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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - Kajalbaria/autotrain-6wqjb-p3q03
<Gallery />
## Model description
These are Kajalbaria/autotrain-6wqjb-p3q03 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text enc... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "<artist painting>"} | Kajalbaria/autotrain-6wqjb-p3q03 | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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|
# AutoTrain SDXL LoRA DreamBooth - Kajalbaria/autotrain-6wqjb-p3q03
<Gallery />
## Model description
These are Kajalbaria/autotrain-6wqjb-p3q03 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special... | [
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text-generation | transformers | # jeiku/Average_Normie_v2_l3_8B AWQ
- Model creator: [jeiku](https://huggingface.co/jeiku)
- Original model: [Average_Normie_v2_l3_8B](https://huggingface.co/jeiku/Average_Normie_v2_l3_8B)
## Model Summary
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Th... | {"library_name": "transformers", "tags": ["mergekit", "merge", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": ["ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B", "vicgalle/Roleplay-Llama-3-8B", "cgato/L3-TheSpice-8b-v0.1.3", "ResplendentAI/Kei_Llama3_8B"], "pipeline_tag": "t... | solidrust/Average_Normie_v2_l3_8B-AWQ | null | [
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- Model creator: jeiku
- Original model: Average_Normie_v2_l3_8B
## Model Summary
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This model was merged using the Model Stock merge method using ResplendentAI/Kei_Llama3_8B as a base.
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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. -->
# codet5-770m-running
This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-77... | {"license": "bsd-3-clause", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5p-770m", "model-index": [{"name": "codet5-770m-running", "results": []}]} | dtruong46me/codet5-770m-running | null | [
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|
# codet5-770m-running
This model is a fine-tuned version of Salesforce/codet5p-770m on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-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. -->
# HSE_PRAVO_complexity_classifier_large40steps
This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface... | {"tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-large", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_large40steps", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_large40steps | null | [
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|
# HSE_PRAVO_complexity_classifier_large40steps
This model is a fine-tuned version of ai-forever/ruBert-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suke0327/whisper-large_front_en | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# arbert_arabic_dialect_identification
This model is a fine-tuned version of [lafifi-24/arbert_arabic_dialect_identification](http... | {"tags": ["generated_from_trainer"], "base_model": "lafifi-24/arbert_arabic_dialect_identification", "model-index": [{"name": "arbert_arabic_dialect_identification", "results": []}]} | yemen2016/arbert_arabic_dialect_identification | null | [
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| arbert\_arabic\_dialect\_identification
=======================================
This model is a fine-tuned version of lafifi-24/arbert\_arabic\_dialect\_identification on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7977
* F1-score: 0.5948
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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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. -->
# acoustic_model0_cv_17_fr_XLSR-53
This model was trained from scratch on the Common Voice 17 dataset.
It achieves the following r... | {"language": ["fr"], "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_17_0"], "model-index": [{"name": "acoustic_model0_cv_17_fr_XLSR-53", "results": []}]} | SemValX/wav2vec2-standard_model0-xlsr-53-fr-colab | null | [
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|
# acoustic_model0_cv_17_fr_XLSR-53
This model was trained from scratch on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4810
- eval_wer: 0.3881
- eval_runtime: 167.4913
- eval_samples_per_second: 6.538
- eval_steps_per_second: 0.818
- epoch: 11.0465
- step: 160... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - computational-mama/underwater-humanoid
<Gallery />
## Model description
### These are computational-mama/underwater-humanoid LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A <s0><s1> character, An underwater humanoid that floats surrounded by coral, fish and algae, with translucent skin, no genus, no nose, a soft body, ... | computational-mama/underwater-humanoid | null | [
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"license:openrail++",
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|
# SDXL LoRA DreamBooth - computational-mama/underwater-humanoid
<Gallery />
## Model description
### These are computational-mama/underwater-humanoid LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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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. -->
# 2504separado2
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504separado2", "results": []}]} | adriansanz/2504separado2 | null | [
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| 2504separado2
=============
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6044
* Accuracy: 0.8529
* Precision: 0.8532
* Recall: 0.8529
* F1: 0.8529
* Ratio: 0.4874
Model description
----------... | [
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null | peft | ## Training procedure
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - computational-mama/tardispace
<Gallery />
## Model description
### These are computational-mama/tardispace LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`t... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A <s0><s1> character pink green tardigrade floating in an empty curvilinear space", "output": {"url": "image-0.png"}}, {"text": "A <s0><s1> character... | computational-mama/tardispace | null | [
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|
# SDXL LoRA DreamBooth - computational-mama/tardispace
<Gallery />
## Model description
### These are computational-mama/tardispace LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download 'tardispa... | [
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text-generation | transformers |
# Llama3-portuguese-luana-8b-instruct
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/llama3-luana.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
This model was trained with a superset of 290,000 chat in Portuguese.
