modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
microsoft/BiomedVLP-CXR-BERT-specialized | 2022-07-11T14:52:06.000Z | [
"transformers",
"pytorch",
"cxr-bert",
"feature-extraction",
"exbert",
"fill-mask",
"custom_code",
"en",
"arxiv:2204.09817",
"arxiv:2103.00020",
"arxiv:2002.05709",
"license:mit",
"region:us"
] | fill-mask | microsoft | null | null | microsoft/BiomedVLP-CXR-BERT-specialized | 14 | 7,684 | transformers | 2022-05-11T17:20:52 | ---
language: en
tags:
- exbert
license: mit
pipeline_tag: fill-mask
widget:
- text: "Left pleural effusion with adjacent [MASK]."
example_title: "Radiology 1"
- text: "Heart size normal and lungs are [MASK]."
example_title: "Radiology 2"
inference: false
---
# CXR-BERT-specialized
[CXR-BERT](https://arxiv.org/ab... | 10,416 | [
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0.0264892578125,
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boomerchan/Magpie-13b | 2023-09-17T22:54:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"not-for-all-audiences",
"en",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | boomerchan | null | null | boomerchan/Magpie-13b | 7 | 7,684 | transformers | 2023-09-11T20:29:03 | ---
license: llama2
pipeline_tag: text-generation
language:
- en
tags:
- not-for-all-audiences
---
<center><h1>Magpie 13b</h1></center>
Magpie-13b is a Llama 2 merge made specifically for SillyTavern roleplays. This is the final result of approximately 2 weeks of merging and testing, and in my opinion it is the most c... | 1,807 | [
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0.03564453125,
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-0.00530242919921875,
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hfl/chinese-alpaca-2-7b | 2023-08-25T01:06:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hfl | null | null | hfl/chinese-alpaca-2-7b | 112 | 7,677 | transformers | 2023-07-31T03:53:55 | ---
license: apache-2.0
---
# Chinese-Alpaca-2-7B
**This is the full Chinese-Alpaca-2-7B model,which can be loaded directly for inference and full-parameter training.**
**Related models👇**
* Long context base models
* [Chinese-LLaMA-2-7B-16K (full model)](https://huggingface.co/ziqingyang/chinese-llama-2-7b-16k)
... | 2,754 | [
[
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0... |
naclbit/trinart_stable_diffusion_v2 | 2023-05-07T17:12:04.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | naclbit | null | null | naclbit/trinart_stable_diffusion_v2 | 314 | 7,675 | diffusers | 2022-09-08T10:18:16 | ---
inference: true
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
license: creativeml-openrail-m
---
## Please Note!
This model is NOT the 19.2M images Characters Model on TrinArt, but an improved version of the original Trin-sama Twitter bot model. This model is intended to retain the origina... | 4,752 | [
[
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hoskinson-center/proofGPT-v0.1-6.7B | 2023-02-15T19:09:41.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"text generation",
"causal-lm",
"en",
"dataset:hoskinson-center/proof-pile",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | hoskinson-center | null | null | hoskinson-center/proofGPT-v0.1-6.7B | 9 | 7,673 | transformers | 2023-02-04T23:35:52 | ---
language:
- en
tags:
- text generation
- pytorch
- causal-lm
- gpt_neox
license: mit
datasets:
- hoskinson-center/proof-pile
---
# ProofGPT-v0.1
# Model Description
ProofGPT-v0.1 is a 6.7B parameter language model based on the GPT-NeoX architecture and trained on the [proof-pile](https://huggingface.co/datasets/h... | 573 | [
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intfloat/e5-base | 2023-08-07T04:59:19.000Z | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"en",
"arxiv:2212.03533",
"arxiv:2104.08663",
"arxiv:2210.07316",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | intfloat | null | null | intfloat/e5-base | 15 | 7,664 | sentence-transformers | 2022-12-26T05:58:05 | ---
tags:
- mteb
- Sentence Transformers
- sentence-similarity
- sentence-transformers
model-index:
- name: e5-base
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revisi... | 67,552 | [
[
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timm/vit_base_patch16_224.orig_in21k_ft_in1k | 2023-05-06T00:00:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224.orig_in21k_ft_in1k | 1 | 7,657 | timm | 2022-12-22T07:26:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_base_patch16_224.orig_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in JAX by paper authors, ported... | 3,394 | [
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meta-math/MetaMath-70B-V1.0 | 2023-10-11T02:44:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:meta-math/MetaMathQA",
"arxiv:2309.12284",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | meta-math | null | null | meta-math/MetaMath-70B-V1.0 | 10 | 7,657 | transformers | 2023-09-22T03:20:33 | ---
license: llama2
datasets:
- meta-math/MetaMathQA
---
arxiv.org/abs/2309.12284
View the project page:
https://meta-math.github.io/
# Citation
```bibtex
@article{yu2023metamath,
title={MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models},
author={Yu, Longhui and Jiang, Weisen and Shi... | 512 | [
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willyninja30/ARIA-70B-French | 2023-10-05T00:45:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"fr",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | willyninja30 | null | null | willyninja30/ARIA-70B-French | 0 | 7,653 | transformers | 2023-09-08T12:54:46 | ---
license: llama2
inference: true
language:
- fr
tags:
- pytorch
- code
---
# ARIA French is a model created from llama 2 70B finetuned on a french dataset.
# contact@faradaylab.fr if you need additional support or integration to your company data.
# Model Developers :FARADAY
# ARIA is the first version of our mo... | 2,448 | [
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stabilityai/sd-vae-ft-ema | 2023-06-05T16:27:31.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:mit",
"has_space",
"diffusers:AutoencoderKL",
"region:us"
] | null | stabilityai | null | null | stabilityai/sd-vae-ft-ema | 87 | 7,644 | diffusers | 2022-10-13T12:51:55 | ---
license: mit
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: false
---
# Improved Autoencoders
## Utilizing
These weights are intended to be used with the [🧨 diffusers library](https://github.com/huggingface/diffusers). If you are looking for the model to use with the original [CompVis Stable Dif... | 6,839 | [
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nlpie/tiny-clinicalbert | 2023-05-26T14:24:31.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"arxiv:2302.04725",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nlpie | null | null | nlpie/tiny-clinicalbert | 0 | 7,639 | transformers | 2023-02-10T10:36:05 | ---
title: README
emoji: 🏃
colorFrom: gray
colorTo: purple
sdk: static
pinned: false
license: mit
---
# Model Description
TinyClinicalBERT is a distilled version of the [BioClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) which is distilled for 3 epochs using a total batch size of 192 on the MIMI... | 1,641 | [
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migtissera/Synthia-7B-v1.2 | 2023-10-14T01:33:37.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | migtissera | null | null | migtissera/Synthia-7B-v1.2 | 10 | 7,638 | transformers | 2023-09-01T00:36:53 | ---
license: llama2
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
Change from Synthia-7B -> Synthia-7B-v1.2: Capable of generalized Tree of Thought + Chain of Thought reasoning.
