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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test_trainer
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "test_trainer", "results": []}]} | melabelen/mela-tw-sentiment-model | null | [
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| test\_trainer
=============
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3773
* Accuracy: 0.6719
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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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": []} | TinyPixel/try-2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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. -->
# saiga_double_lora
This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Llama-2-7B-fp16", "model-index": [{"name": "saiga_double_lora", "results": []}]} | marcus2000/saiga_double_lora | null | [
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| saiga\_double\_lora
===================
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0512
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer
This is a [sentence-transformers](https://www.SBERT.net) model trained on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/stsb) dataset. It maps sentences & paragraphs to a 300-dimensional dense vector space and can be used for semantic textual similarity, ... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/glove-mean-pooling-sts | null | [
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#sentence-transformers #sentence-similarity #feature-extraction #loss-CosineSimilarityLoss #en #arxiv-1908.10084 #model-index #co2_eq_emissions #endpoints_compatible #region-us
| SentenceTransformer
===================
This is a sentence-transformers model trained on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 300-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, ... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Maximum Sequence Length: 1000000 tokens\n* Output Dimensionality: 300 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\n\n\t+ sentence-transformers/stsb\n* Language: en",
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text-generation | transformers | # mlabonne/ChimeraLlama-3-8B AWQ
- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [ChimeraLlama-3-8B](https://huggingface.co/mlabonne/ChimeraLlama-3-8B)
## Model Summary
ChimeraLlama-3-8B outperforms Llama 3 8B Instruct on Nous' benchmark suite.
ChimeraLlama-3-8B is a merge of the foll... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "merge", "mergekit", "lazymergekit", "llama"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "mlabonne/OrpoLlama-3-8B", "Locutusque/Llama-3-Orca-1.0-8B", "abacusai/L... | solidrust/ChimeraLlama-3-8B-AWQ | null | [
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- Model creator: mlabonne
- Original model: ChimeraLlama-3-8B
## Model Summary
ChimeraLlama-3-8B outperforms Llama 3 8B Instruct on Nous' benchmark suite.
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* NousResearch/Meta-Llama-3-8B-Instruct
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad", "results": []}]} | qubvel-hf/facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad | null | [
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<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limitations
More information n... | [
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text2text-generation | transformers | bfloat16 safetensors conversion of https://huggingface.co/google/t5_xxl_true_nli_mixture | {"language": ["en"], "license": "apache-2.0", "datasets": ["tals/vitaminc", "SetFit/mnli", "snli", "fever", "paws", "scitail"]} | tdolega/t5_xxl_true_nli_mixture-bf16 | null | [
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question-answering | 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. -->
# Asmaamaghraby/historyqa_model
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab... | {"tags": ["generated_from_keras_callback"], "base_model": "aubmindlab/bert-base-arabertv2", "model-index": [{"name": "Asmaamaghraby/historyqa_model", "results": []}]} | Asmaamaghraby/historyqa_model | null | [
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| Asmaamaghraby/historyqa\_model
==============================
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.1424
* Validation Loss: 3.0324
* Epoch: 9
Model description
-----------------
More in... | [
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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": []}]} | MarkoLillemagi/detr | null | [
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| 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: 1.4503
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/zvnuskx | 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": []} | liquid9212/g6n20gi | 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 | # 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:
* [cilantro9246/le6l0kb](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cilantro9246/le6l0kb", "Grayx/sad_llama_38"]} | Sumail/Chalice1 | 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:
* cilantro9246/le6l0kb
* Grayx/sad_llama_38
### Configuration
The following YAML ... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on google-bert/bert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/sts... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/bert-base-uncased-cnn | null | [
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| SentenceTransformer based on google-bert/bert-base-uncased
==========================================================
This is a sentence-transformers model finetuned from google-bert/bert-base-uncased on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and... | [
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text-generation | null |
## Llamacpp imatrix Quantizations of L3-TheSpice-8b-v0.8.3
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
Original model: https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3
All quants made ... | {"license": "cc-by-nc-4.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/L3-TheSpice-8b-v0.8.3-GGUF | null | [
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#gguf #text-generation #license-cc-by-nc-4.0 #region-us
| Llamacpp imatrix Quantizations of L3-TheSpice-8b-v0.8.3
-------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file ... | [] | [
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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. -->
# text_summarization_finetuned2
This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falcon... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Falconsai/text_summarization", "model-index": [{"name": "text_summarization_finetuned2", "results": []}]} | HARDYCHEN/text_summarization_finetuned2 | null | [
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| text\_summarization\_finetuned2
===============================
This model is a fine-tuned version of Falconsai/text\_summarization on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3126
* Rouge1: 0.0675
* Rouge2: 0.0578
* Rougel: 0.0674
* Rougelsum: 0.0674
* Gen Len: 19.0
Mo... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | marcagve18/baby-face-generation | null | [
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|
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## Model Details
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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sentence-similarity | sentence-transformers |
