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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Experiment29Multi_verse_model
T3qm7xNeuralsirkrishna_Experiment29Multi_verse_model is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Experiment29Multi_verse_model-7B](https://huggingface.co/a... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Experiment29Multi_verse_model", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Experiment29Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment29Multi_verse_model | null | [
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"base_model:automerger/Experiment29Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# T3qm7xNeuralsirkrishna_Experiment29Multi_verse_model
T3qm7xNeuralsirkrishna_Experiment29Multi_verse_model is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Experiment29Multi_verse_model-7B
## Usage
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text-generation | transformers |
# Experiment26Neuralsirkrishna_Strangemerges_32Ogno
Experiment26Neuralsirkrishna_Strangemerges_32Ogno is a merge of the following models:
* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
* [automerger/Strangemerges_32Ogno-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Strangemerges_32Ogno", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Strangemerges_32Ogno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_... | MaziyarPanahi/Experiment26Neuralsirkrishna_Strangemerges_32Ogno | null | [
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|
# Experiment26Neuralsirkrishna_Strangemerges_32Ogno
Experiment26Neuralsirkrishna_Strangemerges_32Ogno is a merge of the following models:
* automerger/Experiment26Neuralsirkrishna-7B
* automerger/Strangemerges_32Ogno-7B
## Usage
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text-generation | transformers |
# MeliodasPercival_01_MeliodasT3q
MeliodasPercival_01_MeliodasT3q is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/MeliodasT3q-7B](https://huggingface.co/automerger/MeliodasT3q-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_MeliodasT3q", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/MeliodasT3q-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/MeliodasPercival_01_MeliodasT3q | null | [
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"base_model:automerger/MeliodasT3q-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T03:56:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/MeliodasT3q-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_MeliodasT3q
MeliodasPercival_01_MeliodasT3q is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/MeliodasT3q-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# Experiment28T3q_OgnoExperiment27
Experiment28T3q_OgnoExperiment27 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/OgnoExperiment27-7B](https://huggingface.co/automerger/OgnoExperiment27-7B)
## 💻 Usage
```python
!pip insta... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_OgnoExperiment27", "base_model": ["automerger/Experiment28T3q-7B", "automerger/OgnoExperiment27-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantize... | MaziyarPanahi/Experiment28T3q_OgnoExperiment27 | null | [
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"base_model:automerger/OgnoExperiment27-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T03:56:07+00:00 | [] | [] | TAGS
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|
# Experiment28T3q_OgnoExperiment27
Experiment28T3q_OgnoExperiment27 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/OgnoExperiment27-7B
## Usage
| [
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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. -->
# en_vi_vinai-translate-en2vi-v2_half_doc_news_train
This model is a fine-tuned version of [vinai/vinai-translate-en2vi-v2](https:... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-en2vi-v2", "model-index": [{"name": "en_vi_vinai-translate-en2vi-v2_half_doc_news_train", "results": []}]} | yuufong/en_vi_vinai-translate-en2vi-v2_half_doc_news_train | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:02:28+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-en2vi-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# en_vi_vinai-translate-en2vi-v2_half_doc_news_train
This model is a fine-tuned version of vinai/vinai-translate-en2vi-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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text-generation | transformers | # Description
This model reconstructs fictional narrative stories into the DAGGER JSON format. See more information about the [DAGGER dataset](https://github.com/dagger-realms/dagger).
## Example Usage
Make sure you have the latest versions of `torch`, `transformers`, `quanto`, and `accelerate` with:
```bash
pip ins... | {"tags": ["datadreamer", "datadreamer-0.28.0", "synthetic", "text-generation"], "base_model": "LouisML/tinyllama_32k", "pipeline_tag": "text-generation", "inference": false} | dagger-realms/narrative_to_dagger | null | [
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| # Description
This model reconstructs fictional narrative stories into the DAGGER JSON format. See more information about the DAGGER dataset.
