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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": []} | Mouwiya/image-model-demo2 | 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.
- Developed by:
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fill-mask | 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": []} | LucasMagnana/Pictalk_zero | 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. -->
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": []} | nuebaek/komt_mistral_mss_user_0_max_steps_100 | 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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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# jfforero/distilbert-base-uncased-BERT-POET4
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "jfforero/distilbert-base-uncased-BERT-POET4", "results": []}]} | jfforero/distilbert-base-uncased-BERT-POET4 | null | [
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| jfforero/distilbert-base-uncased-BERT-POET4
===========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 5.1468
* Validation Loss: 5.1955
* Epoch: 0
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_schedule\\_fn': {'module': 'kera... | [
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text-generation | transformers |
# Model Card for Minerva-1B-base-v1.0
Minerva is the first family of **truly-open (data and model) Italian-English LLMs pretrained from scratch** developed by [Sapienza NLP](https://nlp.uniroma1.it)
in collaboration with [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) and [CINECA](https:/... | {"language": ["it", "en"], "license": "apache-2.0", "tags": ["pretrained"], "datasets": ["uonlp/CulturaX"], "pipeline_tag": "text-generation"} | sapienzanlp/Minerva-1B-base-v1.0 | null | [
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| Model Card for Minerva-1B-base-v1.0
===================================
Minerva is the first family of truly-open (data and model) Italian-English LLMs pretrained from scratch developed by Sapienza NLP
in collaboration with Future Artificial Intelligence Research (FAIR) and CINECA.
Notably, approximately half of its ... | [
"### Special thanks for their support\n\n\n* Giuseppe Fiameni, Nvidia\n* Sergio Orlandini, CINECA\n\n\nAcknowledgments\n---------------\n\n\nThis work was funded by the PNRR MUR project PE0000013-FAIR.\nWe acknowledge the CINECA award \"IscB\\_medit\" under the ISCRA initiative, for the availability of high perform... | [
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null | null | Note: The model is collected from the network and is only used as a warehouse backup for easy integration, download, and use。
备注：模型收集自网络，仅作为仓库备份，方便整合下载使用。 | {"license": "unknown"} | 24xx/segm | null | [
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备注：模型收集自网络，仅作为仓库备份，方便整合下载使用。 | [] | [
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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": []} | Vikalp026var/gemma-2b-it-pythoncodegen | 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]:
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text2text-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. -->
# coverlettergenerator
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
## ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "coverlettergenerator", "results": []}]} | Ajas2002/cover | null | [
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|
# coverlettergenerator
This model is a fine-tuned version of t5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
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fill-mask | 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_eli5_mlm_model
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | abubakarilyas624/my_awesome_eli5_mlm_model | null | [
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| my\_awesome\_eli5\_mlm\_model
=============================
This model is a fine-tuned version of distilroberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0202
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
"### 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",
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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/sc01m | 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]:
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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. -->
# QAmembertTestJson
This model is a fine-tuned version of [CATIE-AQ/QAmembert](https://huggingface.co/CATIE-AQ/QAmembert) on the g... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["generator"], "base_model": "CATIE-AQ/QAmembert", "model-index": [{"name": "QAmembertTestJson", "results": []}]} | carloswbarros/QAmembertTestJson | null | [
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|
# QAmembertTestJson
This model is a fine-tuned version of CATIE-AQ/QAmembert on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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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"], "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion... | zhoujieli/distilbert-base-uncased-finetuned-emotion | null | [
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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: 0.2145
* Accuracy: 0.9345
* F1: 0.9344
Model description
-----------------
Mo... | [
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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": []} | gvivek2692/flan-t5-small-review-summarizer | null | [
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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 |
