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AI Models 84759
- LTX-Video-ICLoRA-depth-13b-0.9.7↗
Lightricks
- M7-7b↗
liminerity
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model): assistant: "In this depiction, the LLM is characterized by its vast memory, instinctual roots, and the ability to learn from vast amounts of text—represented by the woven words in the lower part. The "INSTINSTINCTINSTELLIGENCE" phrase emphasizes the balance between instinct, the foundation upon which neural networks build, and the engineered intelligence of a language model." Multiverse-Experiment-slerp-7b is a merge of the following models using mergekit: * liminerity/merge4 * liminerity/merge2
- Botanic1-M↗
living-models
- granite-4.0-micro-GGUF↗
lmstudio-community
- Seed-OSS-36B-Instruct-MLX-4bit↗
lmstudio-community
_👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: ByteDance-Seed **Original model**: Seed-OSS-36B-Instruct **MLX quantization**: provided by LM Studio team using mlx_lm 4-bit quantized version of Seed-OSS-36B-Instruct using MLX, optimized for Apple Silicon.
- sense-voice-gguf↗
lovemefan
- distilbert-imdb↗
lvwerra
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset (training notebook is here). It achieves the following results on the evaluation set: - Loss: 0.1903 - Accuracy: 0.928 The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - Transformers 4.15.0 - Pytorch 1.10.0+cu111 - Datasets 1.17.0 - Tokenizers 0.10.3
- prefectIllustriousXL_v5↗
martineux
- Codepy-Deepthink-3B-GGUF↗
MaziyarPanahi
- mergekit-slerp-ozbsicw-GGUF↗
MaziyarPanahi