## Example Usage
Make sure you have the latest versions of 'torch', 'transformers', 'quanto', and 'accelerate' with:
---
This model was trained with a synthetic dataset wi... | [
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text-generation | transformers | <!-- header start -->
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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. -->
# en_vi_vinai-translate-en2vi-v2_news_train
This model is a fine-tuned version of [vinai/vinai-translate-en2vi-v2](https://hugging... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-en2vi-v2", "model-index": [{"name": "en_vi_vinai-translate-en2vi-v2_news_train", "results": []}]} | yuufong/en_vi_vinai-translate-en2vi-v2_news_train | null | [
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#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-en2vi-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# en_vi_vinai-translate-en2vi-v2_news_train
This model is a fine-tuned version of vinai/vinai-translate-en2vi-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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mask-generation | transformers |
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### Model Description
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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. -->
# vi_en_vinai-translate-vi2en-v2_conv_train
This model is a fine-tuned version of [vinai/vinai-translate-vi2en-v2](https://hugging... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-vi2en-v2", "model-index": [{"name": "vi_en_vinai-translate-vi2en-v2_conv_train", "results": []}]} | yuufong/vi_en_vinai-translate-vi2en-v2_conv_train | null | [
"transformers",
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"mbart",
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"generated_from_trainer",
"base_model:vinai/vinai-translate-vi2en-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:07:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-vi2en-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# vi_en_vinai-translate-vi2en-v2_conv_train
This model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# vi_en_vinai-translate-vi2en-v2_conv_train\n\nThis model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
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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. -->
# vi_en_vinai-translate-vi2en-v2_doc_train
This model is a fine-tuned version of [vinai/vinai-translate-vi2en-v2](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-vi2en-v2", "model-index": [{"name": "vi_en_vinai-translate-vi2en-v2_doc_train", "results": []}]} | yuufong/vi_en_vinai-translate-vi2en-v2_doc_train | null | [
"transformers",
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"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:vinai/vinai-translate-vi2en-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:09:49+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-vi2en-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# vi_en_vinai-translate-vi2en-v2_doc_train
This model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# vi_en_vinai-translate-vi2en-v2_doc_train\n\nThis model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
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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": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-6_sweep_1_pgd_layers_29 | null | [
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"region:us"
] | null | 2024-04-07T04:11:34+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"## Model Details",
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text-generation | transformers |
# Experiment26Yamshadow_Experiment24Experiment26
Experiment26Yamshadow_Experiment24Experiment26 is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Experiment24Experiment26-7B](https://huggingface.co/automerger/Experimen... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Experiment24Experiment26", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Experiment24Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/Experiment26Yamshadow_Experiment24Experiment26 | null | [
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"base_model:automerger/Experiment26Yamshadow-7B",
"base_model:automerger/Experiment24Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:11:36+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/Experiment24Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_Experiment24Experiment26
Experiment26Yamshadow_Experiment24Experiment26 is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Experiment24Experiment26-7B
## Usage
| [
"# Experiment26Yamshadow_Experiment24Experiment26\n\nExperiment26Yamshadow_Experiment24Experiment26 is a merge of the following models:\n* automerger/Experiment26Yamshadow-7B\n* automerger/Experiment24Experiment26-7B",
"## Usage"
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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. -->
# vi_en_vinai-translate-vi2en-v2_docs_news_train
This model is a fine-tuned version of [vinai/vinai-translate-vi2en-v2](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-vi2en-v2", "model-index": [{"name": "vi_en_vinai-translate-vi2en-v2_docs_news_train", "results": []}]} | yuufong/vi_en_vinai-translate-vi2en-v2_docs_news_train | null | [
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"generated_from_trainer",
"base_model:vinai/vinai-translate-vi2en-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:11:45+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-vi2en-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# vi_en_vinai-translate-vi2en-v2_docs_news_train
This model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
"# vi_en_vinai-translate-vi2en-v2_docs_news_train\n\nThis model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informatio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/CalmExperiment-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Experiment26-7B", "MaziyarPanahi/Calme-7B-Instruct-v0.9"], "base_model": "allknowingroger/CalmExperiment-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/CalmExperiment-7B-slerp-GGUF | null | [
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#transformers #gguf #merge #mergekit #lazymergekit #yam-peleg/Experiment26-7B #MaziyarPanahi/Calme-7B-Instruct-v0.9 #en #base_model-allknowingroger/CalmExperiment-7B-slerp #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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. -->
# vi_en_vinai-translate-vi2en-v2_half_doc_news_train
This model is a fine-tuned version of [vinai/vinai-translate-vi2en-v2](https:... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-vi2en-v2", "model-index": [{"name": "vi_en_vinai-translate-vi2en-v2_half_doc_news_train", "results": []}]} | yuufong/vi_en_vinai-translate-vi2en-v2_half_doc_news_train | null | [
"transformers",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:vinai/vinai-translate-vi2en-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:13:58+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-vi2en-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# vi_en_vinai-translate-vi2en-v2_half_doc_news_train
This model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
"# vi_en_vinai-translate-vi2en-v2_half_doc_news_train\n\nThis model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore inform... | [