The mode... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["portugues", "portuguese", "QA", "instruct"], "datasets": ["rhaymison/superset"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "model-index": [{"name": "Llama3-portuguese-luana-8b-instruct",... | rhaymison/Llama3-portuguese-luana-8b-instruct | null | [
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| Llama3-portuguese-luana-8b-instruct
===================================
This model was trained with a superset of 290,000 chat in Portuguese.
The model comes to help fill the gap in models in Portuguese. Tuned from the Llama3 8B, the model was adjusted mainly for chat.
How to use
==========
#... | [
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text-generation | transformers |
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null | diffusers |
# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **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"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | xiaoliy2/llama-3-8b-ft-model-1 | null | [
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|
# Uploaded model
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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. -->
# 2504separado3
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504separado3", "results": []}]} | adriansanz/2504separado3 | null | [
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| 2504separado3
=============
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6752
* Accuracy: 0.8445
* Precision: 0.8451
* Recall: 0.8445
* F1: 0.8445
* Ratio: 0.5210
Model description
----------... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_mnli_hans_16K
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/be... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_mnli_hans_16K", "results": []}]} | Elkelouizajo/bert_mnli_hans | null | [
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|
# results_mnli_hans_16K
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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null | transformers |
# Uploaded model
- **Developed by:** Rebecca19990101
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Rebecca19990101/Llama3-Petro-Instruct-adapters | null | [
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|
# Uploaded model
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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-410m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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. -->
# 0.0_ablation_5iters_bs256_useresponse_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset"], "base_model": "ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_2", "model-index": [{"name": "0.0_ablation_5iters_bs256_us... | ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_3 | null | [
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"license:mit"... | null | 2024-04-25T11:10:09+00:00 | [] | [] | TAGS
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# 0.0_ablation_5iters_bs256_useresponse_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_2 on the ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information nee... | [
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null | null | # Slimplus Keto Gummies Erfahrungen Deutschland Test und Einnahme Preis, kaufen
SlimPlus Stoffwechsel Kapseln Deutschland Erfahrungen Slim Plus Keto Gummies wurden mit dem Ziel entwickelt, Menschen beim Abnehmen zu helfen. Apfelessig mit Muttermilch ist die Hauptzutat in diesem Produkt. Das Wort für „hinzufügen“ ist d... | {} | VKapseln475/SlimplusKeto888 | null | [
"region:us"
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#region-us
| # Slimplus Keto Gummies Erfahrungen Deutschland Test und Einnahme Preis, kaufen
SlimPlus Stoffwechsel Kapseln Deutschland Erfahrungen Slim Plus Keto Gummies wurden mit dem Ziel entwickelt, Menschen beim Abnehmen zu helfen. Apfelessig mit Muttermilch ist die Hauptzutat in diesem Produkt. Das Wort für „hinzufügen“ ist d... | [
"# Slimplus Keto Gummies Erfahrungen Deutschland Test und Einnahme Preis, kaufen\n\nSlimPlus Stoffwechsel Kapseln Deutschland Erfahrungen Slim Plus Keto Gummies wurden mit dem Ziel entwickelt, Menschen beim Abnehmen zu helfen. Apfelessig mit Muttermilch ist die Hauptzutat in diesem Produkt. Das Wort für „hinzufügen... | [
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null | null | # OpenELM-GGUF
- Original model: [OpenELM](https://huggingface.co/apple/OpenELM)
<!-- description start -->
## Description
This repo contains GGUF format model files for [OpenELM](https://huggingface.co/apple/OpenELM).
