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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OpenVINO/bert-base-uncased-sst2-int8-unstructured80 | 2023-03-06T14:08:48.000Z | [
"transformers",
"pytorch",
"openvino",
"bert",
"generated_from_trainer",
"en",
"dataset:glue",
"model-index",
"endpoints_compatible",
"region:us"
] | null | OpenVINO | null | null | OpenVINO/bert-base-uncased-sst2-int8-unstructured80 | 3 | 7,185 | transformers | 2023-03-06T05:02:23 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: yujiepan/bert-base-uncased-sst2-int8-unstructured80
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
config: sst2
... | 2,600 | [
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Yukang/Llama-2-7b-longlora-32k-ft | 2023-09-24T09:40:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.12307",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Yukang | null | null | Yukang/Llama-2-7b-longlora-32k-ft | 1 | 7,185 | transformers | 2023-09-12T09:46:31 | # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
<font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> </div></font>
**LongLoRA: Effici... | 7,594 | [
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squeezebert/squeezebert-uncased | 2020-12-11T22:02:17.000Z | [
"transformers",
"pytorch",
"squeezebert",
"arxiv:2006.11316",
"arxiv:1904.00962",
"endpoints_compatible",
"region:us"
] | null | squeezebert | null | null | squeezebert/squeezebert-uncased | 0 | 7,183 | transformers | 2022-03-02T23:29:05 | language: en
license: bsd
datasets:
- bookcorpus
- wikipedia
---
# SqueezeBERT pretrained model
This model, `squeezebert-uncased`, is a pretrained model for the English language using a masked language modeling (MLM) and Sentence Order Prediction (SOP) objective.
SqueezeBERT was introduced in [this paper](https://arx... | 3,698 | [
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eachadea/vicuna-7b-1.1 | 2023-05-02T09:08:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | eachadea | null | null | eachadea/vicuna-7b-1.1 | 109 | 7,182 | transformers | 2023-04-13T03:45:52 | ---
license: apache-2.0
inference: true
---
**delta v1.1 merge**
# Vicuna Model Card
## Model details
**Model type:**
Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
It is an auto-regressive language model, based on the transformer architecture.... | 1,669 | [
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anas-awadalla/mpt-1b-redpajama-200b-hf-style | 2023-09-02T06:41:10.000Z | [
"transformers",
"pytorch",
"mosaic_gpt",
"text-generation",
"custom_code",
"dataset:togethercomputer/RedPajama-Data-1T",
"arxiv:2302.13971",
"arxiv:2205.14135",
"arxiv:2108.12409",
"license:apache-2.0",
"region:us"
] | text-generation | anas-awadalla | null | null | anas-awadalla/mpt-1b-redpajama-200b-hf-style | 0 | 7,179 | transformers | 2023-09-02T04:42:19 | ---
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
---
# MPT-1b-RedPajama-200b
MPT-1b-RedPajama-200b is a 1.3 billion parameter decoder-only transformer trained on the [RedPajama dataset](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
The model was trained for 200B tokens by ... | 3,710 | [
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Envoid/Libra-19B | 2023-09-14T12:51:30.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Envoid | null | null | Envoid/Libra-19B | 1 | 7,179 | transformers | 2023-09-10T07:47:25 | ---
license: cc-by-nc-4.0
---
## Warning: This model may output adult content.
# Libra-19B
This model is made using [chargoddards's mergekit](https://github.com/cg123/mergekit/tree/main).
In this experiment I started with a very 'free' model [MLewd V2-2](https://huggingface.co/Undi95/MLewd-L2-13B-v2-2) and using the... | 4,535 | [
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... |
TheBloke/Mistral-7B-OpenOrca-AWQ | 2023-10-08T15:53:43.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-7B-OpenOrca-AWQ | 27 | 7,163 | transformers | 2023-10-02T14:27:49 | ---
base_model: Open-Orca/Mistral-7B-OpenOrca
datasets:
- Open-Orca/OpenOrca
inference: false
language:
- en
library_name: transformers
license: apache-2.0
model_creator: OpenOrca
model_name: Mistral 7B OpenOrca
model_type: mistral
pipeline_tag: text-generation
prompt_template: '<|im_start|>system
{system_message}<|... | 16,192 | [
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cardiffnlp/xlm-roberta-base-tweet-sentiment-pt | 2023-03-22T23:31:30.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | cardiffnlp | null | null | cardiffnlp/xlm-roberta-base-tweet-sentiment-pt | 3 | 7,159 | transformers | 2023-03-06T09:04:46 | # `cardiffnlp/xlm-roberta-base-tweet-sentiment-pt`
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the
[cardiffnlp/tweet_sentiment_multilingual](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual) (portuguese).
Following metrics are computed on... | 1,057 | [
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0.0023975372314... |
keremberke/yolov5n-license-plate | 2023-01-01T09:59:54.000Z | [
"yolov5",
"tensorboard",
"yolo",
"vision",
"object-detection",
"pytorch",
"dataset:keremberke/license-plate-object-detection",
"model-index",
"has_space",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov5n-license-plate | 12 | 7,156 | yolov5 | 2023-01-01T03:02:44 |
---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.6
inference: false
datasets:
- keremberke/license-plate-object-detection
model-index:
- name: keremberke/yolov5n-license-plate
results:
- task:
type: object-detection
dataset:
type: kerembe... | 2,082 | [
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OpenBuddy/openbuddy-mistral-7b-v13.1 | 2023-10-11T15:55:09.000Z | [
"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-v13.1 | 13 | 7,155 | transformers | 2023-10-11T15:26:48 | ---
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- ru
pipeline_tag: text-generation
inference: false
library_name: transformers
license: apache-2.0
---
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [... | 2,330 | [
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sentence-transformers/bert-base-nli-stsb-mean-tokens | 2022-06-15T20:01:00.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/bert-base-nli-stsb-mean-tokens | 1 | 7,154 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net ... | 3,972 | [
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sijunhe/nezha-cn-base | 2022-06-24T03:53:56.000Z | [
"transformers",
"pytorch",
"nezha",
"fill-mask",
"arxiv:1909.00204",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | sijunhe | null | null | sijunhe/nezha-cn-base | 9 | 7,140 | transformers | 2022-06-18T16:39:15 | ---
license: afl-3.0
---
**Please use 'Bert' related tokenizer classes and 'Nezha' related model classes**
[NEZHA: Neural Contextualized Representation for Chinese Language Understanding](https://arxiv.org/abs/1909.00204)
Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jian... | 782 | [
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kamalkraj/BioELECTRA-PICO | 2023-03-15T19:50:40.000Z | [
"transformers",
"pytorch",
"electra",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | kamalkraj | null | null | kamalkraj/BioELECTRA-PICO | 5 | 7,139 | transformers | 2022-03-02T23:29:05 | ---
widget:
- text: "Those in the aspirin group experienced reduced duration of headache compared to those in the placebo arm (P<0.05)"
---
BioELECTRA-PICO
Cite our paper using below citation
```
@inproceedings{kanakarajan-etal-2021-bioelectra,
title = "{B}io{ELECTRA}:Pretrained Biomedical text Encoder using D... | 1,770 | [
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Kernel/sd-nsfw | 2023-07-16T16:45:18.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"re... | text-to-image | Kernel | null | null | Kernel/sd-nsfw | 10 | 7,135 | diffusers | 2023-07-15T06:24:43 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
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. ... | 14,474 | [
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Doctor-Shotgun/mythospice-70b | 2023-09-14T15:17:15.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"not-for-all-audiences",
"en",
"text-generation-inference",
"region:us"
] | text-generation | Doctor-Shotgun | null | null | Doctor-Shotgun/mythospice-70b | 1 | 7,134 | transformers | 2023-09-13T18:14:43 | ---
inference: false
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- llama-2
- not-for-all-audiences
---
# Model Card: mythospice-70b
This is a Llama 2-based model consisting of a merge of several models using SLERP:
- [jondurbin/spicyboros-70b-2.2](https://huggingface.co/jondur... | 1,146 | [
[
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0.000567... |
Doctor-Shotgun/mythospice-limarp-70b | 2023-09-14T15:22:48.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"not-for-all-audiences",
"en",
"license:agpl-3.0",
"text-generation-inference",
"region:us"
] | text-generation | Doctor-Shotgun | null | null | Doctor-Shotgun/mythospice-limarp-70b | 0 | 7,132 | transformers | 2023-09-13T20:12:38 | ---
inference: false
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- llama-2
- not-for-all-audiences
license: agpl-3.0
---
# Model Card: mythospice-limarp-70b
This is a Llama 2-based model consisting of a merge of several models using SLERP:
- [jondurbin/spicyboros-70b-2.2](http... | 1,656 | [
[
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pucpr/biobertpt-all | 2022-11-27T16:54:34.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"pt",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | pucpr | null | null | pucpr/biobertpt-all | 13 | 7,131 | transformers | 2022-03-02T23:29:05 | ---
language: "pt"
widget:
- text: "O paciente recebeu [MASK] do hospital."
