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automatic-speech-recognition | transformers |
Model ini adalah hasil dari proses fine-tuning model Whisper Small pada dataset Common Voice 16.1 untuk bahasa Indonesia. Anda dapat menggunakan model ini dengan menjalankan syntax berikut.
```python
from transformers import WhisperForConditionalGeneration, WhisperProcessor
model = WhisperForConditionalGeneration.fro... | {"language": ["id"], "license": "mit", "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"]} | avalonai/whisper-small-id | null | [
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#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #id #dataset-mozilla-foundation/common_voice_16_1 #license-mit #endpoints_compatible #region-us
|
Model ini adalah hasil dari proses fine-tuning model Whisper Small pada dataset Common Voice 16.1 untuk bahasa Indonesia. Anda dapat menggunakan model ini dengan menjalankan syntax berikut.
Berdasarkan hasil eksperimen kami, model yang telah kami fine-tune berhasil memperoleh WER sebesar 17.16%, dimana ini menurunka... | [] | [
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text-generation | transformers | # ResplendentAI/Persephone_7B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Persephone_7B](https://huggingface.co/ResplendentAI/Persephone_7B)
## Mo... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "base_model": [], "pipeline_tag": "text-generation", "inference": false, "prompt_template": "<|im_start|>system\... | solidrust/Persephone_7B-AWQ | null | [
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"en",
"license:other",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T07:49:56+00:00 | [] | [
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#transformers #safetensors #mistral #text-generation #mergekit #merge #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #en #license-other #text-generation-inference #region-us
| # ResplendentAI/Persephone_7B AWQ
- Model creator: ResplendentAI
- Original model: Persephone_7B
!image/jpeg
## Model Summary
After being in a bit of a rut, I decided to take a radically different approach to produce something new and exciting. It seems to have worked out. I hope you enjoy!
## How to use
### Inst... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | PavanDeepak/bert_large_uncased_iab_categories_classification | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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null | null |
# Introcduction
See also https://github.com/k2-fsa/icefall/pull/1421
Different from
https://huggingface.co/k2-fsa/sherpa-onnx-zipformer-audio-tagging-2024-04-09
this repo uses a zipformer with fewer parameters.
| {"license": "apache-2.0"} | k2-fsa/sherpa-onnx-zipformer-small-audio-tagging-2024-04-15 | null | [
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#onnx #license-apache-2.0 #has_space #region-us
|
# Introcduction
See also URL
Different from
URL
this repo uses a zipformer with fewer parameters.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | toghrultahirov/gemma-1.1-2b-it-CausalFT-merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# DavidAU/bagel-dpo-7b-v0.5-Q6_K-GGUF
This model was converted to GGUF format from [`jondurbin/bagel-dpo-7b-v0.5`](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemi... | DavidAU/bagel-dpo-7b-v0.5-Q6_K-GGUF | null | [
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# DavidAU/bagel-dpo-7b-v0.5-Q6_K-GGUF
This model was converted to GGUF format from 'jondurbin/bagel-dpo-7b-v0.5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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text-generation | transformers | # ResplendentAI/Asherah_7B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Asherah_7B](https://huggingface.co/ResplendentAI/Asherah_7B)
## Model Summary... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "datasets": ["ResplendentAI/Synthetic_Soul_1k", "Epiculous/Gnosis"], "base_model": [], "pipeline_tag": "text-gen... | solidrust/Asherah_7B-AWQ | null | [
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| # ResplendentAI/Asherah_7B AWQ
- Model creator: ResplendentAI
- Original model: Asherah_7B
!image/png
## Model Summary
Asherah, goddess of all creation according to ancient myth was a huge inspiration for this model. The model started with a merge of four of Sanji Watsuki's models using various methods. This merge ... | [
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null | null |
# DavidAU/bagel-7b-v0.5-Q6_K-GGUF
This model was converted to GGUF format from [`jondurbin/bagel-7b-v0.5`](https://huggingface.co/jondurbin/bagel-7b-v0.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemi... | DavidAU/bagel-7b-v0.5-Q6_K-GGUF | null | [
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# DavidAU/bagel-7b-v0.5-Q6_K-GGUF
This model was converted to GGUF format from 'jondurbin/bagel-7b-v0.5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
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question-answering | transformers |
<!-- 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 comment. -->
# Testing
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "Testing", "results": []}]} | Sybghat/Testing | null | [
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| Testing
=======
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1409
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
starchat-beta - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/Hu... | {} | RichardErkhov/HuggingFaceH4_-_starchat-beta-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
starchat-beta - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
tags:
* generated\_from\_trainer
widget:
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null | null | # GPT-2-Latin
Model and vocab for the GPT-2-Latin available on https://latin-ia.hepl.ch/gpt-2.
