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text-generation | transformers |
# ModaVerse: Efficiently Transforming Modalities with LLMs
Please check the ModaVerse Repo at https://github.com/xinke-wang/ModaVerse
If you find ModaVerse useful in your research or applications, please consider cite:
```bibtex
@article{wang2024modaverse,
title={ModaVerse: Efficiently Transforming Modalities wi... | {"license": "apache-2.0"} | xinke-wang/ModaVerse-7b-v0 | null | [
"transformers",
"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T07:09:21+00:00 | [] | [] | TAGS
#transformers #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# ModaVerse: Efficiently Transforming Modalities with LLMs
Please check the ModaVerse Repo at URL
If you find ModaVerse useful in your research or applications, please consider cite:
| [
"# ModaVerse: Efficiently Transforming Modalities with LLMs\n\nPlease check the ModaVerse Repo at URL\n\n\nIf you find ModaVerse useful in your research or applications, please consider cite:"
] | [
"TAGS\n#transformers #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# ModaVerse: Efficiently Transforming Modalities with LLMs\n\nPlease check the ModaVerse Repo at URL\n\n\nIf you find ModaVerse useful in your research or applic... | [
38,
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"TAGS\n#transformers #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# ModaVerse: Efficiently Transforming Modalities with LLMs\n\nPlease check the ModaVerse Repo at URL\n\n\nIf you find ModaVerse useful in your research or applications... |
reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **challenge** environment.
This model was trained using Sample-Factory 2.0: https://github.com/BartekCupial/sample-factory/tree/nethack.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sample-Fac... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "challenge", "type": "challenge"}, "metrics": [{"type": ... | LLParallax/sf_finetuning_forgetting_human_monk | null | [
"sample-factory",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T07:09:40+00:00 | [] | [] | TAGS
#sample-factory #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the challenge environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the model after download, u... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\nFor performance evaluation, use the 'eval' script:\n\n\nYou can also upload models to the Hugging Face Hub... | [
"TAGS\n#sample-factory #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\... | [
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"TAGS\n#sample-factory #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n## Downloading the model\n\nAfter installing Sample-Factory, download the model with:## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\nFor perform... |
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": []} | kawagoshi-llm-team/gpt_0.125B_global_step100_openassistant | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T07:09:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-finetuned-squadv2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-finetuned-squadv2", "results": []}]} | wanhin/distilbert-finetuned-squadv2 | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T07:10:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# distilbert-finetuned-squadv2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# distilbert-finetuned-squadv2\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training... | [
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translation | transformers |
I only did ctranslate2 convert to the original.
cmd> ct2-transformers-converter --model NHNDQ/nllb-finetuned-en2ko --quantization float16 --output_dir NHNDQ-nllb-finetuned-en2ko-ct2
All copyrights belong to the original authors and the CT model may be deleted upon request. Below is the original model information.
O... | {"language": ["en", "ko"], "license": "cc-by-4.0", "tags": ["translation"]} | skywood/NHNDQ-nllb-finetuned-en2ko-ct2-float16 | null | [
"transformers",
"translation",
"en",
"ko",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T07:12:12+00:00 | [] | [
"en",
"ko"
] | TAGS
#transformers #translation #en #ko #license-cc-by-4.0 #endpoints_compatible #region-us
|
I only did ctranslate2 convert to the original.
cmd> ct2-transformers-converter --model NHNDQ/nllb-finetuned-en2ko --quantization float16 --output_dir NHNDQ-nllb-finetuned-en2ko-ct2
All copyrights belong to the original authors and the CT model may be deleted upon request. Below is the original model information.
