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text-generation | transformers | 
qlora (regular lora was broken for whatever reason) of tweets by @dril on llama 3 8b instruct. intended for use with the chat format, as a chat model
trained without eot tokens
you are encouraged to... | {} | wave-on-discord/llama-3-8b-instruct-dril | null | [
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| !image/png
qlora (regular lora was broken for whatever reason) of tweets by @dril on llama 3 8b instruct. intended for use with the chat format, as a chat model
trained without eot tokens
you are encouraged to change the lora_alpha value in 'adapter_config.json' to modify the strength!!!!! | [] | [
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text-generation | transformers | # Llama-3-13B-Instruct-attenuated
The core idea came from @jukofyork, see this [issue;](https://github.com/arcee-ai/mergekit/issues/198)
As I understand, The concept of the idea is to make model think twice but leap same distances like original. but why 0.7071067812?
> The scale factor to use, eg: solve x^2 = 1/2 --> ... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["kuotient/Meta-Llama-3-8B-Instruct"], "license_name": "llama3"} | kuotient/Llama-3-13B-Instruct-attenuated | null | [
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| # Llama-3-13B-Instruct-attenuated
The core idea came from @jukofyork, see this issue;
As I understand, The concept of the idea is to make model think twice but leap same distances like original. but why 0.7071067812?
> The scale factor to use, eg: solve x^2 = 1/2 --> x = 1/sqrt(2) ≈ 0.7071067812
## Merge Details
### ... | [
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automatic-speech-recognition | transformers.js | Fine-tunned Serbian Whisper medium to use it with Transformers.js
ONNX converted
[Sagicc/whisper-base-sr-yodas](https://huggingface.co/Sagicc/whisper-base-sr-yodas) with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until Web... | {"language": ["sr"], "license": "mit", "library_name": "transformers.js"} | Sagicc/whisper-base-sr-onnx | null | [
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| Fine-tunned Serbian Whisper medium to use it with URL
ONNX converted
Sagicc/whisper-base-sr-yodas with ONNX weights to be compatible with URL.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we rec... | [] | [
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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. -->
# Bert Base Uncased Boolean Question Answer model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["google/boolq"], "metrics": ["accuracy"], "widget": [{"text": "did abraham lincoln write the letter in saving private ryan <sep> In the 1998 war film Saving Private Ryan, General George Marshall (played by Harve Presnell) rea... | pranay-j/bert-base-uncased-google-boolq | null | [
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| Bert Base Uncased Boolean Question Answer model
===============================================
This model is a fine-tuned version of bert-base-uncased on the boolq dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1993
* Accuracy: 0.7150
Model description
-----------------
* Model typ... | [
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text-generation | transformers |
## Mistral-RAG
- **Model Name:** Mistral-RAG
- **Base Model:** [Mistral-Ita-7b](https://huggingface.co/DeepMount00/Mistral-Ita-7b)
- **Specialization:** Question and Answer Tasks
### Overview
Mistral-RAG is a refined fine-tuning of the Mistral-Ita-7b model, engineered specifically to enhance question and answer tasks... | {"language": ["it"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["DeepMount00/gquad_it"]} | DeepMount00/Mistral-RAG | null | [
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|
## Mistral-RAG
- Model Name: Mistral-RAG
- Base Model: Mistral-Ita-7b
- Specialization: Question and Answer Tasks
### Overview
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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_80 | 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 |
# 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": []} | hi000000/insta_chai-llama3_200 | null | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | ahGadji/Reinforce-Pixelcopter-PLE-v0 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "experiments", "results": []}]} | kiendt/llama3-8b-math | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# experiments
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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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": []} | avkay-llama/mistral-model | 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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null | transformers |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
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feature-extraction | 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": []} | sysong1/bert-base-uncased-dapt | null | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | null | Updated with new tokenizer.