# SentenceTransformer
This is a [sentence-transformers](https://www.SBERT.net) model trained on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/stsb) dataset. It maps sentences & paragraphs to a 300-dimensional dense vector space and can be used for semantic textual similarity, ... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/glove-wikipedia-tf-idf | null | [
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| SentenceTransformer
===================
This is a sentence-transformers model trained on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 300-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, ... | [
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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": []}]} | YaroslavPrytula/detr | null | [
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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: 0.9698
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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question-answering | 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. -->
# Kiran2004/Electra_QCA_Squad
This model is a fine-tuned version of [deepset/electra-base-squad2](https://huggingface.co/deepset/electra... | {"license": "cc-by-4.0", "tags": ["generated_from_keras_callback"], "base_model": "deepset/electra-base-squad2", "model-index": [{"name": "Kiran2004/Electra_QCA_Squad", "results": []}]} | Kiran2004/Electra_QCA_Squad | null | [
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] | null | 2024-04-25T15:53:13+00:00 | [] | [] | TAGS
#transformers #tf #electra #question-answering #generated_from_keras_callback #base_model-deepset/electra-base-squad2 #license-cc-by-4.0 #endpoints_compatible #region-us
| Kiran2004/Electra\_QCA\_Squad
=============================
This model is a fine-tuned version of deepset/electra-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0515
* Validation Loss: 0.1711
* Epoch: 9
Model description
-----------------
More informa... | [
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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": []} | Karimsliti/karim_codellama_merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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. -->
# multilingual-e5-large-guardrail-financial-advice-classifier-training
This model is a fine-tuned version of [intfloat/multilingua... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-financial-advice-classifier-training", "results": []}]} | jamesoneill12/multilingual-e5-large-guardrail-financial-advice-classifier-training | null | [
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|
# multilingual-e5-large-guardrail-financial-advice-classifier-training
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/chrischain/Satoshi1337-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "chrischain/Satoshi1337-8B", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept the terms of the licen... | mradermacher/Satoshi1337-8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | CMU-AIR2/math-deepseek-FULL-ArithHardC12 | 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": []} | sin2piusc/whisper-medium-anime-5k-tokenizer | null | [
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text-generation | transformers |
# Qwen-Audio-nf4
This is the quantized version of [Qwen-Audio](https://huggingface.co/Qwen/Qwen-Audio)
# Original Model Card:
# Qwen-Audio
<br>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Audio/audio_logo.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-Audio ... | {"language": ["zh", "en"], "tags": ["qwen"], "pipeline_tag": "text-generation", "inference": false} | Ostixe360/Qwen-Audio-nf4 | null | [
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"text-generation",
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# Qwen-Audio-nf4
This is the quantized version of Qwen-Audio
# Original Model Card:
# Qwen-Audio
<br>
<p align="center">
<img src="URL width="400"/>
<p>
<br>
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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. -->
# mental_health_model_long
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/lon... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "mental_health_model_long", "results": []}]} | AlexanderHolmes0/mental_health_model_long | null | [
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| mental\_health\_model\_long
===========================
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6509
* Accuracy: 0.7423
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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null | null |
# M7Percival_01-7B
M7Percival_01-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: liminerity/M7-7b
- model: AurelPx/Percival_01-7b-slerp
merge_method: model_s... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/M7Percival_01-7B | null | [
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|
# M7Percival_01-7B
M7Percival_01-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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sentence-similarity | sentence-transformers |
# SentenceTransformer
This is a [sentence-transformers](https://www.SBERT.net) model trained on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/stsb) dataset. It maps sentences & paragraphs to a 2048-dimensional dense vector space and can be used for semantic textual similarity,... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/glove-bilstm-sts | null | [
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"feature-extraction",
"loss:CosineSimilarityLoss",
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"arxiv:1908.10084",
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"region:us"
] | null | 2024-04-25T16:06:27+00:00 | [
"1908.10084"
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| SentenceTransformer
===================
This is a sentence-transformers model trained on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 2048-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering,... | [
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text-generation | transformers |
---
null
# Uploaded model
- **Developed by:** Ramikan-BR
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "tinyllamacoder-py", "coder-py", "coder"], "base_model": "unsloth/tinyllama-bnb-4bit"} | Ramikan-BR/tinyllama_PY-CODER-bnb-4bit-lora_model-4k | null | [
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|
---
null
# Uploaded model
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- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | Entreprenerdly/blip2-opt-2.7b-football-captions-adapters | null | [
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|
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null | null | # Antler-7B-Novel-Writing-GGUF
## 概要
[Aratako/SniffyOtter-7B-Novel-Writing-NSFW](https://huggingface.co/Aratako/SniffyOtter-7B-Novel-Writing-NSFW)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["Aratako/Syosetu711K-Cleaned-158K-Instruct"], "base_model": ["Aratako/SniffyOtter-7B-Novel-Writing-NSFW"]} | Aratako/SniffyOtter-7B-Novel-Writing-NSFW-GGUF | null | [
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| # Antler-7B-Novel-Writing-GGUF
## 概要
Aratako/SniffyOtter-7B-Novel-Writing-NSFWの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
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] |
text-generation | transformers |
# Model Card for CBTLlama: Fine Tuning LLaMA for CBT Thought Distortions
## Model Details
### Model Description
Developed by David Schiff, this Hugging Face transformers model, dubbed CBTLlama, is fine-tuned on the LLaMA-3 8B architecture.
