rbgo404 Goto Github PK

ai-infra-landscape

This is a landscape of the infrastructure that powers the generative AI ecosystem

animagine-xl-3.0

Animagine XL 3.0 is the latest version of the sophisticated open-source anime text-to-image model, building upon the capabilities of its predecessor, Animagine XL 2.0. Developed based on Stable Diffusion XL, this iteration boasts superior image generation with notable improvements.

asr-streaming

bark

Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying.

bge-base-en-v1.5

codeformer

codellama-34b

codellama-34b-python

codellama-70b

codellama-7b

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 7B Python specialist version in the Hugging Face Transformers format.

codellama13b-with-adaptor

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 13 instruct-tuned version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding.

comfyapi

command-r-v01

C4AI Command-R is a research release of a 35 billion parameter highly performant generative model. Command-R is a large language model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering.

decilm-7b

decilm-7b-1

docker_test

docs

dolphin-2.5-mixtral-8x7b-gptq

files

flan-ul2

gemma-2b-it

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants.

gfpgan

gguf-vllm

idefics-9b-instruct-8bit

IDEFICS (Image-aware Decoder Enhanced à la Flamingo with Interleaved Cross-attentionS) is an open-access reproduction of Flamingo, a closed-source visual language model developed by Deepmind. Like GPT-4, the multimodal model accepts arbitrary sequences of image and text inputs and produces text outputs.

inferless-docs

jamba-v0.1

Jamba is a state-of-the-art, hybrid SSM-Transformer LLM. It delivers throughput gains over traditional Transformer-based models, while outperforming or matching the leading models of its size class on most common benchmarks.

llama-2-13b-chat-gptq

Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 13B fine-tuned GPTQ quantized model, optimized for dialogue use cases.

llama-2-13b-hf

Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.

llama-2-70b-chat-gptq

About Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the 70B fine-tuned GPTQ quantized model, optimized for dialogue use cases.

llama-2-7b-chat

Llama 2 7B Chat is the smallest chat model in the Llama 2 family of large language models developed by Meta AI. This model has 7 billion parameters and was pretrained on 2 trillion tokens of data from publicly available sources. It has been fine-tuned on over one million human-annotated instruction datasets