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text-generation | transformers | # Flammen-Bruphin
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:
* [nbeerbower/bruphin-lambda](https:... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/bruphin-lambda", "nbeerbower/flammen13X-mistral-7B"]} | nbeerbower/Flammen-Bruphin | null | [
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| # Flammen-Bruphin
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:
* nbeerbower/bruphin-lambda
* nbeerbower/flammen13X-mistral-7B
### Confi... | [
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null | null | # model_oxide_vacancy
Random forest model to predict the formation energy of O vacancies in oxides
| {} | rjacobs3/model_oxide_vacancy | null | [
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#region-us
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Random forest model to predict the formation energy of O vacancies in oxides
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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. -->
# outputs
This model is a fine-tuned version of [dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978](https://huggingface.co/dyn... | {"tags": ["alignment-handbook", "trl", "sft", "unsloth", "generated_from_trainer", "trl", "sft", "unsloth", "generated_from_trainer", "unsloth"], "datasets": ["dynamofl/toxicity-policy-v3"], "base_model": "dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978", "model-index": [{"name": "outputs", "results": []}]} | tosh97/outputs | null | [
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=======
This model is a fine-tuned version of dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978 on the dynamofl/toxicity-policy-v3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5210
Model description
-----------------
More information needed
Intended uses & limitation... | [
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text-generation | transformers | # Suppe-v1-7B
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/E... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mlabonne/AlphaMonarch-7B", "mlabonne/Zebrafish-7B", "chihoonlee10/T3Q-Mistral-Orca-Math-DPO", "automerger/YamshadowExperiment28-7B", "yam-peleg/Experiment26-7B"]} | nbeerbower/Suppe-v1-7B | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using yam-peleg/Experiment26-7B as a base.
### Models Merged
The following models were included in the merge:
* mlabonne/AlphaMonarch-7B
* ... | [
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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. -->
# ABSA-SentencePair-DAPT-HARD-4248-bert-base-Camel-MSA-ru2
This model is a fine-tuned version of [salohnana2018/HARD_without_dp_42... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "salohnana2018/HARD_without_dp_4248_camel_prepocessed_ASC", "model-index": [{"name": "ABSA-SentencePair-DAPT-HARD-4248-bert-base-Camel-MSA-ru2", "results": []}]} | salohnana2018/ABSA-SentencePair-DAPT-HARD-4248-bert-base-Camel-MSA-ru2 | null | [
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| ABSA-SentencePair-DAPT-HARD-4248-bert-base-Camel-MSA-ru2
========================================================
This model is a fine-tuned version of salohnana2018/HARD\_without\_dp\_4248\_camel\_prepocessed\_ASC on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4529
* Accura... | [
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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| {"license": "mit", "title": "Voice Clone", "emoji": "\ud83c\udfc3", "colorFrom": "blue", "colorTo": "blue", "sdk": "gradio", "sdk_version": "4.5.0", "app_file": "app.py", "pinned": false} | antoniomae/clone-voive30 | null | [
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Check out the configuration reference at URL
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null | null |
GGUF version of [Isotonic/Mixnueza-6x32M-MoE](https://huggingface.co/Isotonic/Mixnueza-6x32M-MoE).
It was not possible to quantize the model, so only the F16 and F32 GGUF files are available.
## Try it with [llama.cpp](https://github.com/ggerganov/llama.cpp)
```bash
brew install ggerganov/ggerganov/llama.cpp
```
``... | {"license": "apache-2.0", "base_model": "Isotonic/Mixnueza-6x32M-MoE"} | Felladrin/gguf-Mixnueza-6x32M-MoE | null | [
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#gguf #base_model-Isotonic/Mixnueza-6x32M-MoE #license-apache-2.0 #region-us
|
GGUF version of Isotonic/Mixnueza-6x32M-MoE.
It was not possible to quantize the model, so only the F16 and F32 GGUF files are available.