---
license: mit
---
| {} | IALatin/GPT-2-Latin | null | [
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text-classification | transformers |
<!-- 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 comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imdb"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "imdb", "type": "imdb", "args": ... | ashok2216/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3404
- Accuracy: 0.8667
- F1: 0.8734
## Model description
More information needed
## Intended uses & limitations
More in... | [
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automatic-speech-recognition | transformers |
<!-- 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 comment. -->
# jenjenot/whisper_medium_tw
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-m... | {"language": ["zh"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["thomas0104/nan_tw_soap_opera"], "base_model": "openai/whisper-medium", "model-index": [{"name": "jenjenot/whisper_medium_tw", "results": []}]} | jenjenot/whisper_small_test_tw | null | [
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|
# jenjenot/whisper_medium_tw
This model is a fine-tuned version of openai/whisper-medium on the nan_tw_soap_opera dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
starchat-beta - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/Hu... | {} | RichardErkhov/HuggingFaceH4_-_starchat-beta-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
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Request more models
starchat-beta - bnb 8bits
* Model creator: URL
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Original model description:
---------------------------
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers |
<!-- 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 comment. -->
# biobert-finetuned-squadcovid
This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmi... | {"tags": ["generated_from_trainer"], "base_model": "dmis-lab/biobert-base-cased-v1.2", "model-index": [{"name": "biobert-finetuned-squadcovid", "results": []}]} | Rahul13/biobert-finetuned-squadcovid | null | [
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# biobert-finetuned-squadcovid
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on an unknown dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | basitmujtaba45/Summarization | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-guwkdma | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Cartpole-unit4", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics":... | theresabrns/Reinforce-Cartpole-unit4 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | null | # Ciceronianity classifier
Model and vocab for the Ciceronianity classifier available on https://latin-ia.hepl.ch/classifier
## Prepare the classifier
1. Install tensorflowjs
2. Embedding layer: load the Universal Sentence Encoder Lite. Model url: https://tfhub.dev/tensorflow/tfjs-model/universal-sentence-encoder-li... | {} | IALatin/Ciceronianity-classifier | null | [
"region:us"
] | null | 2024-04-15T08:06:23+00:00 | [] | [] | TAGS
#region-us
| # Ciceronianity classifier
Model and vocab for the Ciceronianity classifier available on URL
## Prepare the classifier
1. Install tensorflowjs
2. Embedding layer: load the Universal Sentence Encoder Lite. Model url: URL vocab url: model/URL
3. Multilayer perceptron: load the model from model/URL
## Run the classifi... | [
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null | transformers |
<!-- 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 comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | quissuiven/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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question-answering | transformers |
# coding_model
coding_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [huggingface/CodeBERTa-language-id](https://huggingface.co/huggingface/CodeBERTa-language-id)
* [Sharathhebbar24/code_gpt2](https://huggingface.... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "huggingface/CodeBERTa-language-id", "Sharathhebbar24/code_gpt2"], "base_model": ["huggingface/CodeBERTa-language-id", "Sharathhebbar24/code_gpt2"], "pipeline_tag": "question-answering"} | nagayama0706/coding_model | null | [
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"license:apache-2.... | null | 2024-04-15T08:07:37+00:00 | [] | [] | TAGS
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# coding_model
coding_model is a merge of the following models using LazyMergekit:
* huggingface/CodeBERTa-language-id
* Sharathhebbar24/code_gpt2
## Configuration
## Usage
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Weyaxi/Einstein-v6-7B](https://huggingface.... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Weyaxi/Einstein-v6-7B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | bingbort/Einstein_x_Dolphin | null | [
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-15T08:09:44+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Weyaxi/Einstein-v6-7B
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
### Con... | [
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automatic-speech-recognition | transformers |
<!-- 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 comment. -->
# wav2vec2-large-xls-r-300m-sinhala-original-split-part4-epoch30-final
This model is a fine-tuned version of [facebook/wav2vec2-xl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-large-xls-r-300m-sinhala-original-split-part4-epoch30-final", "results": []}]} | SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-original-split-part4-epoch30-final | null | [
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| wav2vec2-large-xls-r-300m-sinhala-original-split-part4-epoch30-final
====================================================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1837
* Wer: 0.1334
... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "He is Male, his heart rate is 148, he walks 10000 steps daily, and is Normal. He slept at 1 hrs. Yesterday, he slept from 2.0hrs to 3.0 hrs, with ... | reecursion/few-shot-stress-detection-miniLM | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | hhhuang/Mistral-7B_offensive_finetuned | null | [
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question-answering | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"language": ["fa"], "license": "apache-2.0", "tags": ["persain", "persian_qa", "parsbert"], "datasets": ["SajjadAyoubi/persian_qa"], "metrics": ["accuracy"], "pipeline_tag": "question-answering"} | mansoorhamidzadeh/parsbert-persian-QA | null | [
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| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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question-answering | transformers |
