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question-answering | 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. -->
# outputs
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on t... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "question-answering", "model-index": [{"name": "outputs", "results": []}]} | Ikeofai/learn-python-easy | null | [
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"safetensors",
"mistral",
"trl",
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"generated_from_trainer",
"question-answering",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"4-bit",
"region:us"
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#peft #tensorboard #safetensors #mistral #trl #sft #generated_from_trainer #question-answering #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #4-bit #region-us
|
# outputs
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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"## Training and evaluation data\n\nMore information needed",
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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_id
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) o... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_id", "results": []}]} | Krisbiantoro/mistral_id | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| mistral\_id
===========
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8160
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | unrented5443/bzu8bc4 | 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]:
- Model type:
- Language(s) (NLP):
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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. -->
# simplrops_rules_model2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "simplrops_rules_model2", "results": []}]} | lokaspire/simplrops_rules_model2 | null | [
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"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# simplrops_rules_model2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | geoartop/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T09:18:32+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
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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... | IMENMANSOUR/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T09:20:08+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
| [
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] |
null | null |
# SambaLingo-Turkish-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Turkish-Chat is a human aligned chat model trained in Turkish and English. It is trained using direct preferen... | {"language": ["tr", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"]} | Jobaar/SambaLingo-Turkish-Chat-GGUF | null | [
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"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"dataset:HuggingFaceH4/cai-conversation-harmless",
"license:llama2",
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|
# SambaLingo-Turkish-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Turkish-Chat is a human aligned chat model trained in Turkish and English. It is trained using direct preference optimization on top the base model SambaLingo-Turkish-Ba... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Tippawan/SNOMED-CT-NER-V.1 | null | [
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"camembert",
"token-classification",
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|
# Model Card for Model ID
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### 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": []} | unrented5443/p5byv51 | null | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Steelskull/Aethora-7b-v1
<!-- 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"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "datasets": ["Steelskull/Aether"], "base_model": "Steelskull/Aethora-7b-v1", "quantized_by": "mradermacher"} | mradermacher/Aethora-7b-v1-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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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-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-ner", "results": []}]} | Fatimetou/distilbert-base-uncased-finetuned-ner | null | [
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| distilbert-base-uncased-finetuned-ner
=====================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0591
* Precision: 0.9266
* Recall: 0.9391
* F1: 0.9328
* Accuracy: 0.9840
Model descri... | [
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text-generation | transformers |
# Mistral-7B-v0.1-ties
Mistral-7B-v0.1-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
## 🧩 Configuration
\```yaml
models:
- model: mistralai/Mistral-7B-v0.1
# no... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | Natch69/Mistral-7B-v0.1-ties | null | [
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|
# Mistral-7B-v0.1-ties
Mistral-7B-v0.1-ties is a merge of the following models using mergekit:
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
\ | [
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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?"}]}]} | rekk/autotrain-merge-cadwork | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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zero-shot-classification | transformers |
# Model description: bge-m3-zeroshot-v2.0
## zeroshot-v2.0 series of models
Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline.
These models can do classification without training data and run on both GPUs and CPUs.
An overview of the latest zeroshot classifiers... | {"language": ["multilingual"], "license": "mit", "library_name": "transformers", "tags": ["text-classification", "zero-shot-classification"], "base_model": "BAAI/bge-m3-retromae", "pipeline_tag": "zero-shot-classification"} | MoritzLaurer/bge-m3-zeroshot-v2.0 | null | [
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| Model description: bge-m3-zeroshot-v2.0
=======================================
zeroshot-v2.0 series of models
------------------------------
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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": []} | unrented5443/vn9heca | 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 | # Neuronx for [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) - Updated Mistral 7B Model on [AWS Inferentia2](https://aws.amazon.com/ec2/instance-types/inf2/) Using AWS Neuron SDK version 2.18~
This model has been exported to the `neuron` format using specific `input_sha... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "inferentia2", "neuron", "neuronx"], "pipeline_tag": "text-generation", "inference": false} | davidshtian/Mistral-7B-Instruct-v0.2-neuron-1x2048-2-cores-2.18 | null | [
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| # Neuronx for mistralai/Mistral-7B-Instruct-v0.2 - Updated Mistral 7B Model on AWS Inferentia2 Using AWS Neuron SDK version 2.18~
This model has been exported to the 'neuron' format using specific 'input_shapes' and 'compiler' parameters detailed in the paragraphs below.