- text: "O médico receitou a medicação para controlar a [MASK]."
- text: "O principal [MASK] da COVID-19 é tosse seca."
- text: "O vírus da gripe apresenta um [MASK] constituído por segmentos de ácido ribonucleico."
thumbnail: "https://raw.git... | 4,035 | [
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Yukang/Llama-2-7b-longlora-16k-ft | 2023-09-24T09:40:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.12307",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Yukang | null | null | Yukang/Llama-2-7b-longlora-16k-ft | 0 | 7,113 | transformers | 2023-09-12T09:40:52 | # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
<font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> </div></font>
**LongLoRA: Effici... | 7,594 | [
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0.0194091796875,
0.03411865234375,
-0.0299224853515625,
-0.0236968994140625,
-0.036590576171875,
-0.0631103515625,
0.03802490234375,
0.0259857177734375,
-0.0484619140625,
-0.04229736328125,
-0.03515625,
0.0151672363281... |
garage-bAInd/Platypus2-13B | 2023-08-15T01:47:05.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | garage-bAInd | null | null | garage-bAInd/Platypus2-13B | 17 | 7,107 | transformers | 2023-08-05T00:12:12 | ---
license: cc-by-nc-sa-4.0
language:
- en
datasets:
- garage-bAInd/Open-Platypus
---
# Platypus2-13B
Platypus-13B is an instruction fine-tuned model based on the LLaMA2-13B transformer architecture.
### Benchmark Metrics
| Metric | Value |
|---------------------... | 4,873 | [
[
-0.023284912109375,
-0.06451416015625,
0.022552490234375,
0.032012939453125,
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0.0005736351013183594,
0.022857666015625,
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... |
caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16 | 2023-10-11T07:37:13.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"llama-2",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | caisarl76 | null | null | caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16 | 0 | 7,096 | transformers | 2023-10-06T12:53:08 | ---
pipeline_tag: text-generation
license: llama2
language:
- en
library_name: transformers
tags:
- MindsAndCompany
- llama-2
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [HuggingFace Transformers](https... | 3,401 | [
[
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microsoft/bloom-deepspeed-inference-fp16 | 2022-10-11T18:28:26.000Z | [
"transformers",
"bloom",
"feature-extraction",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | feature-extraction | microsoft | null | null | microsoft/bloom-deepspeed-inference-fp16 | 10 | 7,094 | transformers | 2022-08-17T21:01:05 | ---
license: bigscience-bloom-rail-1.0
---
This is a copy of the original [BLOOM weights](https://huggingface.co/bigscience/bloom) that is more efficient to use with the [DeepSpeed-MII](https://github.com/microsoft/deepspeed-mii) and [DeepSpeed-Inference](https://www.deepspeed.ai/tutorials/inference-tutorial/). In thi... | 781 | [
[
-0.018707275390625,
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-0.005573272705078125,
-0.0213470458984375,
0.0192413330078125,
0.0212860107421875,
-0.0648193359375,
-0.006992340087890625,
-0.025955200... |
budecosystem/boomer-1b | 2023-10-09T15:16:19.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | budecosystem | null | null | budecosystem/boomer-1b | 2 | 7,093 | transformers | 2023-10-03T17:33:10 | ---
license: apache-2.0
language:
- en
library_name: transformers
---
<div align="center"><img src="https://accubits-assests.s3.ap-south-1.amazonaws.com/boomer/Boomer-Png.png" width=200></div>
<p align="center"><i>Democratizing access to LLMs for the open-source community.<br>Let's advance AI, together. </i></p>
--... | 3,878 | [
[
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-0.044525146484375,
-0.00889... |
openaccess-ai-collective/jackalope-7b | 2023-10-12T08:21:34.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:LDJnr/LessWrong-Amplify-Instruct",
"dataset:LDJnr/Pure-Dove",
"dataset:LDJnr/Verified-Camel",
"dataset:PygmalionAI/PIPPA",
"dataset:meta-math/MetaMathQA",
"dataset:riddle_sense",
"arxiv:2306... | text-generation | openaccess-ai-collective | null | null | openaccess-ai-collective/jackalope-7b | 24 | 7,092 | transformers | 2023-10-07T16:08:42 | ---
datasets:
- Open-Orca/OpenOrca
- LDJnr/LessWrong-Amplify-Instruct
- LDJnr/Pure-Dove
- LDJnr/Verified-Camel
- PygmalionAI/PIPPA
- meta-math/MetaMathQA
- riddle_sense
language:
- en
library_name: transformers
pipeline_tag: text-generation
license: apache-2.0
---
<p><h1>🐰🦌 Jackalope 7B 🐰🦌</h1></p>
![Jackalope L... | 6,546 | [
[
-0.036590576171875,
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... |
petals-team/falcon-rw-1b | 2023-09-03T12:56:43.000Z | [
"transformers",
"safetensors",
"falcon",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2306.01116",
"arxiv:2005.14165",
"arxiv:2108.12409",
"arxiv:2205.14135",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | petals-team | null | null | petals-team/falcon-rw-1b | 1 | 7,083 | transformers | 2023-09-03T12:55:54 | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: false
license: apache-2.0
---
# Falcon-RW-1B
**Falcon-RW-1B is a 1B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 350B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb). It is mad... | 7,579 | [
[
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0.01503753662109375,
-0.048736572265625,
-0.0295562744140625,
-0.0570983886... |
admruul/anything-v3.0 | 2023-05-16T09:40:18.000Z | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | admruul | null | null | admruul/anything-v3.0 | 30 | 7,080 | diffusers | 2022-12-25T09:53:44 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: Linaqruf/anything-v3.0
---
# Anything V3
Welcome to Anything V3 - a latent diffusion model for weebs. This model is intended to produce high-quality, hig... | 3,328 | [
[
-0.03302001953125,
-0.06658935546875,
0.04156494140625,
0.035797119140625,
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LinkSoul/Chinese-Llama-2-7b | 2023-08-16T03:22:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"dataset:LinkSoul/instruction_merge_set",
"license:openrail",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | LinkSoul | null | null | LinkSoul/Chinese-Llama-2-7b | 274 | 7,077 | transformers | 2023-07-20T08:23:15 | ---
license: openrail
datasets:
- LinkSoul/instruction_merge_set
language:
- zh
- en
widget:
- text: "[INST] <<SYS>>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, ... | 3,542 | [
[
-0.0196990966796875,
-0.0701904296875,
0.0109100341796875,
0.04534912109375,
-0.055267333984375,
0.0063934326171875,
0.0020084381103515625,
-0.05413818359375,
0.029327392578125,
0.00555419921875,
-0.040802001953125,
-0.031402587890625,
-0.0537109375,
0.00621... |
timm/efficientnet_b4.ra2_in1k | 2023-04-27T21:10:49.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b4.ra2_in1k | 0 | 7,073 | timm | 2022-12-12T23:56:57 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b4.ra2_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired ... | 4,741 | [
[
-0.0280609130859375,
-0.035888671875,
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0.005382537841796875,
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0.0189208984375,
0.0322265625,
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-0.040191650390625,
-0.05682373046875,
-0.00833... |
beomi/KcELECTRA-base-v2022 | 2023-04-03T14:37:57.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"korean",
"ko",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | beomi | null | null | beomi/KcELECTRA-base-v2022 | 4 | 7,068 | transformers | 2022-03-24T05:38:50 | ---
language:
- ko
- en
tags:
- electra
- korean
license: "mit"
