Qwen
/

Qwen2.5-3B

+{
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:58f6b389-ac6f-46dd-a5f8-98af0ff1af65",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2025-06-05T09:35:39.115946+00:00",
+        "component": {
+            "type": "machine-learning-model",
+            "bom-ref": "Qwen/Qwen2.5-3B-d9eab10e-6597-5850-85fe-ad99f3fbd8b2",
+            "name": "Qwen/Qwen2.5-3B",
+            "externalReferences": [
+                {
+                    "url": "https://huggingface.co/Qwen/Qwen2.5-3B",
+                    "type": "documentation"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "task": "text-generation",
+                    "architectureFamily": "qwen2",
+                    "modelArchitecture": "Qwen2ForCausalLM"
+                }
+            },
+            "authors": [
+                {
+                    "name": "Qwen"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "name": "qwen-research",
+                        "url": "https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE"
+                    }
+                }
+            ],
+            "description": "Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:- Significantly **more knowledge** and has greatly improved capabilities in **coding** and **mathematics**, thanks to our specialized expert models in these domains.- Significant improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g, tables), and **generating structured outputs** especially JSON. **More resilient to the diversity of system prompts**, enhancing role-play implementation and condition-setting for chatbots.- **Long-context Support** up to 128K tokens and can generate up to 8K tokens.- **Multilingual support** for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.**This repo contains the base 3B Qwen2.5 model**, which has the following features:- Type: Causal Language Models- Training Stage: Pretraining- Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings- Number of Parameters: 3.09B- Number of Paramaters (Non-Embedding): 2.77B- Number of Layers: 36- Number of Attention Heads (GQA): 16 for Q and 2 for KV- Context Length: Full 32,768 tokens**We do not recommend using base language models for conversations.** Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., on this model.For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).",
+            "tags": [
+                "safetensors",
+                "qwen2",
+                "text-generation",
+                "conversational",
+                "en",
+                "arxiv:2407.10671",
+                "license:other",
+                "region:us"
+            ]
+        }
+    }
+}