GGUF quantization of [RDson/Orca-Llama-3-8B-Instruct-DPO](https://huggingface.co/RDson/Orca-Llama-3-8B-Instruct-DPO) | {"license": "other", "tags": ["gguf"], "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license", "pipeline_tag": "text-generation"} | RDson/Orca-Llama-3-8B-Instruct-DPO-GGUF | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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]
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text-classification | bertopic |
# C1-topic-model-100
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic
... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | AlexanderHolmes0/C1-Topic-Model-100 | null | [
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| C1-topic-model-100
==================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
An example of... | [] | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - mgnarag/corgy_dog_LoRA
<Gallery />
## Model description
These are mgnarag/corgy_dog_LoRA LoRA ... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | mgnarag/corgy_dog_LoRA | null | [
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|
# SDXL LoRA DreamBooth - mgnarag/corgy_dog_LoRA
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## Model description
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text-generation | transformers | # Llama-3-11.5B-Instruct-attenuated
The core idea came from @jukofyork, see this [issue;](https://github.com/arcee-ai/mergekit/issues/198)
As I understand, The concept of the idea is to make model think twice but leap same distances like original. but why 0.7071067812?
> The scale factor to use, eg: solve x^2 = 1/2 --... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["kuotient/Meta-Llama-3-8B-Instruct"], "license_name": "llama3"} | kuotient/Llama-3-11B-Instruct-attenuated | null | [
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| # Llama-3-11.5B-Instruct-attenuated
The core idea came from @jukofyork, see this issue;
As I understand, The concept of the idea is to make model think twice but leap same distances like original. but why 0.7071067812?
> The scale factor to use, eg: solve x^2 = 1/2 --> x = 1/sqrt(2) ≈ 0.7071067812
## Merge Details
##... | [
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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?"}]}]} | anismahmahi/fallacyRoberta | null | [
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# Model Trained Using AutoTrain
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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. -->
# flant5-small-final
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-small", "model-index": [{"name": "flant5-small-final", "results": []}]} | dtruong46me/flant5-small-final | null | [
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| flant5-small-final
==================
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0908
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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feature-extraction | 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": []} | sysong1/xlm-roberta-base-dapt | 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 |
# 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": []} | domenicrosati/lens-loss-minimality_lr_2e-5_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_1_num_layers_32 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1](h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1", "alpindale/WizardLM-2-8x22B"]} | NotAiLOL/Knight-Mixtral-WizardLM-140B | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
* alpindale/WizardLM-2-8x22B
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text-generation | transformers | # Llama-3-DARE-v1-8B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llam... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B"], "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT"} | rmihaylov/Llama-3-DARE-v1-8B | null | [
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| # Llama-3-DARE-v1-8B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using meta-llama/Meta-Llama-3-8B as a base.
### Models Merged
The following models were included in the merge:
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Vi - Dung125
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-sm... | {"language": ["vi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Vi - Dung125", "results": [{"task": {"type": "automatic-speech-recognition", "name": "... | Dung125/whisper-small-testv1 | null | [
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| Whisper Small Vi - Dung125
==========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5633
* Wer: 27.7772
Model description
-----------------
More information needed
Intended uses & ... | [
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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_upnormal_80 | 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": []} | hamzahey/Falcon_7b_Instruct | null | [
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text-generation | peft |
## Parameters
```
batch_size: 8
data_parameters:
- dataset_config:
input_features:
- article_text
shuffle_input_features: false
shuffle_trainable_features: false
trainable_features:
- front_title
trunc_feature: article_text
dataset_directory: data/vg_front_title
- dataset_config:
inpu... | {"library_name": "peft", "base_model": "NorLLM-AI/NorMistral-7B", "pipeline_tag": "text-generation", "widget": [{"text": "[article_text] LYGNA (VG) Norges skiskytterstjerner er sv\u00e6rt kritisk til at den internasjonale olympiske komit\u00e9 (IOC) \u00e5pner for en retur av russiske og belarusiske ut\u00f8vere. Ut\u... | sch-ai/front-titles-all-NorLLM-AINorMistral-7B-Rosa | 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": []} | Grayx/sad_llama_10 | null | [
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|
# Model Card for Model ID
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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": []} | luisespinosa/trust-merged_dataset_mdeberta-v3_1epoch | 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": []} | daanjiri/llama3_bhc_full | 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 | GPT2-IMDB is trained on IMDB dataset to generate a review for the given movie name(generates positive and negative reviews). This model is aligned in such a way to generate only positive reviews using Reinforcement Learning with Human Feedback. Basically aligned to the user's preference (ie) eg: positive reviews | {"license": "mit"} | pt-sk/gpt2-imdb-rlhf | null | [
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| GPT2-IMDB is trained on IMDB dataset to generate a review for the given movie name(generates positive and negative reviews). This model is aligned in such a way to generate only positive reviews using Reinforcement Learning with Human Feedback. Basically aligned to the user's preference (ie) eg: positive reviews | [] | [
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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": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-1500 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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### Model Sources [optional]
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feature-extraction | transformers | For DEMO practice only.
