Update README.md

README.md

@@ -5,7 +5,7 @@ language:
 pipeline_tag: text-generation
 library_name: transformers
 ---
-# Boldt-1B
+# Boldt-350M
 
 <img src="logo.png" width="500">
 
@@ -43,7 +43,7 @@ outputs = model.generate(**inputs, max_new_tokens=64)
 ## Evaluation
 
 We evaluate Boldt-350M on our [modernized German benchmark suite](https://huggingface.co/collections/Boldt/german-llm-benchmarks). It comprises the German subset of [Global MMLU](https://huggingface.co/datasets/CohereLabs/Global-MMLU) and updated translations of widely used English benchmarks, produced using [Tower+ 72B](https://huggingface.co/Unbabel/Tower-Plus-72B) to address issues we identified in existing German benchmark translations.
-Despite being trained on a substantially smaller amount of data, Boldt-1B outperforms other similarly-sized SLMs capable of German on our evaluation suite. It also performs competitively with larger-sized (around 1B) German and multilingual models.
+Despite being trained on a substantially smaller amount of data, Boldt-350M outperforms other similarly-sized SLMs capable of German on our evaluation suite. It also performs competitively with larger-sized (around 1B) German and multilingual models.
 
 | Category | Model | Tokens | MMLU | ARC-C | ARC-E | H-Swag | LAMBADA | OBQA | Avg. |
 |----------|--------|--------|------|-------|-------|--------|----------|------|------|