# Roleplay-Llama-3-8B
A Llama-3 model finetuned over the https://huggingface.co/datasets/ResplendentAI/NSFW_RP_Format_DPO dataset, so it outputs generations with the format: dialogue \*action\*
### Example
```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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|
# Roleplay-Llama-3-8B
A Llama-3 model finetuned over the URL dataset, so it outputs generations with the format: dialogue \*action\*
### Example
### Evaluations
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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": "Viet-Mistral/Vistral-7B-Chat"} | dzungPaduahsgs/Vistral7Bcleaning_v0_adafactor_model_8bit_batch_8_lr_5e-5 | null | [
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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": []} | wendy41/llama-2-koen-user0-200 | null | [
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text2text-generation | transformers |
Model Card: HuggingFace Text2SQL Model (Fine-tuned BART)
### Overview
- **Model Name**: HuggingFace Text2SQL Model (Fine-tuned BART)
- **Model Version**: 1.0
- **Model Objective**: Text-to-SQL Translation
- **Accuracy on Train Dataset (Text-to-SQL)**: 50.4%
- **Accuracy on Dev Dataset (Text-to-SQL)**: 49.7%
- **SQL A... | {"language": ["en"], "license": "pddl", "library_name": "transformers", "tags": ["sql", "text2sql"], "datasets": ["lamini/spider_text_to_sql"], "metrics": ["accuracy", "bleu", "exact_match"], "pipeline_tag": "text2text-generation"} | Tigran555/text2sql | null | [
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Model Card: HuggingFace Text2SQL Model (Fine-tuned BART)
### Overview
- Model Name: HuggingFace Text2SQL Model (Fine-tuned BART)
- Model Version: 1.0
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- Accuracy on Train Dataset (Text-to-SQL): 50.4%
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-70B-Instruct-2.25bpw-h6-exl2 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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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": []} | ikimhope/whisper-large-v2-commonko-100steps | null | [
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text-classification | sentence-transformers |
# DiTy/cross-encoder-russian-msmarco
This is a [sentence-transformers](https://www.SBERT.net) model based on a pre-trained [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) and finetuned with [MS-MARCO Russian passage ranking dataset](https://huggingface.co/datasets/unicamp-dl/mmarco... | {"language": ["ru"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "text-classification", "transformers", "rubert", "cross-encoder", "msmarco"], "datasets": ["unicamp-dl/mmarco"], "base_model": "DeepPavlov/rubert-base-cased", "widget": [{"text": "\u043a\u0430\u043a \u0447\u0430\u0441\u0442\... | DiTy/cross-encoder-russian-msmarco | null | [
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|
# DiTy/cross-encoder-russian-msmarco
This is a sentence-transformers model based on a pre-trained DeepPavlov/rubert-base-cased and finetuned with MS-MARCO Russian passage ranking dataset.
The model can be used for Information Retrieval in the Russian language: Given a query, encode the query will all possible passage... | [
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null | espnet |
## ESPnet2 ST model
### `espnet/iwslt24_indic_en_bn_bpe_tc4000`
This model was trained by cromz22 using iwslt24_indic recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
if you haven'... | {"language": ["en", "bn"], "license": "cc-by-4.0", "tags": ["espnet", "audio", "speech-translation"], "datasets": ["iwslt24_indic"]} | espnet/iwslt24_indic_en_bn_bpe_tc4000 | null | [
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#espnet #audio #speech-translation #en #bn #dataset-iwslt24_indic #arxiv-1804.00015 #license-cc-by-4.0 #region-us
| ESPnet2 ST model
----------------
### 'espnet/iwslt24\_indic\_en\_bn\_bpe\_tc4000'
This model was trained by cromz22 using iwslt24\_indic recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
RESULTS
=======
Environments
------------
... | [
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null | transformers | # Sorah - Modelo de Texto a Voz basado en ONNX Runtime
Bienvenido al repositorio del modelo de texto a voz Sorah, basado en la arquitectura ONNX Runtime. Este modelo ha sido entrenado utilizando Piper, una plataforma de aprendizaje automático de última generación.
## Acerca de Sorah
Sorah es un... | {"tags": ["sorah", "piper", "piper tts", "onnxrutime"]} | HirCoir/piper-sorah-neuronal | null | [
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#transformers #sorah #piper #piper tts #onnxrutime #endpoints_compatible #region-us
| # Sorah - Modelo de Texto a Voz basado en ONNX Runtime
!Sorah
Bienvenido al repositorio del modelo de texto a voz Sorah, basado en la arquitectura ONNX Runtime. Este modelo ha sido entrenado utilizando Piper, una plataforma de aprendizaje automático de última generación.
## Acerca de Sorah
Sorah es un modelo de tex... | [
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text-generation | transformers |
<img src="https://huggingface.co/gotzmann/Mira-70B-v0.8/resolve/main/mira-v0.8.jpg" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Mira 70B v0.8
The smartest Russian model based on LLaMA 70B v2 architecture. So maybe it's the last Big Russian Model of that family.
Trai... | {"language": ["ru"], "license": "apache-2.0", "tags": ["llama"]} | gotzmann/Mira-70B-v0.8 | null | [
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|
<img src="URL width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Mira 70B v0.8
The smartest Russian model based on LLaMA 70B v2 architecture. So maybe it's the last Big Russian Model of that family.