<!-- 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 comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | lash/my_awesome_qa_model | null | [
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#transformers #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3052
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-to-image | diffusers |
**Model Name:** NSFW-gen-v2
**ANIME version** [Here](https://huggingface.co/UnfilteredAI/NSFW-GEN-ANIME)
**Type:** Text-to-Image Generator
**Description:** NSFW-gen is a text-to-image generator developed by UnfilteredAI. This model is designed to generate all kinds of images, including explicit and NSFW (Not Safe F... | {"language": ["en", "pt", "th"], "license": "other", "library_name": "diffusers", "tags": ["UnfilteredAI", "3d", "text-to-image", "not-for-all-audiences"], "base_model": "OEvortex/PixelGen", "pipeline_tag": "text-to-image"} | UnfilteredAI/NSFW-gen-v2 | null | [
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ANIME version Here
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text-to-speech | transformers |
# Model Card for taiwanese-hakka-tts-sixian-hailu-mix
<!-- Provide a quick summary of what the model is/does. -->
A experimental model to try speaker encoder.
## Model Details
- YourTTS
- sample rate: 16k
- Training data contain four persons
- Use speaker encoder output as speaker embedding
- Use language embeddin... | {"language": ["hak"], "license": "mit", "pipeline_tag": "text-to-speech"} | formospeech/taiwanese-hakka-tts-sixian-hailu-mix-se | null | [
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|
# Model Card for taiwanese-hakka-tts-sixian-hailu-mix
A experimental model to try speaker encoder.
## Model Details
- YourTTS
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- Use language embedding
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# teslav0-slerp
teslav0-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: gate369/teslav... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "gate369/teslav0"]} | gate369/teslav0-slerp | null | [
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|
# teslav0-slerp
teslav0-slerp is a merge of the following models using mergekit:
* gate369/teslav0
* gate369/teslav0
## Configuration
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text-generation | transformers |
# tesla3x6passthrough
tesla3x6passthrough is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "gate369/teslav0"]} | gate369/tesla3x6passthrough | null | [
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# tesla3x6passthrough
tesla3x6passthrough is a merge of the following models using mergekit:
* gate369/teslav0
* gate369/teslav0
* gate369/teslav0
## Configuration
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | saroun74/SOLAR-10.7B-Instruct-v1.0-PEFT-AWQ-4bit-GEMM-0329 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-bjlsrkr | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
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text-generation | transformers |
# tesla6x6passthrough
tesla6x6passthrough is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
* [gate369/teslav0](https://huggingface.co/gate369/teslav0)
* [gate3... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "gate369/teslav0"]} | gate369/tesla6x6passthrough | null | [
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|
# tesla6x6passthrough
tesla6x6passthrough is a merge of the following models using mergekit:
* gate369/teslav0
* gate369/teslav0
* gate369/teslav0
* gate369/teslav0
* gate369/teslav0
* gate369/teslav0
## Configuration
| [
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translation | transformers |
# translation_model
translation_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
* [rifkat/uztext-3Gb-BPE-Roberta](https://huggin... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google-bert/bert-base-uncased", "rifkat/uztext-3Gb-BPE-Roberta"], "base_model": ["google-bert/bert-base-uncased", "rifkat/uztext-3Gb-BPE-Roberta"], "pipeline_tag": "translation"} | nagayama0706/translation_model | null | [
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"... | null | 2024-04-15T08:23:50+00:00 | [] | [] | TAGS
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# translation_model
translation_model is a merge of the following models using LazyMergekit:
* google-bert/bert-base-uncased
* rifkat/uztext-3Gb-BPE-Roberta
## Configuration
## Usage
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null | peft |
<!-- 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 comment. -->
# bloomz-560m-rag
This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on... | {"license": "bigscience-bloom-rail-1.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigscience/bloomz-560m", "model-index": [{"name": "bloomz-560m-rag", "results": []}]} | jantigny/bloomz-560m-rag | null | [
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"safetensors",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-bigscience/bloomz-560m #license-bigscience-bloom-rail-1.0 #region-us
|
# bloomz-560m-rag
This model is a fine-tuned version of bigscience/bloomz-560m on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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image-classification | transformers |
<!-- 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 comment. -->
# swin-tiny-patch4-window7-224-finetuned-car0001
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-car0001", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | tsware/swin-tiny-patch4-window7-224-finetuned-car0001 | null | [
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| swin-tiny-patch4-window7-224-finetuned-car0001
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0029
* Accuracy: 1.0
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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audio-classification | transformers |
<!-- 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 comment. -->
# results
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-x... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "results", "results": []}]} | IbexAI/wav2vec2-lg-xlsr-ur-speech-emotion-recognition | null | [
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| results
=======
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6829
* Accuracy: 0.7762
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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translation | fairseq | # smugri3_14
The TartuNLP Multilingual Neural Machine Translation model for low-resource Finno-Ugric languages. The model can translate in 702 directions, between 27 languages.