All Synthia models are uncensored. Please use it with caution and with best intentions. You are responsible fo... | 5,544 | [
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euclaise/falcon_1b_stage3 | 2023-09-20T01:11:17.000Z | [
"transformers",
"pytorch",
"falcon",
"text-generation",
"generated_from_trainer",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | euclaise | null | null | euclaise/falcon_1b_stage3 | 0 | 7,636 | transformers | 2023-09-18T11:47:17 | ---
license: apache-2.0
base_model: euclaise/falcon_1b_stage2
tags:
- generated_from_trainer
model-index:
- name: falcon_1b_stage3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | 1,184 | [
[
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dpv/finetuned-gpt2-tiny | 2023-06-23T15:12:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:roneneldan/TinyStories",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | dpv | null | null | dpv/finetuned-gpt2-tiny | 1 | 7,635 | transformers | 2023-06-23T14:58:18 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- roneneldan/TinyStories
model-index:
- name: finetuned-gpt2-tiny
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this com... | 1,034 | [
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formulae/Dorflan | 2023-10-04T10:31:29.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"merge",
"slerp",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:conceptofmind/cot_submix_original",
"dataset:conceptofmind/t0_submix_original",
"dataset:conceptofmind/niv2_submix_original",
"dataset:conceptofmind/flan2021_submix_original",
... | text-generation | formulae | null | null | formulae/Dorflan | 0 | 7,632 | transformers | 2023-10-03T09:07:03 | ---
license: mit
datasets:
- Open-Orca/OpenOrca
- conceptofmind/cot_submix_original
- conceptofmind/t0_submix_original
- conceptofmind/niv2_submix_original
- conceptofmind/flan2021_submix_original
- ehartford/dolphin
language:
- en
tags:
- merge
- slerp
inference: false
metrics:
- accuracy
- bleu
---
<h1 style="text-al... | 2,270 | [
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TheBloke/OpenOrca-Platypus2-13B-GPTQ | 2023-09-27T12:45:43.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"dataset:Open-Orca/OpenOrca",
"arxiv:2308.07317",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:cc-by-nc-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/OpenOrca-Platypus2-13B-GPTQ | 50 | 7,631 | transformers | 2023-08-12T19:45:04 | ---
language:
- en
license: cc-by-nc-4.0
library_name: transformers
datasets:
- garage-bAInd/Open-Platypus
- Open-Orca/OpenOrca
model_name: OpenOrca Platypus2 13B
base_model: Open-Orca/OpenOrca-Platypus2-13B
inference: false
model_creator: Open-Orca
model_type: llama
pipeline_tag: text-generation
prompt_template: '### ... | 26,299 | [
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CompVis/stable-diffusion-v1-2 | 2023-07-05T16:18:11.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:2207.12598",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | CompVis | null | null | CompVis/stable-diffusion-v1-2 | 34 | 7,617 | diffusers | 2022-08-19T10:24:37 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: false
extra_gated_prompt: |-
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1.... | 13,995 | [
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jondurbin/airoboros-l2-7b-2.2.1 | 2023-09-21T18:39:31.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-2.2.1",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-7b-2.2.1 | 2 | 7,607 | transformers | 2023-09-20T17:26:33 | ---
license: llama2
datasets:
- jondurbin/airoboros-2.2.1
---
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This is essentially a minor "fix" branch of [airoboros-l2-7b-2.2](https://hf.co/jondurbin/airoboros-l2-7b-2.2) with a upda... | 18,657 | [
[
-0.0228424072265625,
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lyogavin/Anima-7B-100K | 2023-09-16T01:59:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"100k",
"7b",
"custom_code",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | lyogavin | null | null | lyogavin/Anima-7B-100K | 14 | 7,605 | transformers | 2023-09-14T14:47:16 | ---
license: apache-2.0
language:
- en
tags:
- llama2
- 100k
- 7b
---
Anima LLM supporting 100K input token length. It's trained based on Llama2 7B, so the license support commercial use!
We carefully curated long QA training dataset from 30k to 100k length to train this model. We also made a lot of memory optimizati... | 2,981 | [
[
-0.02056884765625,
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jondurbin/airoboros-c34b-2.2.1 | 2023-09-28T09:39:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-2.2.1",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-c34b-2.2.1 | 9 | 7,603 | transformers | 2023-09-19T20:22:58 | ---
license: llama2
datasets:
- jondurbin/airoboros-2.2.1
---
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This is essentially a minor "fix" branch of [airoboros-c34b-2.2](https://hf.co/jondurbin/airoboros-c34b-2.2) with a update... | 21,108 | [
[
-0.028076171875,
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-0.008453369140625,
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0.0232086181640625,
0.045501708984375,
-0.07000732421875,
-0.03411865234375,
-0.0290679931640625,
0... |
amazon/LightGPT | 2023-06-06T07:28:56.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"en",
"license:apache-2.0",
"has_space",
"region:us"
] | text-generation | amazon | null | null | amazon/LightGPT | 67 | 7,600 | transformers | 2023-05-24T00:57:41 | ---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
inference: false
---
# LightGPT-instruct-6B Model
LightGPT-instruct is a language model based on [GPT-J 6B](https://huggingface.co/EleutherAI/gpt-j-6b). It was instruction fine-tuned on the high quality, Apache-2.0 licensed
[OIG-small-chip2](https:/... | 5,262 | [
[
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0.038787841796875,
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-0.0280303955078125,
-0.03579711914062... |
wtang06/mpt-125m-c4 | 2023-10-16T22:10:45.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"custom_code",
"en",
"dataset:c4",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | wtang06 | null | null | wtang06/mpt-125m-c4 | 1 | 7,594 | transformers | 2023-09-27T21:24:01 | ---
license: apache-2.0
language:
- en
datasets:
- c4
---
# mpt-125m-c4
## Model Description
Pretrained model for MPT-125M trained on C4 dataset
## Training data
Trained on HuggingFace C4 dataset
## Training procedure
This model was trained on C4 for ~2.5B tokens. Training time was ~1 hour with 104 A100-40gb GPU... | 475 | [
[
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0.01132965087890625,
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-0.0118560791015625,
-0.041046142578125... |
pankajmathur/orca_mini_3b | 2023-07-13T06:30:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:psmathur/alpaca_orca",
"dataset:psmathur/dolly-v2_orca",
"dataset:psmathur/WizardLM_Orca",
"arxiv:2306.02707",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pankajmathur | null | null | pankajmathur/orca_mini_3b | 129 | 7,592 | transformers | 2023-06-22T23:13:17 | ---
license: cc-by-nc-sa-4.0
language:
- en
library_name: transformers
datasets:
- psmathur/alpaca_orca
- psmathur/dolly-v2_orca
- psmathur/WizardLM_Orca
pipeline_tag: text-generation
---
# orca_mini_3b
Use orca-mini-3b on Free Google Colab with T4 GPU :)
<a target="_blank" href="https://colab.research.google.com/#fi... | 8,100 | [
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totally-not-an-llm/EverythingLM-13b-V3-16k | 2023-09-23T23:30:34.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:totally-not-an-llm/EverythingLM-data-V3",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | totally-not-an-llm | null | null | totally-not-an-llm/EverythingLM-13b-V3-16k | 4 | 7,580 | transformers | 2023-09-23T01:18:48 | ---
license: llama2
datasets:
- totally-not-an-llm/EverythingLM-data-V3
---
# EverythingLM-13b-V3-16k
Introducing EverythingLM, a llama-2 based, general-purpose 13b model with 16k context thanks to LlongMa. The model is trained on the EverythingLM-V3 dataset, more info can be found on the dataset page.