Please refer to the 'optimum-neuron' document... | [
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text-generation | transformers |
This is a [TowerInstruct-7B](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.2) model fine-tuned for translating instructions datasets from English into Spanish. This model has GPT4 translation quality, but you can run it on your own machine for free 🎉
The model has been finetuned using ~1.500 prompts and answers... | {"language": ["en", "es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["translation"], "datasets": ["Iker/InstructTranslation-EN-ES"], "base_model": "Unbabel/TowerInstruct-7B-v0.2", "pipeline_tag": "text-generation"} | Iker/TowerInstruct-7B-v0.2-EN2ES | null | [
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|
This is a TowerInstruct-7B model fine-tuned for translating instructions datasets from English into Spanish. This model has GPT4 translation quality, but you can run it on your own machine for free
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text-generation | transformers |

# Gemma Ko 2B Instruct v0.51
- Eval Loss: `1.33753`
- Train Loss: `1.26453`
- lr: `1.5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 2B... | {"language": ["ko", "en"], "license": "other", "library_name": "transformers", "tags": ["korean", "gemma", "pytorch"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "pipeline_tag": "text-generation", "base_model": "beomi/gemma-ko-2b"} | lemon-mint/gemma-ko-2b-instruct-v0.51 | null | [
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|
!image/jpeg
# Gemma Ko 2B Instruct v0.51
- Eval Loss: '1.33753'
- Train Loss: '1.26453'
- lr: '1.5e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 2B Instruct v0.51 model is designed for generating human-like text in the Korean language.
It can be used for a... | [
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text2text-generation | transformers |
# Sinhala Headline Generation
This is a text generation task created with the [NSINA dataset](https://github.com/Sinhala-NLP/NSINA). This dataset is also released with the same license as NSINA. The objective of the task is to generate news headlines based on the provided news content.
## Data
We used the same insta... | {"language": ["si"], "license": "cc-by-sa-4.0", "datasets": ["sinhala-nlp/NSINA-Headlines", "sinhala-nlp/NSINA"]} | sinhala-nlp/NSINA-Headlines-mt5-base | null | [
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|
# Sinhala Headline Generation
This is a text generation task created with the NSINA dataset. This dataset is also released with the same license as NSINA. The objective of the task is to generate news headlines based on the provided news content.
## Data
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Animal_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Animal_model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imag... | RGurung/Animal_model | null | [
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| Animal\_model
=============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6726
* Accuracy: 0.8333
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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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": []} | Jass07/test | null | [
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# Model Card for Model ID
## 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="shanghong/q-FrozenLake-custommap", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attribute... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-custommap", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": "FrozenL... | shanghong/q-FrozenLake-custommap | 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. -->
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": []} | Sahil998/codegen-350M-mono-python-18k-alpaca | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
This is a [TowerInstruct-13B](https://huggingface.co/Unbabel/TowerInstruct-13B-v0.1) model fine-tuned for translating instructions datasets from English into Spanish. This model has GPT4 translation quality, but you can run it on your own machine for free 🎉
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|
This is a TowerInstruct-13B model fine-tuned for translating instructions datasets from English into Spanish. This model has GPT4 translation quality, but you can run it on your own machine for free
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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": []} | unrented5443/thzqwp8 | null | [
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|
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- 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": []} | Tung177/qlora-vistral7b-chat | 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-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": []} | unrented5443/1mugi4o | null | [
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|
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# q2
This model is a fine-tuned version of [samhitmantrala/q1](https://huggingface.co/samhitmantrala/q1) on an unknown dataset.
It... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "samhitmantrala/q1", "model-index": [{"name": "q2", "results": []}]} | samhitmantrala/q2 | null | [
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| q2
==
This model is a fine-tuned version of samhitmantrala/q1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0001
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training ... | [
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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. -->
# phobert-base-v2-finetuned
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-bas... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "phobert-base-v2-finetuned", "results": []}]} | gechim/phobert-base-v2-finetuned | null | [
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| phobert-base-v2-finetuned
=========================
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2000
* Accuracy: 0.9593
* F1: 0.9594
Model description
-----------------
More information needed
Intended us... | [
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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-tweet-sentiment-14m-mz-test-3classes
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-tweet-sentiment-14m-mz-test-3classes", "results": []}]} | AlignmentResearch/robust_llm_pythia-tweet-sentiment-14m-mz-test-3classes | null | [
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"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T09:49:36+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tweet-sentiment-14m-mz-test-3classes
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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. -->
# feel_it_finetuned_pro_emit_multilabel2
This model is a fine-tuned version of [MilaNLProc/feel-it-italian-emotion](https://huggin... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "MilaNLProc/feel-it-italian-emotion", "model-index": [{"name": "feel_it_finetuned_pro_emit_multilabel2", "results": []}]} | lupobricco/feel_it_finetuned_pro_emit_multilabel2 | null | [
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"region:us"
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#transformers #tensorboard #safetensors #camembert #text-classification #generated_from_trainer #base_model-MilaNLProc/feel-it-italian-emotion #autotrain_compatible #endpoints_compatible #region-us
| feel\_it\_finetuned\_pro\_emit\_multilabel2
===========================================
This model is a fine-tuned version of MilaNLProc/feel-it-italian-emotion on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2731
* F1: 0.4953
* Roc Auc: 0.6999
* Accuracy: 0.3239
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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": []} | unrented5443/ytlneuj | null | [
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"text-generation-inference",
"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]:
- Model type:
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null | transformers |
# Uploaded model
- **Developed by:** smsaurabhv
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-0106
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/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "openchat/openchat-3.5-0106"} | smsaurabhv/openchat | null | [
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|
# Uploaded model
- Developed by: smsaurabhv
- License: apache-2.0
- Finetuned from model : openchat/openchat-3.5-0106
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | kas22/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
, is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
... | [
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text-generation | transformers |
# Information
Attempt at extending context window for an older Mistral-v0.1 model.
It seems to work fine at 16K.
[ChatML and Alpaca work.](https://huggingface.co/Virt-io/SillyTavern-Presets)
# Irene-RP-v4-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit)... | {"library_name": "transformers", "tags": ["mergekit", "merge", "roleplay", "mistral"]} | Virt-io/Irene-RP-v4-7B | null | [
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|
# Information
Attempt at extending context window for an older Mistral-v0.1 model.
It seems to work fine at 16K.
ChatML and Alpaca work.
# Irene-RP-v4-7B
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.
... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/MarsupialAI/Yeet_51b_200k
**No more quants forthcoming, as llama.cpp crashes.**
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Yeet_51b_200k-GGUF
## Usage
If y... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "MarsupialAI/Yeet_51b_200k", "license_name": "yi-other", "no_imatrix": "IQ3_XXS GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/Yeet_51b_200k-i1-GGUF | null | [
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#transformers #gguf #en #base_model-MarsupialAI/Yeet_51b_200k #license-other #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
No more quants forthcoming, as URL crashes.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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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": []} | unrented5443/92xjokk | null | [
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"text-generation",
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"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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": "NousResearch/Llama-2-7b-chat-hf"} | data-aces/Llama2-7B-FT | null | [
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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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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AstraLLMs/AstraLM-16B-MoE
<!-- 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 the... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "NousResearch/Llama-2-7b-chat-hf", "mistralai/Mistral-7B-Instruct-v0.2", "codellama/CodeLlama-7b-Instruct-hf"], "base_model": "AstraLLMs/AstraLM-16B-MoE", "quantized_by": "m... | mradermacher/AstraLM-16B-MoE-GGUF | null | [
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"... | null | 2024-04-02T10:02:21+00:00 | [] | [
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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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video-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. -->
# videomae-large_14class_UCFCrime
This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/vi... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "MCG-NJU/videomae-large", "model-index": [{"name": "videomae-large_14class_UCFCrime", "results": []}]} | Chaitanya798800/videomae-large_14class_UCFCrime | null | [
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"license:cc-by-nc-4.0",
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|
# videomae-large_14class_UCFCrime
This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.1336
- eval_confusion_matrix: {'confusion_matrix': array([[ 5, 6, 0, 11, 5, 1, 17, 1, 0, 0, 0, 6, 0,
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text-generation | null | # jondurbin/bagel-34b-v0.5 Exl2
- Model creator: [jondurbin](https://huggingface.co/jondurbin)
- Original model: [bagel-34b-v0.5](https://huggingface.co/jondurbin/bagel-34b-v0.5)

## Model Summary
This is a fine-tune of the updated yi-34b-200k with better long-context support.