### Languages Supported
- **High and Mid-Resource Languages:** Estonian, English, Finnish, Hungarian, Latvian, Norwegian, Russian
- **Low-Reso... | {"language": ["et", "fi", "kv", "hu", "lv", "no"], "license": "cc-by-4.0", "library_name": "fairseq", "metrics": ["bleu", "chrf"], "pipeline_tag": "translation"} | tartuNLP/smugri3_14-finno-ugric-nmt | null | [
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| smugri3\_14
===========
The TartuNLP Multilingual Neural Machine Translation model for low-resource Finno-Ugric languages. The model can translate in 702 directions, between 27 languages.
### Languages Supported
* High and Mid-Resource Languages: Estonian, English, Finnish, Hungarian, Latvian, Norwegian, Russian
... | [
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token-classification | transformers |
<!-- 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 comment. -->
# MLMA-Lab8-FinetunedBioGPT-Custom
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogp... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "MLMA-Lab8-FinetunedBioGPT-Custom", "results": []}]} | kthammana/MLMA-Lab8-FinetunedBioGPT-Custom | null | [
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| MLMA-Lab8-FinetunedBioGPT-Custom
================================
This model is a fine-tuned version of microsoft/biogpt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0776
* Precision: 0.6554
* Recall: 0.7769
* F1: 0.7110
* Accuracy: 0.9720
Model description
-------------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | anhlh93/Enlighten_Instruct | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | mrefoyo/lunarlander | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers |
# Uploaded model
- **Developed by:** snrspeaks
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | snrspeaks/Gemma-2B-it-finance-aspect-based-sentiment-lora_model | null | [
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"license:apache-2.0",
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] | null | 2024-04-15T08:36:48+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: snrspeaks
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https:/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | Citaman/Mistral_31_layer | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T08:37:14+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
The following YAML configu... | [
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"## Merge Details",
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"### Configuratio... | [
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text-to-speech | transformers |
<img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini v0.1 - Jenny
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts_mini">
<img src="http... | {"language": ["en"], "library_name": "transformers", "tags": ["text-to-speech", "annotation"], "datasets": ["ylacombe/jenny-tts-10k-tagged", "reach-vb/jenny_tts_dataset"], "pipeline_tag": "text-to-speech", "inference": false} | parler-tts/parler-tts-mini-jenny-30H | null | [
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"dataset:reach-vb/jenny_tts_dataset",
"arxiv:2402.01912",
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"region:us"
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"2402.01912"
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"en"
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|
<img src="URL alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini v0.1 - Jenny
<a target="_blank" href="URL
<img src="URL alt="Open in HuggingFace"/>
</a>
* Fine-tuning guide on Colab:
<a target="_blank" href="URL
<img src="URL alt="Open In Cola... | [
"# Parler-TTS Mini v0.1 - Jenny\n\n<a target=\"_blank\" href=\"URL\n <img src=\"URL alt=\"Open in HuggingFace\"/>\n</a>\n\n\n* Fine-tuning guide on Colab:\n\n<a target=\"_blank\" href=\"URL \n <img src=\"URL alt=\"Open In Colab\"/> \n</a>\n\nFine-tuned version of Parler-TTS Mini v0.1 on the 30-hours single-speake... | [
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text-generation | transformers |
<!-- 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 comment. -->
# 0.0_ablation_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0_ablation_iter_1](https://huggingface.co/ShenaoZ/0.0_ablat... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0_ablation_iter_1", "model-index": [{"name": "0.0_ablation_iter_2", "results": []}]} | ShenaoZ/00old_ablation | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"... | null | 2024-04-15T08:40:57+00:00 | [] | [] | TAGS
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|
# 0.0_ablation_iter_2
This model is a fine-tuned version of ShenaoZ/0.0_ablation_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# 0.0_ablation_iter_2\n\nThis model is a fine-tuned version of ShenaoZ/0.0_ablation_iter_1 on the updated and the original datasets.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/K00B404/BagOClownCoders-slerp-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "K00B404/BagOClownCoders-slerp-7B", "quantized_by": "mradermacher"} | mradermacher/BagOClownCoders-slerp-7B-GGUF | null | [
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"base_model:K00B404/BagOClownCoders-slerp-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T08:41:32+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-K00B404/BagOClownCoders-slerp-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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token-classification | transformers |
<!-- 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 comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | HankLiuML/bert-finetuned-ner | null | [
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"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T08:41:53+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0619
* Precision: 0.9387
* Recall: 0.9530
* F1: 0.9458
* Accuracy: 0.9869
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/fangloveskari/ORCA_LLaMA_70B_QLoRA