"TAGS\n#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-vi2en-v2 #autotrain_compatible #endpoints_compatible #region-us \n",
"# vi_en_vinai-translate-vi2en-v2_half_doc_news_train\n\nThis model is a fine-tuned version of vinai/vinai-translate-vi2en-v... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-1000-samples
This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "recall", "precision"], "base_model": "finiteautomata/bertweet-base-sentiment-analysis", "model-index": [{"name": "finetuning-sentiment-model-1000-samples", "results": []}]} | klorine28/finetuning-sentiment-model-1000-samples | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:finiteautomata/bertweet-base-sentiment-analysis",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:15:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-finiteautomata/bertweet-base-sentiment-analysis #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-1000-samples
This model is a fine-tuned version of finiteautomata/bertweet-base-sentiment-analysis on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0307
- Accuracy: 0.9962
- F1: 0.9965
- Recall: 1.0
- Precision: 0.9931
## Model description
More i... | [
"# finetuning-sentiment-model-1000-samples\n\nThis model is a fine-tuned version of finiteautomata/bertweet-base-sentiment-analysis on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0307\n- Accuracy: 0.9962\n- F1: 0.9965\n- Recall: 1.0\n- Precision: 0.9931",
"## Model descr... | [
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text-generation | transformers | * <span style="color:orange">I'm just tinkering. All credit to the original creators: [Noromaid is hot.](https://huggingface.co/NeverSleep)</span>
* <span style="color:orange">"rpcal" designates that this model was quantized using an [RP-specific data set](https://huggingface.co/datasets/royallab/PIPPA-cleaned) instead... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | zaq-hack/MiquMaid-v3-70B-bpw250-h6-exl2-rpcal | null | [
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"text-generation",
"not-for-all-audiences",
"nsfw",
"merge",
"conversational",
"arxiv:2403.19522",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T04:15:46+00:00 | [
"2403.19522"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #not-for-all-audiences #nsfw #merge #conversational #arxiv-2403.19522 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| * <span style="color:orange">I'm just tinkering. All credit to the original creators: Noromaid is hot.</span>
* <span style="color:orange">"rpcal" designates that this model was quantized using an RP-specific data set instead of the generalized wiki or llama data set. I have been unable to quantify real differences in ... | [
"## MiquMaid v3\n\nCheck out our blogpost about this model series Here! - Join our Discord server Here!\n\n<center><div style=\"width: 100%;\">\n <img src=\"URL style=\"display: block; margin: auto;\">\n</div></center>\n\nThis model uses the Alpaca prompting format\n\nModel trained for RP conversation on Miqu-70... | [
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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": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-6_sweep_1_pgd_layers_28 | null | [
"peft",
"safetensors",
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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. -->
# vi_en_vinai-translate-vi2en-v2_news_train
This model is a fine-tuned version of [vinai/vinai-translate-vi2en-v2](https://hugging... | {"tags": ["generated_from_trainer"], "base_model": "vinai/vinai-translate-vi2en-v2", "model-index": [{"name": "vi_en_vinai-translate-vi2en-v2_news_train", "results": []}]} | yuufong/vi_en_vinai-translate-vi2en-v2_news_train | null | [
"transformers",
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"generated_from_trainer",
"base_model:vinai/vinai-translate-vi2en-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T04:16:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/vinai-translate-vi2en-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# vi_en_vinai-translate-vi2en-v2_news_train
This model is a fine-tuned version of vinai/vinai-translate-vi2en-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
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text-generation | transformers |
## MiquMaid v3
Check out our blogpost about this model series [Here!](https://ikaridevgit.github.io/index.html?blog=blogid-6&bo=true#Miqu-base) - Join our Discord server [Here!](https://discord.gg/Bb8pRUXy3Z)
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | blockblockblock/MiquMaid-v3-70B-bpw2.25 | null | [
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"region:us"
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"2403.19522"
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|
## MiquMaid v3
Check out our blogpost about this model series Here! - Join our Discord server Here!
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Alpaca prompting format
Model trained for RP conversation on Miqu-70B with our magic sa... | [
"## MiquMaid v3\n\nCheck out our blogpost about this model series Here! - Join our Discord server Here!\n\n<center><div style=\"width: 100%;\">\n <img src=\"URL style=\"display: block; margin: auto;\">\n</div></center>\n\nThis model uses the Alpaca prompting format\n\nModel trained for RP conversation on Miqu-70... | [
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text-generation | transformers |
# Experiment28T3q_Multi_verse_modelM7
Experiment28T3q_Multi_verse_modelM7 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Multi_verse_modelM7-7B](https://huggingface.co/automerger/Multi_verse_modelM7-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Multi_verse_modelM7", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Multi_verse_modelM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/Experiment28T3q_Multi_verse_modelM7 | null | [
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"base_model:automerger/Multi_verse_modelM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Multi_verse_modelM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Multi_verse_modelM7
Experiment28T3q_Multi_verse_modelM7 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Multi_verse_modelM7-7B
## Usage
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text-generation | transformers |
# Experiment26Neuralsirkrishna_Strangemerges_32Strangemerges_30
Experiment26Neuralsirkrishna_Strangemerges_32Strangemerges_30 is a merge of the following models:
* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
* [automerger/Strangemerges_32Strangemerge... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Strangemerges_32Strangemerges_30", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Strangemerges_32Strangemerges_30-7B"], "inference": false, "model_creator": "Ma... | MaziyarPanahi/Experiment26Neuralsirkrishna_Strangemerges_32Strangemerges_30 | null | [
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"license:apache-2.0",
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|
# Experiment26Neuralsirkrishna_Strangemerges_32Strangemerges_30
Experiment26Neuralsirkrishna_Strangemerges_32Strangemerges_30 is a merge of the following models:
* automerger/Experiment26Neuralsirkrishna-7B
* automerger/Strangemerges_32Strangemerges_30-7B
## Usage
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text-generation | transformers |