See [bagel](https:... | {"license": "other", "tags": ["quantized", "chatml"], "datasets": ["allenai/ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistr... | Suparious/bagel-34b-v0.5-exl2 | null | [
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"dataset:codeparrot/apps",
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"dataset:bluemoon-fandom-1-1-rp-clea... | null | 2024-04-02T10:03:27+00:00 | [] | [] | TAGS
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=============================
* Model creator: jondurbin
* Original model: bagel-34b-v0.5
!bagel
Model Summary
-------------
This is a fine-tune of the updated yi-34b-200k with better long-context support.
See bagel for additional details on the datasets.
The DPO version is ava... | [] | [
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null | null |
# Test
| {"license": "bsd-3-clause"} | vrkansagara/test | null | [
"license:bsd-3-clause",
"region:us"
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#license-bsd-3-clause #region-us
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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": []} | unrented5443/cxd81rh | 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": []} | sravaniayyagari/feb28-apr-new-tuned-model | null | [
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null | null |
# Layout Parser Model for [Pix2Text (P2T)](https://github.com/breezedeus/Pix2Text)
Currently, this model is forked from https://github.com/AlibabaResearch/AdvancedLiterateMachinery (much thanks to the authors), and will be evolving afterward.
## Documents for Pix2Text
- [Pix2Text V1.0 New Release: The Best Open-Sou... | {"license": "apache-2.0"} | breezedeus/pix2text-layout | null | [
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#license-apache-2.0 #region-us
|
# Layout Parser Model for Pix2Text (P2T)
Currently, this model is forked from URL (much thanks to the authors), and will be evolving afterward.
## Documents for Pix2Text
- Pix2Text V1.0 New Release: The Best Open-Source Formula Recognition Model | URL ;
- Pix2Text (P2T) Github: breezedeus/pix2text ;
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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": []} | unrented5443/93lhch3 | null | [
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|
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text-generation | transformers |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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text-generation | transformers |
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cvt-21-384-22k-finetuned-LeafBack-v1
This model is a fine-tuned version of [microsoft/cvt-21-384-22k](https://huggingface.co/mic... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/cvt-21-384-22k", "model-index": [{"name": "cvt-21-384-22k-finetuned-LeafBack-v1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset":... | b07611031/cvt-21-384-22k-finetuned-LeafBack-v1 | null | [
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|
# cvt-21-384-22k-finetuned-LeafBack-v1
This model is a fine-tuned version of microsoft/cvt-21-384-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0026
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information n... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | KishorMLE123/finetuning-sentiment-model-3000-samples | null | [
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# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3520
- Accuracy: 0.8833
- F1: 0.8822
## Model description
More information needed
## Intended uses & limitations
More ... | [
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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 |
# 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": []} | hibikaze/gpt_0.084B_wiki-en-ja-2b_65k_step7751 | null | [
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text-generation | null |
## Llamacpp Quantizations of Tess-2.0-Mixtral
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2536">b2536</a> for quantization.