---
# 🚨 Important Note: This REPO is DEPRECATED since KcELECTRA-base v2023 Released 🚨
## USE `https://huggingface.co/beomi/KcELECTRA-base` and `v2022` Revision if needed.
---
# KcELECTRA: Korean comments ELECTRA
** Updates on 2022.10.08 **
- K... | 9,644 | [
[
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0.042999267578125,
0.02001953125,
-0.035369873046875,
-0.044342041015625,
-0.044647216796875,
0... |
adept/persimmon-8b-base | 2023-10-11T15:05:41.000Z | [
"transformers",
"pytorch",
"persimmon",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | adept | null | null | adept/persimmon-8b-base | 22 | 7,067 | transformers | 2023-09-07T19:39:16 | ---
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 ... | 529 | [
[
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0.060394287109375,
0.01070404052734375,
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0.043243408203125,
-0.033660888671875,
-0.0114898681640625,
-0.037811279296875... |
stablediffusionapi/the-talos-project | 2023-10-17T06:35:20.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/the-talos-project | 4 | 7,067 | diffusers | 2023-10-17T06:31:04 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# The Talos Project API Inference
## Get ... | 2,496 | [
[
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0.042083740234375,
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-0.041046142578125,
0.00422668... |
uukuguy/speechless-codellama-34b-v2.0 | 2023-10-13T11:46:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"code",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"arxiv:2308.12950",
"license:llama2",
"model-index",
"... | text-generation | uukuguy | null | null | uukuguy/speechless-codellama-34b-v2.0 | 6 | 7,066 | transformers | 2023-10-04T09:56:38 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
results:
- task:
type: text-ge... | 10,154 | [
[
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-0.0601806640625,
0.016265869140625,
0.037689208984375,
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0.0266571044921875,
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0.0146... |
uukuguy/speechless-codellama-34b-v1.9 | 2023-10-08T22:50:40.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"code",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"arxiv:2308.12950",
"license:llama2",
"model-index",
"... | text-generation | uukuguy | null | null | uukuguy/speechless-codellama-34b-v1.9 | 0 | 7,065 | transformers | 2023-10-04T11:06:04 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
results:
- task:
type: text-ge... | 9,138 | [
[
-0.032012939453125,
-0.05242919921875,
0.0208587646484375,
0.035400390625,
-0.00891876220703125,
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-0.0183563232421875,
-0.03680419921875,
0.020416259765625,
0.031829833984375,
-0.03411865234375,
-0.048919677734375,
-0.0423583984375,
0.013... |
cerebras/Cerebras-GPT-6.7B | 2023-04-07T13:51:31.000Z | [
"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-6.7B | 61 | 7,047 | transformers | 2023-03-20T20:45:13 | ---
language:
- en
inference: false
tags:
- pytorch
- causal-lm
license: apache-2.0
datasets:
- the_pile
pipeline_tag: text-generation
---
# Cerebras-GPT 6.7B
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... | 12,576 | [
[
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0.0136871337890625,
0.0217132568359375,
-0.02862548828125,
-0.0308837890625,
-0.055572509765625,
-... |
sentence-transformers/paraphrase-MiniLM-L12-v2 | 2022-06-15T20:18:46.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"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/paraphrase-MiniLM-L12-v2 | 4 | 7,036 | 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/paraphrase-MiniLM-L12-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional den... | 3,698 | [
[
-0.0172119140625,
-0.0546875,
0.028839111328125,
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0.0016317367553710938,
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0.032135009765625,
-0.041595458984375,
-0.0225067138671875,
-0.044464111328125,
0.00920... |
zarakiquemparte/zarablend-1.1-l2-7b | 2023-08-26T10:30:54.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zarablend-1.1-l2-7b | 1 | 7,034 | transformers | 2023-08-26T02:51:59 | ---
license: other
tags:
- llama2
---
# Model Card: Zarablend 1.1 L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (66%) as a base with [Airoboros L2 7B GPT4 2.0](https://huggingface.co/jondurbin/airoboros-l2-7b-gpt4-2.0) (34%) and the result of this merge was me... | 1,452 | [
[
-0.0298309326171875,
-0.035675048828125,
0.0183563232421875,
0.025970458984375,
-0.035400390625,
-0.02880859375,
0.024200439453125,
-0.0460205078125,
0.037872314453125,
0.0645751953125,
-0.06341552734375,
-0.0308990478515625,
-0.037567138671875,
-0.014694213... |
Helsinki-NLP/opus-tatoeba-fi-en | 2023-10-10T14:15:32.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"fi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-tatoeba-fi-en | 2 | 7,028 | transformers | 2022-03-02T23:29:04 | ---
language:
- fi
- en
tags:
- translation
license: apache-2.0
---
### fi-en
* source group: Finnish
* target group: English
* OPUS readme: [fin-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md)
* model: transformer-align
* source language(s): fin
* target language(s)... | 2,846 | [
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0.0... |
timm/convnextv2_huge.fcmae | 2023-03-31T23:13:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_huge.fcmae | 0 | 7,028 | timm | 2023-01-05T01:40:22 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_huge.fcmae
A ConvNeXt-V2 self-supervised feature representation model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE). This model has no pretrained head and is only useful for fin... | 15,749 | [
[
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Open-Orca/LlongOrca-13B-16k | 2023-08-21T05:15:08.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"arxiv:2307.09288",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Open-Orca | null | null | Open-Orca/LlongOrca-13B-16k | 11 | 7,025 | transformers | 2023-08-16T23:03:19 | ---
license: llama2
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- Open-Orca/OpenOrca
---
<p><h1>🐋 The Second Llong Context Orca! 🐋</h1></p>
# OpenOrca - LlongOr... | 7,790 | [
[
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-0.0253753662109375,
-0.0077... |
indolem/indobertweet-base-uncased | 2021-09-18T01:24:17.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"Twitter",
"id",
"dataset:Twitter 2021",
"arxiv:2109.04607",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | indolem | null | null | indolem/indobertweet-base-uncased | 9 | 7,022 | transformers | 2022-03-02T23:29:05 | ---
language:
- id
tags:
- Twitter
license: apache-2.0
datasets:
- Twitter 2021
widget:
- text: "guweehh udh ga' paham lg sm [MASK]"
---
# IndoBERTweet 🐦
## 1. Paper
Fajri Koto, Jey Han Lau, and Timothy Baldwin. [_IndoBERTweet: A Pretrained Language Model for Indonesian Twitter
with Effective Domain-Specific Vocabu... | 4,377 | [
[
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0.00... |
KoboldAI/GPT-J-6B-Skein | 2022-11-14T18:35:26.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/GPT-J-6B-Skein | 12 | 7,018 | transformers | 2022-03-02T23:29:04 | ---
tags:
- text-generation
---
# Model Card for GPT-J-6B-Skein
# Model Details
## Model Description
- **Developed by:** KoboldAI
- **Shared by [Optional]:** KoboldAI
- **Model type:** Text Generation
- **Language(s) (NLP):** English
- **License:** Apache License 2.0
- **Related Models:** [GPT-J 6B](https://h... | 6,054 | [
[
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0.01187... |
posicube/Llama2-chat-AYB-13B | 2023-10-06T08:40:15.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | posicube | null | null | posicube/Llama2-chat-AYB-13B | 12 | 7,017 | transformers | 2023-10-03T03:06:14 | ---
license: llama2
---
This is a model diverged from Llama-2-13b-chat-hf. We hypotheize that if we find a method to ensemble the top rankers in each benchmark effectively, its performance maximizes as well. Following this intuition, we ensembled the top models in each benchmarks to create our model.