# MeliodasPercival_01_ShadowMeliodas
MeliodasPercival_01_ShadowMeliodas is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/ShadowMeliodas-7B](https://huggingface.co/automerger/ShadowMeliodas-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_ShadowMeliodas", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/ShadowMeliodas-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/MeliodasPercival_01_ShadowMeliodas | null | [
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"license:apache-2.0",
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|
# MeliodasPercival_01_ShadowMeliodas
MeliodasPercival_01_ShadowMeliodas is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/ShadowMeliodas-7B
## Usage
| [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_AlloyingotneoyInex12
T3qm7xNeuralsirkrishna_AlloyingotneoyInex12 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/AlloyingotneoyIne... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_AlloyingotneoyInex12", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/AlloyingotneoyInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/T3qm7xNeuralsirkrishna_AlloyingotneoyInex12 | null | [
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"base_model:automerger/AlloyingotneoyInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:17:50+00:00 | [] | [] | TAGS
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|
# T3qm7xNeuralsirkrishna_AlloyingotneoyInex12
T3qm7xNeuralsirkrishna_AlloyingotneoyInex12 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/AlloyingotneoyInex12-7B
## Usage
| [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - galim/tukai_LoRA
<Gallery />
## Model description
These are galim/tukai_LoRA LoRA adaption wei... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | galim/tukai_LoRA | null | [
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-07T04:18:00+00:00 | [] | [] | TAGS
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|
# SDXL LoRA DreamBooth - galim/tukai_LoRA
<Gallery />
## Model description
These are galim/tukai_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-va... | [
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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": []} | hongji-s/as04-peft-adapter | null | [
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"safetensors",
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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static quants of https://huggingface.co/alkahestry/Limitless
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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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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# controlnet-hoa-quickloop/tryon_controlnet_1.2
These are controlnet weights trained on runwayml/stable-diffusion-inpaint... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "inference": true, "base_model": "runwayml/stable-diffusion-inpainting"} | hoa-quickloop/tryon_controlnet_1.2 | null | [
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|
# controlnet-hoa-quickloop/tryon_controlnet_1.2
These are controlnet weights trained on runwayml/stable-diffusion-inpainting with new type of conditioning.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Train... | [
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mask-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": []} | diliash/sam-2024-04-07-04-06-08 | null | [
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"region:us"
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"1910.09700"
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#transformers #safetensors #sam #mask-generation #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.
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- Funded by [optional]:
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summarization | 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. -->
# mbart-large-50-finetuned-latest2
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook... | {"license": "mit", "tags": ["summarization", "generated_from_trainer"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-large-50-finetuned-latest2", "results": []}]} | october-sd/mbart-large-50-finetuned-latest2 | null | [
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| mbart-large-50-finetuned-latest2
================================
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7745
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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
Finetuned on - google-bert-base/bert-multilingual-based with a custom tweet dataset
accuracy - 82
trained with 30 epochs | {"library_name": "transformers", "tags": []} | tatai08/reward-opi-twitter-epochs-30 | null | [
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#transformers #safetensors #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
Finetuned on - google-bert-base/bert-multilingual-based with a custom tweet dataset
accuracy - 82
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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. -->
# opt-350m-rte
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the GLUE RTE... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-350m", "model-index": [{"name": "opt-350m-rte", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE RTE", "ty... | Cheng98/opt-350m-rte | null | [
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|
# opt-350m-rte
This model is a fine-tuned version of facebook/opt-350m on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0566
- Accuracy: 0.7112
## Model description
More information needed
## Intended uses & limitations
More information needed
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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": []} | ntvcie/gemma_Vinh_test_10 | null | [
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# Model Card for Model ID
## Model Details
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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... | ycchen233/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null | Refer to the original models for best usage.
- [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2)
- [KoboldAI/Mistral-7B-Holodeck-1](https://huggingface.co/KoboldAI/Mistral-7B-Holodeck-1)
- [KoboldAI/Mistral-7B-Erebus-v3](https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3)
- [fblgit/UNA-T... | {"tags": ["not-for-all-audiences", "merge", "mergekit"], "base_model": ["Sao10K/Fimbulvetr-11B-v2", "KoboldAI/Mistral-7B-Holodeck-1", "KoboldAI/Mistral-7B-Erebus-v3", "fblgit/UNA-TheBeagle-7b-v1", "teknium/airoboros-mistral2.2-7b", "senseable/WestLake-7B-v2", "chargoddard/loyal-piano-m7", "NeverSleep/Noromaid-7b-v0.2"]... | PJMixers/EmptiSolar-4-10.7B-GGUF | null | [
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"base_model:fblgit/UNA-TheBeagle-7b-v1",
"base_model:teknium/airoboros-mistral2.2-7b",
"base_model:senseable/WestLak... | null | 2024-04-07T04:29:32+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #merge #mergekit #base_model-Sao10K/Fimbulvetr-11B-v2 #base_model-KoboldAI/Mistral-7B-Holodeck-1 #base_model-KoboldAI/Mistral-7B-Erebus-v3 #base_model-fblgit/UNA-TheBeagle-7b-v1 #base_model-teknium/airoboros-mistral2.2-7b #base_model-senseable/WestLake-7B-v2 #base_model-chargoddard/loy... | Refer to the original models for best usage.