SFT Qwen/Qwen-1_8B-Chat. | {} | Alan399/qwen-1.8B-demo1 | null | [
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| For DEMO practice only.
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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. -->
# beit-base-patch16-224-dmae-va-U5-42C
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "beit-base-patch16-224-dmae-va-U5-42C", "results": []}]} | Augusto777/beit-base-patch16-224-dmae-va-U5-42C | null | [
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| beit-base-patch16-224-dmae-va-U5-42C
====================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9081
* Accuracy: 0.65
Model description
-----------------
More information nee... | [
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question-answering | transformers | # Model Card for Llama3-4x8B-TimeAgents
This model card serves as a detailed guide and reference for users interacting with the Llama3-TimeAgents-4x8B model.
## Model Details
### Model Description
Llama3-TimeAgents-4x8B is an advanced machine learning model specifically developed for multi-agent systems focused on ... | {"pipeline_tag": "question-answering"} | AIFS/Llama3-8x8B-Time-Agents | null | [
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] | null | 2024-04-20T14:07:49+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #question-answering #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Llama3-4x8B-TimeAgents
This model card serves as a detailed guide and reference for users interacting with the Llama3-TimeAgents-4x8B model.
## Model Details
### Model Description
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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. -->
# checkpoints
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "checkpoints", "results": []}]} | Samur4ii/checkpoints | null | [
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| checkpoints
===========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3063
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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_upnormal_100 | 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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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 04-20-14-12-55
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "04-20-14-12-55", "results": []}]} | reeddg/04-20-14-12-55 | null | [
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"license:apache-2.0",
"region:us"
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| 04-20-14-12-55
==============
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0027
* Accuracy: 1.0
* Precision: 1.0
* Recall: 1.0
* F1: 1.0
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "openchat/openchat-3.5-0106"]} | djward888/mergekit-slerp-rchutni | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B
* openchat/openchat-3.5-0106
### Configuration
The f... | [
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null | null |
**新闻 | News**
**[2024-04-22]**
piccolo-large-zh-v2 目前在C-MTEB榜单取得第一名，领先上一名BERT模型约1.9个点。
piccolo-large-zh-v2 currently ranks first on the C-MTEB list, leading the previous BERT model by about 1.9 points.
## piccolo-large-zh-v2
piccolo-large-zh-v2 是一个通用embedding模型(中文), 由来自商汤科技的通用模型组完成训练，此次piccolo升级旨在更多地关注通用的下游fin... | {"tags": ["mteb"], "model-index": [{"name": "piccolo-large-zh-v2", "results": [{"task": {"type": "STS"}, "dataset": {"name": "MTEB AFQMC", "type": "C-MTEB/AFQMC", "config": "default", "split": "validation", "revision": "None"}, "metrics": [{"type": "cos_sim_pearson", "value": 56.76055988260572}, {"type": "cos_sim_spear... | sensenova/piccolo-large-zh-v2 | null | [
"mteb",
"model-index",
"region:us"
] | null | 2024-04-20T14:15:18+00:00 | [] | [] | TAGS
#mteb #model-index #region-us
|
新闻 | News
[2024-04-22]
piccolo-large-zh-v2 目前在C-MTEB榜单取得第一名，领先上一名BERT模型约1.9个点。
piccolo-large-zh-v2 currently ranks first on the C-MTEB list, leading the previous BERT model by about 1.9 points.