<!-- description end -->
<!-- README_GGUF.md-about-gguf start -->
### About GGUF
GGUF is a new for... | {"license": "other", "tags": ["GGUF"], "license_name": "apple-sample-code-license", "license_link": "LICENSE", "quantized_by": "andrijdavid"} | LiteLLMs/OpenELM-GGUF | null | [
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#GGUF #arxiv-2404.14619 #license-other #region-us
| # OpenELM-GGUF
- Original model: OpenELM
## Description
This repo contains GGUF format model files for OpenELM.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
Here is an incomplete list of clients and libraries... | [
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "microsoft/resnet-18"} | pintu5057/resnet18-finetuned-lora-food101 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | null | # OpenELM-3B-Instruct-GGUF
- Original model: [OpenELM-3B-Instruct](https://huggingface.co/apple/OpenELM-3B-Instruct)
<!-- description start -->
## Description
This repo contains GGUF format model files for [OpenELM-3B-Instruct](https://huggingface.co/apple/OpenELM-3B-Instruct).
<!-- description end -->
<!-- README_G... | {"license": "other", "tags": ["GGUF"], "license_name": "apple-sample-code-license", "license_link": "LICENSE", "quantized_by": "andrijdavid"} | LiteLLMs/OpenELM-3B-Instruct-GGUF | null | [
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#GGUF #arxiv-2404.14619 #license-other #region-us
| # OpenELM-3B-Instruct-GGUF
- Original model: OpenELM-3B-Instruct
## Description
This repo contains GGUF format model files for OpenELM-3B-Instruct.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
Here is an inco... | [
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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_10Epoch_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_10Epoch_swin-base-window7-224-in22k_fold3", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold3 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_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: 1.1325
*... | [
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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. -->
# 2504separado4
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504separado4", "results": []}]} | adriansanz/2504separado4 | null | [
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| 2504separado4
=============
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7346
* Accuracy: 0.8403
* Precision: 0.8451
* Recall: 0.8403
* F1: 0.8398
* Ratio: 0.5588
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": []} | PakinClean/git-large-coco-food | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct
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", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct", "results": []}]} | CustomerInsightsMedicalAnalytics/llama3_training_files | null | [
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This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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. -->
# CS505_COQE_viT5_train_Instruction0_SAPOL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SAPOL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SAPOL_v1_h1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SAPOL_v1_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-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-410m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-410m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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null | transformers | ## About
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<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a w... | {"language": ["en"], "license": "cc-by-nc-3.0", "library_name": "transformers", "base_model": "x2bee/POLAR-14B-v0.1", "quantized_by": "mradermacher"} | mradermacher/POLAR-14B-v0.1-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.
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-----
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Hastagaras/L3-Pilter-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "library_name": "transformers", "base_model": "Hastagaras/L3-Pilter-8B", "quantized_by": "mradermacher"} | mradermacher/L3-Pilter-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.