- Sao10K/Fimbulvetr-11B-v2
- KoboldAI/Mistral-7B-Holodeck-1
- KoboldAI/Mistral-7B-Erebus-v3
- fblgit/UNA-TheBeagle-7b-v1
- teknium/airoboros-mistral2.2-7b
- senseable/WestLake-7B-v2
- chargoddard/loyal-piano-m7
- NeverSleep/Noromaid-7b-v0.2
---
# Mergekit Recipe
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text-generation | transformers |
# Experiment26Yamshadow_Experiment29Multi_verse_model
Experiment26Yamshadow_Experiment29Multi_verse_model is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Experiment29Multi_verse_model-7B](https://huggingface.co/autom... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Experiment29Multi_verse_model", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Experiment29Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipel... | MaziyarPanahi/Experiment26Yamshadow_Experiment29Multi_verse_model | null | [
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"text-generation",
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"base_model:automerger/Experiment29Multi_verse_model-7B",
"license:apache-2.0",
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"region:us"
] | null | 2024-04-07T04:29:40+00:00 | [] | [] | TAGS
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|
# Experiment26Yamshadow_Experiment29Multi_verse_model
Experiment26Yamshadow_Experiment29Multi_verse_model is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Experiment29Multi_verse_model-7B
## Usage
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text-generation | transformers |
# Model_Stock_Mixv0.1-7B
Model_Stock_Mixv0.1-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: MTSAIR/multi_verse_model
- model: jsfs11/MoEv4Config-TestWeightedTIES-7b
... | {"tags": ["merge", "mergekit", "lazymergekit"]} | jsfs11/Model_Stock_Mixv0.1-7B | null | [
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"text-generation",
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"autotrain_compatible",
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] | null | 2024-04-07T04:30:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model_Stock_Mixv0.1-7B
Model_Stock_Mixv0.1-7B is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
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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. -->
# opt-350m-sst2
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the GLUE SS... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-350m", "model-index": [{"name": "opt-350m-sst2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE SST2", "... | Cheng98/opt-350m-sst2 | null | [
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|
# opt-350m-sst2
This model is a fine-tuned version of facebook/opt-350m on the GLUE SST2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4992
- Accuracy: 0.9163
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
"# opt-350m-sst2\n\nThis model is a fine-tuned version of facebook/opt-350m on the GLUE SST2 dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4992\n- Accuracy: 0.9163",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
... | [
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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": []} | raf-madrigal/gemma-2b-ft-snoop | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_united
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/c... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cardiffnlp/twitter-roberta-base-sentiment-latest", "model-index": [{"name": "results_united", "results": []}]} | jdhr/AirlineTweetAnalysis-RoBERTa | null | [
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] | null | 2024-04-07T04:34:09+00:00 | [] | [] | TAGS
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| results\_united
===============
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6070
* Accuracy: 0.8287
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# DialoGPT_EmpAI3_2_FineTuned
This model is a fine-tuned version of [LuangMV97/DialoGPT_EmpAI3_2](https://huggingface.co/LuangMV97... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "LuangMV97/DialoGPT_EmpAI3_2", "model-index": [{"name": "DialoGPT_EmpAI3_2_FineTuned", "results": []}]} | LuangMV97/DialoGPT_EmpAI3_2_FineTuned | null | [
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| DialoGPT\_EmpAI3\_2\_FineTuned
==============================
This model is a fine-tuned version of LuangMV97/DialoGPT\_EmpAI3\_2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7097
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# MeliodasPercival_01_T3qExperiment26
MeliodasPercival_01_T3qExperiment26 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/T3qExperiment26-7B](https://huggingface.co/automerger/T3qExperiment26-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_T3qExperiment26", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/T3qExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/MeliodasPercival_01_T3qExperiment26 | null | [
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"base_model:automerger/T3qExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:35:29+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/T3qExperiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_T3qExperiment26
MeliodasPercival_01_T3qExperiment26 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/T3qExperiment26-7B
## Usage
| [
"# MeliodasPercival_01_T3qExperiment26\n\nMeliodasPercival_01_T3qExperiment26 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/T3qExperiment26-7B",
"## Usage"
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text-generation | transformers |
# Experiment28T3q_Experiment26Pastiche
Experiment28T3q_Experiment26Pastiche is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Experiment26Pastiche-7B](https://huggingface.co/automerger/Experiment26Pastiche-7B)
## 💻 Usage
```p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Experiment26Pastiche", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Experiment26Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "... | MaziyarPanahi/Experiment28T3q_Experiment26Pastiche | null | [