Original model: https://huggingface.co/migtissera/Tess-2.0-Mixtral
Download a file (not the whol... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Tess-2.0-Mixtral-GGUF | null | [
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| Llamacpp Quantizations of Tess-2.0-Mixtral
------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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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": []} | aniket49/Aniket-gpt | 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 |
# 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": []} | hibikaze/gpt_0.084B_wiki-en-ja-2b_65k_cl_step11200 | null | [
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null | null | Name: 4xRealWebPhoto_v3_atd
License: CC BY 4.0
Author: Philip Hofmann
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Purpose: 4x upscaler for photos downloaded from the web
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epoch: 10
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HR_size: 128, 192 ... | {"license": "other", "license_name": "cc-by-4.0", "license_link": "https://creativecommons.org/licenses/by/4.0/"} | Phips/4xRealWebPhoto_v3_atd | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers | # Hercules-4.0-Yi-34B

## Model Description
Hercules-4.0-Yi-34B is a fine-tuned language model derived from Yi-34B language model. It is specifically designed to excel in instruction following, function calls, and conversational inter... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["medical", "science", "biology", "chemistry", "not-for-all-audiences"], "datasets": ["Locutusque/hercules-v4.0"]} | Locutusque/Hercules-4.0-Yi-34B | null | [
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| # Hercules-4.0-Yi-34B
!image
## Model Description
Hercules-4.0-Yi-34B is a fine-tuned language model derived from Yi-34B language model. It is specifically designed to excel in instruction following, function calls, and conversational interactions across various scientific and technical domains. The dataset used for ... | [
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null | transformers |
# Configuration
`title`: _string_
Display title for the Space
`emoji`: _string_
Space emoji (emoji-only character allowed)
`colorFrom`: _string_
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
`colorTo`: _string_
Color for Thumbnail gradient (red, yellow, green, blue, in... | {"title": "VietTTS", "emoji": "\ud83d\ude80", "colorFrom": "purple", "colorTo": "gray", "sdk": "gradio", "app_file": "app.py", "pinned": false} | meandyou200175/tts_demo | null | [
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T10:39:59+00:00 | [] | [] | TAGS
#transformers #endpoints_compatible #region-us
|
# Configuration
'title': _string_
Display title for the Space
'emoji': _string_
Space emoji (emoji-only character allowed)
'colorFrom': _string_
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
'colorTo': _string_
Color for Thumbnail gradient (red, yellow, green, blue, in... | [
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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": []} | hibikaze/gpt_0.084B_wiki-en-ja-2b_65k_ja-2epoch_step11626 | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T10:40:42+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #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.
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- Shared by [optional]:
- Model type:
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- License... | [
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null | null | Name: 4xRealWebPhoto_v2_rgt_s
License: CC BY 4.0
Author: Philip Hofmann
Network: [RGT](https://github.com/zhengchen1999/RGT)
Scale: 4
Release Date: 10.03.2024
Purpose: 4x real web photo upscaler, meant for upscaling photos downloaded from the web
Iterations: 220'000
epoch: 5
batch_size: 16
HR_size:... | {"license": "other", "license_name": "cc-by-4.0", "license_link": "https://creativecommons.org/licenses/by/4.0/"} | Phips/4xRealWebPhoto_v2_rgt_s | null | [
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"license:other",
"region:us"
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#onnx #license-other #region-us
| Name: 4xRealWebPhoto_v2_rgt_s
License: CC BY 4.0
Author: Philip Hofmann
Network: RGT
Scale: 4
Release Date: 10.03.2024
Purpose: 4x real web photo upscaler, meant for upscaling photos downloaded from the web
Iterations: 220'000
epoch: 5
batch_size: 16
HR_size: 128
Dataset: 4xRealWebPhoto_v2 (see d... | [] | [
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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... | MartinoMensio/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T10:43:44+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
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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": []} | hibikaze/gpt_0.084B_wiki-en-ja-2b_65k_no-shuffle_step7751 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T10:44:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | null |
