Contains 73 images used in Hugging Face library documentation, packaged in Parquet and imagefolder formats for examples, demos, and small-scale image experiments; distributed under CC BY‑NC‑SA 4.0.
Encodes sentences and short paragraphs into 384-dimensional semantic vectors for retrieval, clustering, and similarity tasks. Fine-tuned from MiniLM-L6-H384 on ~1.17B sentence pairs with a contrastive objective; defaults to 256 word-piece truncation.
Autoregressive transformer that generates English text from a prompt and can be fine-tuned for downstream NLP tasks. This is the 124M-parameter GPT-2 checkpoint (causal LM, byte-level BPE, 1024-token context) hosted on Hugging Face.
A compact pretrained bidirectional Transformer distilled from BERT base for masked language modeling and downstream NLP fine-tuning. Trained via knowledge distillation on BookCorpus and English Wikipedia, it reduces size/latency (≈67M params) while preserving BERT-like representations.
Benchmark dataset of ~8.5k grade-school math word problems with step-by-step solutions and calculator annotations for evaluating multi-step arithmetic reasoning in language models. Provided in two configs (main and socratic) and commonly used for chain-of-thought prompting, fine-tuning, and verifier training.
Canonical ILSVRC ImageNet-1k for 1,000-way image classification — provides roughly 1.2M labeled images (train/val/test) packaged as optimized Parquet for easy loading with Hugging Face Datasets, Dask, and Polars. Verify licensing and distribution constraints before use.
Fused CUDA kernels that compute exact attention without ever writing the full N×N score matrix to GPU memory, cutting memory from quadratic to linear and speeding up training and inference on A100/H100. Ships FlashAttention-2/3 plus KV-cache decode paths.
Runs pretrained diffusion models for image, video, and audio generation through composable pipelines. It separates pipelines, schedulers, models, adapters, and memory optimizations so teams can prototype quickly without locking into one model family.
Contains 40,000 teacher-generated reasoning traces distilled from the Qwen3.8-27B model for supervised fine-tuning and analysis. Covers code, math, science and logic; each example pairs a <think> chain-of-thought with a final response and is distributed in JSONL/Parquet for SFT workflows.
Rust-and-Python toolkit that serves open-source LLMs (Llama, Falcon, Mixtral, StarCoder) over HTTP/gRPC with tensor parallelism, continuous batching, Flash/Paged Attention and quantization. Now in maintenance mode, pointing users toward vLLM and SGLang.
Bundles ASR, voice activity detection, punctuation, and speaker diarization into one pipeline, with pretrained models like Paraformer and SenseVoice. SenseVoice runs ~17x realtime on CPU; also ships streaming ASR and an OpenAI-compatible API.
Curated, community-maintained collection of ready-to-use prompts — roles like interviewer, translator, and code reviewer — that copy directly into ChatGPT, Claude, Gemini, or local models. Available as CSV, markdown, and a Hugging Face dataset.