Trained with TRINITY method for 60 hours of Nvidia H100.
### Prompt Forma... | [
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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": []} | tensorplex-labs/pretraining-sn9-7B-4 | 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-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. -->
# test_train
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "test_train", "results": []}]} | santoshvutukuri/test_train | null | [
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| test\_train
===========
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4707
* Accuracy: 0.33
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | AL-Sayed/PHY-AI | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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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": []} | dzungPaduahsgs/Vistral7Bcleaning_v0_adafactor_model_8bit_batch_8_lr_5e-5_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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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": []} | jeongmi/solar_insta_chai_100 | null | [
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# Model Card for Model ID
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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. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | AAA01101312/xlm-roberta-base-finetuned-panx-it | null | [
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| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2664
* F1: 0.8286
Model description
-----------------
More information needed
Intended uses & l... | [
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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. -->
# MODEL_B
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on... | {"library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["mbpp"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "MODEL_B", "results": []}]} | LLMLover/MODEL_B | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #dataset-mbpp #base_model-NousResearch/Llama-2-7b-hf #region-us
|
# MODEL_B
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the mbpp dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
The following 'bitsandbytes' quan... | [
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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": []} | f77777/wav2vec2-large-xls-r-300m-nep-firdous-colab | 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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# openhermes-advance-function-v1
This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "openhermes-advance-function-v1", "results": []}]} | mohammednuruddin/openhermes-advance-function-v1 | null | [
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|
# openhermes-advance-function-v1
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on an unknown 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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"## Intended uses & limitations\n\nMore information needed",
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | seanfu112/blip_opt2_rewrite | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | [
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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": []} | baconnier/CIB_Banker_WizardLM_2_7B | 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]:
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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": []} | SurtMcGert/advanced-AI-CW-Med-Chat-Bot | 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 |
# mayflowergmbh/SauerkrautLM-7b-LaserChat-4bit
This model was converted to MLX format from [`VAGOsolutions/SauerkrautLM-7b-LaserChat`]().
Refer to the [original model card](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-LaserChat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
``... | {"language": ["en", "de"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetune", "sft", "dpo", "laser", "augmentation", "german", "english", "mlx"], "pipeline_tag": "text-generation"} | mayflowergmbh/SauerkrautLM-7b-LaserChat-4bit | null | [
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|
# mayflowergmbh/SauerkrautLM-7b-LaserChat-4bit
This model was converted to MLX format from ['VAGOsolutions/SauerkrautLM-7b-LaserChat']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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": []} | SolaireOfTheSun/Meta-Llama-3-8B-Instruct-DHBW-Bio-Deutsch-EducationAID-adapters | null | [
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|
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## Model Details
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | SolaireOfTheSun/Meta-Llama-3-8B-Instruct-DHBW-Bio-Deutsch-EducationAID | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
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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": []} | automated-finetunning/bart_full_training | 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. -->
# sawyer-llama-3
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "sawyer-llama-3", "results": []}]} | profoz/sawyer-llama-3 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| sawyer-llama-3
==============
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9709
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
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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 |
# 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": []} | cilantro9246/2eglib3 | null | [
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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]
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# Model Card for Model ID
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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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": []} | CMU-AIR2/math-deepseek_FULL_HardArith_Interm | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="margin-top: 1.0em; margin-bott... | {"license": "other", "tags": ["llama", "llama-3", "facebook", "meta", "astronomer", "gptq", "pretrained", "quantized", "finetuned", "autotrain_compatible", "endpoints_compatible"], "datasets": ["wikitext"], "model_name": "Meta-Llama-3-8B-Instruct", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "inference": false... | astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit | null | [
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This model is generously created and made open source by [Astronomer](URL).