# Model Details
... | 3,434 | [
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lgaalves/tinyllama-1.1b-chat-v0.3_platypus | 2023-10-10T15:36:03.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | lgaalves | null | null | lgaalves/tinyllama-1.1b-chat-v0.3_platypus | 5 | 7,016 | transformers | 2023-10-09T22:05:57 | ---
license: mit
datasets:
- garage-bAInd/Open-Platypus
language:
- en
pipeline_tag: text-generation
---
# tinyllama-1.1b-chat-v0.3_platypus
**tinyllama-1.1b-chat-v0.3_platypus** is an instruction fine-tuned model based on the tinyllama transformer architecture.
### Benchmark Metrics
| Metric |lga... | 2,469 | [
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... |
FlagAlpha/Atom-7B | 2023-10-29T00:57:13.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"question-answering",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | question-answering | FlagAlpha | null | null | FlagAlpha/Atom-7B | 52 | 7,008 | transformers | 2023-08-28T10:36:41 | ---
developers: [https://huggingface.co/FlagAlphaAI]
license: apache-2.0
language:
- zh
- en
pipeline_tag: question-answering
library_name: transformers
---
# Atom-7B
Atom-7B完全开源可商用，由Llama中文社区和AtomEcho（原子回声）联合研发，基于Llama2-7B采用大规模的中文数据进行了继续预训练，我们会持续提供更新的模型参数，模型训练过程见[llama.family](https://llama.family)。
模型的部署、训练、微调等方法详见... | 2,962 | [
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0.020... |
oliverguhr/spelling-correction-english-base | 2023-03-16T18:44:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bart",
"text2text-generation",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | oliverguhr | null | null | oliverguhr/spelling-correction-english-base | 39 | 7,003 | transformers | 2022-05-23T15:26:21 | ---
language:
- en
license: mit
widget:
- text: "lets do a comparsion"
example_title: "1"
- text: "Their going to be here so0n"
example_title: "2"
- text: "ze shop is cloed due to covid 19"
example_title: "3"
metrics:
- cer
---
This is an experimental model that should fix your typos and punctuation.
If you like... | 920 | [
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0... |
riffusion/riffusion-model-v1 | 2023-06-05T16:27:41.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-audio",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:2210.08402",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-audio | riffusion | null | null | riffusion/riffusion-model-v1 | 487 | 6,992 | diffusers | 2022-12-13T02:28:17 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-audio
inference: true
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. ... | 4,953 | [
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timm/tf_efficientnetv2_b0.in1k | 2023-04-27T21:38:45.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_b0.in1k | 0 | 6,990 | timm | 2022-12-13T00:14:15 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b0.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | 4,065 | [
[
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0.0288543701171875,
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rinna/japanese-gpt2-small | 2023-03-22T04:13:10.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"gpt2",
"text-generation",
"ja",
"japanese",
"lm",
"nlp",
"dataset:cc100",
"dataset:wikipedia",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/japanese-gpt2-small | 15 | 6,988 | transformers | 2022-03-02T23:29:05 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-gpt2/blob/master/rinna.png
tags:
- ja
- japanese
- gpt2
- text-generation
- lm
- nlp
license: mit
datasets:
- cc100
- wikipedia
widget:
- text: "生命、宇宙、そして万物についての究極の疑問の答えは"
---
# japanese-gpt2-small
This repository provides a s... | 1,580 | [
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0... |
teknium/Mistral-Trismegistus-7B | 2023-10-26T03:17:42.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"mistral-7b",
"instruct",
"finetune",
"gpt4",
"synthetic data",
"distillation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | teknium | null | null | teknium/Mistral-Trismegistus-7B | 130 | 6,982 | transformers | 2023-10-07T00:21:46 | ---
base_model: mistralai/Mistral-7B-v0.1
tags:
- mistral-7b
- instruct
- finetune
- gpt4
- synthetic data
- distillation
model-index:
- name: Mistral-Trismegistus-7B
results: []
license: apache-2.0
language:
- en
---
**Mistral Trismegistus 7B**
<div style="display: flex; justify-content: center;">
<img src="https... | 2,195 | [
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google/muril-base-cased | 2022-06-10T13:33:04.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"arxiv:2103.10730",
"arxiv:1810.04805",
"arxiv:1911.02116",
"arxiv:2003.11080",
"arxiv:2009.05166",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | google | null | null | google/muril-base-cased | 22 | 6,975 | transformers | 2022-03-02T23:29:05 | ---
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
MuRIL: Multilingual Representations for Indian Languages
===
MuRIL is a BERT model pre-trained on 17 Indian languages and their transliterated counterparts. We have released the pre-trained model (with the MLM layer intact, enabli... | 9,037 | [
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-0.04757690... |
swl-models/xiaolxl-guofeng-v2 | 2023-02-28T08:58:28.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | swl-models | null | null | swl-models/xiaolxl-guofeng-v2 | 3 | 6,970 | diffusers | 2023-01-31T15:44:54 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
duplicated_from: xiaolxl/Gf_style2
---
# Gf_style2 - 介绍
欢迎使用Gf_style2模型 - 这是一个中国华丽古风风格模型，也可以说是一个古风游戏角色模型，具有2.5D的质感。第二代相对与第一代减少了上手难度，不需要固定的配置也能生成好看的图片。同时也改进了上一代脸崩坏的... | 3,357 | [
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jphme/Llama-2-13b-chat-german | 2023-10-06T12:52:01.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"german",
"deutsch",
"de",
"en",
"dataset:Christoph911/German-legal-SQuAD",
"dataset:philschmid/test_german_squad",
"arxiv:2307.09288",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jphme | null | null | jphme/Llama-2-13b-chat-german | 47 | 6,967 | transformers | 2023-07-21T23:01:14 | ---
language:
- de
- en
pipeline_tag: text-generation
inference: false
tags:
- pytorch
- llama
- llama-2
- german
- deutsch
datasets:
- Christoph911/German-legal-SQuAD
- philschmid/test_german_squad
---
**Please Check out EM German, our new german-speaking LLM model family with significantly improved capabilites. EM Ge... | 20,850 | [
[
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0.05340576171875,
0.00980377197265625,
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-0.043426513671875,
-0.039703369140625,
0.02833... |
Writer/camel-5b-hf | 2023-04-17T19:21:54.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"InstructGPT",
"hf",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Writer | null | null | Writer/camel-5b-hf | 105 | 6,964 | transformers | 2023-04-10T14:19:41 | ---
license: apache-2.0
language:
- en
tags:
- InstructGPT
- hf
---
# Camel 🐪 5B
<style>
img {
display: inline;
}
</style>
## Model Description
Introducing Camel-5b, a state-of-the-art instruction-following large language model designed to deliver exceptional performance and versatility. Derived from the founda... | 5,410 | [
[
-0.0279083251953125,
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0.040557861328125,
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-0.04644775390625,
-0.043701171875,
... |
HuggingFaceH4/starchat-alpha | 2023-06-08T21:15:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"gpt_bigcode",
"text-generation",
"code",
"en",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"license:bigcode-openrail-m",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
... | text-generation | HuggingFaceH4 | null | null | HuggingFaceH4/starchat-alpha | 221 | 6,964 | transformers | 2023-05-09T08:57:06 | ---
license: bigcode-openrail-m
datasets:
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
language:
- en
library_name: transformers
tags:
- code
---
# Model Card for StarChat Alpha
<!-- Provide a quick summary of what the model is/does. -->
_Note, you may be interested in the Beta version of StarChat [here](... | 4,951 | [
[
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EleutherAI/pythia-1.4b-v0 | 2023-03-29T18:50:36.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:the_pile",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-1.4b-v0 | 7 | 6,954 | transformers | 2022-10-16T18:24:39 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- the_pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For ea... | 11,782 | [