The model is... | 1,404 | [
[
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-0.00619125366... |
mosaicml/mpt-7b-8k-instruct | 2023-10-30T21:53:57.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"custom_code",
"dataset:competition_math",
"dataset:conceptofmind/cot_submix_original/cot_gsm8k",
"dataset:knkarthick/dialogsum",
"dataset:mosaicml/dolly_hhrlhf",
"dataset:duorc",
"dataset:tau/scrol... | text-generation | mosaicml | null | null | mosaicml/mpt-7b-8k-instruct | 23 | 7,577 | transformers | 2023-06-18T22:32:42 | ---
license: cc-by-sa-3.0
datasets:
- competition_math
- conceptofmind/cot_submix_original/cot_gsm8k
- knkarthick/dialogsum
- mosaicml/dolly_hhrlhf
- duorc
- tau/scrolls/qasper
- emozilla/quality
- scrolls/summ_screen_fd
- spider
tags:
- Composer
- MosaicML
- llm-foundry
inference: false
---
# MPT-7B-Instruct-8k
MPT-... | 8,005 | [
[
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0.0241241455078125,
-0.0380859375,
-0.041015625,
-0.052490234375,
0.00... |
PygmalionAI/pygmalion-350m | 2023-01-11T23:44:13.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"convAI",
"conversational",
"en",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | PygmalionAI | null | null | PygmalionAI/pygmalion-350m | 49 | 7,576 | transformers | 2022-12-20T22:04:32 | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
inference: false
---
# pygmalion-350m
# Model description
This is a proof-of-concept fine-tune of Facebook's OPT-350M model optimized for dialogue, to be used as a stepping stone to higher parameter models.
**Disclaimer:** NSFW data was included in the fi... | 1,229 | [
[
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0.0345458984375,
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-0.01... |
ogkalu/Comic-Diffusion | 2023-05-10T17:20:27.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ogkalu | null | null | ogkalu/Comic-Diffusion | 466 | 7,571 | diffusers | 2022-10-28T15:27:32 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
V2 is here. Trained on 6 styles at once, it allows anyone to create unique but consistent styles by mixing any number of the tokens. Even changing the order of the same list influences results so there's a lot to experiment with here. This was created so anyo... | 1,597 | [
[
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-0.017059326171875,
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0.00380... |
ArthurZ/tiny-random-bert-sharded | 2022-06-17T08:07:42.000Z | [
"transformers",
"tf",
"bert",
"feature-extraction",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | feature-extraction | ArthurZ | null | null | ArthurZ/tiny-random-bert-sharded | 0 | 7,569 | transformers | 2022-06-17T07:49:01 | ---
tags:
- generated_from_keras_callback
model-index:
- name: tiny-random-bert-sharded
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# tiny-random-bert-sharded
Thi... | 887 | [
[
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0.03179931640625,
-0.04815673828125,
-0.028289794921875,
-0.0582275390625,
-0.0293273... |
facebook/dinov2-base-imagenet1k-1-layer | 2023-09-15T06:40:46.000Z | [
"transformers",
"pytorch",
"dinov2",
"image-classification",
"dino",
"vision",
"dataset:imagenet-1k",
"arxiv:2304.07193",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/dinov2-base-imagenet1k-1-layer | 0 | 7,563 | transformers | 2023-09-14T19:59:55 | ---
license: apache-2.0
tags:
- dino
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (base-sized model) trained using DINOv2
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper [DINOv2: Learning Robust Visual Features without Supervision](https://arxiv.org/abs/2304... | 3,364 | [
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Yntec/Photosphere | 2023-07-14T23:22:58.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Noosphere",
"Dreamlike",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Photosphere | 2 | 7,562 | diffusers | 2023-07-14T22:54:19 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Noosphere
- Dreamlike
---
# Photosphere
A mix of Noosphere v3 by skumerz and photorealistic models.
Original page:
https://civitai.com/models/3653... | 343 | [
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0.0052032470703125,
-0.028... |
heegyu/LIMA-13b-hf | 2023-08-01T12:49:55.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/LIMA-13b-hf | 1 | 7,562 | transformers | 2023-08-01T12:29:28 | ---
license: other
---
LLaMA-13B converted to work with Transformers/HuggingFace. This is under a special license, please see the LICENSE file for details.
--
license: other
---
# LLaMA Model Card
## Model details
**Organization developing the model**
The FAIR team of Meta AI.
**Model date**
LLaMA was trained betwe... | 8,309 | [
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... |
heegyu/LIMA2-7b-hf | 2023-08-04T07:53:14.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"arxiv:2307.09288",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/LIMA2-7b-hf | 1 | 7,562 | transformers | 2023-08-04T06:55:07 | ---
extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Llama 2 on Hugging Face after you have been
granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads) and accept our
license te... | 10,449 | [
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0.0224609375,
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0.00... |
heegyu/WizardVicuna2-13b-hf | 2023-08-07T12:16:04.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"arxiv:2307.09288",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/WizardVicuna2-13b-hf | 0 | 7,543 | transformers | 2023-08-07T11:35:08 | ---
extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Llama 2 on Hugging Face after you have been
granted access from Meta. Please visit the [Meta
website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
and accept our license ... | 10,520 | [
[
-0.0169525146484375,
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0.004924774169921875,
0.0221099853515625,
-0.05401611328125,
-0.04248046875,
-0.048492431640625,
0... |
heegyu/WizardVicuna-3B-0719 | 2023-08-09T12:08:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:heegyu/wizard_vicuna_70k_v2",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/WizardVicuna-3B-0719 | 0 | 7,542 | transformers | 2023-07-23T02:51:40 | ---
license: apache-2.0
language:
- en
datasets:
- heegyu/wizard_vicuna_70k_v2
---
Base Model: [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/open_llama_3b)
Usage
```
### Human:
your instruction
### ASSISANT:
output will be generated and ended with <|endoftext|>
``` | 294 | [
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0... |
teknium/OpenHermes-7B | 2023-09-24T11:03:27.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"instruct",
"finetune",
"alpaca",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:teknium/openhermes",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | teknium | null | null | teknium/OpenHermes-7B | 9 | 7,540 | transformers | 2023-09-14T10:22:23 | ---
base_model: NousResearch/Llama-2-7b-hf
tags:
- llama-2
- instruct
- finetune
- alpaca
- gpt4
- synthetic data
- distillation
datasets:
- teknium/openhermes
model-index:
- name: openhermes-7b
results: []
license: mit
language:
- en
---
# OpenHermes-7B

## Model Details
### Model Description
<!-- Provide a longer summary of what this... | 1,504 | [
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... |
ItsJayQz/GTA5_Artwork_Diffusion | 2023-01-28T01:05:18.000Z | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"grand theft auto",
"game",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ItsJayQz | null | null | ItsJayQz/GTA5_Artwork_Diffusion | 105 | 7,520 | diffusers | 2022-12-13T03:04:55 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- diffusers
- grand theft auto
- game
inference: true
---
### GTA5 Artwork Diffusion
This model was trained on the loading screens, gta storymode, and gta online DLCs artworks.
Which includes characters, background, chop, and so... | 3,147 | [
[
-0.045196533203125,
-0.0675048828125,
0.06158447265625,
0.0305023193359375,
-0.022735595703125,
0.0243988037109375,
0.01641845703125,
-0.05828857421875,
0.0247039794921875,
0.044403076171875,
-0.046722412109375,
-0.05401611328125,
-0.03863525390625,
-0.02027... |
Lykon/dreamshaper-7 | 2023-08-26T16:49:11.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"anime",
"dreamshaper",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Lykon | null | null | Lykon/dreamshaper-7 | 12 | 7,519 | diffusers | 2023-08-26T16:49:11 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- anime
- dreamshaper
duplicated_from: lykon-models/dreamshaper-7
---
# Dreamshaper 7
`lykon-models/dreamshaper-7` is a Stable Diffusion model that has been fine-tuned o... | 2,412 | [
[
-0.0261383056640625,
-0.041748046875,
0.041473388671875,
0.0214691162109375,
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0.007770538330078125,
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0.0467529296875,
-0.0318603515625,
-0.032379150390625,
-0.05126953125,
0.00625228881... |
PygmalionAI/pygmalion-1.3b | 2023-06-27T05:36:50.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"gpt_neox",
"text-generation",
"text generation",
"conversational",
"en",
"license:agpl-3.0",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | PygmalionAI | null | null | PygmalionAI/pygmalion-1.3b | 54 | 7,512 | transformers | 2022-12-25T17:54:27 | ---
license: agpl-3.0
language:
- en
thumbnail:
tags:
- text generation
- conversational
inference: false
---
# Pygmalion 1.3B
## Model description
Pymalion 1.3B is a proof-of-concept dialogue model based on EleutherAI's [pythia-1.3b-deduped](https://huggingface.co/EleutherAI/pythia-1.3b-deduped).
