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AI 模型 85003
- EuroBERT-2.1B↗
EuroBERT
- dpt-dinov2-giant-kitti↗
facebook
- musicgen-melody-large↗
facebook
- FastVideo-FastH3-Trim-8-Step↗
FastVideo
- unsloth-Qwen2.5-Coder-7B-GGUF↗
featherless-ai-quants
- Darwin-28B-REASON↗
FINAL-Bench
- POCKET-35B-GGUF↗
FINAL-Bench
> ### ⭐ Latest and flagship models > [](https://huggingface.co/FINAL-Bench/VKORE-46M-NPU) [](https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v5) > [](https://huggingface.co/collections/FINAL-Bench/pocket-models-6a618ee5d23eafb7e185a5c6) [](https://huggingface.co/collections/FINAL-Bench/darwin-family-699987b1f652864af0122193) [](https://huggingface.co/FINAL-Bench) [](https://vidraft.net) [](https://thevc.kr/vidraft) > ### 🆕 **POCKET-Qwen3.8-Flash-Next** — a **180B** model running on a **laptop with 8 GB VRAM + 32 GB RAM** · **4.17 tok/s measured**. > [](https://huggingface.co/FINAL-Bench/POCKET-Qwen3.8-Flash-Next-GGUF) []() []() []() > ### 🆕 **POCKET-Zimage-CPU** — photoreal **images** in **46 s** on a **CPU only**. No GPU, no CUDA, no Python. > [](https://huggingface.co/FINAL-Bench/POCKET-Zimage-CPU) [](https://huggingface.co/spaces/FINAL-Bench/POCKET-Zimage-CPU) []()
- flan-t5-large↗
Google
0. TL;DR 1. Model Details 2. Usage 3. Uses 4. Bias, Risks, and Limitations 5. Training Details 6. Evaluation 7. Environmental Impact 8. Citation 9. Model Card Authors If you already know T5, FLAN-T5 is just better at everything. For the same number of parameters, these models have been fine-tuned on more than 1000 additional tasks covering also more languages. As mentioned in the first few lines of the abstract : > Flan-PaLM 540B achieves state-of-the-art performance on several benchmarks, such as 75.2% on five-shot MMLU. We also publicly release Flan-T5 checkpoints,1 which achieve strong few-shot performance even compared to much larger models, such as PaLM 62B. Overall, instruction finetuning is a general method for improving the performance and usability of pretrained language models. **Disclaimer**: Content from **this** model card has been written by the Hugging Face team, and parts of it were copy pasted from the T5 model card.
- paligemma-3b-ft-infovqa-224↗
Google
- Llama-3.3-70B-Instruct-FP8-Dynamic↗
Infermatic