[
-0.0259552001953125,
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0.0208892822265625,
0.0044097900390625,
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0.0166473388671875,
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-0.024017333984375,
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-... |
EleutherAI/pythia-6.9b-v0 | 2023-03-29T18:48:58.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:the_pile",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-6.9b-v0 | 8 | 6,950 | transformers | 2022-10-16T20:16:56 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- the_pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For ea... | 11,782 | [
[
-0.0259857177734375,
-0.062347412109375,
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0.0042724609375,
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0.0158233642578125,
0.0164337158203125,
-0.0240325927734375,
-0.023834228515625,
-0.035308837890625,
... |
MoritzLaurer/DeBERTa-v3-xsmall-mnli-fever-anli-ling-binary | 2023-03-20T08:28:49.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:anli",
"dataset:fever",
"dataset:lingnli",
"arxiv:2104.07179",
"arxiv:2111.09543",
"license:mit",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | MoritzLaurer | null | null | MoritzLaurer/DeBERTa-v3-xsmall-mnli-fever-anli-ling-binary | 3 | 6,943 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
license: mit
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
datasets:
- multi_nli
- anli
- fever
- lingnli
pipeline_tag: zero-shot-classification
---
# DeBERTa-v3-xsmall-mnli-fever-anli-ling-binary
## Model description
This model was trained on 782 357 hypothesis-premise... | 4,721 | [
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0.0333251953125,
0.009033203125,
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-0.03826904296875,
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0.... |
rifkat/pubchem_1M | 2022-12-07T11:21:19.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"doi:10.57967/hf/0177",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | rifkat | null | null | rifkat/pubchem_1M | 0 | 6,937 | transformers | 2022-03-02T23:29:05 | Ushbu model, HuggingFace-da RoBERTa transformatorini amalga oshirishga asoslangan. Bizning RoBERTa dasturimiz 12 ta diqqat boshi va 6 ta qatlamdan foydalanadi, natijada 72 ta aniq e'tibor mexanizmlari paydo bo'ladi. Biz har bir kirish satridagi tokenlarning 15 foizini niqoblaydigan RoBERTa-dan dastlabki tekshirish prot... | 955 | [
[
-0.00919342041015625,
-0.0567626953125,
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0.037445068359375,
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0.00251007080078125,
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0.04266357421875,
0.0282440185546875,
-0.045928955078125,
-0.0123443603515625,
-0.045074462890625,
... |
EleutherAI/pythia-2.8b-v0 | 2023-07-10T01:35:41.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:the_pile",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-2.8b-v0 | 5 | 6,935 | transformers | 2022-11-20T03:56:10 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- the_pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For ea... | 11,782 | [
[
-0.0251007080078125,
-0.06256103515625,
0.0205078125,
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-0.0171966552734375,
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-0.0168609619140625,
-0.03570556640625,
0.0154266357421875,
0.0164337158203125,
-0.0229949951171875,
-0.022552490234375,
-0.03582763671875,
-... |
NousResearch/Llama-2-13b-chat-hf | 2023-09-13T08:15:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | NousResearch | null | null | NousResearch/Llama-2-13b-chat-hf | 15 | 6,929 | transformers | 2023-07-19T01:01:32 | ---
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... | 10,137 | [
[
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0.0233917236328125,
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... |
emilianJR/CyberRealistic_V3 | 2023-05-25T12:51:41.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | emilianJR | null | null | emilianJR/CyberRealistic_V3 | 13 | 6,921 | diffusers | 2023-05-24T10:39:28 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Diffuser model for this SD checkpoint:
https://civitai.com/models/15003/cyberrealistic
**emilianJR/CyberRealistic_V3** is the HuggingFace diffuser that you can use wi... | 1,901 | [
[
-0.0482177734375,
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0.0311431884765625,
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circulus/Llama-2-7b-orca-v1 | 2023-08-01T05:50:51.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | circulus | null | null | circulus/Llama-2-7b-orca-v1 | 6 | 6,914 | transformers | 2023-08-01T03:07:26 | ---
license: mit
datasets:
- Open-Orca/OpenOrca
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
 | 204 | [
[
-0.052154541015625,
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0.031158447265625,
0.038726806640625,
-0.06414794921875,
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0.02825927734375,
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0.08612060546875,
0.040771484375,
-0.042633056640625,
-0.03302001953125,
-0.06414794921875,
0.00843048095703... |
intfloat/e5-large | 2023-08-07T04:59:49.000Z | [
"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-large | 59 | 6,911 | sentence-transformers | 2022-12-26T06:03:12 | ---
tags:
- mteb
- Sentence Transformers
- sentence-similarity
- sentence-transformers
model-index:
- name: e5-large
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revis... | 67,750 | [
[
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0.018035888671875,
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0.005374908447265625,
0.0228424072265625,
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-0.04638671875,
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0.02... |
Helsinki-NLP/opus-mt-en-ro | 2023-08-16T11:30:56.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ro",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-ro | 1 | 6,907 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ro
* source languages: en
* target languages: ro
* OPUS readme: [en-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 907 | [
[
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0.0333251953125,
-0.051116943359375,
-0.039703369140625,
-0.042755126953125,
0.01... |
flaubert/flaubert_base_uncased | 2021-10-18T08:14:52.000Z | [
"transformers",
"pytorch",
"flaubert",
"fill-mask",
"bert",
"language-model",
"flue",
"french",
"flaubert-base",
"uncased",
"fr",
"dataset:flaubert",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | flaubert | null | null | flaubert/flaubert_base_uncased | 2 | 6,907 | transformers | 2022-03-02T23:29:05 | ---
language: fr
license: mit
datasets:
- flaubert
metrics:
- flue
tags:
- bert
- language-model
- flaubert
- flue
- french
- flaubert-base
- uncased
---
# FlauBERT: Unsupervised Language Model Pre-training for French
**FlauBERT** is a French BERT trained on a very large and heterogeneous French corpus. Models of d... | 4,473 | [
[
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0.03680419921875,
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... |
roneneldan/TinyStories-3M | 2023-05-17T22:11:46.000Z | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"arxiv:2305.07759",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | roneneldan | null | null | roneneldan/TinyStories-3M | 2 | 6,902 | transformers | 2023-05-12T21:46:51 | Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759
------ EXAMPLE USAGE ---
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-3M')
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-n... | 657 | [
[
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0.0... |
hiyouga/Baichuan2-7B-Chat-LLaMAfied | 2023-10-12T14:01:55.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"baichuan",
"llama2",
"baichuan2",
"en",
"zh",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | hiyouga | null | null | hiyouga/Baichuan2-7B-Chat-LLaMAfied | 3 | 6,889 | transformers | 2023-09-09T05:36:32 | ---
license: other
language:
- en
- zh
library_name: transformers
pipeline_tag: text-generation
inference: false
tags:
- baichuan
- llama2
- baichuan2
---
This is the LLaMAfied version of [Baichuan2-7B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat) model by Baichuan Inc.