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/ORCA_L... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "fangloveskari/ORCA_LLaMA_70B_QLoRA", "quantized_by": "mradermacher"} | mradermacher/ORCA_LLaMA_70B_QLoRA-i1-GGUF | null | [
"transformers",
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"en",
"base_model:fangloveskari/ORCA_LLaMA_70B_QLoRA",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T08:42:40+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-fangloveskari/ORCA_LLaMA_70B_QLoRA #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-fangloveskari/ORCA_LLaMA_70B_QLoRA #license-llama2 #endpoints_compatible #region-us \n"
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | impossibleno1/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T08:42:40+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | rahulvramesh/tinyllama-colorist-v1 | null | [
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"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-15T08:42:53+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-speech | transformers |
# sales_talk_model
sales_talk_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
* [robowaifudev/megatron-gpt2-345m](https://huggin... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google-bert/bert-base-uncased", "robowaifudev/megatron-gpt2-345m"], "base_model": ["google-bert/bert-base-uncased", "robowaifudev/megatron-gpt2-345m"], "pipeline_tag": "text-to-speech"} | nagayama0706/sales_talk_model | null | [
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"mistral",
"text-generation",
"merge",
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"lazymergekit",
"google-bert/bert-base-uncased",
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"text-to-speech",
"base_model:google-bert/bert-base-uncased",
"base_model:robowaifudev/megatron-gpt2-345m",
"license:apache-2.... | null | 2024-04-15T08:43:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #google-bert/bert-base-uncased #robowaifudev/megatron-gpt2-345m #text-to-speech #base_model-google-bert/bert-base-uncased #base_model-robowaifudev/megatron-gpt2-345m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #... |
# sales_talk_model
sales_talk_model is a merge of the following models using LazyMergekit:
* google-bert/bert-base-uncased
* robowaifudev/megatron-gpt2-345m
## Configuration
## Usage
| [
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null | peft |
<!-- 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 comment. -->
# mistralv1_spectral_r8_2e4_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r8_2e4_e3", "results": []}]} | fangzhaoz/mistralv1_spectral_r8_2e4_e3 | null | [
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|
# mistralv1_spectral_r8_2e4_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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null | peft |
<!-- 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 comment. -->
# results
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the enwik8 dataset.
## Model description
... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["enwik8"], "base_model": "gpt2", "model-index": [{"name": "results", "results": []}]} | Aharneish/results | null | [
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#peft #safetensors #generated_from_trainer #dataset-enwik8 #base_model-gpt2 #license-mit #region-us
|
# results
This model is a fine-tuned version of gpt2 on the enwik8 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparam... | [
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text-generation | transformers | # ResplendentAI/Luna-2x7B-MoE AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Luna-2x7B-MoE](https://huggingface.co/ResplendentAI/Luna-2x7B-MoE)
## Mode... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "not-for-all-audiences"], "base_model": [], "pipeline_tag": "text-generation", "inference": false, "prompt_templa... | solidrust/Luna-2x7B-MoE-AWQ | null | [
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"chatml",
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"en",
"license:other",
"text-generation-inference",
"region:us"
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| # ResplendentAI/Luna-2x7B-MoE AWQ
- Model creator: ResplendentAI
- Original model: Luna-2x7B-MoE
!image/png
## Model Summary
Meet Luna, my one and only personal assistant and roleplaying partner. This MoE serves as her unique basis, both experts scoring above 72 average on the leaderboard, but designed for RP inter... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-unit4", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcop... | theresabrns/Reinforce-Pixelcopter-unit4 | null | [
"Pixelcopter-PLE-v0",
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [CohereForAI/c4ai-command-r-v01](https://hug... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["CohereForAI/c4ai-command-r-v01"]} | Citaman/command-r-39-layer | null | [
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] | null | 2024-04-15T08:48:58+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* CohereForAI/c4ai-command-r-v01
### Configuration
The following YAML configurati... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc21 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | fangzhaoz/mistralv1_spectral_r8_2e4_e3_merged | null | [
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null | null |
<!-- 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 comment. -->
# V0414H4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0414H4", "results": []}]} | Litzy619/V0414H4 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0414H4
=======
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0509
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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text-to-image | diffusers |
This Repo contains a diffusers format version of the PixArt-Sigma Repos
PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
with the models loaded and saved in fp16 and bf16 formats, roughly halfing their sizes.
