Search Results for "python library"
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Showing 10 open source projects for "python library"
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rwkv.cpp
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
Besides the usual FP32, it supports FP16, quantized INT4, INT5 and INT8 inference. This project is focused on CPU, but cuBLAS is also supported. RWKV is a novel large language model architecture, with the largest model in the family having 14B parameters. In contrast to Transformer with O(n^2) attention, RWKV requires only state from the previous step to calculate logits. This makes RWKV very CPU-friendly on large context lengths. -
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GPT-NeoX
Implementation of model parallel autoregressive transformers on GPUs
This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we... -
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GPT Neo
An implementation of model parallel GPT-2 and GPT-3-style models
An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library. If you're just here to play with our pre-trained models, we strongly recommend you try out the HuggingFace Transformer integration. Training and inference is officially supported on TPU and should work on GPU as well. This repository will be (mostly) archived as we move focus to our GPU-specific repo, GPT-NeoX. NB, while neo can technically run a training step at 200B+ parameters, it is very... -
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stable-diffusion-v1-4
Text-to-image diffusion model for high-quality image generation
... Diffusers library and supports both PyTorch and JAX/Flax frameworks, offering flexibility across GPUs and TPUs. Though powerful, the model has limitations with compositional logic, photorealism, non-English prompts, and rendering accurate text or faces. Intended for research and creative exploration, it includes safety tools to detect NSFW content but may still reflect dataset biases. Users are advised to follow responsible AI practices and avoid harmful, unethical, or out-of-scope applications. -
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5
mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
mms-300m-1130-forced-aligner is a multilingual forced alignment model based on Meta’s MMS-300M wav2vec2 checkpoint, adapted for Hugging Face’s Transformers library. It supports forced alignment between audio and corresponding text across 158 languages, offering broad multilingual coverage. The model enables accurate word- or phoneme-level timestamping using Connectionist Temporal Classification (CTC) emissions. Unlike other tools, it provides significant memory efficiency compared... -
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ERNIE-4.5-0.3B-Base-PT
Compact 360M text model with high efficiency and fine-tuning support
... with support for SFT, LoRA, and DPO training methods, making it highly adaptable. Compatible with the Hugging Face Transformers library, the model can be easily used in Python for inference or deployed via FastDeploy. This variant emphasizes portability and accessibility, enabling fast deployment even on less powerful hardware. Ideal for developers seeking a smaller model for prototyping, educational use, or lightweight production tasks. -
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FLUX.1-dev
Powerful 12B parameter model for top-tier text-to-image creation
... scientific research and innovative creative workflows under a non-commercial license. It integrates smoothly with popular tools like the Diffusers library and ComfyUI, offering flexible options for local and cloud-based inference. The model supports generating large, detailed images up to 1024x1024 resolution with customizable parameters such as guidance scale and inference steps. -
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FLUX.1-schnell
12B-parameter image generator using fast rectified flow transformers
..., and personal use. The model can be accessed via the FluxPipeline in Hugging Face’s diffusers library and is compatible with local workflows like ComfyUI. Available through several inference providers including Replicate and fal.ai, FLUX.1-schnell is well-documented and supported for developers. While capable, the model is subject to limitations such as occasional prompt misalignment and potential amplification of societal biases, and it may not be used in harmful, exploitative, or deceptive applications. -
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Mistral-7B-Instruct-v0.2
Instruction-tuned 7B model for chat and task-oriented text generation
... mistral_common tokenizer or Hugging Face’s transformers library, and supports generation on GPUs with BF16 precision. Built on a transformer architecture without sliding-window attention, the model is optimized for fast inference and chat integration. Though it lacks moderation mechanisms, it showcases the capability of Mistral-7B as a base for further fine-tuning and safety tooling. Mistral-7B-Instruct-v0.2 is licensed under Apache 2.0 and widely used across open-source projects. -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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10
ERNIE-4.5-VL-28B-A3B-Paddle
Multimodal ERNIE 4.5 MoE model for image-text reasoning and chat
..., including Reinforcement Learning with Verifiable Rewards (RLVR), to enhance alignment and performance. Fine-tuned for real-world applications, it integrates language and vision through supervised learning, DPO, and UPO techniques. It supports long contexts up to 131,072 tokens and can be deployed using FastDeploy or the Hugging Face Transformers library. This version is ideal for developers needing high-performance, scalable multimodal capabilities in chat or image-based reasoning systems.
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