This model is converted with htt... | 1,631 | [
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0.00122642517089... |
wietsedv/bert-base-dutch-cased | 2023-09-11T08:56:16.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | wietsedv | null | null | wietsedv/bert-base-dutch-cased | 1 | 6,888 | transformers | 2022-03-02T23:29:05 | # BERTje: A Dutch BERT model
BERTje is a Dutch pre-trained BERT model developed at the University of Groningen.
⚠️ **The new home of this model is the [GroNLP](https://huggingface.co/GroNLP) organization.**
BERTje now lives at: [`GroNLP/bert-base-dutch-cased`](https://huggingface.co/GroNLP/bert-base-dutch-cased)
Th... | 554 | [
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-0... |
llm-agents/tora-code-7b-v1.0 | 2023-10-08T11:24:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"math",
"en",
"dataset:gsm8k",
"dataset:competition_math",
"arxiv:2309.17452",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | llm-agents | null | null | llm-agents/tora-code-7b-v1.0 | 11 | 6,878 | transformers | 2023-10-08T05:09:23 | ---
license: llama2
datasets:
- gsm8k
- competition_math
language:
- en
metrics:
- exact_match
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- math
---
<h1 align="center">
ToRA: A Tool-Integrated Reasoning Agent <br> for Mathematical Problem Solving
</h1>
<p align="center">
<a href="https:/... | 4,085 | [
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0.0372314453125,
0.03314208984375,
-0.049163818359375,
-0.020416259765625,
-0.032379150390625,
0.009269... |
alexofntu/textual_inversion_cat | 2023-10-10T05:26:54.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"textual_inversion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | alexofntu | null | null | alexofntu/textual_inversion_cat | 0 | 6,872 | diffusers | 2023-09-30T19:26:29 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
---
# Textual inversion text2image fine-tuning - alexofntu/textual_inversion_cat
These are textual inversion adaption ... | 418 | [
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0.004421234130859375,
0.002681732177734375,
0.0570068359375,
-0.054962158203125,
-0.024871826171875,
-0.051025390625,
-0.0... |
rinna/bilingual-gpt-neox-4b | 2023-08-14T06:40:12.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"en",
"dataset:mc4",
"dataset:cc100",
"dataset:wikipedia",
"dataset:EleutherAI/pile",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/bilingual-gpt-neox-4b | 23 | 6,862 | transformers | 2023-07-31T02:34:03 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: mit
datasets:
- mc4
- cc100
- wikipedia
- EleutherAI/pile
- togethercomputer/RedPajama-Data-1T
language:
- ja
- en
inference: false
---
# bilingual-gpt-neox-4b
# Overview
This repository pro... | 8,141 | [
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TheBloke/Airoboros-L2-70B-2.1-GPTQ | 2023-09-27T12:46:28.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-2.1",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Airoboros-L2-70B-2.1-GPTQ | 15 | 6,860 | transformers | 2023-08-27T00:08:14 | ---
license: llama2
datasets:
- jondurbin/airoboros-2.1
model_name: Airoboros L2 70B 2.1
base_model: jondurbin/airoboros-l2-70b-2.1
inference: false
model_creator: Jon Durbin
model_type: llama
prompt_template: "A chat.\nUSER: {prompt}\nASSISTANT: \n"
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<di... | 32,002 | [
[
-0.041229248046875,
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Yukang/Llama-2-13b-longlora-16k-ft | 2023-09-24T09:41:37.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.12307",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Yukang | null | null | Yukang/Llama-2-13b-longlora-16k-ft | 2 | 6,858 | transformers | 2023-09-12T10:56:04 | # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
<font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> </div></font>
**LongLoRA: Effici... | 7,594 | [
[
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0.0... |
hiyouga/Baichuan2-7B-Base-LLaMAfied | 2023-10-12T14:02:26.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"baichuan",
"llama2",
"baichuan2",
"en",
"zh",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | hiyouga | null | null | hiyouga/Baichuan2-7B-Base-LLaMAfied | 5 | 6,851 | transformers | 2023-09-08T14:58:40 | ---
license: other
language:
- en
- zh
library_name: transformers
pipeline_tag: text-generation
inference: false
tags:
- baichuan
- llama2
- baichuan2
---
This is the LLaMAfied version of [Baichuan2-7B-Base](https://huggingface.co/baichuan-inc/Baichuan2-7B-Base) model by Baichuan Inc.
This model is converted with htt... | 1,092 | [
[
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0... |
timm/vit_base_patch16_384.augreg_in21k_ft_in1k | 2023-05-06T00:01:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_384.augreg_in21k_ft_in1k | 0 | 6,845 | timm | 2022-12-22T07:29:44 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_base_patch16_384.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentation... | 3,906 | [
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... |
digiplay/realmixUnrealjourney_v1 | 2023-10-10T01:13:20.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/realmixUnrealjourney_v1 | 2 | 6,843 | diffusers | 2023-06-26T06:18:42 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/83214/realmixunrealjourney
Sample image I made :
![](https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e4455854/RBYzlgaAHZeoydELlIJHy.j... | 613 | [
[
-0.03460693359375,
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0.051025390625,
-0.07769775390625,
-0.037933349609375,
-0.007476806640625,
-0.02384948... |
stablediffusionapi/disney-pixal-cartoon | 2023-06-01T04:38:30.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/disney-pixal-cartoon | 20 | 6,833 | diffusers | 2023-06-01T04:35:53 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Disney Pixal Cartoon Type API Inference
## Get API Key
... | 2,510 | [
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0.00189495086... |
Tap-M/Luna-AI-Llama2-Uncensored | 2023-07-26T19:31:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Tap-M | null | null | Tap-M/Luna-AI-Llama2-Uncensored | 110 | 6,829 | transformers | 2023-07-19T09:16:29 | ---
license: cc-by-sa-4.0
---
<div style="width: 800px; margin: auto;">
<h2>Model Description</h2>
<p>“Luna AI Llama2 Uncensored” is a Llama2 based Chat model <br />fine-tuned on over 40,000 long form chat discussions <br />
This model was fine-tuned by Tap, the creator of Luna AI. <br />
<h2>Model Training</h2... | 1,382 | [
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TheBloke/Spicyboros-70B-2.2-GPTQ | 2023-09-27T12:48:49.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"dataset:jondurbin/airoboros-2.2",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Spicyboros-70B-2.2-GPTQ | 5 | 6,829 | transformers | 2023-09-11T19:24:17 | ---
license: llama2
tags:
- not-for-all-audiences
datasets:
- jondurbin/airoboros-2.2
model_name: Spicyboros 70B 2.2
base_model: jondurbin/spicyboros-70b-2.2
inference: false
model_creator: Jon Durbin
model_type: llama
prompt_template: "A chat.\nUSER: {prompt}\nASSISTANT: \n"
quantized_by: TheBloke
---
<!-- header sta... | 33,871 | [
[
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-... |
llm-agents/tora-13b-v1.0 | 2023-10-08T11:37:04.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"math",
"en",
"dataset:gsm8k",
"dataset:competition_math",
"arxiv:2309.17452",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | llm-agents | null | null | llm-agents/tora-13b-v1.0 | 4 | 6,824 | transformers | 2023-10-08T05:26:43 | ---
license: llama2
datasets:
- gsm8k
- competition_math
language:
- en
metrics:
- exact_match
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- math