**Warning:** Thi... | 2,452 | [
[
-0.0216064453125,
-0.0704345703125,
0.0203704833984375,
0.009002685546875,
-0.034423828125,
-0.024871826171875,
-0.006046295166015625,
-0.0288238525390625,
0.01508331298828125,
0.034088134765625,
-0.06683349609375,
-0.0227508544921875,
-0.0264739990234375,
-... |
facebook/deit-small-patch16-224 | 2022-07-13T11:41:40.000Z | [
"transformers",
"pytorch",
"tf",
"vit",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/deit-small-patch16-224 | 2 | 7,508 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
datasets:
- imagenet-1k
---
# Data-efficient Image Transformer (small-sized model)
Data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper... | 7,285 | [
[
-0.05706787109375,
-0.032958984375,
0.00446319580078125,
0.00269317626953125,
-0.02789306640625,
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-0.00885009765625,
-0.0384521484375,
0.0261383056640625,
0.0172576904296875,
-0.0290069580078125,
-0.02447509765625,
-0.060546875,
0.000207424... |
TheLastBen/Pikachu_SDXL | 2023-08-29T10:35:30.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"region:us",
"has_space"
] | text-to-image | TheLastBen | null | null | TheLastBen/Pikachu_SDXL | 1 | 7,504 | diffusers | 2023-08-12T15:22:27 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: pikachu
widget:
- text: pikachu
---
### Pikachu
#### SDXL LoRA by TheLastBen
#### Prompts to start with :
closeup on pikachu on a pirate s... | 2,995 | [
[
-0.06256103515625,
-0.0297698974609375,
0.01151275634765625,
0.05352783203125,
-0.0240020751953125,
-0.0004363059997558594,
0.00319671630859375,
-0.046051025390625,
0.1026611328125,
0.003345489501953125,
-0.05816650390625,
-0.0164947509765625,
-0.04730224609375,... |
facebook/esm2_t36_3B_UR50D | 2022-12-01T20:22:22.000Z | [
"transformers",
"pytorch",
"tf",
"esm",
"fill-mask",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | facebook | null | null | facebook/esm2_t36_3B_UR50D | 10 | 7,500 | transformers | 2022-10-13T12:38:30 | ---
license: mit
widget:
- text: "MQIFVKTLTGKTITLEVEPS<mask>TIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG"
---
## ESM-2
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. F... | 1,705 | [
[
-0.029815673828125,
-0.041015625,
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0.00994873046875,
-0.03546142578125,
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0.0285186767578125,
-0.056793212890625,
-0.03656005859375,
-0.064208984375,
0.005741119384... |
speechlessai/speechless-llama2-dolphin-orca-platypus-13b | 2023-09-29T20:18:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"dataset:ehartford/dolphin",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2307.09288",
"text-generation-inference",
"region:us"
] | text-generation | speechlessai | null | null | speechlessai/speechless-llama2-dolphin-orca-platypus-13b | 1 | 7,500 | transformers | 2023-09-16T09:08:57 | ---
extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Llama 2 on Hugging Face after you have been
granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads) and accept our
license te... | 10,772 | [
[
-0.0172271728515625,
-0.051483154296875,
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0.0208587646484375,
-0.052459716796875,
-0.0406494140625,
-0.05157470703125,
0.0... |
totally-not-an-llm/PuddleJumper-13b-V2 | 2023-09-25T01:16:26.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:totally-not-an-llm/EverythingLM-data-V3",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | totally-not-an-llm | null | null | totally-not-an-llm/PuddleJumper-13b-V2 | 1 | 7,491 | transformers | 2023-09-21T03:42:01 | ---
license: other
datasets:
- totally-not-an-llm/EverythingLM-data-V3
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
---
Merge of EverythingLM-V3-13b QLoRa and OpenOrca-Platypus2-13B.
### Prompt format:
```
USER: <prompt>
ASSISTANT:
```
### Quants:
https://huggingface.co/TheBloke/PuddleJumper-13B-V2-GGUF
https:... | 427 | [
[
-0.022613525390625,
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0.03466796875,
0.04046630859375,
-0.035369873046875,
-0.02117919921875,
-0.0338134765625,
-0.0095901489... |
speechlessai/speechless-codellama-airoboros-orca-platypus-13b | 2023-09-22T05:33:29.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.12950",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | speechlessai | null | null | speechlessai/speechless-codellama-airoboros-orca-platypus-13b | 0 | 7,488 | transformers | 2023-09-19T09:29:53 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
tags:
- llama-2
license: llama2
---
<p><h1> speechless-codellama-airoboros-orca-platypus-13b </h1></p>
Use the following dataset to fine-tune codellama/Cod... | 7,825 | [
[
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0.0220947265625,
0.03778076171875,
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-0.01459503173828125,
-0.043304443359375,
0.0183563232421875,
0.034332275390625,
-0.0313720703125,
-0.046875,
-0.04132080078125,
0.01615905... |
FreedomIntelligence/phoenix-inst-chat-7b | 2023-05-31T09:12:13.000Z | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | FreedomIntelligence | null | null | FreedomIntelligence/phoenix-inst-chat-7b | 44 | 7,484 | transformers | 2023-04-11T13:39:18 | ---
license: apache-2.0
---
Please see our [LLMZoo](https://github.com/FreedomIntelligence/LLMZoo) project: https://github.com/FreedomIntelligence/LLMZoo. | 154 | [
[
-0.045623779296875,
-0.00772857666015625,
0.04022216796875,
0.029754638671875,
-0.01439666748046875,
0.006221771240234375,
0.0086669921875,
-0.016510009765625,
0.04248046875,
0.035003662109375,
-0.05975341796875,
-0.057525634765625,
-0.04302978515625,
-0.018... |
flaubert/flaubert_small_cased | 2021-05-19T16:56:07.000Z | [
"transformers",
"pytorch",
"flaubert",
"fill-mask",
"bert",
"language-model",
"flue",
"french",
"flaubert-small",
"cased",
"fr",
"dataset:flaubert",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | flaubert | null | null | flaubert/flaubert_small_cased | 1 | 7,474 | transformers | 2022-03-02T23:29:05 | ---
language: fr
license: mit
datasets:
- flaubert
metrics:
- flue
tags:
- bert
- language-model
- flaubert
- flue
- french
- flaubert-small
- cased
---
# FlauBERT: Unsupervised Language Model Pre-training for French
**FlauBERT** is a French BERT trained on a very large and heterogeneous French corpus. Models of di... | 4,472 | [
[
-0.0251922607421875,
-0.055450439453125,
0.0262451171875,
0.01352691650390625,
-0.00099945068359375,
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-0.0203399658203125,
-0.007904052734375,
0.0252227783203125,
0.03680419921875,
-0.030914306640625,
-0.035552978515625,
-0.04705810546875,
... |
uukuguy/speechless-codellama-dolphin-orca-platypus-34b | 2023-10-08T08:32:33.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"code",
"en",
"dataset:ehartford/dolphin",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.12950",
"license:llama2",
"model-index",
"endpoints_compatible",
"text-generation-inference",
"re... | text-generation | uukuguy | null | null | uukuguy/speechless-codellama-dolphin-orca-platypus-34b | 6 | 7,467 | transformers | 2023-09-07T12:07:35 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- ehartford/dolphin
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
results:
- task:
type: text-generation
dataset:
type: openai_humanev... | 8,148 | [
[
-0.032196044921875,
-0.050750732421875,
0.0201873779296875,
0.041595458984375,
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-0.0127410888671875,
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0.0213623046875,
0.030029296875,
-0.030670166015625,
-0.04766845703125,
-0.042449951171875,
0.01... |
cerebras/Cerebras-GPT-2.7B | 2023-04-07T13:51:01.000Z | [
"transformers",
"pytorch",
"gpt2",
"causal-lm",
"text-generation",
"en",
"dataset:the_pile",
"arxiv:2304.03208",
"arxiv:2203.15556",
"arxiv:2101.00027",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cerebras | null | null | cerebras/Cerebras-GPT-2.7B | 41 | 7,466 | transformers | 2023-03-20T20:44:46 | ---
language:
- en
inference: false
tags:
- pytorch
- causal-lm
license: apache-2.0
datasets:
- the_pile
pipeline_tag: text-generation
---
# Cerebras-GPT 2.7B
Check out our [Blog Post](https://www.cerebras.net/cerebras-gpt) and [arXiv paper](https://arxiv.org/abs/2304.03208)!