## piccolo-large-zh-v2
piccolo-large-zh-v2 是一个通用embedding模型(中文), 由来自商汤科技的通用模型组完成训练，此次piccolo升级旨在更多地关注通用的下游finetune方式。... | [
"## piccolo-large-zh-v2\n\npiccolo-large-zh-v2 是一个通用embedding模型(中文), 由来自商汤科技的通用模型组完成训练，此次piccolo升级旨在更多地关注通用的下游finetune方式。我们将在近期更新我们的技术报告，同时详细技术细节也将在商汤4.23技术交流日披露: URL\n\npiccolo-large-zh-v2 is a Chinese embedding model developed by the general model group at SenseTime Research. This upgraded version of Piccolo aims... | [
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text-generation | null | ## Model Summary
The language model Phi-1.5 is a Transformer with **1.3 billion** parameters. It was trained using the same data sources as [phi-1](https://huggingface.co/microsoft/phi-1), augmented with a new data source that consists of various NLP synthetic texts. When assessed against benchmarks testing common sen... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/phi-1_5/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | TommyZQ/phi-1_5 | null | [
"nlp",
"code",
"text-generation",
"en",
"arxiv:2309.05463",
"license:mit",
"region:us"
] | null | 2024-04-20T14:17:09+00:00 | [
"2309.05463"
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"en"
] | TAGS
#nlp #code #text-generation #en #arxiv-2309.05463 #license-mit #region-us
| ## Model Summary
The language model Phi-1.5 is a Transformer with 1.3 billion parameters. It was trained using the same data sources as phi-1, augmented with a new data source that consists of various NLP synthetic texts. When assessed against benchmarks testing common sense, language understanding, and logical reason... | [
"## Model Summary\n\nThe language model Phi-1.5 is a Transformer with 1.3 billion parameters. It was trained using the same data sources as phi-1, augmented with a new data source that consists of various NLP synthetic texts. When assessed against benchmarks testing common sense, language understanding, and logical... | [
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text-generation | null |
# NotAiLOL/phi-2-Q4_K_M-GGUF
This model was converted to GGUF format from [`microsoft/phi-2`](https://huggingface.co/microsoft/phi-2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/microsoft/phi-2) f... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | NotAiLOL/phi-2-Q4_K_M-GGUF | null | [
"gguf",
"nlp",
"code",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-20T14:17:19+00:00 | [] | [
"en"
] | TAGS
#gguf #nlp #code #llama-cpp #gguf-my-repo #text-generation #en #license-mit #region-us
|
# NotAiLOL/phi-2-Q4_K_M-GGUF
This model was converted to GGUF format from 'microsoft/phi-2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also u... | [
"# NotAiLOL/phi-2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'microsoft/phi-2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer:\n... | [
"TAGS\n#gguf #nlp #code #llama-cpp #gguf-my-repo #text-generation #en #license-mit #region-us \n",
"# NotAiLOL/phi-2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'microsoft/phi-2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - mgnarag/Jem_face
<Gallery />
## Model description
These are mgnarag/Jem_face LoRA adaption wei... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | mgnarag/Jem_face | null | [
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-20T14:18:30+00:00 | [] | [] | TAGS
#diffusers #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - mgnarag/Jem_face
<Gallery />
## Model description
These are mgnarag/Jem_face LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-va... | [
"# SDXL LoRA DreamBooth - mgnarag/Jem_face\n\n<Gallery />",
"## Model description\n\nThese are mgnarag/Jem_face LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used for training: made... | [
"TAGS\n#diffusers #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - mgnarag/Jem_face\n\n<Gallery />",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/gotzmann/Mira-70B-v0.8
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama"], "base_model": "gotzmann/Mira-70B-v0.8", "quantized_by": "mradermacher"} | mradermacher/Mira-70B-v0.8-GGUF | null | [
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"llama",
"en",
"base_model:gotzmann/Mira-70B-v0.8",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T14:23:08+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #en #base_model-gotzmann/Mira-70B-v0.8 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null | # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/dolphin-2.0-mistral-7B-GGUF") | {} | BadJokes/Dol | null | [
"region:us"
] | null | 2024-04-20T14:24:28+00:00 | [] | [] | TAGS
#region-us
| # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/dolphin-2.0-mistral-7B-GGUF") | [
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null | adapter-transformers |
# Adapter `ltuzova/pretrain_tapt_seq_bn_adpater_full_train` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset/) dataset ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset"]} | ltuzova/pretrain_tapt_seq_bn_adpater_full_train | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset",
"region:us"
] | null | 2024-04-20T14:25:01+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset #region-us
|
# Adapter 'ltuzova/pretrain_tapt_seq_bn_adpater_full_train' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Us... | [
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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": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-1750 | null | [
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"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b #region-us
|
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## Model Details
### Model Description
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-generation | transformers |