## Try it with URL
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TheDrummer/Moistral-11B-v2.1b-SOGGY
<!-- provided-files -->
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 plann... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "TheDrummer/Moistral-11B-v2.1b-SOGGY", "license_link": "LICENSE", "license_name": "freeuse", "quantized_by": "mradermacher"} | mradermacher/Moistral-11B-v2.1b-SOGGY-GGUF | null | [
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| 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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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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null | transformers |
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text-generation | transformers |
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text-generation | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- load_in_4bit: True
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text-generation | transformers |
# HeatherSpell-7b
HeatherSpell-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [yam-peleg/Exper... | {"tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Experiment26-7B", "Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5"], "base_model": ["yam-peleg/Experiment26-7B", "Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5"]} | MysticFoxMagic/HeatherSpell-7b | null | [
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!image/jpeg
# HeatherSpell-7b
HeatherSpell-7b is a merge of the following models using LazyMergekit:
* yam-peleg/Experiment26-7B
* Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5
## Configuration
## Usage
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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. -->
# distilbert-v0
This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-cased", "model-index": [{"name": "distilbert-v0", "results": []}]} | labicquette/distilbert-v0 | null | [
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| distilbert-v0
=============
This model is a fine-tuned version of distilbert/distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4249
* Precision: 0.0860
* Recall: 0.0883
* F1: 0.0792
* Accuracy: 0.1013
Model description
-----------------
More informat... | [
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text-generation | transformers | <!-- header start -->
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object-detection | 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": []} | alterf/rec_v0 | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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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": []} | OwOOwO/you_peasants1 | null | [
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text-generation | transformers | # zebra
<img src="zebra.png" width="100%" height="auto">
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [mlabonne/Zebrafish-... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["birgermoell/Munin-NeuralBeagle-NorskGPT", "mlabonne/AlphaMonarch-7B", "mlabonne/Zebrafish-7B"]} | birgermoell/zebra | null | [
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| # zebra
<img src="URL" width="100%" height="auto">
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using mlabonne/Zebrafish-7B as a base.
### Models Merged
The following models were included in the merg... | [
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text-classification | fastai |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | {"language": ["pt"], "license": "apache-2.0", "library_name": "fastai", "tags": ["code"], "datasets": ["0x7o/klara-voice"], "metrics": ["brier_score", "cer"], "title": "Voice Clone", "emoji": "\ud83c\udfc3", "colorFrom": "blue", "colorTo": "blue", "sdk": "gradio", "sdk_version": "4.5.0", "app_file": "app.py", "pinned":... | antoniomae/Voice-Clone | null | [
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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-v2-sec-cpt-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["arcee-ai/sec-data-mini"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-instruct-v2-sec-cpt-qlora", "results": []}]} | Shamane/mistral-instruct-v2-sec-cpt-qlora | null | [
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|
# mistral-instruct-v2-sec-cpt-qlora
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the arcee-ai/sec-data-mini dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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"## Model description\n\nMore information needed",
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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": []} | ahmedgongi/mistral_version2 | null | [
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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 | <!-- header start -->
<!-- 200823 -->
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null | null |
A mirror of the [Video-ReCap](https://github.com/md-mohaiminul/VideoRecap) models.
## Usage
```
huggingface-cli download --local-dir pretrained_models --local-dir-use-symlinks False mrfakename/Video-ReCap
```
```
MIT License
Copyright (c) 2024 Md Mohaiminul Islam
Permission is hereby granted, free of charge, to a... | {"license": "mit"} | mrfakename/Video-ReCap | null | [
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A mirror of the Video-ReCap models.
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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. -->
# scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_beta2
This model is a fine-tuned version of [facebook/xlm-v-base](https://h... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "facebook/xlm-v-base", "model-index": [{"name": "scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_beta2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, ... | haryoaw/scenario-TCR-XLMV_data-AmazonScience_massive_all_1_1_beta2 | null | [
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================================================================
This model is a fine-tuned version of facebook/xlm-v-base on the massive dataset.