## Model Description
The Cerebras-GPT fa... | 12,575 | [
[
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0.0181884765625,
0.0133056640625,
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-0.0160675048828125,
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0.0215301513671875,
-0.028045654296875,
-0.03033447265625,
-0.05621337890625,
-0.01... |
TheBloke/Genz-70b-GPTQ | 2023-09-27T12:46:24.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Genz-70b-GPTQ | 35 | 7,463 | transformers | 2023-08-26T16:33:48 | ---
language:
- en
license: llama2
library_name: transformers
model_name: GenZ 70B
base_model: budecosystem/genz-70b
inference: false
model_creator: Bud
model_type: llama
pipeline_tag: text-generation
prompt_template: '### User:
{prompt}
### Assistant:
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- ... | 24,172 | [
[
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0.02777099609375,
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-0.0229949951171875,
0.00... |
SCUT-DLVCLab/lilt-roberta-en-base | 2023-08-31T07:59:36.000Z | [
"transformers",
"pytorch",
"safetensors",
"lilt",
"feature-extraction",
"vision",
"arxiv:2202.13669",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | SCUT-DLVCLab | null | null | SCUT-DLVCLab/lilt-roberta-en-base | 14 | 7,458 | transformers | 2022-09-29T14:06:32 | ---
license: mit
tags:
- vision
---
# LiLT-RoBERTa (base-sized model)
Language-Independent Layout Transformer - RoBERTa model by stitching a pre-trained RoBERTa (English) and a pre-trained Language-Independent Layout Transformer (LiLT) together. It was introduced in the paper [LiLT: A Simple yet Effective Language-I... | 2,078 | [
[
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0.0284271240234375,
0.0183563232421875,
-0.050994873046875,
-0.024261474609375,
-0.050994873046875... |
stabilityai/stablelm-base-alpha-3b | 2023-10-19T04:58:32.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"en",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | stabilityai | null | null | stabilityai/stablelm-base-alpha-3b | 82 | 7,458 | transformers | 2023-04-17T22:14:52 | ---
language:
- en
license:
- cc-by-sa-4.0
tags:
- causal-lm
---
# StableLM-Base-Alpha
📢 **DISCLAIMER**: The StableLM-Base-Alpha models have been superseded. Find the latest versions in the Stable LM Collection [here](https://huggingface.co/collections/stabilityai/stable-lm-650852cfd55dd4e15cdcb30a).
## Model Descr... | 3,979 | [
[
-0.0177001953125,
-0.06414794921875,
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-0.023040771484375,
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-0.0231170654296875,
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0.007343292236328125,
0.0181732177734375,
-0.0247039794921875,
-0.042755126953125,
-0.04400634765625,
... |
winglian/basilisk-4b | 2023-09-25T22:16:55.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:Open-Orca/OpenOrca",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | winglian | null | null | winglian/basilisk-4b | 4 | 7,449 | transformers | 2023-09-21T11:41:09 | ---
datasets:
- Open-Orca/OpenOrca
library_name: transformers
tags:
- llama
---
# Basilisk 4B
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
Built o... | 5,160 | [
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0.0024356842041015625,
-0.050445556640625,
-0.046356201171875,
-0.05023193359375,
... |
facebook/deit-tiny-patch16-224 | 2022-07-13T11:53:31.000Z | [
"transformers",
"pytorch",
"tf",
"vit",
"image-classification",
"dataset:imagenet",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | facebook | null | null | facebook/deit-tiny-patch16-224 | 1 | 7,432 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
datasets:
- imagenet
---
# Data-efficient Image Transformer (tiny-sized model)
Data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper [Tr... | 7,279 | [
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... |
LiYuan/amazon-review-sentiment-analysis | 2022-04-30T22:03:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | LiYuan | null | null | LiYuan/amazon-review-sentiment-analysis | 18 | 7,431 | transformers | 2022-04-30T20:37:44 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-mnli-amazon-query-shopping
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... | 3,515 | [
[
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zarakiquemparte/kuchiki-1.1-l2-7b | 2023-09-16T00:33:38.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/kuchiki-1.1-l2-7b | 3 | 7,426 | transformers | 2023-09-15T21:47:46 | ---
license: other
tags:
- llama2
---
# Model Card: Kuchiki 1.1 L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (70%) as a base with [Airoboros L2 7B GPT4 2.0](https://huggingface.co/jondurbin/airoboros-l2-7b-gpt4-2.0) (30%) and the result of this merge was merg... | 1,700 | [
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allegro/herbert-base-cased | 2022-06-09T11:36:39.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"herbert",
"pl",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | allegro | null | null | allegro/herbert-base-cased | 10 | 7,425 | transformers | 2022-03-02T23:29:05 | ---
language: pl
tags:
- herbert
license: cc-by-4.0
---
# HerBERT
**[HerBERT](https://en.wikipedia.org/wiki/Zbigniew_Herbert)** is a BERT-based Language Model trained on Polish corpora
using Masked Language Modelling (MLM) and Sentence Structural Objective (SSO) with dynamic masking of whole words. For more details, ... | 3,271 | [
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0.008... |
timm/tf_efficientnet_b5.ns_jft_in1k | 2023-04-27T21:21:37.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.04252",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b5.ns_jft_in1k | 0 | 7,424 | timm | 2022-12-13T00:04:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b5.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | 4,606 | [
[
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-... |
zarakiquemparte/kuchiki-l2-7b | 2023-09-14T13:48:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/kuchiki-l2-7b | 7 | 7,415 | transformers | 2023-08-12T15:37:50 | ---
license: other
tags:
- llama2
---
# Model Card: Kuchiki L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (70%) as a base with [Airoboros L2 7B GPT4 2.0](https://huggingface.co/jondurbin/airoboros-l2-7b-gpt4-2.0) (30%) and the result of this merge was merged w... | 1,559 | [
[
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0.0253753662109375,
0.060546875,
-0.052825927734375,
-0.037445068359375,
-0.043701171875,
-0.012718... |
replit/replit-code-v1_5-3b | 2023-10-20T14:45:45.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"code",
"Composer",
"MosaicML",
"llm-foundry",
"StreamingDatasets",
"custom_code",
"dataset:bigcode/the-stack-dedup",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | replit | null | null | replit/replit-code-v1_5-3b | 234 | 7,415 | transformers | 2023-10-09T18:59:50 | ---
license: apache-2.0
datasets:
- bigcode/the-stack-dedup
- togethercomputer/RedPajama-Data-1T
tags:
- code
- Composer
- MosaicML
- llm-foundry
- StreamingDatasets
language:
- code
---
# Replit Code V-1.5 3B
Developed by: Replit, Inc.