Gigi is fine-tuned on over 1.3 million pieces of high-quality Chinese-English bilingual corpus screened with the state-of-the-art Llama-3-8B-Instruct. It can better handle various downstream tasks ... | {"language": ["en", "zh"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama", "latest"], "datasets": ["teknium/OpenHermes-2.5"], "pipeline_tag": "text-generation"} | yaojialzc/Gigi-Llama3-8B-Chinese-zh | null | [
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|
!image/webp
Gigi is fine-tuned on over 1.3 million pieces of high-quality Chinese-English bilingual corpus screened with the state-of-the-art Llama-3-8B-Instruct. It can better handle various downstream tasks and provide you with high-quality Chinese-English bilingual results. We incorporated high-quality fine-tuning... | [
"# Gigi-Llama-3-8B-zh\n\nGigi-Llama-3-8B-zh is the first model in the Gigi series, trained on the Hermes, glaive-function-calling, refgpt_fact_v2 datasets, and some Chinese data translated using GPT3.5. It has also improved the model's behavior in both Chinese and English and further enhanced its Chinese capabiliti... | [
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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-medium-num-test | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NotAiLOL/Knight-Miqu-27B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "NotAiLOL/Knight-Miqu-27B-MoE", "quantized_by": "mradermacher"} | mradermacher/Knight-Miqu-27B-MoE-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-NotAiLOL/Knight-Miqu-27B-MoE #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-NotAiLOL/Knight-Miqu-27B-MoE #license-apache-2.0 #endpoints_compatible #region-us \n"
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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-stable4 | 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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sentence-similarity | sentence-transformers | ## Model Description:
[**vietnamese-embedding**](https://huggingface.co/dangvantuan/vietnamese-embedding) is the Embedding Model for Vietnamese language. This model is a specialized sentence-embedding trained specifically for the Vietnamese language, leveraging the robust capabilities of PhoBERT, a pre-trained language... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | dangvantuan/vietnamese-embedding | null | [
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| Model Description:
------------------
vietnamese-embedding is the Embedding Model for Vietnamese language. This model is a specialized sentence-embedding trained specifically for the Vietnamese language, leveraging the robust capabilities of PhoBERT, a pre-trained language model based on the RoBERTa architecture.
The... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | chriswilson2020/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: 0.2128
* Accuracy: 0.9225
* F1: 0.9225
Model description
-----------------
Mo... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | djward888/mergekit-slerp-valqnxt | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
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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_upnormal_200 | 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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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper da-nst
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on th... | {"license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper da-nst", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "... | nicolarsen/whisper-medium-4-F | null | [
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| Whisper da-nst
==============
This model is a fine-tuned version of openai/whisper-medium on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9322
* Wer: 29.1888
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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-3-user111-100 | null | [
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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. -->
# all_9843_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "all_9843_bart-base", "results": []}]} | baek26/all_9843_bart-base | null | [
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#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| all\_9843\_bart-base
====================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2356
* Rouge1: 0.2722
* Rouge2: 0.1239
* Rougel: 0.2315
* Rougelsum: 0.2424
* Gen Len: 19.9567
Model description
--------------... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "CartPole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean... | Frankhuhu/CartPole | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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. -->
# deberta-large-finetuned-squad-v2
This model is a fine-tuned version of [microsoft/deberta-large](https://huggingface.co/microsof... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-large", "model-index": [{"name": "deberta-large-finetuned-squad-v2", "results": []}]} | Samuel-DD/deberta-large-finetuned-squad-v2 | null | [
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|
# deberta-large-finetuned-squad-v2
This model is a fine-tuned version of microsoft/deberta-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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null | null | # Chimera-8B
- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [Chimera-8B](https://huggingface.co/mlabonne/Chimera-8B)
<!-- description start -->
## Description
This repo contains GGUF format model files for [mlabonne's Chimera-8B ](https://huggingface.co/mlabonne/Chimera-8B).
## Provide... | {"tags": ["GGUF"], "base_model": ["mlabonne/Chimera-8B"]} | seyf1elislam/Chimera-8B-GGUF | null | [
"gguf",
"GGUF",
"base_model:mlabonne/Chimera-8B",
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#gguf #GGUF #base_model-mlabonne/Chimera-8B #region-us
| Chimera-8B
==========
* Model creator: mlabonne
* Original model: Chimera-8B
Description
-----------
This repo contains GGUF format model files for mlabonne's Chimera-8B .