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* F1: 0.8258
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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-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712098940655x413492375607255300
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Shortyzzzz/Chucggh"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712098940655x413492375607255300 | null | [
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# LoRA DreamBooth - squaadinc/1712098940655x413492375607255300
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-tmp
<Gallery />
## Model descriptio... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-tmp | null | [
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|
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-tmp
<Gallery />
## Model description
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Alsebay/HyouKan-3x7B
<!-- provided-files -->
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. Fe... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "merge", "Roleplay"], "base_model": "Alsebay/HyouKan-3x7B", "quantized_by": "mradermacher"} | mradermacher/HyouKan-3x7B-GGUF | null | [
"transformers",
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"en",
"base_model:Alsebay/HyouKan-3x7B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #moe #merge #Roleplay #en #base_model-Alsebay/HyouKan-3x7B #license-cc-by-nc-4.0 #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... | [] | [
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
### Direct Use
This model should only be used for testing using the ["full neighbour finder" for details refer here](https://github.com/ubc-systo... | {"license": "unknown", "datasets": ["SauravMaheshkar/NDC-classes"], "metrics": ["accuracy", "precision", "f1"], "pipeline_tag": "graph-ml"} | SauravMaheshkar/CATWalk-NDC-classes | null | [
"graph-ml",
"dataset:SauravMaheshkar/NDC-classes",
"arxiv:2306.11147",
"arxiv:1802.06916",
"license:unknown",
"region:us"
] | null | 2024-04-02T23:21:30+00:00 | [
"2306.11147",
"1802.06916"
] | [] | TAGS
#graph-ml #dataset-SauravMaheshkar/NDC-classes #arxiv-2306.11147 #arxiv-1802.06916 #license-unknown #region-us
|
## Model Details
### Model Sources
- Repository: ubc-systopia/CATWalk
- Paper: URL
### Direct Use
This model should only be used for testing using the "full neighbour finder" for details refer here
## Training Details
### Training Data
- Dataset: SauravMaheshkar/NDC-classes
- Dataset Source: Simplicial Closure... | [
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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="basil-ahmad/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional... | {"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": ... | basil-ahmad/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T23:21:38+00:00 | [] | [] | TAGS
#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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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="basil-ahmad/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | basil-ahmad/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T23:25:46+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw2.5 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"merge",
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"arxiv:2312.15166",
"arxiv:2310.06825",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T23:27:58+00:00 | [
"2312.15166",
"2310.06825"
] | [] | TAGS
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
"# Credit for the model card's description goes to ddh0, mergekit, and, mistralai",
"# Mistral-12.25B-Instruct-v0.2\n\nThis is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.\n\nThis model is intended to be used as a basis for further fine-tuning, or as a drop-in upgr... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/openlm-research-open_llama_3b-bnb-4bit-smashed | null | [
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#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
### Direct Use
This model should only be used for testing using the ["full neighbour finder" for details refer here](https://github.com/ubc-systo... | {"license": "unknown", "datasets": ["SauravMaheshkar/congress-bills"], "metrics": ["accuracy", "precision", "f1"], "pipeline_tag": "graph-ml"} | SauravMaheshkar/CATWalk-congress-bills | null | [
"graph-ml",
"dataset:SauravMaheshkar/congress-bills",
"arxiv:2306.11147",
"arxiv:1802.06916",
"license:unknown",
"region:us"
] | null | 2024-04-02T23:43:51+00:00 | [
"2306.11147",
"1802.06916"
] | [] | TAGS
#graph-ml #dataset-SauravMaheshkar/congress-bills #arxiv-2306.11147 #arxiv-1802.06916 #license-unknown #region-us
|
## Model Details
### Model Sources
- Repository: ubc-systopia/CATWalk
- Paper: URL
### Direct Use
This model should only be used for testing using the "full neighbour finder" for details refer here
## Training Details
### Training Data
- Dataset: SauravMaheshkar/congress-bills
- Dataset Source: Simplicial Clos... | [
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text-to-image | diffusers | # Pekomama SDXL LoRA
<Gallery />
## Model description
Ara~ Pekomama its here, Pekomama now available as SDXL LoRA Trained using Animagine XL 3.1.
