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AI Models 84759
- tulu-2-7B-GGUF↗
TheBloke
- shvit_s2.in1k↗
timm
- tnt_s_patch16_224.in1k↗
timm
- Llama-2-7b-chat-hf-function-calling-v2↗
Trelis
- Qwen3-8B-Base-bnb-4bit↗
unsloth
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2.5: **Qwen3-8B-Base** has the following features: - Type: Causal Language Models - Training Stage: Pretraining - Number of Parameters: 8.2B - Number of Paramaters (Non-Embedding): 6.95B - Number of Layers: 36 - Number of Attention Heads (GQA): 32 for Q and 8 for KV - Context Length: 32,768 For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our blog, GitHub, and Documentation.
- Veyra2-Mango-15M-Instruct↗
veyra-ai
- vit5-base-vietnews-summarization↗
VietAI
- WanVideo_comfy↗
zachyuan
- Qwen3.6-35B-A3B-heretic-Q4_K_M-GGUF↗
Abiray
- email-security↗
adaptive-classifier