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If you are unsure how to use GGUF 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. -->
# CS505_COQE_viT5_train_Instruction0_SAPOL_v2_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SAPOL_v2_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SAPOL_v2_h1 | null | [
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"region:us"
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|
# CS505_COQE_viT5_train_Instruction0_SAPOL_v2_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-generation | 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": []} | DevsDoCode/LLama-3-8b-Uncensored | null | [
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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_5iters_bs256_useresponse_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_2", "model-index": [{"name": "0.001_ablation_5iters_bs256_useresponse_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_3 | null | [
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... | null | 2024-04-25T11:26:59+00:00 | [] | [] | TAGS
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# 0.001_ablation_5iters_bs256_useresponse_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | steve1989/internLM-7b-gptq-4bit | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 2504separado5
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504separado5", "results": []}]} | adriansanz/2504separado5 | null | [
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| 2504separado5
=============
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6571
* Accuracy: 0.8487
* Precision: 0.8491
* Recall: 0.8487
* F1: 0.8487
* Ratio: 0.5168
Model description
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
See details: https://github.com/AndrewZhe/lawyer-llama | {"language": ["zh"], "license": "llama2"} | pkupie/lawyer-llama-13b-v2 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama3-orchamath-lora
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-orchamath-lora", "results": []}]} | fangzhaoz/llama3-orchamath-lora | null | [
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|
# llama3-orchamath-lora
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | Nikeytas/videomae-base-finetuned-ucf101-subset | null | [
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| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4454
* Accuracy: 0.8462
Model description
-----------------
More information needed
... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2-absa-laptops
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-absa-laptops", "results": []}]} | Shakhovak/Mistral-7B-Instruct-v0.2-absa-laptops | null | [
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| Mistral-7B-Instruct-v0.2-absa-laptops
=====================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0235
Model description
-----------------
More information needed
Intend... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | abdullahcavuss/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T11:29:49+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suke0327/whisper-large_odd_en | 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. -->
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- **Funded by [optional]:** [More Information Needed]
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-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"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | xiaoliy2/llama-2-7b-ft-model-1 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** YavuzAkbay
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["TIGER-Lab/MathInstruct", "ArtifactAI/arxiv-math-instruct-50k"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | YavuzAkbay/experiment0.2 | null | [
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|
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-nli_cot
This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-v0.1-GPTQ", "model-index": [{"name": "mistral-7b-nli_cot", "results": []}]} | jd0g/Mistral-7B-NLI-v0.1 | null | [
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| mistral-7b-nli\_cot
===================
This model is a fine-tuned version of TheBloke/Mistral-7B-v0.1-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4930
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gagan-zykrr/quantized | null | [
"transformers",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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_2
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_1", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_useresponse_iter_2", "result... | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_2 | null | [
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# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | polyatree/distilbert-base-uncased-finetuned-emotion | null | [
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"base_model:distilbert-base-uncased",
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"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T11:37:59+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3484
* Accuracy: 0.8995
* F1: 0.8970
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-nli_cot
This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-v0.1-GPTQ", "model-index": [{"name": "mistral-7b-nli_cot", "results": []}]} | jd0g/mistral-7b-nli_cot | null | [
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"base_model:TheBloke/Mistral-7B-v0.1-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T11:38:01+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-v0.1-GPTQ #license-apache-2.0 #region-us
| mistral-7b-nli\_cot
===================
This model is a fine-tuned version of TheBloke/Mistral-7B-v0.1-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4930
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: 8\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | null | See details: https://github.com/AndrewZhe/lawyer-llama | {"language": ["zh"], "license": "apache-2.0"} | pkupie/marriage_law_retrieval | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenTrue
This model is a fine-tuned version of [opena... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenTrue", "results": []}]} | Holarissun/RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenTrue | null | [
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"base_model:openai-community/gpt2-large",
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] | null | 2024-04-25T11:43:22+00:00 | [] | [] | TAGS
#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-openai-community/gpt2-large #license-mit #region-us
| RM-HH-GPT2Large\_helpful\_gpt3\_loraR64\_40000\_gpt2-large\_shuffleTrue\_extractchosenTrue
==========================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on the None dataset.
It achieves the following results on the evaluati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1.41e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | null |
# Suzume-llama3-8b-multilingual-GGUF
- This is quantized version of [lightblue/suzume-llama-3-8B-multilingual](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual) created using llama.cpp
# Model Description
This Suzume 8B, a multilingual finetune of Llama 3 ([meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["generated_from_trainer"], "license_name": "llama-3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/raw/main/LICENSE", "base_model": "lightblue/suzume-llama-3-8B-multilingual", "pipeline_tag": "text-generation", "model-index": [{"name": "lightblue/suzume-llama... | QuantFactory/suzume-llama-3-8B-multilingual-GGUF | null | [
"gguf",
"generated_from_trainer",
"text-generation",
"base_model:lightblue/suzume-llama-3-8B-multilingual",
"license:other",
"region:us"
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#gguf #generated_from_trainer #text-generation #base_model-lightblue/suzume-llama-3-8B-multilingual #license-other #region-us
| Suzume-llama3-8b-multilingual-GGUF
==================================
* This is quantized version of lightblue/suzume-llama-3-8B-multilingual created using URL
Model Description
=================
This Suzume 8B, a multilingual finetune of Llama 3 (meta-llama/Meta-Llama-3-8B-Instruct).