Example Tags usage
`1girl, pekomama, solo, long hair, smile, mature female, red eyes, (very aethetic, best quality, ultra detailed), intricate details`
Weight Recommen... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1girl, pekomama, long hair, smile, mature female, red eyes, bare shoulders, dress, detached sleeves, hair over shoulder, looking at viewer, outdoors, cowboy shot, dab \\(dance\\), (very a... | Asahina2K/mypekomama | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:cagliostrolab/animagine-xl-3.1",
"license:other",
"region:us"
] | null | 2024-04-02T23:44:29+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-other #region-us
| # Pekomama SDXL LoRA
<Gallery />
## Model description
Ara~ Pekomama its here, Pekomama now available as SDXL LoRA Trained using Animagine XL 3.1.
Example Tags usage
'1girl, pekomama, solo, long hair, smile, mature female, red eyes, (very aethetic, best quality, ultra detailed), intricate details'
Weight Recommen... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/mosaicml-mpt-7b-8k-bnb-8bit-smashed | null | [
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"text-generation",
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"custom_code",
"autotrain_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-02T23:45:16+00:00 | [] | [] | TAGS
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/airoboros-34b-3.3
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/airoboros-34b-3.3-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to ... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/... | mradermacher/airoboros-34b-3.3-GGUF | null | [
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"dataset:jondurbin/cinematika-v0.1",
"dataset:glaiveai/glaive-function-calling-v2",
"dataset:grimulkan/Lim... | null | 2024-04-02T23:45:26+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-jondurbin/airoboros-3.2 #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-jondurbin/gutenberg-dpo-v0.1 #dataset-LDJnr/Capybara #dataset-jondurbin/cinematika-v0.1 #dataset-glaiveai/glaive-function-calling-v2 #dataset-grimulkan/LimaRP-augmented #dataset-piqa #dataset-Ve... | About
-----
static quants of URL
weighted/imatrix 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. ... | [] | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/bagel-dpo-20b-v04
**This uses only 95k tokens of my standard set, as the model overflowed with more.**
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/... | {"language": ["en"], "license": "other", "library_name": "transformers", "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-... | mradermacher/bagel-dpo-20b-v04-i1-GGUF | null | [
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-----
weighted/imatrix quants of URL
This uses only 95k tokens of my standard set, as the model overflowed with more.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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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": []} | Auruncus/lsg-mbart-lsh-ru-128-4-4096-1 | null | [
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"1910.09700"
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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:
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
### Direct Use
This model should only be used for testing using the ["full neighbour finder" for details refer here](https://github.com/ubc-systo... | {"license": "unknown", "datasets": ["SauravMaheshkar/contact-high-school"], "metrics": ["accuracy", "precision", "f1"], "pipeline_tag": "graph-ml"} | SauravMaheshkar/CATWalk-contact-high-school | null | [
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|
## Model Details
### Model Sources
- Repository: ubc-systopia/CATWalk
- Paper: URL
### Direct Use
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## Training Details
### Training Data
- Dataset: SauravMaheshkar/contact-high-school
- Dataset Source: Simplicial... | [
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text-to-image | diffusers |
# Copax TimeLessXL v11 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "copax-timelessx... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/copax-timelessxl-v11 | null | [
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"region:us"
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Copax TimeLessXL v11 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "copax-timelessxl-v11"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw3 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
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text-to-image | diffusers |
# SoteDiffusion Cascade
Anime finetune of Stable Cascade Decoder.
No commercial use thanks to StabilityAI.
