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AI Models 85003

• rwkv-6-world-3b-gguf↗

  latestissue

• gemma-3-27b-it-FP8-Dynamic↗

  leon-se

• resnet10↗

  lerobot

  It's done in context of porting `HIL-SERL` paper code (https://hil-serl.github.io/) to `Lerobot` (https://github.com/Lerobot/lerobot). The HF doesn't have ResNet-10 model, which could be pretty usefult for robotics tasks because of it's small size. This model is converted from JAX to PyTorch, and the weights are preserved. This model is a PyTorch port of the original JAX implementation. The conversion maintains the original model's architecture and weights while making it accessible to PyTorch users. The original model is from https://github.com/rail-berkeley/hil-serl/blob/7d17d13560d85abffbd45facec17c4f9189c29c0/serl_launcher/serl_launcher/utils/train_utils.py#L103. - **Original Framework:** JAX - **Target Framework:** PyTorch - **Model Architecture:** ResNet-10 (4-stage ResNet with basic blocks) - **Original Model:** HIL-SERL ResNet-10 - **Total Parameters:** 4,905,792 (~4.9M parameters) - **Hidden Sizes:** [64, 128, 256, 512] - **Input:** 3-channel RGB images (128x128) - **Embedding Size:** 64

• ALoDLM-8B-GGUF↗

  liodon-ai

• d1-omni-600M-MLX-fp16↗

  LiquidAI

• Agents-A1-4B↗

  litert-community

• gemma-4-E4B-it-MLX-4bit↗

  lmstudio-community

  _👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: google **Original model**: gemma-4-E4B-it **MLX quantization**: provided by LM Studio team using mlx_vlm 4-bit quantized version of gemma-4-E4B-it using MLX, optimized for Apple Silicon.

• Qwen3.5-9B-Q5_K_M.gguf↗

  Manojb

• ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instruct-v0.1-GGUF↗

  MaziyarPanahi

• Ayla-Light-12B-Stock-GGUF↗

  MaziyarPanahi