It is specifically tailored to enhance Cognitive Behavioral Therapy (CBT) b... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | epsilon3/cbt-llama3-8b-finetuned | null | [
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#transformers #safetensors #llama #text-generation #unsloth #trl #sft #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for CBTLlama: Fine Tuning LLaMA for CBT Thought Distortions
## Model Details
### Model Description
Developed by David Schiff, this Hugging Face transformers model, dubbed CBTLlama, is fine-tuned on the LLaMA-3 8B architecture.
It is specifically tailored to enhance Cognitive Behavioral Therapy (CBT) b... | [
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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": []} | lxsure/Sniper_35 | null | [
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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 | # ResplendentAI/SOVL_Llama3_8B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [SOVL_Llama3_8B](https://huggingface.co/ResplendentAI/SOVL_Llama3_8B)
## M... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": ["jeiku/Average_Test_v1", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"], "pipeline_tag": "text-generation", "inference": false, "quan... | solidrust/SOVL_Llama3_8B-AWQ | null | [
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| # ResplendentAI/SOVL_Llama3_8B AWQ
- Model creator: ResplendentAI
- Original model: SOVL_Llama3_8B
!image/png
## Model Summary
I'm not gonna tell you this is the best model anyone has ever made. I'm not going to tell you that you will love chatting with SOVL.
What I am gonna say is thank you for taking the time ou... | [
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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. -->
# zephyr-7b-gemma-sft-20p-2048
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on ... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-20p-2048", "results": []}]} | Jackie999/zephyr-7b-gemma-sft-20p-2048 | null | [
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| zephyr-7b-gemma-sft-20p-2048
============================
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2425
Model description
-----------------
More information needed
Intended uses & limi... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sayan01/CKA-T5-CoT-l1-T1 | 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]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/shauray/Llama3-Inst-8B-DPO-Ultrafeedback
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If the... | {"language": ["en"], "library_name": "transformers", "base_model": "shauray/Llama3-Inst-8B-DPO-Ultrafeedback", "quantized_by": "mradermacher"} | mradermacher/Llama3-Inst-8B-DPO-Ultrafeedback-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | # [MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-8B-Instruct-DPO-v0.3-GGUF", "base_model": "MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_t... | MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3-32k-GGUF | null | [
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| # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3
## Description
MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3.
## Prompt Template
This model u... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/shauray/Mistral-DPO-Uncensored
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "base_model": "shauray/Mistral-DPO-Uncensored", "quantized_by": "mradermacher"} | mradermacher/Mistral-DPO-Uncensored-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:shauray/Mistral-DPO-Uncensored",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T16:21:50+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-shauray/Mistral-DPO-Uncensored #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 #en #base_model-shauray/Mistral-DPO-Uncensored #endpoints_compatible #region-us \n"
] | [
36
] | [
"TAGS\n#transformers #gguf #en #base_model-shauray/Mistral-DPO-Uncensored #endpoints_compatible #region-us \n"
] |
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... | FAYSSAL12/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T16:22:05+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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. -->
# chain-texts-0.1-dolphin-mixtral-8x7b
This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "cognitivecomputations/dolphin-2.2.1-mistral-7b", "model-index": [{"name": "chain-texts-0.1-dolphin-mixtral-8x7b", "results": []}]} | WHATEVER420/chain-texts-0.1-dolphin-mixtral-8x7b | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:cognitivecomputations/dolphin-2.2.1-mistral-7b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T16:22:06+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.2.1-mistral-7b #license-apache-2.0 #region-us
| chain-texts-0.1-dolphin-mixtral-8x7b
====================================
This model is a fine-tuned version of cognitivecomputations/dolphin-2.2.1-mistral-7b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6571
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 3\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: constant\n* lr\\_scheduler\\_warmup\\_step... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-cognitivecomputations/dolphin-2.2.1-mistral-7b #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* t... | [
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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": []} | Ynir/gemma-Code-Instruct-Finetune-idk_v1 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T16:23:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #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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"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_useresponse_iter_4", "result... | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_4 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3",
"license:mit",