## Code Example
```shell
pip install diffusers
```
```python
import torch
from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline
prompt = "newest, 1girl, solo, cat ears, looking a... | {"license": "other", "pipeline_tag": "text-to-image", "license_name": "stable-cascade-nc-community", "license_link": "LICENSE"} | Disty0/sote-diffusion-cascade-decoder_alpha0 | null | [
"diffusers",
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"text-to-image",
"license:other",
"diffusers:StableCascadeDecoderPipeline",
"region:us"
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#diffusers #safetensors #text-to-image #license-other #diffusers-StableCascadeDecoderPipeline #region-us
|
# SoteDiffusion Cascade
Anime finetune of Stable Cascade Decoder.
No commercial use thanks to StabilityAI.
## Code Example
## Dataset
Used the same dataset as Disty0/sote-diffusion-cascade-decoder_pre-alpha0.
Trained with 98K~ images.
## Training:
GPU used for training: 1x AMD RX 7900 XTX 24GB
Sof... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/openlm-research-open_llama_7b_v2-bnb-4bit-smashed | null | [
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"text-generation",
"pruna-ai",
"autotrain_compatible",
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"4-bit",
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
### Direct Use
This model should only be used for testing using the ["full neighbour finder" for details refer here](https://github.com/ubc-systo... | {"license": "unknown", "datasets": ["SauravMaheshkar/contact-primary-school"], "metrics": ["accuracy", "precision", "f1"], "pipeline_tag": "graph-ml"} | SauravMaheshkar/CATWalk-contact-primary-school | null | [
"graph-ml",
"dataset:SauravMaheshkar/contact-primary-school",
"arxiv:2306.11147",
"arxiv:1802.06916",
"license:unknown",
"region:us"
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"1802.06916"
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|
## Model Details
### Model Sources
- Repository: ubc-systopia/CATWalk
- Paper: URL
### Direct Use
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### Training Data
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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": "baichuan-inc/Baichuan2-7B-Chat"} | Dawn90/Baichuan2-7b-medical-notes | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:baichuan-inc/Baichuan2-7B-Chat",
"region:us"
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"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
### Direct Use
This model should only be used for testing using the ["full neighbour finder" for details refer here](https://github.com/ubc-systo... | {"license": "unknown", "datasets": ["SauravMaheshkar/email-Enron"], "metrics": ["accuracy", "precision", "f1"], "pipeline_tag": "graph-ml"} | SauravMaheshkar/CATWalk-email-Enron | null | [
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### Model Sources
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- Paper: URL
### Direct Use
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## Training Details
### Training Data
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text-to-image | diffusers |
# SoteDiffusion Cascade
Anime finetune of Stable Cascade.
Currently is in very early state in training.
No commercial use thanks to StabilityAI.
<style>
.image {
float: left;
margin-left: 10px;
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</style>
<table>
<img class="image" src="https://cdn-uploads.huggingface.co/production/uploads/6456af61950... | {"license": "other", "pipeline_tag": "text-to-image", "license_name": "stable-cascade-nc-community", "license_link": "LICENSE"} | Disty0/sote-diffusion-cascade_alpha0 | null | [
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"safetensors",
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"license:other",
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"region:us"
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#diffusers #safetensors #text-to-image #license-other #diffusers-StableCascadePriorPipeline #region-us
| SoteDiffusion Cascade
=====================
Anime finetune of Stable Cascade.
Currently is in very early state in training.
No commercial use thanks to StabilityAI.
.image {
float: left;
margin-left: 10px;
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Code Example
------------
Training Status:
----------------
Alpha0 Release: This release rese... | [
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feature-extraction | transformers |
# Model card for ViTamin-XL-336px
Official huggingface models of **ViTamin**, from the following CVPR 2024 paper:
[ViTamin: Design Scalable Vision Models in the Vision-language Era](https://arxiv.org/pdf/2404.02132.pdf).\
✨  [Jieneng Chen](https://beckschen.github.io), [Qihang Yu](https://yucornetto.github.io/)... | {"license": "mit", "datasets": ["mlfoundations/datacomp_1b"], "pipeline_tag": "feature-extraction"} | jienengchen/ViTamin-XL-384px | null | [
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| Model card for ViTamin-XL-336px
===============================
Official huggingface models of ViTamin, from the following CVPR 2024 paper:
ViTamin: Design Scalable Vision Models in the Vision-language Era.