Provided files
--------------
| [] | [
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text-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. -->
# bias_identificaiton2
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/c... | {"tags": ["generated_from_keras_callback"], "base_model": "cardiffnlp/twitter-roberta-base-sentiment-latest", "model-index": [{"name": "bias_identificaiton2", "results": []}]} | PriyaPatel/bias_identificaiton2 | null | [
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"endpoints_compatible",
"region:us"
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| bias\_identificaiton2
=====================
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.7723
* Train Accuracy: 0.3591
* Validation Loss: 1.7726
* Validation Accuracy: 0.3605
* E... | [
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text-generation | transformers | ## Model Description
This model was fine-tuned on meta-llama/Meta-Llama-3-8B-Instruct for function calling and json mode.
## Usage
### JSON Mode
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode"
tokenizer = AutoT... | {"language": ["en"], "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "trl", "llama"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode | null | [
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| ## Model Description
This model was fine-tuned on meta-llama/Meta-Llama-3-8B-Instruct for function calling and json mode.
## Usage
### JSON Mode
### Function Calling
# Uploaded model
- Developed by: hiieu
This model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | transformers |
# Uploaded model
- **Developed by:** nakulz
- **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"} | nakulz/unsloth-llama-3-8b-bnb-4bit-lora_model | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text-generation | null |
## Model Summary
The language model Phi-1 is a Transformer with 1.3 billion parameters, specialized for basic Python coding. Its training involved a variety of data sources, including subsets of Python codes from [The Stack v1.2](https://huggingface.co/datasets/bigcode/the-stack), Q&A content from [StackOverflow](htt... | {"language": ["en"], "license": "mit", "tags": ["code"], "license_link": "https://huggingface.co/microsoft/phi-1/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | TommyZQ/phi-1 | null | [
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|
## Model Summary
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.6-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparame... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.6-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.6-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.6-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-chat-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co... | {} | RichardErkhov/meta-llama_-_Llama-2-13b-chat-hf-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-chat-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gate... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-2e-7-m-5-e-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sen... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-2e-7-m-5-e-3 | null | [
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|
# luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-2e-7-m-5-e-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you... | [
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null | null | GGUF of [Replete-AI Llama 3 11.5B Instruct V2](https://huggingface.co/Replete-AI/Llama-3-11.5B-Instruct-v2)
Quantized with llama.cpp commit <s>[b2710](https://github.com/ggerganov/llama.cpp/releases/tag/b2710)</s> [b2780](https://github.com/ggerganov/llama.cpp/releases/tag/b2780)
Original model description below<hr>
... | {"license": "other", "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE"} | IHaveNoClueAndIMustPost/Llama-3-11.5B-Instruct-v2_GGUF | null | [
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#gguf #license-other #region-us
| GGUF of Replete-AI Llama 3 11.5B Instruct V2
Quantized with URL commit <s>b2710</s> b2780
Original model description below<hr>
Llama-3-11.5B-Instruct-v2
Thank you to Meta for the weights for Meta-Llama-3-8B-Instruct
!image/png
This is an upscaling of the Meta-Llama-3-8B-Instruct Ai using techniques created for ch... | [] | [
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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. -->
# beit-base-patch16-224-dmae-va-U5-42D
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "beit-base-patch16-224-dmae-va-U5-42D", "results": []}]} | Augusto777/beit-base-patch16-224-dmae-va-U5-42D | null | [
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| beit-base-patch16-224-dmae-va-U5-42D
====================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6193
* Accuracy: 0.7
Model description
-----------------
More information need... | [
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text-generation | transformers |
# llama-3-neural-chat-v1-8b
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
I fine-... | {"license": "other", "library_name": "transformers", "datasets": ["mlabonne/orpo-dpo-mix-40k", "Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index... | Locutusque/llama-3-neural-chat-v1-8b | null | [
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"dataset:MaziyarPanahi/WizardL... | null | 2024-04-20T14:47:00+00:00 | [] | [] | TAGS
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=========================
!image/png
Model Details
-------------
### Model Description
I fine-tuned llama-3 8B on an approach similar to Intel's neural chat language model. I have slightly modified the data sources so it is stronger in coding, math, and writing. I use both SFT and DPO.... | [
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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": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-2000 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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### Model Sources [optional]
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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": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-2250 | null | [
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feature-extraction | 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. -->
# bias_identificaiton3
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-uncased", "model-index": [{"name": "bias_identificaiton3", "results": []}]} | PriyaPatel/bias_identificaiton3 | null | [
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|
# bias_identificaiton3
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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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": []} | luisespinosa/trust-merged_dataset_mdeberta-v3_10epoch | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 04-20-14-55-32
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "04-20-14-55-32", "results": []}]} | reeddg/04-20-14-55-32 | null | [
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| 04-20-14-55-32
==============
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6289
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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": []} | Sahil998/codegen-350M-mono-finetuned-python-18k-alpaca_60_percent_40epochs | null | [
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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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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset_condensed](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset_condensed/) dataset and in... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset_condensed"]} | BigTMiami/micro_par_bn_v_1_pretrain_adapter | null | [
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|
# Adapter 'BigTMiami/micro_par_bn_v_1_pretrain_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
... | [
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automatic-speech-recognition | transformers |
# uniTKU-hubert-japanese-asr
This model was fine-tuned on a dataset provided by uniTKU, and it has maintained the original performance metrics on the [common_voice_11_0 dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/ja).