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"base_model:automerger/Experiment26Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:35:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Experiment26Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Experiment26Pastiche
Experiment28T3q_Experiment26Pastiche is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Experiment26Pastiche-7B
## Usage
| [
"# Experiment28T3q_Experiment26Pastiche\n\nExperiment28T3q_Experiment26Pastiche is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/Experiment26Pastiche-7B",
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text-generation | transformers |
# Experiment26Neuralsirkrishna_Experiment28Multi_verse_model
Experiment26Neuralsirkrishna_Experiment28Multi_verse_model is a merge of the following models:
* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
* [automerger/Experiment28Multi_verse_model-7B](... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Experiment28Multi_verse_model", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Experiment28Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarP... | MaziyarPanahi/Experiment26Neuralsirkrishna_Experiment28Multi_verse_model | null | [
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"base_model:automerger/Experiment28Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:35:38+00:00 | [] | [] | TAGS
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|
# Experiment26Neuralsirkrishna_Experiment28Multi_verse_model
Experiment26Neuralsirkrishna_Experiment28Multi_verse_model is a merge of the following models:
* automerger/Experiment26Neuralsirkrishna-7B
* automerger/Experiment28Multi_verse_model-7B
## Usage
| [
"# Experiment26Neuralsirkrishna_Experiment28Multi_verse_model\n\nExperiment26Neuralsirkrishna_Experiment28Multi_verse_model is a merge of the following models:\n* automerger/Experiment26Neuralsirkrishna-7B\n* automerger/Experiment28Multi_verse_model-7B",
"## Usage"
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Strangemerges_32Experiment28
T3qm7xNeuralsirkrishna_Strangemerges_32Experiment28 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Strangemerges_32Experiment28-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Strangemerges_32Experiment28", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Strangemerges_32Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipel... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Strangemerges_32Experiment28 | null | [
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"license:apache-2.0",
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] | null | 2024-04-07T04:35:38+00:00 | [] | [] | TAGS
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|
# T3qm7xNeuralsirkrishna_Strangemerges_32Experiment28
T3qm7xNeuralsirkrishna_Strangemerges_32Experiment28 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Strangemerges_32Experiment28-7B
## Usage
| [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/MediaTek-Research-Breeze-7B-Instruct-v1_0-bnb-8bit-smashed | null | [
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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text-to-image | diffusers | # zundamon_sdxl_lora
<Gallery />
## Model description
学習用の素材は以下からいただきました。
https://zunko.jp/con_illust.html
A氏の画像を使用しています。
作成方法と簡単な評価は以下にあります。
epoch 14 のものを採用しています。
https://note.com/suito_venus/n/nb7cbf2046c4e
## v02 の改良点
[masked loss](https://github.com/kohya-ss/sd-scripts... | {"license": "openrail++", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "zundamon, masterpiece", "output": {"url": "images/comfyui_xy_prot_00122_.png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "zundamon", "license_name"... | suito-venus/zundamon_sdxl_lora | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-07T04:38:35+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
| # zundamon_sdxl_lora
<Gallery />
## Model description
学習用の素材は以下からいただきました。
https://URL/con_illust.html
A氏の画像を使用しています。
作成方法と簡単な評価は以下にあります。
epoch 14 のものを採用しています。
https://URL/suito_venus/n/nb7cbf2046c4e
## v02 の改良点
masked loss を使って学習素材の白背景の学習を抑えています。
オリジナルと比べて、背景に関するプロンプトの応答性は... | [
"# zundamon_sdxl_lora\n\n<Gallery />",
"## Model description \n\n学習用の素材は以下からいただきました。\nhttps://URL/con_illust.html\nA氏の画像を使用しています。\n\n作成方法と簡単な評価は以下にあります。\nepoch 14 のものを採用しています。\nhttps://URL/suito_venus/n/nb7cbf2046c4e",
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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": []} | 0x0uncle0/Uncle53 | null | [
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# Model Card for Model ID
## Model Details
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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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Experiment26Yamshadow_AlloyingotneoyInex12
Experiment26Yamshadow_AlloyingotneoyInex12 is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/AlloyingotneoyInex12-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_AlloyingotneoyInex12", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/AlloyingotneoyInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/Experiment26Yamshadow_AlloyingotneoyInex12 | null | [
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"base_model:automerger/AlloyingotneoyInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# Experiment26Yamshadow_AlloyingotneoyInex12
Experiment26Yamshadow_AlloyingotneoyInex12 is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/AlloyingotneoyInex12-7B
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Tverous/llama-ppo-temp | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Description
This model converts worlds and locations described in the DAGGER JSON format into fictional narrative stories. See more information about the [DAGGER dataset](https://github.com/dagger-realms/dagger).