## Model Description
Replit Code v1.5 is a 3.3B parameter Causa... | 4,557 | [
[
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... |
zarakiquemparte/zararp-1.1-l2-7b | 2023-09-14T12:37:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zararp-1.1-l2-7b | 2 | 7,413 | transformers | 2023-09-14T11:05:31 | ---
license: other
tags:
- llama2
---
# Model Card: ZaraRP 1.1 L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (53%) as a base with [Stable Beluga 7b](https://huggingface.co/stabilityai/StableBeluga-7B) (47%) and the result of this merge was merged with [LimaRP ... | 1,919 | [
[
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0.0248565673828125,
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0.0341796875,
0.06683349609375,
-0.06414794921875,
-0.0283050537109375,
-0.037750244140625,
-0.010482788... |
timm/efficientnet_b5.sw_in12k_ft_in1k | 2023-04-27T21:11:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b5.sw_in12k_ft_in1k | 2 | 7,412 | timm | 2022-12-12T23:57:29 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for efficientnet_b5.sw_in12k_ft_in1k
A EfficientNet image classification model. Pretrained on ImageNet-12k and fine-tuned on ImageNet-1k by Ross Wightman in `timm` using recipe templat... | 4,402 | [
[
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-0.03680419921875,
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0.019012451171875,
0.0267333984375,
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-0.0450439453125,
-0.055633544921875,
-0.... |
jsylee/scibert_scivocab_uncased-finetuned-ner | 2021-11-22T03:52:41.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"Named Entity Recognition",
"SciBERT",
"Adverse Effect",
"Drug",
"Medical",
"en",
"dataset:ade_corpus_v2",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | jsylee | null | null | jsylee/scibert_scivocab_uncased-finetuned-ner | 11 | 7,397 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- Named Entity Recognition
- SciBERT
- Adverse Effect
- Drug
- Medical
datasets:
- ade_corpus_v2
widget:
- text: "Abortion, miscarriage or uterine hemorrhage associated with misoprostol (Cytotec), a labor-inducing drug."
example_title: "Abortion, miscarriage, ..."
- text: "Addiction to man... | 2,333 | [
[
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0.03411865234375,
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0.01146697998046875,
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0.035003662109375,
0.04217529296875,
-0.028900146484375,
-0.053558349609375,
-0.059539794921... |
nomic-ai/gpt4all-j | 2023-06-02T22:29:39.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"en",
"dataset:nomic-ai/gpt4all-j-prompt-generations",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | nomic-ai | null | null | nomic-ai/gpt4all-j | 257 | 7,395 | transformers | 2023-04-11T15:39:16 | ---
license: apache-2.0
datasets:
- nomic-ai/gpt4all-j-prompt-generations
language:
- en
pipeline_tag: text-generation
---
# Model Card for GPT4All-J
An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and stori... | 6,013 | [
[
-0.0416259765625,
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0.0229644775390625,
0.01071929931640625,
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0.0083770751953125,
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0.0208892822265625,
0.0176849365234375,
-0.040435791015625,
-0.038177490234375,
-0.041015625,
-0... |
timm/vit_large_patch16_224.augreg_in21k | 2023-05-06T00:15:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_large_patch16_224.augreg_in21k | 0 | 7,386 | timm | 2022-12-22T07:45:11 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for vit_large_patch16_224.augreg_in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, porte... | 3,807 | [
[
-0.0396728515625,
-0.030426025390625,
-0.0004210472106933594,
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0.0245819091796875,
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-0.036407470703125,
-0.0475158691406... |
TheBloke/llama-30b-supercot-SuperHOT-8K-fp16 | 2023-07-09T20:24:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/llama-30b-supercot-SuperHOT-8K-fp16 | 4 | 7,381 | transformers | 2023-06-29T00:15:45 | ---
inference: false
license: other
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style=... | 9,115 | [
[
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0... |
timm/resnet34.tv_in1k | 2023-04-05T18:07:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1512.03385",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/resnet34.tv_in1k | 0 | 7,375 | timm | 2023-04-05T18:07:16 | ---
tags:
- image-classification
- timm
library_tag: timm
license: bsd-3-clause
---
# Model card for resnet34.tv_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k, original to... | 37,871 | [
[
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... |
KoboldAI/GPT-NeoX-20B-Skein | 2022-09-26T19:19:21.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"arxiv:2204.06745",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/GPT-NeoX-20B-Skein | 9 | 7,367 | transformers | 2022-08-18T23:13:05 | ---
language: en
license: apache-2.0
---
# GPT-NeoX-20B-Skein
## Model description
Skein is a series of hybrid story generation models intended for use in both text adventure writing and normal novel-style writing. The models are known to possess a strong second person bias. For inquiries, please contact the KoboldAI c... | 2,470 | [
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0.006... |
sentence-transformers/msmarco-MiniLM-L-12-v3 | 2022-06-16T00:16:13.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-MiniLM-L-12-v3 | 14 | 7,347 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-MiniLM-L-12-v3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense... | 3,688 | [
[
-0.02362060546875,
-0.049346923828125,
0.018463134765625,
0.021148681640625,
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-0.0240631103515625,
-0.005863189697265625,
0.01488494873046875,
0.0256500244140625,
-0.04827880859375,
-0.0284423828125,
-0.049102783203125,
... |
bofenghuang/vigogne-2-7b-chat | 2023-10-16T14:03:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"LLM",
"llama-2",
"finetuned",
"fr",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | bofenghuang | null | null | bofenghuang/vigogne-2-7b-chat | 15 | 7,341 | transformers | 2023-07-29T21:16:01 | ---
license: llama2
language: fr
pipeline_tag: text-generation
inference: false
tags:
- LLM
- llama-2
- finetuned
---
<p align="center" width="100%">
<img src="https://huggingface.co/bofenghuang/vigogne-2-7b-chat/resolve/v2.0/logo_v2.jpg" alt="Vigogne" style="width: 30%; min-width: 300px; display: block; margin: auto;... | 7,630 | [
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0.0204620361328125,
0.0132293701171875,
-0.04119873046875,
-0.043914794921875,
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-0.... |
Writer/palmyra-20b-chat | 2023-08-28T17:46:10.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"chat",
"palmyra",
"en",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:Open-Orca/OpenOrca",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Writer | null | null | Writer/palmyra-20b-chat | 5 | 7,337 | transformers | 2023-08-23T18:29:54 | ---
datasets:
- WizardLM/WizardLM_evol_instruct_V2_196k
- Open-Orca/OpenOrca
language:
- en
tags:
- chat
- palmyra
---
# Writer/palmyra-20b-chat
---
# Usage
```py
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
model_name = "Writer/palmyra-20b-chat"
tokenizer = AutoTokenize... | 1,231 | [
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-0.00... |
microsoft/swinv2-tiny-patch4-window8-256 | 2022-12-10T10:01:54.000Z | [
"transformers",
"pytorch",
"swinv2",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swinv2-tiny-patch4-window8-256 | 4 | 7,330 | transformers | 2022-06-14T06:00:27 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 4,191 | [
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ehartford/samantha-mistral-instruct-7b | 2023-09-30T16:30:14.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/samantha-mistral-instruct-7b | 18 | 7,324 | transformers | 2023-09-30T06:12:21 | ---
license: apache-2.0
---
Trained on [mistral-7b-instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) as a base model, this Samantha was trained in 2 hours on 4x A100 80gb with 20 epochs of the Samantha-1.1 dataset.