Llama 3 has exhibited exce... | [
"### Training hyperparameters\n\n\nThis model was trained using 4 x A100 (80GB) for roughly 2.5 hours.\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* ... | [
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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. -->
# RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleFalse_extractchosenFalse
This model is a fine-tuned version of [ope... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleFalse_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleFalse_extractchosenFalse | null | [
"peft",
"safetensors",
"trl",
"reward-trainer",
"generated_from_trainer",
"base_model:openai-community/gpt2-large",
"license:mit",
"region:us"
] | null | 2024-04-25T11:45:24+00:00 | [] | [] | TAGS
#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-openai-community/gpt2-large #license-mit #region-us
| RM-HH-GPT2Large\_helpful\_gpt3\_loraR64\_40000\_gpt2-large\_shuffleFalse\_extractchosenFalse
============================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on the None dataset.
It achieves the following results on the eval... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1.41e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers |
# Gemma 2B Translation v0.131
- Eval Loss: `0.99568`
- Train Loss: `0.88993`
- lr: `6e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos><start_of_turn>user
Translate into Korean:Hamsters don't eat cats.<end_of_turn>
<start_of_turn>model
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos><start_of... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "datasets": ["traintogpb/aihub-flores-koen-integrated-sparta-30k"], "widget": [{"messages": [{"role": "user", "content": "Translate into Korean:Hamsters don't eat cats."}]}], "ba... | lemon-mint/gemma-2b-translation-v0.131 | null | [
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"base_model:google/gemma-1.1-2b-it",
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"autotrain_compatible",
"endpoints_comp... | null | 2024-04-25T11:49:37+00:00 | [] | [
"ko"
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|
# Gemma 2B Translation v0.131
- Eval Loss: '0.99568'
- Train Loss: '0.88993'
- lr: '6e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
- Developed by: 'lemon-mint'
- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model:... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | AGI-CEO/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T11:50:27+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-generation | transformers | Quantizations of https://huggingface.co/jeiku/Chaos_RP_l3_8B
# From original readme
... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "jeiku", "Chaos_RP_l3_8B"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/Chaos_RP_l3_8B-imatrix-GGUF | null | [
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"imatrix",
"jeiku",
"Chaos_RP_l3_8B",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-25T11:52:12+00:00 | [] | [
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| Quantizations of URL
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/4-alokk/gemma-7b-English-to-Hinglish
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do... | {"language": ["en"], "library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "base_model": "4-alokk/gemma-7b-English-to-Hinglish", "quantized_by": "mradermacher"} | mradermacher/gemma-7b-English-to-Hinglish-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.
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If you are unsure how to use GGUF file... | [] | [
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null | null |
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null | transformers |
# Uploaded model
- **Developed by:** rbojja
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rbojja/llama3_telugu_4bit_gguf | null | [
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|
# Uploaded model
- Developed by: rbojja
- 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 | mlx |
# mlx-community/MiniCPM-2B-sft-bf16-4bit
This model was converted to MLX format from [`openbmb/MiniCPM-2B-sft-bf16`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co//Users/gokdenizgulmez/Desktop/MiniCPM-2B-sft-bf16) for more details on the model.
## Use with mlx
```bash
pi... | {"tags": ["mlx"]} | Isaak-Carter/minicpm-2b-safetensors-q4 | null | [
"mlx",
"safetensors",
"minicpm",
"region:us"
] | null | 2024-04-25T11:55:14+00:00 | [] | [] | TAGS
#mlx #safetensors #minicpm #region-us
|
# mlx-community/MiniCPM-2B-sft-bf16-4bit
This model was converted to MLX format from ['openbmb/MiniCPM-2B-sft-bf16']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enmr-st1-mde | null | [
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# Model Card for Model ID
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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.