## Example Usage
Make sure you have the latest versions of `torch`, `transformers`, `quanto`, and `acc... | {"tags": ["datadreamer", "datadreamer-0.28.0", "synthetic", "text-generation"], "base_model": "LouisML/tinyllama_32k", "pipeline_tag": "text-generation", "inference": false} | dagger-realms/dagger_to_narrative | null | [
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| # Description
This model converts worlds and locations described in the DAGGER JSON format into fictional narrative stories. See more information about the DAGGER dataset.
## Example Usage
Make sure you have the latest versions of 'torch', 'transformers', 'quanto', and 'accelerate' with:
---
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mask-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": []} | diliash/sam-2024-04-07-04-26-36 | null | [
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text-generation | transformers |
# HeroBophades-2x7B
This is an experimental Mixture of Experts LLM built with (mergekit)[https://github.com/arcee-ai/mergekit/blob/main/docs/moe.md].
### Configuration
```yaml
base_model: nbeerbower/bophades-mistral-trut... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["jondurbin/truthy-dpo-v0.1", "kyujinpy/orca_math_dpo"], "base_model": ["nbeerbower/bophades-mistral-truthy-DPO-7B", "nbeerbower/bophades-mistral-math-DPO-7B"]} | nbeerbower/HeroBophades-2x7B | null | [
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|
!image/png
# HeroBophades-2x7B
This is an experimental Mixture of Experts LLM built with (mergekit)[URL
### Configuration
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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": []} | PragyanPrusty/wav2vec2-large-xls-r-300m-hindi-colab | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# Mistral-7B-v0.1-GGUF
- Quantized version of [CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf)
- Created using llama.cpp
## Available Quants
* Q2_K
* Q3_K_L
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* Q4_0
* Q4_K_M
* Q4_K_S
* Q5_0
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* Q6_K
* Q8_0 | {"library_name": "transformers", "tags": ["code", "llama", "llama-2", "text-generation-inference"], "pipeline_tag": "text-generation", "base_model": "codellama/CodeLlama-7b-Instruct-hf", "inference": false} | QuantFactory/CodeLlama-7b-Instruct-hf-GGUF | null | [
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|
# Mistral-7B-v0.1-GGUF
- Quantized version of CodeLlama-7b-Instruct-hf
- Created using URL
## Available Quants
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text-generation | transformers |
# MeliodasPercival_01_AlloyingotneoyExperiment26
MeliodasPercival_01_AlloyingotneoyExperiment26 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/AlloyingotneoyExperiment26-7B](https://huggingface.co/automerger/Alloyingotn... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_AlloyingotneoyExperiment26", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/AlloyingotneoyExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/MeliodasPercival_01_AlloyingotneoyExperiment26 | null | [
"transformers",
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"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/AlloyingotneoyExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:54:00+00:00 | [] | [] | TAGS
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|
# MeliodasPercival_01_AlloyingotneoyExperiment26
MeliodasPercival_01_AlloyingotneoyExperiment26 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/AlloyingotneoyExperiment26-7B
## Usage
| [
"# MeliodasPercival_01_AlloyingotneoyExperiment26\n\nMeliodasPercival_01_AlloyingotneoyExperiment26 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/AlloyingotneoyExperiment26-7B",
"## Usage"
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Experiment29Experiment24
T3qm7xNeuralsirkrishna_Experiment29Experiment24 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Experiment29Experiment24-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Experiment29Experiment24", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Experiment29Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment29Experiment24 | null | [
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"base_model:automerger/Experiment29Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:54:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/Experiment29Experiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_Experiment29Experiment24
T3qm7xNeuralsirkrishna_Experiment29Experiment24 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Experiment29Experiment24-7B
## Usage
| [
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text-generation | transformers |
# Experiment28T3q_AlloyingotneoyYam
Experiment28T3q_AlloyingotneoyYam is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/AlloyingotneoyYam-7B](https://huggingface.co/automerger/AlloyingotneoyYam-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_AlloyingotneoyYam", "base_model": ["automerger/Experiment28T3q-7B", "automerger/AlloyingotneoyYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28T3q_AlloyingotneoyYam | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/AlloyingotneoyYam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_AlloyingotneoyYam
Experiment28T3q_AlloyingotneoyYam is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/AlloyingotneoyYam-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# Experiment26Neuralsirkrishna_Experiment27Yam
Experiment26Neuralsirkrishna_Experiment27Yam is a merge of the following models:
* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
* [automerger/Experiment27Yam-7B](https://huggingface.co/automerger/Experime... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Experiment27Yam", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Experiment27Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/Experiment26Neuralsirkrishna_Experiment27Yam | null | [
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"base_model:automerger/Experiment27Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T04:55:04+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/Experiment27Yam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Neuralsirkrishna_Experiment27Yam
Experiment26Neuralsirkrishna_Experiment27Yam is a merge of the following models:
* automerger/Experiment26Neuralsirkrishna-7B
* automerger/Experiment27Yam-7B
## Usage
| [
"# Experiment26Neuralsirkrishna_Experiment27Yam\n\nExperiment26Neuralsirkrishna_Experiment27Yam is a merge of the following models:\n* automerger/Experiment26Neuralsirkrishna-7B\n* automerger/Experiment27Yam-7B",
"## Usage"
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"# Experiment26Neuralsirkrishna_Experiment27Yam\n\nE... | [
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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": []} | tatai08/twitter-post-classifier-llama-2-7b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dtee/test | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Language(s) (NLP):
- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT_more_data
This model is a fine-tuned versi... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT_more_data", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT_more_data | null | [
