Tracked topic
… I have been trying to deploy deepseek-ai/DeepSeek-R1-Distill-Qwen-32B on inferentia with a context window higher than 4096 let's say MAX TOTAL TOKENS=8192 , but it seems there is no pre-compiled model for that. …
… MLA is not properly described in their paper, so it would be important to have code for this. · The code for the models are inside the model repositories, e.g. for V3: https://huggingface.co/deepseek-ai/DeepSeek-V3/blob/main/modeling deepseek.py Is it possible to contribute to this project? · Yes, … …
… According to DeepSeek's paper, DeepSeek-Distill-Qwen-7B's performance in MATH-500 and AIME24 is 92.8 and 55.5 respectively, which seems to be very different from the values in the table especially AIME24 . …
DeepSeek's reasoning skills are probably particularly useful for something like this. But in my mind, particularly for academic research type tasks, the propaganda baked into the model is a non-starter. I tested out the new DeepSeek-R1-Distill-Llama-70B-Uncensored-v2-Unbiased model yesterday. …
… Otherwise use reasoning-format flag and pass DeepSeek value to get pure tokens Now I can use llama.cpp all the time. …
… This podcast is generated via ngxson/kokoro-podcast-generator , using DeepSeek-R1 and Kokoro-TTS . …
… This podcast is generated via ngxson/kokoro-podcast-generator , using DeepSeek-R1 and Kokoro-TTS . when run this script: python -m mlx vlm.generate --model mlx-community/SmolVLM2-500M-Video-Instruct-mlx --image https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg --… …
… Hi HF team, this SmolLM3 post got me curious about why you chose APO over GRPO, so I dove into comparing approaches across SmolLM3, Tulu3, and DeepSeek-R1. …