My gratitude goes to my sponsors, a16z and Microsoft for Startups.
So, I decided to... | 2,186 | [
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0.009368... |
facebook/dino-vits8 | 2023-05-22T07:04:27.000Z | [
"transformers",
"pytorch",
"vit",
"feature-extraction",
"dino",
"vision",
"dataset:imagenet-1k",
"arxiv:2104.14294",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/dino-vits8 | 9 | 7,318 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- dino
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (small-sized model, patch size 8) trained using DINO
Vision Transformer (ViT) model trained using the DINO method. It was introduced in the paper [Emerging Properties in Self-Supervised Vision Transformers](https://arxiv.o... | 3,255 | [
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nlp-waseda/roberta-base-japanese | 2022-10-21T14:46:36.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nlp-waseda | null | null | nlp-waseda/roberta-base-japanese | 22 | 7,318 | transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。"
---
# nlp-waseda/roberta-base-japanese
## Model description
This is a Japanese RoBERTa base model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.
## How to... | 2,270 | [
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0.0040092... |
Narsil/deberta-large-mnli-zero-cls | 2021-08-23T13:27:24.000Z | [
"transformers",
"pytorch",
"deberta",
"text-classification",
"deberta-v1",
"deberta-mnli",
"zero-shot-classification",
"en",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | Narsil | null | null | Narsil/deberta-large-mnli-zero-cls | 11 | 7,312 | transformers | 2022-03-02T23:29:04 | ---
language: en
tags:
- deberta-v1
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
pipeline_tag: zero-shot-classification
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBE... | 3,888 | [
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0.02191162109375,
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-0.0255584716796875,
-0.06878662109375,
... |
PY007/TinyLlama-1.1B-intermediate-step-240k-503b | 2023-09-19T05:36:46.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | PY007 | null | null | PY007/TinyLlama-1.1B-intermediate-step-240k-503b | 15 | 7,301 | transformers | 2023-09-16T03:19:04 | ---
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
language:
- en
---
<div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achi... | 2,037 | [
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-0.0145721... |
hustvl/vitmatte-small-composition-1k | 2023-09-21T09:25:26.000Z | [
"transformers",
"pytorch",
"vitmatte",
"vision",
"arxiv:2305.15272",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | hustvl | null | null | hustvl/vitmatte-small-composition-1k | 1 | 7,295 | transformers | 2023-09-10T07:47:27 | ---
license: apache-2.0
tags:
- vision
---
# ViTMatte model
ViTMatte model trained on Composition-1k. It was introduced in the paper [ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers](https://arxiv.org/abs/2305.15272) by Yao et al. and first released in [this repository](https://github.com/h... | 1,716 | [
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... |
Helsinki-NLP/opus-mt-sk-en | 2023-08-16T12:04:00.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sk",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-sk-en | 0 | 7,292 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sk-en
* source languages: sk
* target languages: en
* OPUS readme: [sk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 816 | [
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0.0389404296875,
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-0.04351806640625,
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... |
facebook/blenderbot-3B | 2023-03-30T16:12:22.000Z | [
"transformers",
"pytorch",
"blenderbot",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | conversational | facebook | null | null | facebook/blenderbot-3B | 113 | 7,289 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
- facebook
license: apache-2.0
datasets:
- blended_skill_talk
metrics:
- perplexity
---
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes... | 1,451 | [
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-0.0195465087890625,
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... |
wavymulder/portraitplus | 2023-05-05T21:59:07.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | wavymulder | null | null | wavymulder/portraitplus | 289 | 7,284 | diffusers | 2022-12-23T16:04:26 | ---
language:
- en
thumbnail: "https://huggingface.co/wavymulder/portraitplus/resolve/main/imgs/page1.jpg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
---
**Portrait+**

Website and Demo: [... | 2,330 | [
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OpenBuddy/openbuddy-mistral-7b-v13-base | 2023-10-22T04:14:34.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | OpenBuddy | null | null | OpenBuddy/openbuddy-mistral-7b-v13-base | 5 | 7,280 | transformers | 2023-10-11T06:56:16 | ---
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- ru
pipeline_tag: text-generation
inference: false
library_name: transformers
license: apache-2.0
---
# ⚠️ About Base-series Models ⚠️
This is a part of the Base-series models, trained utilizing approximately 50% of conversational data. It embodies cognitive and dialo... | 2,893 | [
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... |
anton-l/wav2vec2-base-superb-sv | 2022-11-11T19:30:49.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio-xvector",
"speech",
"audio",
"audio-classification",
"en",
"dataset:superb",
"arxiv:2105.01051",
"arxiv:1910.09700",
"arxiv:2006.11477",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | anton-l | null | null | anton-l/wav2vec2-base-superb-sv | 1 | 7,277 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- wav2vec2
- audio-classification
license: apache-2.0
---
# Model Card for wav2vec2-base-superb-sv
# Model Details
## Model Description
- **Developed by:** Shu-wen Yang et al.
- **Shared by:** Anton Lozhkov
- **Model type:** Wav2Vec2 with an XVector h... | 5,578 | [
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CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o | 2023-10-07T06:15:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:huangyt/FINETUNE5",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o | 0 | 7,277 | transformers | 2023-10-01T23:45:51 | ---
license: llama2
datasets:
- huangyt/FINETUNE5
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用huangyt/FINETUNE5資料集進行訓練,總資料筆數約4w
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** huan... | 2,769 | [
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JosephusCheung/LL7M | 2023-07-24T03:31:30.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"en",
"zh",
"ja",
"de",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | JosephusCheung | null | null | JosephusCheung/LL7M | 34 | 7,275 | transformers | 2023-07-23T12:56:39 | ---
language:
- en
- zh
- ja
- de
tags:
- llama
- llama-2
license: cc-by-nc-nd-4.0
---
# **[WIP] Llama-like Long 7B Multilanguage**
This is a Llama-like generative text model with a scale of 7 billion, optimized for dialogue use cases and converted for the Hugging Face Transformers format. The model boasts strong sup... | 3,676 | [
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teknium/CollectiveCognition-v1.1-Mistral-7B | 2023-10-07T00:22:52.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"mistral-7b",
"instruct",
"finetune",
"gpt4",
"synthetic data",
"distillation",
"sharegpt",
"en",
"dataset:CollectiveCognition/chats-data-2023-09-27",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"... | text-generation | teknium | null | null | teknium/CollectiveCognition-v1.1-Mistral-7B | 57 | 7,265 | transformers | 2023-10-04T20:29:59 | ---
base_model: mistralai/Mistral-7B-v0.1
tags:
- mistral-7b
- instruct
- finetune
- gpt4
- synthetic data
- distillation
- sharegpt
datasets:
- CollectiveCognition/chats-data-2023-09-27
model-index:
- name: CollectiveCognition-v1-Mistral-7B
results: []
license: apache-2.0
language:
- en
---
**Collective Cognition v... | 5,185 | [
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-0... |
moka-ai/m3e-base | 2023-07-14T02:29:36.000Z | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"embedding",
"text-embedding",
"zh",
"en",
"has_space",
"region:us"
] | null | moka-ai | null | null | moka-ai/m3e-base | 654 | 7,262 | sentence-transformers | 2023-06-06T02:28:47 | ---
language:
- zh
- en
tags:
- embedding
- text-embedding
library_name: sentence-transformers