It can be used where download bandwith, memory or diskspace are relative... | {"license": "openrail++"} | Vargol/PixArt-Sigma_16bit | null | [
"diffusers",
"safetensors",
"license:openrail++",
"diffusers:PixArtSigmaPipeline",
"region:us"
] | null | 2024-04-15T08:52:27+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-openrail++ #diffusers-PixArtSigmaPipeline #region-us
|
This Repo contains a diffusers format version of the PixArt-Sigma Repos
PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
with the models loaded and saved in fp16 and bf16 formats, roughly halfing their sizes.
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw4.2 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
"### Training procedure:\n\n\n* We trained this model for 2 epochs on 160k data samples with SFT.\n* Afterwards we applied DPO for 1 epoch with 110k data.\n* LaserRMT version coming soon\n\n\nWe teached German language skills on this model. As far as we know, it is the first Qwen 32B model with bilingual skills in ... | [
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null | diffusers |
```python
# !pip install diffusers
from diffusers import DiffusionPipeline
import torch
from PIL import Image
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model_id = "eurecom-ds/scoresdeve-conditional-ema-shapes3d-64"
# load model and scheduler
pipe = DiffusionPipeline.from_pretrained(model... | {"library_name": "diffusers", "datasets": ["eurecom-ds/shapes3d"]} | eurecom-ds/scoresdeve-conditional-ema-shapes3d-64 | null | [
"diffusers",
"safetensors",
"dataset:eurecom-ds/shapes3d",
"region:us"
] | null | 2024-04-15T08:53:21+00:00 | [] | [] | TAGS
#diffusers #safetensors #dataset-eurecom-ds/shapes3d #region-us
|
!image/png
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"TAGS\n#diffusers #safetensors #dataset-eurecom-ds/shapes3d #region-us \n"
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null | transformers |
# bingbort/Einstein_x_Dolphin-Q8_0-GGUF
This model was converted to GGUF format from [`bingbort/Einstein_x_Dolphin`](https://huggingface.co/bingbort/Einstein_x_Dolphin) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Weyaxi/Einstein-v6-7B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | bingbort/Einstein_x_Dolphin-Q8_0-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:Weyaxi/Einstein-v6-7B",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T08:53:24+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Weyaxi/Einstein-v6-7B #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #endpoints_compatible #region-us
|
# bingbort/Einstein_x_Dolphin-Q8_0-GGUF
This model was converted to GGUF format from 'bingbort/Einstein_x_Dolphin' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# bingbort/Einstein_x_Dolphin-Q8_0-GGUF\nThis model was converted to GGUF format from 'bingbort/Einstein_x_Dolphin' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Weyaxi/Einstein-v6-7B #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #endpoints_compatible #region-us \n",
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null | null |
# DavidAU/Solstice-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Solstice-Mixtral-v1`](https://huggingface.co/Sao10K/Solstice-Mixtral-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Himitsui/Lewd-Assistant-v1"], "base_model": "mistralai/Mixtral-8x7B-v0.1"} | DavidAU/Solstice-Mixtral-v1-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Himitsui/Lewd-Assistant-v1",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T08:54:09+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Himitsui/Lewd-Assistant-v1 #base_model-mistralai/Mixtral-8x7B-v0.1 #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Solstice-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Solstice-Mixtral-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/Solstice-Mixtral-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Solstice-Mixtral-v1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\... | [
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"# DavidAU/Solstice-Mixtral-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Solstice-Mixtral-v1' using URL via the URL's GGUF-my-repo space... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-Himitsui/Lewd-Assistant-v1 #base_model-mistralai/Mixtral-8x7B-v0.1 #license-cc-by-nc-4.0 #region-us \n# DavidAU/Solstice-Mixtral-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Solstice-Mixtral-v1' using URL via the URL's GGUF-my-repo space.\nRef... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | juny76/sql-mistral-7b-finetune | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T08:54:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
# SkillTree Model Collection
Applying a skill to your model with SkillTree is akin to unlocking a new ability in a video game's skill tree. Just as you would enhance your character's capabilities by selecting and activating specific skills, you can augment your model's abilities by integrating specialized skills. Fol... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["SkillTree", "mistral"]} | HachiML/SkillTree-Chat-LAB-Mistral-7B-v0.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"SkillTree",
"arxiv:2310.04799",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T08:55:11+00:00 | [
"2310.04799"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #SkillTree #arxiv-2310.04799 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# SkillTree Model Collection
Applying a skill to your model with SkillTree is akin to unlocking a new ability in a video game's skill tree. Just as you would enhance your character's capabilities by selecting and activating specific skills, you can augment your model's abilities by integrating specialized skills. Fol... | [
"# SkillTree Model Collection\n\nApplying a skill to your model with SkillTree is akin to unlocking a new ability in a video game's skill tree. Just as you would enhance your character's capabilities by selecting and activating specific skills, you can augment your model's abilities by integrating specialized skill... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #SkillTree #arxiv-2310.04799 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# SkillTree Model Collection\n\nApplying a skill to your model with SkillTree is akin to unlocking a new ability in a... | [
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null | null | ¿Qué es Complex RXB?
