+language:
+- so
+- en
+
+tags:
+- text-generation
+- causal-lm
+
+license: gemma
+base_model: google/gemma-3-270m
+
+datasets:
+- maanka2/somali-web-corpus
+
+metrics:
+- loss
+---
+
+# SOMGPT
+
+somgpt-base is a Somali causal language model continued from google/gemma-3-270m and trained on maanka2/somali-web-corpus.
+
+## Model Details
+
+- Developer: maanka2
+- Architecture: Gemma 3 (270M)
+- Model Type: Causal Language Model
+- Language: Somali
+- Base Model: google/gemma-3-270m
+- Dataset: maanka2/somali-web-corpus
+- License: gemma
+
+## Overview
+
+This model was further pre-trained on Somali web text to improve its understanding of Somali vocabulary, grammar, spelling, and writing patterns.
+
+somgpt is a base language model designed for text continuation and language modeling. It is not instruction-tuned and is not optimized for chat, question answering, or assistant-style interactions.
+
+For conversational AI or task-specific applications, additional supervised fine-tuning (SFT) or instruction tuning is recommended.
+
+## Training Data
+
+Training was performed using maanka2/somali-web-corpus, a collection of cleaned Somali-language web content gathered from various online sources.
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "maanka2/somgpt"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+prompt = "Soomaaliya waa dal ku yaal"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=256,
+    do_sample=True,
+    temperature=0.1,
+    top_p=0.95
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))