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"safetensors",
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"base_model:facebook/timesformer-base-finetuned-k400",
"license:cc-by-nc-4.0",
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#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num\_frame\_10\_myViT\_more\_data
====================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves th... | [
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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": []} | newsmediabias/DistilBert_Sentiment_Classification | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Experiment26Yamshadow_Strangemerges_32Experiment28
Experiment26Yamshadow_Strangemerges_32Experiment28 is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Strangemerges_32Experiment28-7B](https://huggingface.co/automerg... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Strangemerges_32Experiment28", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Strangemerges_32Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipelin... | MaziyarPanahi/Experiment26Yamshadow_Strangemerges_32Experiment28 | null | [
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"base_model:automerger/Strangemerges_32Experiment28-7B",
"license:apache-2.0",
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"region:us"
] | null | 2024-04-07T04:58:38+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/Strangemerges_32Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_Strangemerges_32Experiment28
Experiment26Yamshadow_Strangemerges_32Experiment28 is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Strangemerges_32Experiment28-7B
## Usage
| [
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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. -->
# base
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "base", "results": []}]} | ImanNalia/base | null | [
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"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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| base
====
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6689
* Wer: 31.2258
* Cer: 13.9975
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\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\\_step... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.8066926855176717, 0.3616718569... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.81-0.36-0.63-1.0-0.79-0.74-7B | null | [
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"license:apache-2.0",
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"text-generation-inference",
"re... | null | 2024-04-07T05:03:05+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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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. -->
# 960h
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "960h", "results": []}]} | ImanNalia/ft_wav2vec2_960h_thirty | null | [
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"generated_from_trainer",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T05:04:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base-960h #license-apache-2.0 #endpoints_compatible #region-us
| 960h
====
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5325
* Wer: 24.4442
* Cer: 12.0113
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\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\\_step... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/WizardLM-WizardCoder-Python-7B-V1.0-bnb-8bit-smashed | null | [
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"region:us"
] | null | 2024-04-07T05:04:54+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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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. -->
# hanzi_huayu_translation
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "facebook/mbart-large-50-many-to-many-mmt", "model-index": [{"name": "hanzi_huayu_translation", "results": []}]} | yuweiiizz/hanzi_huayu_translation | null | [
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"base_model:facebook/mbart-large-50-many-to-many-mmt",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T05:04:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-facebook/mbart-large-50-many-to-many-mmt #autotrain_compatible #endpoints_compatible #region-us
| hanzi\_huayu\_translation
=========================
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1273
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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... | ak2021/LunarLandar-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T05:07:27+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-to-image | null | ### Artificial-Intelligence-Interior-Assistant Dreambooth model trained by tiwarishwet following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 224626101
Sample pictures of this concept:
![0](https://huggingface.co/tiwarishwet/artificial-intelligence-inter... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | tiwarishwet/artificial-intelligence-interior-assistant | null | [
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-07T05:11:18+00:00 | [] | [] | TAGS
#NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #region-us
| ### Artificial-Intelligence-Interior-Assistant Dreambooth model trained by tiwarishwet following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 224626101
Sample pictures of this concept:
!0.jpg)
!1.jpg)
!2.jpg)
!3.jpg)
!4.jpg)
... | [
"### Artificial-Intelligence-Interior-Assistant Dreambooth model trained by tiwarishwet following the \"Build your own Gen AI model\" session by NxtWave.\n\nProject Submission Code: 224626101\n\nSample pictures of this concept:\n\n \n \n \n \n \n \n \n \n \n !0.jpg)\n !1.jpg)\n !2.jpg)\n !3... | [
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summarization | 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. -->
# IndicBART_new_2
This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the N... | {"tags": ["summarization", "generated_from_trainer"], "base_model": "ai4bharat/IndicBART", "model-index": [{"name": "IndicBART_new_2", "results": []}]} | october-sd/IndicBART_new_2 | null | [
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"mbart",
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"generated_from_trainer",
"base_model:ai4bharat/IndicBART",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T05:11:34+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #summarization #generated_from_trainer #base_model-ai4bharat/IndicBART #autotrain_compatible #endpoints_compatible #region-us
| IndicBART\_new\_2
=================
This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3218
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 1024\n* optimizer: Adam with betas=(0.9,0.999) and epsi... | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #summarization #generated_from_trainer #base_model-ai4bharat/IndicBART #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
57,
140,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #summarization #generated_from_trainer #base_model-ai4bharat/IndicBART #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rat... |
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