全站搜索
AI 模型 84759
- Qwen2.5-0.5B↗
阿里巴巴 · Qwen
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 0.5B 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: 0.49B - Number of Paramaters (Non-Embedding): 0.36B - Number of Layers: 24 - Number of Attention Heads (GQA): 14 for Q and 2 for KV - Context Length: Full 32,768 tokens
- magi↗
ragavsachdeva
- Melody1437-27B-GGUF↗
ReadyArt
- Ornith-1.5-9B-uncensored-MLX-6bit↗
ressl
- Hachipo_-_qwen2.5-0.5B_educational_instruct_top30000_codeonly-gguf↗
RichardErkhov
- KnutJaegersberg_-_megatron-GPT-2-345m-EvolInstruct-gguf↗
RichardErkhov
- mlabonne_-_NeuralHermes-2.5-Mistral-7B-gguf↗
RichardErkhov
- TinyLlama_-_TinyLlama-1.1B-Chat-v0.5-gguf↗
RichardErkhov
- v000000_-_L3-Umbral-Storm-8B-t0.0001-gguf↗
RichardErkhov
- Realistic_Vision_V1.4↗
SG161222