---
<h1 align="center">
ToRA: A Tool-Integrated Reasoning Agent <br> for Mathematical Problem Solving
</h1>
<p align="center">
<a href="https:/... | 4,077 | [
[
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0.00931549072265... |
cyberagent/open-calm-large | 2023-05-18T01:11:13.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"japanese",
"causal-lm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:mc4",
"license:cc-by-sa-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cyberagent | null | null | cyberagent/open-calm-large | 9 | 6,811 | transformers | 2023-05-15T06:50:24 | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
- mc4
language:
- ja
tags:
- japanese
- causal-lm
inference: false
---
# OpenCALM-Large
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
fro... | 3,375 | [
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llm-agents/tora-7b-v1.0 | 2023-10-08T11:22:45.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"math",
"en",
"dataset:gsm8k",
"dataset:competition_math",
"arxiv:2309.17452",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | llm-agents | null | null | llm-agents/tora-7b-v1.0 | 4 | 6,809 | transformers | 2023-10-08T05:15:03 | ---
license: llama2
datasets:
- gsm8k
- competition_math
language:
- en
metrics:
- exact_match
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- math
---
<h1 align="center">
ToRA: A Tool-Integrated Reasoning Agent <br> for Mathematical Problem Solving
</h1>
<p align="center">
<a href="https:/... | 4,085 | [
[
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-0.0323486328125,
0.009254... |
facebook/wav2vec2-conformer-rope-large-960h-ft | 2023-03-21T10:48:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2-conformer",
"automatic-speech-recognition",
"speech",
"audio",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2010.05171",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-conformer-rope-large-960h-ft | 6 | 6,805 | transformers | 2022-04-18T09:48:39 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
model-index:
- name: wav2vec2-conformer-rel-pos-large-960h-ft
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | 3,748 | [
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-0.044830322265625,
-0.05218505859375,
-0.02... |
georgesung/llama2_7b_chat_uncensored | 2023-07-22T15:55:50.000Z | [
"transformers",
"pytorch",
"tensorboard",
"llama",
"text-generation",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | georgesung | null | null | georgesung/llama2_7b_chat_uncensored | 163 | 6,786 | transformers | 2023-07-20T10:45:03 | ---
license: other
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
---
# Overview
Fine-tuned [Llama-2 7B](https://huggingface.co/TheBloke/Llama-2-7B-fp16) with an uncensored/unfiltered Wizard-Vicuna conversation dataset [ehartford/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/ehartford/wizard_vicuna... | 1,299 | [
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-0.057891845703125,
-0.036163330078125,
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... |
hfl/chinese-alpaca-2-13b | 2023-08-25T01:08:33.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hfl | null | null | hfl/chinese-alpaca-2-13b | 67 | 6,771 | transformers | 2023-08-14T03:10:08 | ---
license: apache-2.0
---
# Chinese-Alpaca-2-13B
**This is the full Chinese-Alpaca-2-13B 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... | 2,756 | [
[
-0.0303192138671875,
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0.0321044921875,
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-0.03778076171875,
-0.040771484375,
0.00146675109... |
llm-agents/tora-code-34b-v1.0 | 2023-10-08T11:23:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"math",
"en",
"dataset:gsm8k",
"dataset:competition_math",
"arxiv:2309.17452",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | llm-agents | null | null | llm-agents/tora-code-34b-v1.0 | 9 | 6,770 | transformers | 2023-10-08T05:33:54 | ---
license: llama2
datasets:
- gsm8k
- competition_math
language:
- en
metrics:
- exact_match
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- math
---
<h1 align="center">
ToRA: A Tool-Integrated Reasoning Agent <br> for Mathematical Problem Solving
</h1>
<p align="center">
<a href="https:/... | 4,085 | [
[
-0.0281829833984375,
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0.03314208984375,
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-0.0204315185546875,
-0.032379150390625,
0.00928... |
facebook/xlm-roberta-xl | 2022-08-08T07:20:58.000Z | [
"transformers",
"pytorch",
"xlm-roberta-xl",
"fill-mask",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
... | fill-mask | facebook | null | null | facebook/xlm-roberta-xl | 14 | 6,767 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- my
... | 5,035 | [
[
-0.0367431640625,
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0.0131683349609375,
0.0170440673828125,
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0.04638671875,
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-0.039398193359375,
-0.047393798828125,
0.0250... |
mncai/Mistral-7B-openplatypus-1k | 2023-10-11T07:42:43.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"llama-2",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mncai | null | null | mncai/Mistral-7B-openplatypus-1k | 0 | 6,766 | transformers | 2023-10-10T08:40:01 | ---
pipeline_tag: text-generation
license: llama2
language:
- en
library_name: transformers
tags:
- MindsAndCompany
- llama-2
datasets:
- garage-bAInd/Open-Platypus
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Libr... | 3,667 | [
[
-0.033111572265625,
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-0... |
KT-AI/midm-bitext-S-7B-inst-v1 | 2023-11-04T23:37:30.000Z | [
"transformers",
"pytorch",
"midm-bitext-S",
"text-generation",
"custom_code",
"ko",
"en",
"arxiv:2104.09864",
"license:cc-by-nc-4.0",
"has_space",
"region:us"
] | text-generation | KT-AI | null | null | KT-AI/midm-bitext-S-7B-inst-v1 | 36 | 6,765 | transformers | 2023-10-30T15:27:51 | ---
license: cc-by-nc-4.0
language:
- ko
- en
pipeline_tag: text-generation
---
# Mi:dm (**M**indful **I**ntelligence that **D**ialogs, Empathizes, Understands and **M**oves, 믿:음)
Mi:dm은 KT가 개발한 사전학습 한국어-영어 언어모델 입니다.
문자열을 입력으로 하며, 문자열을 생성합니다.
Mi:dm is a pre-trained Korean-English language model developed by KT.
It... | 5,389 | [
[
-0.0282440185546875,
-0.05078125,
0.0095977783203125,
0.0260009765625,
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-0.01788330078125,
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0.0252227783203125,
0.01378631591796875,
-0.037841796875,
-0.052032470703125,
-0.044219970703125,
0.0132... |
timm/tf_efficientnet_b1.ns_jft_in1k | 2023-04-27T21:17:43.000Z | [
"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_b1.ns_jft_in1k | 0 | 6,749 | timm | 2022-12-13T00:01:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b1.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... | 4,598 | [
[
-0.0295867919921875,
-0.042694091796875,
-0.00627899169921875,
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-0.017608642578125,
-0.0282135009765625,
-0.0255584716796875,
-0.0309600830078125,
0.0121612548828125,
0.0261993408203125,
-0.0258941650390625,
-0.042327880859375,
-0.05496215820... |
jy46604790/Fake-News-Bert-Detect | 2022-04-26T04:36:13.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | jy46604790 | null | null | jy46604790/Fake-News-Bert-Detect | 7 | 6,746 | transformers | 2022-04-24T11:25:53 | ---
license: apache-2.0
---
# Fake News Recognition
## Overview
This model is trained by over 40,000 news from different medias based on the 'roberta-base'. It can give result by simply entering the text of the news less than 500 words(the excess will be truncated automatically).