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan Yuille and Liang-Chieh Chen
Johns Hopkins University, Byt... | [] | [
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text2text-generation | transformers |
# Model Trained Using AutoTrain
- Problem type: Seq2Seq
## Validation Metrics
loss: 0.056124866008758545
rouge1: 79.1478
rouge2: 77.9096
rougeL: 79.12
rougeLsum: 79.109
gen_len: 19.0
runtime: 80.7915
samples_per_second: 12.477
steps_per_second: 3.119
: 3.0
| {"tags": ["autotrain", "text2text-generation"], "datasets": ["autotrain-xh45u-bud11/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | viggneshk/autotrain-xh45u-bud11 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Seq2Seq
## Validation Metrics
loss: 0.056124866008758545
rouge1: 79.1478
rouge2: 77.9096
rougeL: 79.12
rougeLsum: 79.109
gen_len: 19.0
runtime: 80.7915
samples_per_second: 12.477
steps_per_second: 3.119
: 3.0
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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": []} | 0x0uncle0/Uncle1 | null | [
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# Model Card for Model ID
## Model Details
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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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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
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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": []} | 0x0uncle0/Uncle12 | null | [
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# Model Card for Model ID
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147
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graph-ml | null |
## Model Details
### Model Sources
- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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text-classification | setfit |
# SetFit with sentence-transformers/all-MiniLM-L6-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) as the Sentence Transformer embe... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "According to the second chart the most popular country visited by UK residents at this period of time was France, which was visited by about 11 mi... | Zlovoblachko/L1-classifier | null | [
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| SetFit with sentence-transformers/all-MiniLM-L6-v2
==================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-MiniLM-L6-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for cl... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/all-MiniLM-L6-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 256 tokens\n* Number of Classes: 5 classes",
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw3.5 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Joseph717171/Mistral-12.25B-Instruct-v0.2
<!-- provided-files -->
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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Joseph717171/Mistral-12.25B-Instruct-v0.2", "quantized_by": "mradermacher"} | mradermacher/Mistral-12.25B-Instruct-v0.2-GGUF | null | [
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| 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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text-generation | transformers | <!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/NousResearch-Llama-2-7b-hf-bnb-8bit-smashed | null | [
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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. -->
# azahead-longformer-v1.0
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/long... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["azaheadhealth"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "azahead-longformer-v1.0", "results": [{"task": {"type": "text-classification", "name": "Text Classifi... | zwellington/azahead-longformer-v1.0 | null | [
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| azahead-longformer-v1.0
=======================
This model is a fine-tuned version of allenai/longformer-base-4096 on the azaheadhealth dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6326
* Accuracy: 0.7917
* F1: 0.6667
* Precision: 0.625
* Recall: 0.7143
Model description
-----------... | [
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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": []} | atnanahidiw/donut-poc-1.1.0 | null | [
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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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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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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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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# KittyNyanster-v1
Is a beeg kitty.
# Benchmark
wth LLM Judge by FastChat. | {"license": "cc-by-nc-4.0", "tags": ["roleplay", "chat", "mistral"]} | arlineka/KittyNyanster-v1 | null | [
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# KittyNyanster-v1
Is a beeg kitty.
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!image/png
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null | transformers |
# Uploaded model
- **Developed by:** thevin123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | CodeTriad/dpo_model_2 | null | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw3.7 | null | [
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# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
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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": []} | atnanahidiw/donut-poc-1.1.1 | null | [
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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-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. -->
# azahead-longformer-v1.1
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/long... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["azaheadhealth"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "azahead-longformer-v1.1", "results": [{"task": {"type": "text-classification", "name": "Text Classifi... | zwellington/azahead-longformer-v1.1 | null | [
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| azahead-longformer-v1.1
=======================
This model is a fine-tuned version of allenai/longformer-base-4096 on the azaheadhealth dataset.