# LoRA model of Pannibal Nox Katena/パニバル・ノク・カテナ (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
## What Is This?
This is the LoRA model of waifu Pannibal Nox Katena/パニバル・ノク・カテナ (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](https://gith... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/pannibal_sukasuka", "BangumiBase/sukasuka"], "pipeline_tag": "text-to-image"} | CyberHarem/pannibal_sukasuka | null | [
"art",
"not-for-all-audiences",
"text-to-image",
"dataset:CyberHarem/pannibal_sukasuka",
"dataset:BangumiBase/sukasuka",
"license:mit",
"region:us"
] | null | 2024-04-02T10:45:01+00:00 | [] | [] | TAGS
#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/pannibal_sukasuka #dataset-BangumiBase/sukasuka #license-mit #region-us
| LoRA model of Pannibal Nox Katena/パニバル・ノク・カテナ (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
===============================================================================================
What Is This?
-------------
This is the LoRA model of waifu Pannibal Nox Katena/パニバル・ノク・カテナ (Shuumatsu Nani Shitemasu Ka? 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": []} | unrented5443/2iyghq0 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T10:45:04+00:00 | [
"1910.09700"
] | [] | TAGS
#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]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | shidowake/240402-Swal-MS-7b-CVec-co0.5-mist-inst-v0.1-co0.5-Hermes-2-Pro | null | [
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"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T10:45:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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
import gymnasium as gym
import pickle5 as pickle
from huggingface_sb3 import load_from_hub
from hf_course_code import evaluate_agent # Code from the course https://huggingfac... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "drl-course-unit-02-taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", ... | jostyposty/drl-course-unit-02-taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T10:46:32+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 |
<p align="center" style="font-size:34px;"><b>Buddhi-128K-Chat</b></p>
# Buddhi-128K-Chat (7B) vLLM Inference: [](https://colab.research.google.com/drive/11_8W8FpKK-856QdRVJLyzbu9g-DMxNfg?usp=sharing)
# Read release article: [🔗 Introducing Bud... | {"license": "apache-2.0", "pipeline_tag": "text-generation"} | aiplanet/buddhi-128k-chat-7b | null | [
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"text-generation",
"conversational",
"custom_code",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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| **Buddhi-128K-Chat**
Buddhi-128K-Chat (7B) vLLM Inference:  (NLP):
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | mjm4dl/slot_filling_on_data_27_march_rank8 | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
, is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/NeuralSirKrishna-7b-DPO
<!-- 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 f... | {"language": ["en"], "library_name": "transformers", "base_model": "Kukedlc/NeuralSirKrishna-7b-DPO", "quantized_by": "mradermacher"} | mradermacher/NeuralSirKrishna-7b-DPO-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-Kukedlc/NeuralSirKrishna-7b-DPO #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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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": []} | unrented5443/z6t1adx | 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]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_27ba8122f0df11ee9252ca9d1d9e8d9b_from_EleutherAI_pythia-14m
This model is a fine-tuned version of [EleutherAI/pythia-... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_27ba8122f0df11ee9252ca9d1d9e8d9b_from_EleutherAI_pythia-14m", "results": []}]} | AlignmentResearch/robust_llm_27ba8122f0df11ee9252ca9d1d9e8d9b_from_EleutherAI_pythia-14m | null | [
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|
# robust_llm_27ba8122f0df11ee9252ca9d1d9e8d9b_from_EleutherAI_pythia-14m
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information neede... | [
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text-generation | transformers | # [MaziyarPanahi/TowerInstruct-7B-v0.2-EN2ES-GGUF](https://huggingface.co/MaziyarPanahi/TowerInstruct-7B-v0.2-EN2ES-GGUF)
- Model creator: [Iker](https://huggingface.co/Iker)
- Original model: [Iker/TowerInstruct-7B-v0.2-EN2ES](https://huggingface.co/Iker/TowerInstruct-7B-v0.2-EN2ES)
## Description
[MaziyarPanahi/Towe... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "llama", "text-generation", "translation", "conversational", "en", "es", "dataset:Iker/InstructTranslation-EN-ES", "base_model:Unbabel/TowerInstruct-7B-v0.2", "license:apache-2.0", "autotrain_compatible",... | MaziyarPanahi/TowerInstruct-7B-v0.2-EN2ES-GGUF | null | [
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- Model creator: Iker
- Original model: Iker/TowerInstruct-7B-v0.2-EN2ES
## Description
MaziyarPanahi/TowerInstruct-7B-v0.2-EN2ES-GGUF contains GGUF format model files for Iker/TowerInstruct-7B-v0.2-EN2ES.
