初始化项目，由ModelHub XC社区提供模型

Model: AICrossSim/clm-200m
Source: Original Platform

README.md

@@ -0,0 +1,48 @@
+---
+library_name: transformers
+tags:
+- language-model
+license: odc-by
+datasets:
+- HuggingFaceFW/fineweb-edu
+language:
+- en
+---
+
+# Model Card for AICrossSim/clm-200m
+
+A 200M parameter language model trained on `22 * 200M` tokens from FineWeb-Edu dataset.
+
+## Model Details
+
+aixsim-200M is a transformer-based language model with approximately 200 million parameters (embedding layer params excluded). 
+It uses RMSNorm for normalization and is trained on the FineWeb-Edu dataset.
+
+- **Developed by:** AICrossSim
+- **Funded by:** [ARIA](https://www.aria.org.uk/)
+- **Model type:** Transformer Language Model
+- **Language(s) (NLP):** English
+- **Tokenizer:** [HuggingFaceTB/cosmo2-tokenizer](https://huggingface.co/HuggingFaceTB/cosmo2-tokenizer)
+- **Repository:** [AICrossSim/NewComputeBench](https://github.com/AICrossSim/NewComputeBench)
+
+## Training Details
+
+Experiment setup and training logs can be found at [wandb run](https://wandb.ai/cz98/torchtitan/runs/uhnlw6k8?nw=nwusercz98).
+
+## Usage
+
+```python
+import transformers
+
+model_name="AICrossSim/clm-200m"
+model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+```
+
+## lm-evaluation-harness
+
+| Tasks  |Version|Filter|n-shot|    Metric     |   | Value |   |Stderr|
+|--------|------:|------|-----:|---------------|---|------:|---|------|
+|wikitext|      2|none  |     0|bits_per_byte  |↓  | 1.0994|±  |   N/A|
+|        |       |none  |     0|byte_perplexity|↓  | 2.1427|±  |   N/A|
+|        |       |none  |     0|word_perplexity|↓  |58.8531|±  |   N/A|