Astronomer is the de facto company for [Llama-3-8B-Instruct-GPTQ-4-Bit
==============================
* Original Model creator: Meta Llama from Meta
* Original model: meta-llama/Meta-Llama-3-8B-Instruct
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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. -->
# lmd-8bars-2048-epochs40_v4
This model is a fine-tuned version of [juancopi81/lmd-8bars-2048-epochs30_v4](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "juancopi81/lmd-8bars-2048-epochs30_v4", "model-index": [{"name": "lmd-8bars-2048-epochs40_v4", "results": []}]} | MikeMpapa/lmd_8bar_final_test | null | [
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| lmd-8bars-2048-epochs40\_v4
===========================
This model is a fine-tuned version of juancopi81/lmd-8bars-2048-epochs30\_v4 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9128
Model description
-----------------
More information needed
Intended uses & limita... | [
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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. -->
# clasificador-rotten-tomatoes
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "clasificador-rotten-tomatoes", "results": []}]} | maviced/clasificador-rotten-tomatoes | null | [
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| clasificador-rotten-tomatoes
============================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8114
* Accuracy: 0.8490
Model description
-----------------
More information needed
Intended uses & limita... | [
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text-to-speech | espnet |
## ESPnet2 TTS model
### `espnet/espnet_tts_vctk_espnet_spk_voxceleb12_rawnet`
This model was trained by ftshijt using vctk recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
if you ... | {"language": "en", "license": "cc-by-4.0", "tags": ["espnet", "audio", "text-to-speech"], "datasets": ["vctk"]} | espnet/espnet_tts_vctk_espnet_spk_voxceleb12_rawnet | null | [
"espnet",
"audio",
"text-to-speech",
"en",
"dataset:vctk",
"arxiv:1804.00015",
"license:cc-by-4.0",
"region:us"
] | null | 2024-04-19T15:59:17+00:00 | [
"1804.00015"
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"en"
] | TAGS
#espnet #audio #text-to-speech #en #dataset-vctk #arxiv-1804.00015 #license-cc-by-4.0 #region-us
|
## ESPnet2 TTS model
### 'espnet/espnet_tts_vctk_espnet_spk_voxceleb12_rawnet'
This model was trained by ftshijt using vctk recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
## TTS config
<details><summary>expand</summary>
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null | transformers |
# Uploaded model
- **Developed by:** azam25
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | azam25/llama-3-8B-Alpaca | null | [
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# Uploaded model
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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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | AAA01101312/xlm-roberta-base-finetuned-panx-en | null | [
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| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1745
* F1: 0.8555
Model description
-----------------
More information needed
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text-generation | transformers |
# Model Card for llama-3-habib
<!-- Provide a quick summary of what the model is/does. -->
This model is derivative version of [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b) on internal datasets.
### Model Description
<!-- Provide a longer summary of what this model is. -->
... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "base_model": "dreamgen/opus-v1.2-llama-3-8b", "pipeline_tag": "text-generation"} | ChavyvAkvar/llama-3-habib | null | [
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|
# Model Card for llama-3-habib
This model is derivative version of dreamgen/opus-v1.2-llama-3-8b on internal datasets.
### 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 |
# 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": []} | tomaszki/stablelm-39 | 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. -->
# gpt1B_reward_test
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "AI-Sweden-Models/gpt-sw3-1.3b", "model-index": [{"name": "gpt1B_reward_test", "results": []}]} | thorirhrafn/gpt1B_reward_test | null | [
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| gpt1B\_reward\_test
===================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on an unknown dataset.
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_2b_Merged
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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_2b_Merged"} | LeroyDyer/Mini_AI_Chat_FT | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | maviced/Practica7-1 | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | maviced/Practica7-2 | 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. -->
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": []} | tomaszki/stablelm-39-a | null | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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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. -->
# amazon_helpfulness_classification_on_TAPT_pretrained_no_condencing
This model is a fine-tuned version of [ltuzova/tapt_helpfulne... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ltuzova/tapt_helpfulness_base_pretraining_no_condencing", "model-index": [{"name": "amazon_helpfulness_classification_on_TAPT_pretrained_no_condencing", "results": []}]} | ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_no_condencing | null | [
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| amazon\_helpfulness\_classification\_on\_TAPT\_pretrained\_no\_condencing
=========================================================================
This model is a fine-tuned version of ltuzova/tapt\_helpfulness\_base\_pretraining\_no\_condencing on an unknown dataset.
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver Model Card
## Model Details
Beaver is a chat assistant trained based on the [Standord Alpaca](https://github.com/tatsu-lab/stanford_alpaca) model ([reproduced version](https://huggingface.co/PKU-Alignment/alpaca-7b-reproduced)) using the [PKU-Alignment/safe-rlhf](https://github.com/PKU-Alignment/safe-rlh... | {"language": ["en"], "library_name": "safe-rlhf", "tags": ["reinforcement-learning-from-human-feedback", "reinforcement-learning", "rlhf", "safety", "ai-safety", "deepspeed", "beaver", "llama", "alpaca"], "datasets": ["PKU-Alignment/PKU-SafeRLHF"]} | PKU-Alignment/beaver-7b-v2.0 | null | [
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|
# Beaver Model Card
## Model Details
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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="DaniElAbrazos/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"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": ... | DaniElAbrazos/q-FrozenLake-v1-4x4-noSlippery | null | [
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# 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 |
# 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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reinforcement-learning | safe-rlhf |
# 🦫 Beaver's Reward Model
## Model Details
The Beaver reward model is a preference model trained using the [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) dataset.