LABEL_0: Fake news
LABEL_1: Real... | 2,136 | [
[
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0.0276336669921875,
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-0.048736572265625,
-0.056396484375,
0.023895... |
simsim314/WizardLM-70B-V1.0-HF | 2023-08-12T01:11:14.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | simsim314 | null | null | simsim314/WizardLM-70B-V1.0-HF | 1 | 6,742 | transformers | 2023-08-11T22:10:14 | ---
license: llama2
---
Float16 of [WizardLM/WizardLM-70B-V1.0](https://huggingface.co/WizardLM/WizardLM-70B-V1.0)
```
from transformers import LlamaTokenizer, AutoModelForCausalLM
tokenizer = LlamaTokenizer.from_pretrained("simsim314/WizardLM-70B-V1.0-HF")
model = AutoModelForCausalLM.from_pretrained("simsim314/Wiza... | 342 | [
[
-0.039825439453125,
-0.020233154296875,
0.0031147003173828125,
0.05157470703125,
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0.0244598388671875,
0.001499176025390625,
0.01096343994140625,
0.030426025390625,
-0.060760498046875,
-0.0241241455078125,
-0.0628662109375,... |
lambdalabs/sd-pokemon-diffusers | 2023-05-16T09:17:58.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"dataset:lambdalabs/pokemon-blip-captions",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | lambdalabs | null | null | lambdalabs/sd-pokemon-diffusers | 160 | 6,740 | diffusers | 2022-09-16T15:43:00 | ---
language:
- en
thumbnail: "https://s3.amazonaws.com/moonup/production/uploads/1663756797814-62bd5f951e22ec84279820e8.png"
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
datasets:
- lambdalabs/pokemon-blip-captions
---
__Stable Diffusion fine tuned on Pokémon by [Lambda Labs](https://lambd... | 2,451 | [
[
-0.039306640625,
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-0.030303955078125,
-0.017425537109375,
-0.039642333984375,
... |
ehartford/WizardLM-7B-Uncensored | 2023-05-12T23:12:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"uncensored",
"dataset:ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/WizardLM-7B-Uncensored | 348 | 6,740 | transformers | 2023-05-04T20:31:51 | ---
license: other
datasets:
- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
tags:
- uncensored
---
This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (o... | 937 | [
[
-0.0215606689453125,
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0.0021228790283203125,
0.0791015625,
-0.053741455078125,
-0.03564453125,
-0.035247802734375,
-0.00167... |
ydshieh/kosmos-2-patch14-224 | 2023-11-02T16:42:01.000Z | [
"transformers",
"pytorch",
"kosmos-2",
"feature-extraction",
"custom_code",
"has_space",
"region:us"
] | feature-extraction | ydshieh | null | null | ydshieh/kosmos-2-patch14-224 | 54 | 6,740 | transformers | 2023-07-29T17:44:41 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
# Kosmos-2: Grounding Multimodal Large Language Models to the World
**This model (remote code on the Hub) is deprecated. Ple... | 17,854 | [
[
-0.029754638671875,
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-0.0513916015625,
-0.041839599609375,
-0.0... |
FlagAlpha/Llama2-Chinese-13b-Chat | 2023-09-11T13:24:23.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"question-answering",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | question-answering | FlagAlpha | null | null | FlagAlpha/Llama2-Chinese-13b-Chat | 227 | 6,739 | transformers | 2023-07-24T12:10:46 | ---
developers: [https://huggingface.co/FlagAlphaAI]
license: apache-2.0
language:
- zh
- en
pipeline_tag: question-answering
library_name: transformers
---
# Llama2中文社区
---
## Llama2中文微调参数
由于Llama2本身的中文对齐较弱，我们采用中文指令集，对meta-llama/Llama-2-13b-chat-hf进行LoRA微调，使其具备较强的中文对话能力。
🎯 **该版本为LoRA中文微调参数FlagAlpha/Llama2-Chinese-1... | 1,000 | [
[
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0.02899169921875,
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-0.04827880859375,
-0.036590576171875,
0.004631042... |
uukuguy/speechless-code-mistral-7b-v1.0 | 2023-10-13T07:34:35.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"llama-2",
"code",
"en",
"dataset:jondurbin/airoboros-2.2",
"dataset:Open-Orca/OpenOrca",
"dataset:garage-bAInd/Open-Platypus",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:TokenBender/python_eval_instruct_51k",
"license... | text-generation | uukuguy | null | null | uukuguy/speechless-code-mistral-7b-v1.0 | 5 | 6,736 | transformers | 2023-10-10T06:14:00 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
tags:
- llama-2
- code
license: llama2
model-index:
- name: SpeechlessCoder
... | 3,043 | [
[
-0.03729248046875,
-0.055908203125,
0.017913818359375,
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-0.0... |
euclaise/falcon_1b_stage3_2 | 2023-09-25T22:31:31.000Z | [
"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_2 | 0 | 6,724 | transformers | 2023-09-23T01:28:52 | ---
license: apache-2.0
base_model: euclaise/falcon_1b_stage2
tags:
- generated_from_trainer
model-index:
- name: falcon_1b_stage3_2
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... | 1,188 | [
[
-0.0400390625,
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0.031463623046875,
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-0.051971435546875,
0.001293182... |
swl-models/xiaolxl-guofeng-v1 | 2023-02-01T01:00:00.000Z | [
"diffusers",
" stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | swl-models | null | null | swl-models/xiaolxl-guofeng-v1 | 1 | 6,719 | diffusers | 2023-01-31T15:43:58 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- ' stable-diffusion'
- stable-diffusion-diffusers
duplicated_from: xiaolxl/Gf_style
---
# Gf_style - 介绍
欢迎使用Gf_style模型 - 这是一个中国华丽古风风格模型，也可以说是一个古风游戏角色模型，具有2.5D的质感。这是一个模型系列，会在未来不断更新模型。
2.0版本已发布：[https://huggingf... | 2,768 | [
[
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0.003627777099609... |
llm-agents/tora-70b-v1.0 | 2023-10-08T11:37:14.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"math",
"en",
"dataset:gsm8k",
"dataset:competition_math",
"arxiv:2309.17452",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | llm-agents | null | null | llm-agents/tora-70b-v1.0 | 14 | 6,702 | transformers | 2023-10-08T05:46:26 | ---
license: llama2
datasets:
- gsm8k
- competition_math
language:
- en
metrics:
- exact_match
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- math
---
<h1 align="center">
ToRA: A Tool-Integrated Reasoning Agent <br> for Mathematical Problem Solving
</h1>
<p align="center">
<a href="https:/... | 4,077 | [
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0.00930786... |
vinai/bertweet-large | 2022-06-08T04:43:57.000Z | [
"transformers",
"pytorch",
"tf",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | vinai | null | null | vinai/bertweet-large | 6 | 6,695 | transformers | 2022-03-02T23:29:05 | # <a name="introduction"></a> BERTweet: A pre-trained language model for English Tweets
BERTweet is the first public large-scale language model pre-trained for English Tweets. BERTweet is trained based on the [RoBERTa](https://github.com/pytorch/fairseq/blob/master/examples/roberta/README.md) pre-training procedure.... | 1,891 | [
[
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0.01148223876953125,
-0.040740966796875,
-0.046600341796875,
-0.047119140625,
-0.0144... |
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