"autotrain_compatibl... | null | 2024-04-25T16:28:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference ... |
# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and... | [
"# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_4\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_3 on the updated and the original datasets.",
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"## Intended uses & limitations\n\nMore information needed"... | [
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question-answering | 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. -->
# Kiran2004/Electra_QCA_Custom
This model is a fine-tuned version of [deepset/electra-base-squad2](https://huggingface.co/deepset/electr... | {"license": "cc-by-4.0", "tags": ["generated_from_keras_callback"], "base_model": "deepset/electra-base-squad2", "model-index": [{"name": "Kiran2004/Electra_QCA_Custom", "results": []}]} | Kiran2004/Electra_QCA_Custom | null | [
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"tf",
"electra",
"question-answering",
"generated_from_keras_callback",
"base_model:deepset/electra-base-squad2",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T16:30:30+00:00 | [] | [] | TAGS
#transformers #tf #electra #question-answering #generated_from_keras_callback #base_model-deepset/electra-base-squad2 #license-cc-by-4.0 #endpoints_compatible #region-us
| Kiran2004/Electra\_QCA\_Custom
==============================
This model is a fine-tuned version of deepset/electra-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0010
* Validation Loss: 0.0001
* Epoch: 3
Model description
-----------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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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. -->
# saiga_double_lora200
This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Llama-2-7B-fp16", "model-index": [{"name": "saiga_double_lora200", "results": []}]} | marcus2000/saiga_double_lora200 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Llama-2-7B-fp16",
"region:us"
] | null | 2024-04-25T16:34:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-TheBloke/Llama-2-7B-fp16 #region-us
| saiga\_double\_lora200
======================
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4338
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 10\n* total\\_train\\_batch\\_size: 20\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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. -->
# zephyr-7b-gpo-gen-i1
This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-update3-i0](https://huggingface.co/DUAL-GPO/z... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-gpo-gen-i1", "results": []}]} | lole25/zephyr-7b-gpo-gen-i1 | null | [
"peft",
"tensorboard",
"safetensors",
"mistral",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T16:35:22+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #mistral #alignment-handbook #generated_from_trainer #trl #dpo #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| zephyr-7b-gpo-gen-i1
====================
This model is a fine-tuned version of DUAL-GPO/zephyr-7b-gpo-update3-i0 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0550
* Rewards/chosen: -0.0251
* Rewards/rejected: -0.0231
* Rewards/accuracies:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with... | [
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text-generation | transformers |
## 4-bit GEMM AWQ Quantizations of maverick-llama3-8B
Using <a href="https://github.com/casper-hansen/AutoAWQ/">AutoAWQ</a> release <a href="https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.2.4">v0.2.4</a> for quantization.
Original model: https://huggingface.co/feeltheAGI/maverick-llama3-8B/
## Prompt for... | {"license": "apache-2.0", "tags": ["meta-llama/Meta-Llama-3-8B"], "datasets": ["feeltheAGI/maverick-sharegpt"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/maverick-llama3-8B-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"meta-llama/Meta-Llama-3-8B",
"conversational",
"dataset:feeltheAGI/maverick-sharegpt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-25T16:36:15+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #meta-llama/Meta-Llama-3-8B #conversational #dataset-feeltheAGI/maverick-sharegpt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
## 4-bit GEMM AWQ Quantizations of maverick-llama3-8B
Using <a href="URL release <a href="URL for quantization.
Original model: URL
## Prompt format
## AWQ Parameters
- q_group_size: 128
- w_bit: 4
- zero_point: True
- version: GEMM
## How to run
From the AutoAWQ repo here
First install autoawq pypi pac... | [
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"## How to run\n\nFrom the AutoAWQ repo here\n\nF... | [
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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. -->
# Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold3
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold3", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold3 | null | [
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| Boya1\_RMSProp\_1-e5\_20Epoch\_swin-base-window7-224-in22k\_fold3
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3110
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-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* lr\\_scheduler\\_warmup\\_ratio... | [
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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": []} | terry69/llama2-poison-10p-full | 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:
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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. -->
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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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. -->
# vit-base-patch16-224-dmae-va-U5-100bc
This model was trained from scratch on an unknown dataset.