It can play a role in the safe RLHF algorithm, helping the Beaver model become more helpful.
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver's Cost Model
## Model Details
The Beaver cost model is a preference model trained using the [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) dataset.
It can play a role in the safe RLHF algorithm, helping the Beaver model become more safe and harmless.
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|
# Beaver's Cost Model
## Model Details
The Beaver cost model is a preference model trained using the PKU-SafeRLHF dataset.
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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": []} | wendy41/llama-2-koen-user111-200 | null | [
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver Model Card
## Model Details
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver's Reward Model
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver's Cost Model
## Model Details
The Beaver cost model is a preference model trained using the [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) dataset.
It can play a role in the safe RLHF algorithm, helping the Beaver model become more safe and harmless.
- **Developed by:** the [... | {"language": ["en"], "library_name": "safe-rlhf", "tags": ["reinforcement-learning-from-human-feedback", "reinforcement-learning", "beaver", "safety", "llama", "ai-safety", "deepspeed", "rlhf", "alpaca"], "datasets": ["PKU-Alignment/PKU-SafeRLHF"]} | PKU-Alignment/beaver-7b-v3.0-cost | null | [
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# Beaver's Cost Model
## Model Details
The Beaver cost model is a preference model trained using the PKU-SafeRLHF dataset.
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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. -->
# robust_llm_pythia-1b_ian-022_IMDB_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/E... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_ian-022_IMDB_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_ian-022_IMDB_n-its-10 | null | [
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"region:us"
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|
# robust_llm_pythia-1b_ian-022_IMDB_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown 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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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. -->
# nerel-bio-RuBioRoBERTa-base
This model is a fine-tuned version of [alexyalunin/RuBioRoBERTa](https://huggingface.co/alexyalunin/... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "alexyalunin/RuBioRoBERTa", "model-index": [{"name": "nerel-bio-RuBioRoBERTa-base", "results": []}]} | ekaterinatao/nerel-bio-RuBioRoBERTa-base | null | [
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| nerel-bio-RuBioRoBERTa-base
===========================
This model is a fine-tuned version of alexyalunin/RuBioRoBERTa on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5262
* Precision: 0.8251
* Recall: 0.8335
* F1: 0.8293
* Accuracy: 0.8827
Model description
-------------... | [
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null | null | MLC compiled model library with Vulkan for Windows | {"license": "apache-2.0"} | TheHpx/Llama-2-7b-chat-hf-q4f16_1-MLC-vulkan | 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. -->
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/dumbo-krillin104 | 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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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('AdoHakurei/sd-class-butterf... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | AdoHakurei/sd-class-butterflies-32 | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
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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": []} | Abinayasankar/Phi2-DPOFinetuned | 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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- License... | [
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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="DaniElAbrazos/Taxiv3", 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": "Taxiv3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2... | DaniElAbrazos/Taxiv3 | null | [
"Taxi-v3",
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#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 |
# 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": []} | artixjain/zephyr_finetuned_10epochs | 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]:
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- Language(s) (NLP):
- License... | [
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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": []}]} | slavrine/bert-finetuned-ner | null | [
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"generated_from_trainer",
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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#transformers #tensorboard #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: 0.0613
* Precision: 0.9296
* Recall: 0.9485
* F1: 0.9389
* Accuracy: 0.9860
Model description
-----------------
More information nee... | [
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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. -->
# robust_llm_pythia-160m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_ian-022_IMDB_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_ian-022_IMDB_n-its-25 | null | [
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|
# robust_llm_pythia-160m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown 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 | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"language": ["en"], "license": "mit", "library_name": "peft", "tags": ["art"], "pipeline_tag": "text-generation"} | Prasanna18/Nagpur | 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. -->
# Phi2Model_math
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None datas... | {"license": "mit", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "Phi2Model_math", "results": []}]} | Abinayasankar/Phi2Model_math | null | [
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|
# Phi2Model_math
This model is a fine-tuned version of microsoft/phi-2 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
The foll... | [
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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. -->
# Roberta-GPT2_EmpAI_test
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gp... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "Roberta-GPT2_EmpAI_test", "results": []}]} | LuangMV97/Roberta-GPT2_EmpAI_test | null | [
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| Roberta-GPT2\_EmpAI\_test
=========================
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2970
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver's Reward Model
## Model Details
The Beaver reward model is a preference model trained using the [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) dataset.
