初始化项目，由ModelHub XC社区提供模型

Model: karthiksab/slm-125m-base
Source: Original Platform

README.md

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+---
+language:
+- en
+library_name: transformers
+license: apache-2.0
+tags:
+- causal-lm
+- legal
+- finance
+- llama
+---
+
+# slm-125m-base
+
+125.8M-parameter decoder-only language model trained from scratch for legal,
+financial, and educational English text.
+
+## Training
+
+- Architecture: 12-layer Llama-compatible decoder, hidden size 768, vocabulary 16,384
+- Context length: 1,024 tokens
+- Training data: 2.034B packed training tokens; 20.6M validation tokens
+- Data mix: cleaned and deduplicated US case law, SEC filings, and FineWeb-Edu
+- Optimization: AdamW, BF16, cosine learning-rate schedule, one epoch
+- Hardware: 8 NVIDIA H100 GPUs
+- Final validation loss: 2.3981
+- Final validation perplexity: 11.00
+- Reported GPU compute cost: approximately $10.60
+
+This is a base model, not an instruction-tuned or safety-tuned assistant. Outputs
+may be inaccurate and should not be treated as legal or financial advice.