It achieves the following resul... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-100bc", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-100bc | null | [
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| vit-base-patch16-224-dmae-va-U5-100bc
=====================================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5017
* Accuracy: 0.8667
Model description
-----------------
More information needed
Intended uses & limitati... | [
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translation | 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. -->
# sorsolingo-mt-tl-bsl-test
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-bcl](https://huggingface.co/Helsinki-NL... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-bcl", "model-index": [{"name": "sorsolingo-mt-tl-bsl-test", "results": []}]} | dapooni/sorsolingo-mt-tl-bsl-test | null | [
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|
# sorsolingo-mt-tl-bsl-test
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-bcl on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3029
- Bleu: 9.6771
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trai... | [
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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. -->
# nllb-1.3B-many-to-many-pronouncorrection-charaug
This model is a fine-tuned version of [jq/nllb-1.3B-many-to-many-step-2k](https... | {"tags": ["generated_from_trainer"], "datasets": ["generator"], "base_model": "jq/nllb-1.3B-many-to-many-step-2k", "model-index": [{"name": "nllb-1.3B-many-to-many-pronouncorrection-charaug", "results": []}]} | jq/nllb-1.3B-many-to-many-pronouncorrection-charaug | null | [
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| nllb-1.3B-many-to-many-pronouncorrection-charaug
================================================
This model is a fine-tuned version of jq/nllb-1.3B-many-to-many-step-2k on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2075
* Bleu Ach Eng: 28.371
* Bleu Lgg Eng: 30.45
* B... | [
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text-to-speech | voicecraft |
This model has been pushed to the Hub using **voicecraft**:
- Repo: https://github.com/jasonppy/VoiceCraft
- Docs: [More Information Needed] | {"library_name": "voicecraft", "tags": ["text-to-speech", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/jasonppy/VoiceCraft"} | pyp1/VoiceCraft_330M_TTSEnhanced | null | [
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#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using voicecraft:
- Repo: URL
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text-generation | transformers |
# Meta-Llama-3-8B-Instruct-64k-PoSE
<img src="https://huggingface.co/winglian/Llama-3-8b-64k-PoSE/resolve/main/output.png" />
This is a custom version of the Meta Llama 3 8B instruction-tuned language model with an extended context length of up to 64,000 tokens. It was created by merging the [meta-llama/Meta-Llama-3... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation"} | Azma-AI/Meta-Llama-3-8B-Instruct-64k-PoSE | null | [
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|
# Meta-Llama-3-8B-Instruct-64k-PoSE
<img src="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": []} | geekdom/medmistral-7b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
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text-generation | null |
## Exllama v2 Quantizations of maverick-llama3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch cont... | {"license": "apache-2.0", "tags": ["meta-llama/Meta-Llama-3-8B"], "datasets": ["feeltheAGI/maverick-sharegpt"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/maverick-llama3-8B-exl2 | null | [
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"dataset:feeltheAGI/maverick-sharegpt",
"license:apache-2.0",
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#meta-llama/Meta-Llama-3-8B #text-generation #dataset-feeltheAGI/maverick-sharegpt #license-apache-2.0 #region-us
| Exllama v2 Quantizations of maverick-llama3-8B
----------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with th... | [] | [
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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="Asubramanian19/q-FrozenLake-v1-4x4-Slippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-Slippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "met... | Asubramanian19/q-FrozenLake-v1-4x4-Slippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-25T16:54:34+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/shauray/Llama3-8B-DPO-uncensored
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "base_model": "shauray/Llama3-8B-DPO-uncensored", "quantized_by": "mradermacher"} | mradermacher/Llama3-8B-DPO-uncensored-GGUF | null | [
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"base_model:shauray/Llama3-8B-DPO-uncensored",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T16:58:11+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-shauray/Llama3-8B-DPO-uncensored #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 | 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": "beomi/Llama-3-Open-Ko-8B"} | windopper/Arc | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:beomi/Llama-3-Open-Ko-8B",
"region:us"
] | null | 2024-04-25T17:02:35+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-beomi/Llama-3-Open-Ko-8B #region-us
|
# 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 |
# 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": []} | fedora-copr/phi-2-mistral-snippets-causal | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# gte-base-zh-finetuned-main_rev_rate
This model is a fine-tuned version of [thenlper/gte-base-zh](https://huggingface.co/thenlper... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "thenlper/gte-base-zh", "model-index": [{"name": "gte-base-zh-finetuned-main_rev_rate", "results": []}]} | nop1006/gte-base-zh-finetuned-main_rev_rate | null | [
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"tensorboard",
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"text-classification",
"generated_from_trainer",
"base_model:thenlper/gte-base-zh",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T17:02:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-thenlper/gte-base-zh #license-mit #autotrain_compatible #endpoints_compatible #region-us
| gte-base-zh-finetuned-main\_rev\_rate
=====================================
This model is a fine-tuned version of thenlper/gte-base-zh on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3443
* Accuracy: 0.0807
* F1: 0.0713
Model description
-----------------
More information... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
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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"]} | aakku/tuned-mamba140m | null | [
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"mamba",
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"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #mamba #text-generation #trl #sft #arxiv-1910.09700 #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.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
I fine tune: [code-millenials-1b](https://huggingface.co/budecosystem/code-millenials-1b) on the provided dataset. The model is good at conding and small enough to allow portability, but n... | {"library_name": "transformers", "tags": []} | marco-molinari/python-code-millenials-1b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
I fine tune: code-millenials-1b on the provided dataset. The model is good at conding and small enough to allow portability, but not trained on python specifically. I fine tune on python.