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* Accuracy: 0.875
* F1: 0.8
* Precision: 0.75
* Recall: 0.8571
Model description
----------------... | [
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text-to-audio | 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. -->
# malay_small_checkpoint
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evalu... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "malay_small_checkpoint", "results": []}]} | mikhail-panzo/malay_small_checkpoint | null | [
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| malay\_small\_checkpoint
========================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5618
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
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null | null | GGUFs for Psyonic Cetacean 20b v2 - https://huggingface.co/ToastyPigeon/psyonic-cetacean-20b-v2
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
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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. -->
# OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3
This model is a fine-tuned version of [salohnana2018/HARD_without_dp_4248_camel_prep... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE", "model-index": [{"name": "OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3", "results": []}]} | salohnana2018/OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3 | null | [
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| OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3
===========================================
This model is a fine-tuned version of salohnana2018/HARD\_without\_dp\_4248\_camel\_prepocessed\_OTE on the None dataset.
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* Precision: 0.7509
* Recall: 0.79... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5
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static quants are available at https://huggingface.co/mradermacher/bagel-dpo-34b-v0.5-GGUF
## Usage
If you are unsure how to use GGUF files, refer to o... | {"language": ["en"], "license": "other", "library_name": "transformers", "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-... | mradermacher/bagel-dpo-34b-v0.5-i1-GGUF | null | [
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-----
weighted/imatrix quants of URL
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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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. -->
# V0402MP1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0402MP1", "results": []}]} | Litzy619/V0402MP1 | null | [
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] | null | 2024-04-03T00:49:52+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0402MP1
========
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: 0.1581
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712105471169x564386120166151500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
TOK
```
Use this keyword to trigger your custom model in your prompts.
LoRA for ... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/neymar"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "TOK", "inference": false} | squaadinc/1712105471169x564386120166151500 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:RickGrimes001/neymar",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-03T00:51:36+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/neymar #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712105471169x564386120166151500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712105471169x564386120166151500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/neymar #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Chrisj998/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | Chrisj998/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-03T00:55:20+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Virt-io/Irene-RP-v4-7B
<!-- provided-files -->
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. ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge", "roleplay", "mistral"], "base_model": "Virt-io/Irene-RP-v4-7B", "quantized_by": "mradermacher"} | mradermacher/Irene-RP-v4-7B-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"mistral",
"en",
"base_model:Virt-io/Irene-RP-v4-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T00:56:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #roleplay #mistral #en #base_model-Virt-io/Irene-RP-v4-7B #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... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #roleplay #mistral #en #base_model-Virt-io/Irene-RP-v4-7B #endpoints_compatible #region-us \n"
] | [
49
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"TAGS\n#transformers #gguf #mergekit #merge #roleplay #mistral #en #base_model-Virt-io/Irene-RP-v4-7B #endpoints_compatible #region-us \n"
] |
text-to-image | diffusers |
<style>
.title-container {
display: flex;
justify-content: center;
align-items: center;
height: 100vh; /* Adjust this value to position the title vertically */
}
.title {
font-size: 2.5em;
text-align: center;
color: #333;
font-family: 'Helvetica Neue', sans-serif;
text-tran... | {"language": ["en"], "license": "other", "tags": ["text-to-image", "stable-diffusion", "safetensors", "stable-diffusion-xl"], "license_name": "faipl-1.0-sd", "license_link": "https://freedevproject.org/faipl-1.0-sd/", "base_model": "cagliostrolab/animagine-xl-3.0", "widget": [{"text": "1girl, green hair, sweater, looki... | Asahina2K/Animagine-xl-3.1-diffuser-variant-fp16 | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"safetensors",
"stable-diffusion-xl",
"en",
"base_model:cagliostrolab/animagine-xl-3.0",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-03T00:57:41+00:00 | [] | [
"en"
] | TAGS
#diffusers #text-to-image #stable-diffusion #safetensors #stable-diffusion-xl #en #base_model-cagliostrolab/animagine-xl-3.0 #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionXLPipeline #region-us