## How to use
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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. -->
# laptap_mistral_0
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "laptap_mistral_0", "results": []}]} | ShahlaDnshi96/laptap_mistral_0 | null | [
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|
# laptap_mistral_0
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | amanhirohisa/bert-base-japanese-v3-jsts | 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": []} | unrented5443/wrfyl4m | null | [
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text-generation | transformers |
## Matter 7B - 0.2 (Mistral 7B 0.2 Finetune)
Matter 7B 0.2 is full-finetune on the **Matter 0.2 dataset** (not yet released), which is curated from over 35 datsets analyzing >6B tokens
### Recommended Usage for best results
System Prompt - `You are a helpful assistant`
### Training
Prompt format: This model uses C... | {"language": ["en"], "license": "apache-2.0", "datasets": ["0-hero/Matter-0.2"]} | 0-hero/Matter-0.2-7B | null | [
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|
## Matter 7B - 0.2 (Mistral 7B 0.2 Finetune)
Matter 7B 0.2 is full-finetune on the Matter 0.2 dataset (not yet released), which is curated from over 35 datsets analyzing >6B tokens
### Recommended Usage for best results
System Prompt - 'You are a helpful assistant'
### Training
Prompt format: This model uses ChatM... | [
"## Matter 7B - 0.2 (Mistral 7B 0.2 Finetune)\n\nMatter 7B 0.2 is full-finetune on the Matter 0.2 dataset (not yet released), which is curated from over 35 datsets analyzing >6B tokens",
"### Recommended Usage for best results\nSystem Prompt - 'You are a helpful assistant'",
"### Training\n\nPrompt format: This... | [
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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": []} | unrented5443/9ovs2tp | 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": []} | haturusinghe/sinhala-mistral-tokenizer-v0.2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** SirDamisola
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.1-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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.1-bnb-4bit"} | SirDamisola/iw_lora_model | null | [
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# Uploaded model
- Developed by: SirDamisola
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | unrented5443/co6q59g | 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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sentence-similarity | sentence-transformers |
# all-roberta-large-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transform... | {"language": "en", "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mdizak/all-roberta-large-v1-rust | null | [
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| all-roberta-large-v1
====================
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Usage (Sentence-Transformers)
-----------------------------
Using this model becomes easy when you ... | [
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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": []} | SimeonVSG/lv-gpt2-xl | 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 | 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
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#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
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- llm_int8_skip_modules: None
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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. -->
# my_awesome_wnut_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_wnut_model", "results": []}]} | NastyaKorneeva/my_awesome_wnut_model | null | [
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| my\_awesome\_wnut\_model
========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2652
* Precision: 0.5528
* Recall: 0.3151
* F1: 0.4014
* Accuracy: 0.9417
Model description
---------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | mjm4dl/slot_filling_on_data_27_march_rank8_e | 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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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": []} | unrented5443/nnml5yf | null | [
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text-generation | transformers |
<a href="https://github.com/nlpai-lab/KULLM">
<img src="kullm_logo.png" width="50%"/>
</a>
# KULLM3
Introducing KULLM3, a model with advanced instruction-following and fluent chat abilities.
It has shown remarkable performance in instruction-following, speficially by closely following gpt-3.5-turbo.
To our knowle... | {"language": ["en", "ko"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["upstage/SOLAR-10.7B-v1.0"]} | nlpai-lab/KULLM3 | null | [
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|
<a href="URL
<img src="kullm_logo.png" width="50%"/>
</a>
# KULLM3
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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": []} | unrented5443/ls4uv0f | 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]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | houssemmoslah/mistral_sql_gen | null | [
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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": []} | Reihaneh/wav2vec2_frisian_common_voice_13 | null | [
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|
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/s_001 | 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-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": []} | unrented5443/x1u3w4e | null | [
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