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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. -->
# ellis-v2-emotion-leadership-multi-label
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", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "ellis-v2-emotion-leadership-multi-label", "results": []}]} | gsl22/ellis-v2-emotion-leadership-multi-label | null | [
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"base_model:distilbert-base-uncased",
"license:apache-2.0",
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"region:us"
] | null | 2024-04-25T17:07:33+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ellis-v2-emotion-leadership-multi-label
=======================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1172
* Accuracy: 0.9690
* F1: 0.9224
* Precision: 0.9250
* Recall: 0.9198
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | MVRL/geosynth-papersculpting-lora | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-25T17:08:59+00:00 | [
"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Asubramanian19/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | Asubramanian19/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-25T17:10:24+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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] |
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. -->
# vit-base-patch16-224-dmae-va-U5-100bcont
This model was trained from scratch on an unknown dataset.
It achieves the following re... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-100bcont", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-100bcont | null | [
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"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T17:10:33+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-dmae-va-U5-100bcont
========================================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5453
* Accuracy: 0.8667
Model description
-----------------
More information needed
Intended uses & li... | [
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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 urdu - huzaifa
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-... | {"language": ["ur"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small urdu - huzaifa", "results": []}]} | huzaifa1117/whisper-small-urdu-2 | null | [
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|
# Whisper Small urdu - huzaifa
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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": []} | ManiWavelabs/QA_FineTune_on_context | null | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | Alvaroooooooo/Reinforce-CartPole-v1 | 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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null | transformers |
# Uploaded model
- **Developed by:** baconnier
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | baconnier/finance_orpo_llama3_8B_r64_51K_GGUF | null | [
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# Uploaded model
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text-generation | null |
## Llamacpp imatrix Quantizations of maverick-llama3-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
Original model: https://huggingface.co/feeltheAGI/maverick-llama3-8B/
All quants made ... | {"license": "apache-2.0", "tags": ["meta-llama/Meta-Llama-3-8B"], "datasets": ["feeltheAGI/maverick-sharegpt"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/maverick-llama3-8B-GGUF | null | [
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| Llamacpp imatrix Quantizations of maverick-llama3-8B
----------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file (not t... | [] | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# common_voice_7_wav2vec2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_7_0"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "common_voice_7_wav2vec2", "results": [{"task": {"type": "audio-classification", "name": "Audio Classific... | aydink/common_voice_7_wav2vec2 | null | [
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| common\_voice\_7\_wav2vec2
==========================
This model is a fine-tuned version of facebook/wav2vec2-base on the common\_voice\_7\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7389
* Accuracy: 0.7130
* Precision: 0.7267
* Recall: 0.7120
* F1: 0.7154
Model description
----... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adldl/Meta-Llama-3-8B-Instruct_V1 | 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": "mistral-community/Mistral-7B-v0.2"} | Abuthahir/Mistral_7B_Classifier_2.5K | null | [
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text-to-image | diffusers |
# SoteDiffusion Wuerstchen3
Anime finetune of Würstchen V3.
Currently is in early state in training.
No commercial use thanks to StabilityAI.
# Usage
Please refer to the main model: https://huggingface.co/Disty0/sotediffusion-wuerstchen3-alpha1
## Dataset
Used the same dataset as Disty0/sote-diffusion-cascad... | {"license": "other", "pipeline_tag": "text-to-image", "license_name": "faipl-1.0-sd", "license_link": "LICENSE", "prior": ["Disty0/sotediffusion-wuerstchen3-alpha1"]} | Disty0/sotediffusion-wuerstchen3-alpha1-decoder | null | [
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|
# SoteDiffusion Wuerstchen3
Anime finetune of Würstchen V3.
Currently is in early state in training.
No commercial use thanks to StabilityAI.
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Please refer to the main model: URL
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Used the same dataset as Disty0/sote-diffusion-cascade-decoder-alpha0.
Changed the training parameters.
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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. -->
# electra-distilled-qa
This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/el... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "electra-distilled-qa", "results": []}]} | kasohrab/electra-distilled-qa | null | [
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| electra-distilled-qa
====================
This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset.