This model can only predict Hiragana.
## Training Procedu... | {"language": ["ja"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer", "cer"], "model-index": [{"name": "uniTKU-hubert-japanese-asr", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Speech Recognition"}, "dataset"... | TKU410410103/uniTKU-hubert-japanese-asr | null | [
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| uniTKU-hubert-japanese-asr
==========================
This model was fine-tuned on a dataset provided by uniTKU, and it has maintained the original performance metrics on the common\_voice\_11\_0 dataset.
This model can only predict Hiragana.
Training Procedure
------------------
Fine-tuning on the uniTKU datas... | [
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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"]} | AlekHesa/testing-llama2-v6 | 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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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. -->
# First_model
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "First_model", "results": []}]} | Srish117/First_model | null | [
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| First\_model
============
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: 1.0813
* Accuracy: 0.618
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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null | peft |
# Model Card for Model ID
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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. -->
# nsfw-pt-br
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-bas... | {"license": "mit", "tags": ["text-classification", "generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "nsfw-pt-br", "results": []}]} | wendys-llc/nsfw-pt-br | null | [
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| nsfw-pt-br
==========
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6324
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-invoice-extractor-remake-3
This model was trained from scratch on the imagefolder dataset.
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| donut-base-invoice-extractor-remake-3
=====================================
This model was trained from scratch on the imagefolder dataset.
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-----------------
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----------... | [
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers |
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null | transformers |
# 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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- _load_in_4bit: True
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- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft", "model-index": [{"name": "zephyr_7b_beta_ultraalpaca", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train", "args": {"num_few_shot": 3}}, "metrics": [{"type": "acc", ... | recogna-nlp/zephyr_7b_beta_ultraalpaca | null | [
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| Training procedure
------------------
The following 'bitsandbytes' quantization config was used during training:
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* \_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\_h... | [
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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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["shub-kris/claire-dataset"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "I feel like dying"}, {"text": "What do you know about Football?"}, {"text": "How can I change my notification setti... | shub-kris/claire-text-classification-model | null | [
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#transformers #safetensors #distilbert #text-classification #en #dataset-shub-kris/claire-dataset #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_class_no_pre_0_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_class_no_pre_0_adapter | null | [
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"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_1_class_no_pre_0_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
... | [
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text-generation | transformers |
# Configurable-LLama-3-8B
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from https://arxiv.org/abs/2404.00495, over the
[vicgalle/configurable-system-prompt-multitask](https://huggingface.co/datasets/vicgalle/configurable-system-prompt-multitask) dataset.
As such, you can u... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["safety"], "datasets": ["vicgalle/configurable-system-prompt-multitask"]} | vicgalle/Configurable-Llama-3-8B-v0.3 | null | [
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|
# Configurable-LLama-3-8B
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from URL over the
vicgalle/configurable-system-prompt-multitask dataset.
As such, you can use the following system prompts for different behaviors:
* 'You are a helpful yet harmless assistant that avoi... | [
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | henrik895/detr | null | [
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"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7604
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_2_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset_condensed](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset_condensed/) dataset and in... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset_condensed"]} | BigTMiami/micro_par_bn_v_2_pretrain_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset_condensed",
"region:us"
] | null | 2024-04-20T15:21:03+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset_condensed #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_2_pretrain_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": []}]} | RashmiNair/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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"license:apache-2.0",
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] | null | 2024-04-20T15:23:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0870
* Accuracy: 0.968
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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