Complex RXB cápsula es un suplemento dietético de última generación formulado para apoyar la salud y la movilidad de las articulaciones. Está meticulosamente elaborado con una mezcla de ingredientes naturales conocidos por su eficacia para promover la flexibilidad de las articulaciones, reducir la... | {"license": "apache-2.0"} | ComplexRXB/ComplexRXB | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T08:55:40+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ¿Qué es Complex RXB?
Complex RXB cápsula es un suplemento dietético de última generación formulado para apoyar la salud y la movilidad de las articulaciones. Está meticulosamente elaborado con una mezcla de ingredientes naturales conocidos por su eficacia para promover la flexibilidad de las articulaciones, reducir la... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Fizzarolli/lust-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a wee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "conversational", "trl", "unsloth"], "datasets": ["Fizzarolli/rpguild_processed", "Fizzarolli/bluemoon_processeed"], "base_model": "Fizzarolli/lust-7b", "quantized_by": "mradermacher"} | mradermacher/lust-7b-GGUF | null | [
"transformers",
"gguf",
"roleplay",
"conversational",
"trl",
"unsloth",
"en",
"dataset:Fizzarolli/rpguild_processed",
"dataset:Fizzarolli/bluemoon_processeed",
"base_model:Fizzarolli/lust-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T08:55:55+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #conversational #trl #unsloth #en #dataset-Fizzarolli/rpguild_processed #dataset-Fizzarolli/bluemoon_processeed #base_model-Fizzarolli/lust-7b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #roleplay #conversational #trl #unsloth #en #dataset-Fizzarolli/rpguild_processed #dataset-Fizzarolli/bluemoon_processeed #base_model-Fizzarolli/lust-7b #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
82
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] |
null | null |
# DavidAU/Stheno-1.8-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Stheno-1.8-L2-13B`](https://huggingface.co/Sao10K/Stheno-1.8-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Stheno-1.8-L2-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T08:59:26+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Stheno-1.8-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Stheno-1.8-L2-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/Stheno-1.8-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Stheno-1.8-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n",
"# DavidAU/Stheno-1.8-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Stheno-1.8-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with UR... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | weqweasdas/raft_baseline_zephyr_packing_model6 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T09:01:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"## Model Details",
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null | transformers |
<!-- 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 comment. -->
# PolizzeDonut-ChangeRequest-cluster1-3epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-cluster1-3epochs", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-cluster1-3epochs | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T09:01:37+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# PolizzeDonut-ChangeRequest-cluster1-3epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
"# PolizzeDonut-ChangeRequest-cluster1-3epochs\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information n... | [
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automatic-speech-recognition | transformers |
<!-- 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 comment. -->
# QURANIC Whisper Large V3 - revised
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai... | {"language": ["ar"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "QURANIC Whisper Large V3 - revised", "results": [{"task": {"type": "automat... | ahishamm/finetuned-whisper-quranic-large-v3-revised | null | [
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"base_model:openai/whisper-large-v3",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
... | null | 2024-04-15T09:04:56+00:00 | [] | [
"ar"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #hf-asr-leaderboard #generated_from_trainer #ar #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large-v3 #license-apache-2.0 #model-index #endpoints_compatible #region-us
| QURANIC Whisper Large V3 - revised
==================================
This model is a fine-tuned version of openai/whisper-large-v3 on the Common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2252
* Wer: 163.3859
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | HoangLe1312/codecontest-solver | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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text-generation | transformers | <p align="left">
<img src="https://huggingface.co/algograp-Inc/algograpV4/resolve/main/algograp_logo_bk@1x.png" width="50%"/>
<p>
# algograp-Inc/algograpV4
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
- **Developed by:** algograp-Inc
- **License:** cc-by-nc-4.0
## Hardware and S... | {"language": ["ko"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | algograp-Inc/algograpV4 | null | [
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| <p align="left">
<img src="URL width="50%"/>
<p>
# algograp-Inc/algograpV4
## Model Details
- Developed by: algograp-Inc
- License: cc-by-nc-4.0