It achieves the following results on the evaluation set:
* Exact: 68.1799
* F1: 71.7591
* Total: 11873
* Hasans Exact: 70.3441
* Hasans F1: 77.5129
* Hasans Total: 5928
* Noans E... | [
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null | transformers |
# DO NOT DOWNLOAD, IT DOESNT WORK YET
<!-- 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 automatical... | {"library_name": "transformers", "tags": []} | yeswondwerr/llava-llama3-8b | null | [
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|
# DO NOT DOWNLOAD, IT DOESNT WORK YET
## 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 |
<!-- 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. -->
# Summarization-Phi-3
This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["scitldr"], "base_model": "microsoft/Phi-3-mini-128k-instruct", "model-index": [{"name": "Summarization-Phi-3", "results": []}]} | pkbiswas/Phi-3-Summarization-QLoRa | null | [
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| Summarization-Phi-3
===================
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the scitldr dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1554
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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null | transformers |
# Uploaded model
- **Developed by:** sal076
- **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"} | sal076/warc | null | [
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|
# Uploaded model
- Developed by: sal076
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"tags": ["generated_from_trainer"], "base_model": "NousResearch/Meta-Llama-3-8B", "model-index": [{"name": "llama3-8b-redmond-code290k", "results": []}]} | artificialguybr/llama3-8b-redmond-code290k | null | [
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# LLAMA 3 8B Redmond CODE 290K
Thanks to URL for the GPU Support!
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text-generation | transformers |
# KangalKhan-Alpha-Emerald-7B-Fixed
KangalKhan-Alpha-Emerald-7B-Fixed is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Yuma42/KangalKhan-Beta-Sapphire-7B](https://huggingface.co/Yuma42/KangalKhan-Beta-Sapphire-7B)
* [Yum... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Beta-Sapphire-7B", "Yuma42/KangalKhan-Ruby-7B-Fixed"], "base_model": ["Yuma42/KangalKhan-Beta-Sapphire-7B", "Yuma42/KangalKhan-Ruby-7B-Fixed"]} | Yuma42/KangalKhan-Alpha-Emerald-7B-Fixed | null | [
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... | null | 2024-04-25T17:32:10+00:00 | [] | [
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# KangalKhan-Alpha-Emerald-7B-Fixed
KangalKhan-Alpha-Emerald-7B-Fixed is a merge of the following models using LazyMergekit:
* Yuma42/KangalKhan-Beta-Sapphire-7B
* Yuma42/KangalKhan-Ruby-7B-Fixed
## Configuration
## Usage
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sentence-similarity | sentence-transformers |
# SentenceTransformer
This is a [sentence-transformers](https://www.SBERT.net) model trained on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/stsb) dataset. It maps sentences & paragraphs to a 512-dimensional dense vector space and can be used for semantic textual similarity, ... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/wikipedia-tf-idf-bow | null | [
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"loss:CosineSimilarityLoss",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-25T17:32:37+00:00 | [
"1908.10084"
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"en"
] | TAGS
#sentence-transformers #sentence-similarity #feature-extraction #loss-CosineSimilarityLoss #en #arxiv-1908.10084 #model-index #co2_eq_emissions #endpoints_compatible #region-us
| SentenceTransformer
===================
This is a sentence-transformers model trained on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 512-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, ... | [
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null | transformers |
# Uploaded model
- **Developed by:** universalml
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | universalml/lora_model | null | [
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|
# Uploaded model
- Developed by: universalml
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama 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 |
# **MlpPolicy** Agent playing **LunarLander-v2**
This is a trained model of a **MlpPolicy** 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 hugg... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "MlpPolicy", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "... | andreaostuni/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# MlpPolicy Agent playing LunarLander-v2
This is a trained model of a MlpPolicy agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-generation | transformers |
# Uploaded model
- **Developed by:** baconnier
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | baconnier/finance_orpo_llama3_8B_r64_51K | null | [
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|
# Uploaded model
- Developed by: baconnier
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama 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": []} | lleticiasilvaa/3b-synthetic-100-checkpoint-8771 | 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-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | ghunkins/juggernautXL_hyper_8step | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# llama3-8b-8000-dpo-1000
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-... | {"license": "other", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-8b-8000-dpo-1000", "results": []}]} | Yaxin1992/llama3-8b-8000-dpo-1000 | null | [
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"trl",
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
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|
# llama3-8b-8000-dpo-1000
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
<div align="center">
<h1>
MiniCPM
</h1>
</div>
<p align="center">
<a href="https://shengdinghu.notion.site/MiniCPM-c805a17c5c8046398914e47f0542095a?pvs=4" target="_blank">MiniCPM 技术报告</a><a href="https://shengdinghu.notion.site/MiniCPM-Unveiling-the-Potential-of-End-side-Large-Language-Models-d4d3a8c426424654a4e80... | {"language": ["en", "zh"], "tags": ["MiniCPM", "ModelBest", "THUNLP"]} | Isaak-Carter/MiniCPM-2B-sft-bf16 | null | [