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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. -->
# trainer
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "trainer", "results": []}]} | Surabhi-K/llama_3_epochs4-31 | null | [
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|
# trainer
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0809
- eval_runtime: 37.3984
- eval_samples_per_second: 0.695
- eval_steps_per_second: 0.348
- epoch: 4.0
- step: 472
## Model description
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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 Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "n... | Dua020/whisper-large-v3 | null | [
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2859
* Wer: 34.5382
Model description
-----------------
More information needed
In... | [
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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": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-lora-clf-1 | null | [
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|
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### Model Description
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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_chestXrayTPU | null | [
"fastai",
"region:us"
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#fastai #region-us
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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translation | transformers |
# LLaMA 2 7B - Toxicator RU
This fine-tuned model based on [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), it utilizes [evilfreelancer/toxicator-ru](https://huggingface.co/datasets/evilfreelancer/toxicator-ru) dataset created from samples in [s-nlp/russe_detox_2022](https://gith... | {"language": ["ru"], "license": "llama2", "tags": ["toxify", "detoxify"], "datasets": ["evilfreelancer/toxicator-ru"], "pipeline_tag": "translation"} | evilfreelancer/llama2-7b-toxicator-ru | null | [
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"region:us"
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|
# LLaMA 2 7B - Toxicator RU
This fine-tuned model based on meta-llama/Llama-2-7b-chat-hf, it utilizes evilfreelancer/toxicator-ru dataset created from samples in s-nlp/russe_detox_2022 project.
Model was tuned just for lulz for experimenting with TorchTune tool.
## Links
* URL - GitHub repository with train script... | [
"# LLaMA 2 7B - Toxicator RU\n\nThis fine-tuned model based on meta-llama/Llama-2-7b-chat-hf, it utilizes evilfreelancer/toxicator-ru dataset created from samples in s-nlp/russe_detox_2022 project.\n\nModel was tuned just for lulz for experimenting with TorchTune tool.",
"## Links\n\n* URL - GitHub repository wit... | [
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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-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "... | aw-infoprojekt/Reinforce-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# 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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text-generation | transformers |
!!! A new version of the model has been released. I didn’t find any problems with word duplication, but I can’t promise anything. https://huggingface.co/SolidSnacke/Llama-3-Soliloquy-8B-v1.5-64k-i-GGUF
Edit: Currently this model has a problem with repeating words. That is, at some point you may experience duplication... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["llama", "text-generation-inference"], "pipeline_tag": "text-generation"} | SolidSnacke/Llama-3-Soliloquy-8B-i-GGUF | null | [
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#transformers #gguf #llama #text-generation-inference #text-generation #en #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us
|
!!! A new version of the model has been released. I didn’t find any problems with word duplication, but I can’t promise anything. URL
Edit: Currently this model has a problem with repeating words. That is, at some point you may experience duplication, like: passing by the table, he caught a red red red red red red...... | [] | [
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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": []} | ripaaiii/fine-tune-C1-stage1_15epoch_besar | null | [
"transformers",
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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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- Language(s) (NLP):
- License... | [
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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_10Epoch_swin-base-window7-224-in22k_fold4
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_10Epoch_swin-base-window7-224-in22k_fold4", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold4 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-base-window7-224-in22k\_fold4
=================================================================
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: 1.2264
*... | [
"### 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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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. -->
# dpo_harmlessharmless_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_harmlessharmless_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_harmlessharmless_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation da... | [
"# dpo_harmlessharmless_human_gamma0.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Keetawan/image_captioning_1 | null | [
"transformers",
"safetensors",
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#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
LLM for using at khoj project | {"license": "llama2"} | ajinkgupta/khoj-7b | null | [
"license:llama2",
"region:us"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | happylayers/sc20 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# 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": []} | m-gopichand/x-small | 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. -->
# dpo_harmlessharmless_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned versio... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_harmlessharmless_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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|
# dpo_harmlessharmless_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
"# dpo_harmlessharmless_human_gamma100.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
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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. -->
# dpo_harmlessharmless_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_harmlessharmless_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_harmlessharmless_human_gamma5.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation da... | [
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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. -->
# RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [open... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse | null | [
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| RM-HH-GPT2Large\_helpful\_gpt3\_loraR64\_40000\_gpt2-large\_shuffleTrue\_extractchosenFalse
===========================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on the None dataset.