---
# 🅜 M3E Models
[m3e-small](https://huggingface.co/moka-ai/m3e-small) | [m3e-base](https://huggingface.co/moka-ai/m3e-base)
M3E 是 Moka Massive Mixed Embedding 的缩写
- Moka,此模型由 MokaAI 训练,开源和评测,训练脚本使用 [uniem](https://git... | 19,803 | [
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-0.008651... |
timm/mobilenetv3_small_050.lamb_in1k | 2023-04-27T22:49:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv3_small_050.lamb_in1k | 0 | 7,245 | timm | 2022-12-16T05:38:23 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv3_small_050.lamb_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer recipe that... | 4,426 | [
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0.025634765625,
0.03173828125,
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-0.04107666015625,
-0.01... |
facebook/nougat-base | 2023-09-25T19:24:39.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"vision",
"nougat",
"image-to-text",
"arxiv:2308.13418",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | facebook | null | null | facebook/nougat-base | 54 | 7,239 | transformers | 2023-09-21T08:39:24 | ---
license: apache-2.0
tags:
- vision
- nougat
pipeline_tag: image-to-text
---
# Nougat model, base-sized version
Nougat model trained on PDF-to-markdown. It was introduced in the paper [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/abs/2308.13418) by Blecher et al. and first release... | 1,982 | [
[
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0.0474853515625,
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-0.05694580078125,
... |
oliverguhr/fullstop-punctuation-multilingual-base | 2023-03-21T09:16:18.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"punctuation prediction",
"punctuation",
"en",
"de",
"fr",
"it",
"nl",
"multilingual",
"dataset:wmt/europarl",
"arxiv:2301.03319",
"license:mit",
"autotrain_compatible",
"endpoints_com... | token-classification | oliverguhr | null | null | oliverguhr/fullstop-punctuation-multilingual-base | 6 | 7,234 | transformers | 2022-03-22T09:03:02 | ---
language:
- en
- de
- fr
- it
- nl
- multilingual
tags:
- punctuation prediction
- punctuation
datasets: wmt/europarl
license: mit
widget:
- text: "Ondanks dat het nu bijna voorjaar is hebben we nog steds best koude dagen"
example_title: "Dutch"
- text: "Ho sentito che ti sei laureata il che mi fa molto piacere"
... | 2,355 | [
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0.0194854736328125,
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0.... |
medalpaca/medalpaca-7b | 2023-07-18T21:54:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"medical",
"en",
"arxiv:2303.14070",
"license:cc",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | medalpaca | null | null | medalpaca/medalpaca-7b | 35 | 7,221 | transformers | 2023-03-29T17:54:49 | ---
license: cc
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- medical
---
# MedAlpaca 7b
## Table of Contents
[Model Description](#model-description)
- [Architecture](#architecture)
- [Training Data](#trainig-data)
[Model Usage](#model-usage)
[Limitations](#limitations)
... | 3,470 | [
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0.01635742... |
dbmdz/bert-base-turkish-uncased | 2021-05-19T15:15:54.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"tr",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | dbmdz | null | null | dbmdz/bert-base-turkish-uncased | 14 | 7,218 | transformers | 2022-03-02T23:29:05 | ---
language: tr
license: mit
---
# 🤗 + 📚 dbmdz Turkish BERT model
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources an uncased model for Turkish 🎉
# 🇹🇷 BERTurk
BERTurk is a community-driven uncased BERT model for Turkish.
Some datasets used for pretraining and... | 2,880 | [
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Delcos/Mistral-Pygmalion-7b | 2023-10-19T17:43:10.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"Mistral",
"Pygmalion",
"llama-2",
"llama-2-7b",
"en",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Delcos | null | null | Delcos/Mistral-Pygmalion-7b | 7 | 7,218 | transformers | 2023-10-09T21:36:41 | ---
license: cc-by-nc-nd-4.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- Mistral
- Pygmalion
- llama-2
- llama-2-7b
---
# MistralPy-7b
This is a merger focusing on preserving the roleplay abilities of Pygmalion while gaining the improved results from Mistral. This model works best... | 1,025 | [
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... |
flair/upos-multi | 2023-03-06T11:18:52.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"en",
"de",
"fr",
"it",
"nl",
"pl",
"es",
"sv",
"da",
"no",
"fi",
"cs",
"dataset:ontonotes",
"region:us"
] | token-classification | flair | null | null | flair/upos-multi | 6 | 7,214 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language:
- en
- de
- fr
- it
- nl
- pl
- es
- sv
- da
- no
- fi
- cs
datasets:
- ontonotes
widget:
- text: "Ich liebe Berlin, as they say"
---
## Multilingual Universal Part-of-Speech Tagging in Flair (default model)
This is the default multilingua... | 4,755 | [
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... |
adept/persimmon-8b-chat | 2023-10-11T15:07:27.000Z | [
"transformers",
"pytorch",
"persimmon",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | adept | null | null | adept/persimmon-8b-chat | 37 | 7,214 | transformers | 2023-09-07T19:39:24 | ---
license: apache-2.0
---
At Adept, we’re working towards an AI agent that can help people do anything they need to do on a computer. We’re not in the business of shipping isolated language models (LMs)—this was an early output of the model scaling program that will support our products.
We trained it from scratch ... | 641 | [
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0.047607421875,
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-0.0... |
AtAndDev/ShortKing-1.4b-v0.1 | 2023-09-29T20:30:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"en",
"dataset:vicgalle/alpaca-gpt4",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AtAndDev | null | null | AtAndDev/ShortKing-1.4b-v0.1 | 2 | 7,209 | transformers | 2023-09-25T20:26:25 | ---
license: cc-by-nc-4.0
datasets:
- vicgalle/alpaca-gpt4
language:
- en
---
## Model Overview
Model license: cc-by-nc-4.0<br>
This model is trained based on [EleutherAI/pythia-1.4b-deduped](https://huggingface.co/EleutherAI/pythia-1.4b-deduped) model that is LoRA finetuned on [vicgalle/alpaca-gpt4](https://huggingfa... | 1,119 | [
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0.0237579345703125,
0.02813720703125,
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-0.01... |
akjindal53244/Mistral-7B-v0.1-Open-Platypus | 2023-10-19T02:09:14.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | akjindal53244 | null | null | akjindal53244/Mistral-7B-v0.1-Open-Platypus | 3 | 7,203 | transformers | 2023-10-05T22:48:41 | ---
license: apache-2.0
---
Model is instruction-finetuned using Open-Platypus dataset: https://huggingface.co/datasets/garage-bAInd/Open-Platypus
| 149 | [
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0.056243896484375,
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... |
KoboldAI/OPT-2.7B-Nerybus-Mix | 2023-02-10T05:38:20.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/OPT-2.7B-Nerybus-Mix | 9 | 7,198 | transformers | 2023-02-09T10:45:38 | ---
license: other
language:
- en
inference: false
---
# OPT-2.7B-Nerybus-Mix
This is an experimental model containing a ***parameter-wise 50/50 blend (weighted average)*** of the weights of *NerysV2-2.7B* and *ErebusV1-2.7B*
Preliminary testing produces pretty coherent outputs, it appears to retain the NSFWness of E... | 3,199 | [
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0.00... |
TheBloke/Lemur-70B-Chat-v1-GPTQ | 2023-09-27T12:46:36.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code",
"text-generation-inference",
"en",
"license:cc-by-nc-4.0",
"has_space",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Lemur-70B-Chat-v1-GPTQ | 3 | 7,196 | transformers | 2023-08-29T14:02:10 | ---
language:
- en
license: cc-by-nc-4.0
library_name: transformers
tags:
- text-generation
- code
- text-generation-inference
model_name: Lemur 70B Chat v1
base_model: OpenLemur/lemur-70b-chat-v1
inference: false
model_creator: OpenLemur
model_type: llama
pipeline_tag: text-generation
prompt_template: '<|im_start|>sys... | 18,071 | [
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0.026123046875,
-0.04339599609375,
-0.032684326171875,
-0.0254669189453125,
-0.00871... |
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