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"THUNLP",
"conversational",
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"en",
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"region:us"
] | null | 2024-04-25T17:42:19+00:00 | [] | [
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|
MiniCPM
=========
[MiniCPM 技术报告](URL target=) [Technical Report](URL target=) |
[OmniLMM 多模态模型 Multi-modal Model](URL target=) |
[CPM-C 千亿模型试用 ~100B Model Trial](URL target=)
MiniCPM 是面壁与清华大学自然语言处理实验室共同开源的系列端侧语言大模型，主体语言模型 MiniCPM-2B 仅有 24亿（2.4B）的非词嵌入参数量。
* 经过 SFT 后，MiniCPM 在公开综合性评测集上，MiniCPM 与 Mistral-7B相近... | [
"### 评测结果 Evaluation Results\n\n\n详细的评测结果位于github仓库\n\n\nDetailed evaluation results are in github repo\n\n\n注意：我们发现使用Huggingface生成质量略差于vLLM，因此推荐使用vLLM进行测试。我们正在排查原因。\n\n\nNotice: We discovered that the quality of Huggingface generation is slightly lower than vLLM, thus benchmarking using vLLM is recommended.\nWe ar... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | Hitomiblood/CnnLearner_resnet34_chestXrayCPU | null | [
"fastai",
"region:us"
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#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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text-generation | transformers |
# Neura Chat llama3 8B
<p align="center">
<img src="neura_llama3.png" width=512 height=256 />
</p>
<!-- Provide a quick summary of what the model is/does. -->
## Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Neura company
- **Funded by:** Neura
- **Model type:**... | {"language": ["fa"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama3", "persian_llama", "neura"], "pipeline_tag": "text-generation"} | Neurai/NeuraChatLlama3_8b | null | [
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"llama",
"text-generation",
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"neura",
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"fa",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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"fa"
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|
# Neura Chat llama3 8B
<p align="center">
<img src="neura_llama3.png" width=512 height=256 />
</p>
## Model Description
- Developed by: Neura company
- Funded by: Neura
- Model type: llama3
- Language(s) (NLP): Persian
- Finetuned from model: meta-llama/Meta-Llama-3-8B-Instruct
### Model Sources
- Reposi... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** sebdg
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sebdg/llama3-8b-merged | null | [
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|
# Uploaded model
- Developed by: sebdg
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# Meta-Llama-3-8B-Instruct-miracl-mix-raft-sft-25th-apr-v1.0
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Ins... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["nthakur/miracl-raft-sft-instruct-v0.1", "nthakur/nomiracl-raft-sft-instruct-v0.1", "nthakur/miracl-en-x-raft-sft-instruct-v0.1", "nthakur/miracl-x-en... | nthakur/Meta-Llama-3-8B-Instruct-miracl-mix-raft-sft-25th-apr-v1.0 | null | [
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"safetensors",
"llama",
"alignment-handbook",
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"dataset:nthakur/miracl-en-x-raft-sft-instruct-v0.1",
"dataset:nthakur/miracl-x-en-raft-sft-instruct-v... | null | 2024-04-25T17:47:41+00:00 | [] | [] | TAGS
#peft #safetensors #llama #alignment-handbook #trl #sft #generated_from_trainer #dataset-nthakur/miracl-raft-sft-instruct-v0.1 #dataset-nthakur/nomiracl-raft-sft-instruct-v0.1 #dataset-nthakur/miracl-en-x-raft-sft-instruct-v0.1 #dataset-nthakur/miracl-x-en-raft-sft-instruct-v0.1 #base_model-meta-llama/Meta-Llama-3... | Meta-Llama-3-8B-Instruct-miracl-mix-raft-sft-25th-apr-v1.0
==========================================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the nthakur/miracl-raft-sft-instruct-v0.1, the nthakur/nomiracl-raft-sft-instruct-v0.1, the nthakur/miracl-en-x-raft-sft-in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n*... | [
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null | transformers |
# Uploaded model
- **Developed by:** sebdg
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sebdg/llama3-8b | null | [
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|
# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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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": []} | Lennard-Heuer/DPO-V1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T17:51:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | null |
# hus960/MistralTrix8x9B-Q2_K-GGUF
This model was converted to GGUF format from [`Kquant03/MistralTrix8x9B`](https://huggingface.co/Kquant03/MistralTrix8x9B) 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://huggingfa... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | hus960/MistralTrix8x9B-Q2_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T17:52:11+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# hus960/MistralTrix8x9B-Q2_K-GGUF
This model was converted to GGUF format from 'Kquant03/MistralTrix8x9B' 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:... | [
"# hus960/MistralTrix8x9B-Q2_K-GGUF\nThis model was converted to GGUF format from 'Kquant03/MistralTrix8x9B' 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... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# hus960/MistralTrix8x9B-Q2_K-GGUF\nThis model was converted to GGUF format from 'Kquant03/MistralTrix8x9B' 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... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# hus960/MistralTrix8x9B-Q2_K-GGUF\nThis model was converted to GGUF format from 'Kquant03/MistralTrix8x9B' 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 UR... |
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": []} | Ynir/gemma-Code-Instruct-Finetune-idk_v1_big | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T17:54:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
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"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
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