|
.title-container {
display: flex;
justify-content: center;
align-items: center;
height: 100vh; /\* Adjust this value to position the title vertically \*/
}
.title {
font-size: 2.5em;
text-align: center;
color: #333;
font-family: 'Helvetica Neue', sans-serif;
text-transform: uppercase;
letter-spacing: 0.... | [
"### Tag Ordering\n\n\nFor optimal results, it's recommended to follow the structured prompt template because we train the model like this:\n\n\nSpecial Tags\n------------\n\n\nAnimagine XL 3.1 utilizes special tags to steer the result toward quality, rating, creation date and aesthetic. While the model can generat... | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #safetensors #stable-diffusion-xl #en #base_model-cagliostrolab/animagine-xl-3.0 #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionXLPipeline #region-us \n",
"### Tag Ordering\n\n\nFor optimal results, it's recommended to follow the struct... | [
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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. -->
# V0402MP2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0402MP2", "results": []}]} | Litzy619/V0402MP2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-03T00:59:31+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0402MP2
========
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: 0.1715
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw4 | null | [
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"mistral",
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"arxiv:2312.15166",
"arxiv:2310.06825",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-03T00:59:36+00:00 | [
"2312.15166",
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] | [] | TAGS
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
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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... | Floweii/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T01:01:59+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.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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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. -->
# V0402MP3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0402MP3", "results": []}]} | Litzy619/V0402MP3 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-03T01:02:29+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0402MP3
========
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: 0.1581
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# V0402MP4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0402MP4", "results": []}]} | Litzy619/V0402MP4 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-03T01:03:29+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0402MP4
========
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: 0.1715
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | Jung-Been/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T01:04:20+00:00 | [] | [] | TAGS
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2218
* Accuracy: 0.9215
* F1: 0.9218
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# V0402MP5
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0402MP5", "results": []}]} | Litzy619/V0402MP5 | null | [
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| V0402MP5
========
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: 0.1581
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-classification | transformers |
The model outputs 1 & 0. Where, 1 is "Positive" & 2 in "Negative". | {"language": ["en"], "datasets": ["stanfordnlp/sst2"], "metrics": [{"accuracy": 0.91789}]} | syedkhalid076/RoBERTa-Sentimental-Analysis-Model | null | [
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sentence-similarity | sentence-transformers |
# kardy04/plugin-embedding-sts-0403
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mod... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kardy04/plugin-embedding-sts-0403 | null | [
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|
# kardy04/plugin-embedding-sts-0403
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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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": []} | nxquang-al/unichart-base-960-decoder | 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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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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reinforcement-learning | null |
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
```python
{'exp_name': 'argument_parser'
'gym_id': 'CartPole-v1'
'learning_rate': 0.00025
'seed': 1
'total_timesteps': 25000
'torch_deterministic': True
'cuda': False
'mac_gpu': F... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | WokeEngineer/Custom-PPO-CartPole-v1 | null | [
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"ppo",
"deep-reinforcement-learning",
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] | null | 2024-04-03T01:17:27+00:00 | [] | [] | TAGS
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|
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
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null | null | https://civitai.com/models/20065?modelVersionId=169073 | {"license": "creativeml-openrail-m"} | LarryAIDraw/winterV4 | null | [
"license:creativeml-openrail-m",
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null | null | https://civitai.com/models/380828/reika-rikudou-fateapocrypha-lora | {"license": "creativeml-openrail-m"} | LarryAIDraw/rikudoureika-nvwls-v1 | null | [
"license:creativeml-openrail-m",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-opt-1.3b-bnb-4bit-smashed | null | [
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|
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
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![Discord](URL... | [
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