It can play a role in the safe RLHF algorithm, helping the Beaver model become more helpful.
- **Developed by:** the [PKU-Al... | {"language": ["en"], "library_name": "safe-rlhf", "tags": ["reinforcement-learning-from-human-feedback", "reinforcement-learning", "beaver", "safety", "llama", "ai-safety", "deepspeed", "rlhf", "alpaca"], "datasets": ["PKU-Alignment/PKU-SafeRLHF"]} | PKU-Alignment/beaver-7b-unified-reward | null | [
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|
# Beaver's Reward Model
## Model Details
The Beaver reward model is a preference model trained using the PKU-SafeRLHF dataset.
It can play a role in the safe RLHF algorithm, helping the Beaver model become more helpful.
- Developed by: the PKU-Alignment Team.
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reinforcement-learning | safe-rlhf |
# 🦫 Beaver's Cost Model
## Model Details
The Beaver cost model is a preference model trained using the [PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) dataset.
It can play a role in the safe RLHF algorithm, helping the Beaver model become more safe and harmless.
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|
# Beaver's Cost Model
## Model Details
The Beaver cost model is a preference model trained using the PKU-SafeRLHF dataset.
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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": []} | Alexx34/subnet9key16 | null | [
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text-generation | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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null | null | MLC compiled model library with Vulkan for Windows | {"license": "apache-2.0"} | TheHpx/Mistral-7B-Instruct-v0.2-q4f16_1-vulkan | null | [
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text-generation | transformers |
# Model Card: Llama-3-8B-Instruct-corrected
This is an upload of Meta's Llama 3 8B instruct with a corrected generation_config.json introduced in [this commit](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/commit/1448453bdb895762499deb4176c1dd83b145fac1). The EOS on inference now includes `<|eot_id|>`
#... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | royallab/Llama-3-8B-Instruct-corrected | null | [
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# Model Card: Llama-3-8B-Instruct-corrected
This is an upload of Meta's Llama 3 8B instruct with a corrected generation_config.json introduced in this commit. The EOS on inference now includes '<|eot_id|>'
## Other Information
The 'original' folder was removed from this upload
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text-generation | transformers |
**Model Name**: Granite-7b-base
**License**: Apache-2.0
**Languages**: Primarily English
**Architecture**: The model architecture is a replica of Meta’s Llama2-7B base variant with MHA, trained with 1M batch size on 2T tokens.
**Context Length**: 4k tokens
**Tokenizer**: Llama2
**Model Developers**: IBM Research... | {"license": "apache-2.0"} | ibm/granite-7b-base | null | [
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| Model Name: Granite-7b-base
License: Apache-2.0
Languages: Primarily English
Architecture: The model architecture is a replica of Meta’s Llama2-7B base variant with MHA, trained with 1M batch size on 2T tokens.
Context Length: 4k tokens
Tokenizer: Llama2
Model Developers: IBM Research
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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": []} | herowu/gemma-Code-Instruct-Finetune-herowu0.2 | null | [
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"region:us"
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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]:
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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": []} | finetuningsubnet/l3instruct | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["unsloth", "axolotl"], "base_model": "dreamgen/opus-v1.2-llama-3-8b", "quantized_by": "mradermacher"} | mradermacher/opus-v1.2-llama-3-8b-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 |
# 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/dumbo-krillin105 | null | [
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"safetensors",
"llama",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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#transformers #safetensors #llama #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]:
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- License... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Prahas10/roof-test
This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.co/google/vit-base-patch32-... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch32-384", "model-index": [{"name": "Prahas10/roof-test", "results": []}]} | Prahas10/roof-test | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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| Prahas10/roof-test
==================
This model is a fine-tuned version of google/vit-base-patch32-384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0637
* Validation Loss: 0.1264
* Train Accuracy: 0.9474
* Epoch: 28
Model description
-----------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 4e-05, 'decay\\_steps': 3990, 'end\\_learni... | [
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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... | {"license": "bigscience-openrail-m", "library_name": "transformers"} | saurav1199/adisesha-phi1.5-7-3-20000 | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text2text-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. -->
# UrduSum9
This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-Ar... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "UrduSum9", "results": []}]} | Alefiah/UrduSum9 | null | [
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"pytorch",
"tensorboard",
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| UrduSum9
========
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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