## Hardware and Software
* Hardware: We utilized an H100x4 * 1
* Training Factors: We fine-tuned this model using a combination of the DeepSpeed library and the Hug... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bdsaglam/llama-2-7b-chat-jerx-peft-no7k0zc7 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# DavidAU/Solstice-11B-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Solstice-11B-v1`](https://huggingface.co/Sao10K/Solstice-11B-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Himitsui/Lewd-Assistant-v1"]} | DavidAU/Solstice-11B-v1-Q6_K-GGUF | null | [
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|
# DavidAU/Solstice-11B-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Solstice-11B-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
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text-generation | transformers | # ResplendentAI/Aura_7B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Aura_7B](https://huggingface.co/ResplendentAI/Aura_7B)
## Model Summary
Aura is... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "base_model": ["ResplendentAI/Datura_7B", "jeiku/selfbot_256_mistral"], "pipeline_tag": "text-generation", "inference": false, "promp... | solidrust/Aura_7B-AWQ | null | [
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"license:other",
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"en"
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| # ResplendentAI/Aura_7B AWQ
- Model creator: ResplendentAI
- Original model: Aura_7B
!image/png
## Model Summary
Aura is an advanced sentience simulation trained on my own philosophical writings. It has been tested with various character cards and it worked with all of them. This model may not be overly intelligent... | [
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null | peft |
<!-- 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 comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | abdullahfurquan/mistral_instruct_generation | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.1 #license-apache-2.0 #region-us
|
# mistral_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-9B-layer-mix-bpw-2.5 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-9B-layer-mix-bpw-2.2 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-9B-layer-mix-bpw-3.0 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-urmzxzt | null | [
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"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T09:13:45+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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audio-classification | transformers |
<!-- 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 comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | Eveready/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4534
* Accuracy: 0.89
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Cafet/w2v-bert-2.0-mongolian-colab-CV16.1_and_Fleur | null | [
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"wav2vec2-bert",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # ResplendentAI/DaturaCookie_7B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [DaturaCookie_7B](https://huggingface.co/ResplendentAI/DaturaCookie_7B)
#... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "not-for-all-audiences"], "datasets": ["ResplendentAI/Luna_NSFW_Text", "unalignment/toxic-dpo-v0.2", "ResplendentAI/Synthetic_Soul_1k"... | solidrust/DaturaCookie_7B-AWQ | null | [
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"en",
"dataset:ResplendentAI/Luna_NSFW_Text",
"dataset:unalignment/toxic-dpo-v0.2",
"dataset:ResplendentAI/Synthetic_Sou... | null | 2024-04-15T09:15:43+00:00 | [] | [
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- Model creator: ResplendentAI
- Original model: DaturaCookie_7B
!image/png
## Model Summary
Proficient at roleplaying and lightehearted conversation, this model is prone to NSFW outputs.
# Vision/multimodal capabilities:
If you want to use vision functionality:
You must use t... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Citaman/Mistral_31_layer
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Citaman/Mistral_31_layer", "quantized_by": "mradermacher"} | mradermacher/Mistral_31_layer-GGUF | null | [
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] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Citaman/Mistral_31_layer #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="matand94/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | matand94/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# Inex12Multiverseex26-7B
Inex12Multiverseex26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MSL7/INEX12-7b](https://huggingface.co/MSL7/INEX12-7b)
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/Multivers... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MSL7/INEX12-7b", "allknowingroger/MultiverseEx26-7B-slerp"]} | automerger/Inex12Multiverseex26-7B | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-15T09:21:33+00:00 | [] | [] | TAGS
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|
# Inex12Multiverseex26-7B
Inex12Multiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
* MSL7/INEX12-7b
* allknowingroger/MultiverseEx26-7B-slerp
## Configuration
## Usage
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-9B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-9B-channel-mix-bpw-2.2 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-9B-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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