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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. -->
# dpo_harmlessharmless_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_harmlessharmless_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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# dpo_harmlessharmless_human_gamma1.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation da... | [
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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. -->
# dpo_harmlessharmless_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_harmlessharmless_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06 | null | [
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# dpo_harmlessharmless_human_gamma30.0_beta0.1_subset-1_modelmistral7b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation d... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enmr-st2-mde | 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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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | nvasko/a2c-PandaReachDense-v3 | null | [
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# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | transformers |
# Uploaded model
- **Developed by:** ansumanpandey
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ansumanpandey/sql_generation_using_llama3 | null | [
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|
# Uploaded model
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<img src="URL width="200"/>
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null | null |
# hus960/DownSide-2x7B-Toxic-TOM-RP-TruthyDPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`Undi95/DownSide-2x7B-Toxic-TOM-RP-TruthyDPO`](https://huggingface.co/Undi95/DownSide-2x7B-Toxic-TOM-RP-TruthyDPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo... | {"tags": ["llama-cpp", "gguf-my-repo"]} | hus960/DownSide-2x7B-Toxic-TOM-RP-TruthyDPO-Q4_K_M-GGUF | null | [
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|
# hus960/DownSide-2x7B-Toxic-TOM-RP-TruthyDPO-Q4_K_M-GGUF
This model was converted to GGUF format from 'Undi95/DownSide-2x7B-Toxic-TOM-RP-TruthyDPO' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
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Install URL through brew.
Invoke the URL se... | [
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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:
* [beomi/gemma-ko-2b](https://huggingface.co/b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beomi/gemma-ko-2b", "unsloth/gemma-2b"]} | mergekit-community/mergekit-slerp-lvhhlmq | 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:
* beomi/gemma-ko-2b
* unsloth/gemma-2b
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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... | {"license": "mit", "library_name": "transformers", "tags": ["trl", "sft"]} | kishorea/finetuned_qa | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** myrulezzzz
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | myrulezzzz/llama38b_alpaca | null | [
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# Uploaded model
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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![Twitter](URL
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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:
* [yam-peleg/Experiment26-7B](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["yam-peleg/Experiment26-7B", "gordicaleksa/YugoGPT"]} | Stopwolf/Eksperiment02-7B-slerp | 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:
* yam-peleg/Experiment26-7B
* gordicaleksa/YugoGPT
### Configuration
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image-to-text | null |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
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## Model
llava-phi-3-mini is a LLaVA model fine-tuned fr... | {"datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-to-text"} | xtuner/llava-phi-3-mini-gguf | null | [
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![Generic badge](URL
Model
-----
llava-phi-3-mini is a LLaVA model fine-tuned from microsoft/Phi-3-mini-4k-instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
Note: This model is in GGUF format.
Resources:
* GitHub: xtuner
* Official LLaVA format model: xtu... | [
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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": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-lora-clf-2 | null | [
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- Finetuned from model [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** Nathan757
- **License:** apache-2.0
- **Finetuned from model :** artificialguybr/llama3-8b-alpacadata-ptbr
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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "artificialguybr/llama3-8b-alpacadata-ptbr"} | Nathan757/noticiagen1 | null | [
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# Uploaded model
- Developed by: Nathan757
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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": []} | BeardedMonster/Cerebras-GPT-590M | 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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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. -->
# model_dl_1b
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "model_dl_1b", "results": []}]} | 21bce239/model_dl_1b | null | [
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|
# model_dl_1b
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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": []} | 21bce239/tokenizer_dl_1b | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T12:32:01+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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 Details",
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"## 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- ... | [
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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:
* [beomi/gemma-ko-7b](https://huggingface.co/b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beomi/gemma-ko-7b", "unsloth/gemma-7b"]} | mergekit-community/mergekit-slerp-dclolyo | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mergekit",
"merge",
"base_model:beomi/gemma-ko-7b",
"base_model:unsloth/gemma-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T12:32:25+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mergekit #merge #base_model-beomi/gemma-ko-7b #base_model-unsloth/gemma-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # 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:
* beomi/gemma-ko-7b
* unsloth/gemma-7b
### Configuration
The following YAML confi... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* beomi/gemma-ko-7b\n* unsloth/gemma-7b",
"### Configura... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #mergekit #merge #base_model-beomi/gemma-ko-7b #base_model-unsloth/gemma-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Me... | [
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