O... | [
"## Model Details\n* Model Description: Fine-tuned facebook/nllb-200-distilled-600M ct2 model\n* Developed by: DanielHeo\n*",
"## Original Model Details\n* Model Description: Fine-tuned facebook/nllb-200-distilled-600M model\n* Developed by: Jisu Kim, Juhwan Lee, TakSung Heo, and Minsu Jeong\n* Model Type: Transl... | [
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"## Model Details\n* Model Description: Fine-tuned facebook/nllb-200-distilled-600M ct2 model\n* Developed by: DanielHeo\n*",
"## Original Model Details\n* Model Description: Fine-tuned facebook/nllb-200-distilled... | [
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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": []} | Ruiz3/phi-2-kingshipAIv3 | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T07:12:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Doctor-Shotgun/ds-spicy-brew-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "agpl-3.0", "library_name": "transformers", "tags": ["llama", "llama-2", "not-for-all-audiences"], "base_model": "Doctor-Shotgun/ds-spicy-brew-13b", "quantized_by": "mradermacher"} | mradermacher/ds-spicy-brew-13b-GGUF | null | [
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"llama-2",
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"base_model:Doctor-Shotgun/ds-spicy-brew-13b",
"license:agpl-3.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T07:16:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #llama-2 #not-for-all-audiences #en #base_model-Doctor-Shotgun/ds-spicy-brew-13b #license-agpl-3.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #llama #llama-2 #not-for-all-audiences #en #base_model-Doctor-Shotgun/ds-spicy-brew-13b #license-agpl-3.0 #endpoints_compatible #region-us \n"
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] |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shopee-ner
This model is a fine-tuned version of [cahya/xlm-roberta-base-indonesian-NER](https://huggingface.co/cahya/xlm-robert... | {"tags": ["generated_from_trainer"], "base_model": "cahya/xlm-roberta-base-indonesian-NER", "model-index": [{"name": "shopee-ner", "results": []}]} | link2eddie/shopee-ner | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:cahya/xlm-roberta-base-indonesian-NER",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T07:16:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-cahya/xlm-roberta-base-indonesian-NER #autotrain_compatible #endpoints_compatible #region-us
|
# shopee-ner
This model is a fine-tuned version of cahya/xlm-roberta-base-indonesian-NER on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# shopee-ner\n\nThis model is a fine-tuned version of cahya/xlm-roberta-base-indonesian-NER on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-cahya/xlm-roberta-base-indonesian-NER #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | transformers |
# MergeM-7B
MergeM-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | PotatoB/MergeM-7B | null | [
"transformers",
"safetensors",
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"base_model:OpenPipe/mistral-ft-optimized-1218",
"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
"license:apache-2.... | null | 2024-04-07T07:22:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #OpenPipe/mistral-ft-optimized-1218 #mlabonne/NeuralHermes-2.5-Mistral-7B #base_model-OpenPipe/mistral-ft-optimized-1218 #base_model-mlabonne/NeuralHermes-2.5-Mistral-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatib... |
# MergeM-7B
MergeM-7B is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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"## Usage"
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Inex12Experiment28
T3qm7xNeuralsirkrishna_Inex12Experiment28 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Inex12Experiment28-7B](https://huggingface.co/automerger/Inex12Experiment28-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Inex12Experiment28", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Inex12Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Inex12Experiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/T3qm7xNeuralsirkrishna-7B",
"base_model:automerger/Inex12Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T07:22:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/Inex12Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_Inex12Experiment28
T3qm7xNeuralsirkrishna_Inex12Experiment28 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Inex12Experiment28-7B
## Usage
| [
"# T3qm7xNeuralsirkrishna_Inex12Experiment28\n\nT3qm7xNeuralsirkrishna_Inex12Experiment28 is a merge of the following models:\n* automerger/T3qm7xNeuralsirkrishna-7B\n* automerger/Inex12Experiment28-7B",
"## Usage"
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text-generation | transformers |
# Experiment28M7_M7T3qm7x
Experiment28M7_M7T3qm7x is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/M7T3qm7x-7B](https://huggingface.co/automerger/M7T3qm7x-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_M7T3qm7x", "base_model": ["automerger/Experiment28M7-7B", "automerger/M7T3qm7x-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPan... | MaziyarPanahi/Experiment28M7_M7T3qm7x | null | [
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"base_model:automerger/M7T3qm7x-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T07:23:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/M7T3qm7x-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_M7T3qm7x
Experiment28M7_M7T3qm7x is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/M7T3qm7x-7B
## Usage
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text-generation | transformers |
# MeliodasPercival_01_ShadowExperiment24
MeliodasPercival_01_ShadowExperiment24 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/ShadowExperiment24-7B](https://huggingface.co/automerger/ShadowExperiment24-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_ShadowExperiment24", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/ShadowExperiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/MeliodasPercival_01_ShadowExperiment24 | null | [
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"base_model:automerger/ShadowExperiment24-7B",
"license:apache-2.0",
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/ShadowExperiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_ShadowExperiment24
MeliodasPercival_01_ShadowExperiment24 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/ShadowExperiment24-7B
## Usage
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text-generation | transformers |
# Experiment28T3q_Strangemerges_32Ogno
Experiment28T3q_Strangemerges_32Ogno is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Strangemerges_32Ogno-7B](https://huggingface.co/automerger/Strangemerges_32Ogno-7B)
## 💻 Usage
```p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Strangemerges_32Ogno", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Strangemerges_32Ogno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "... | MaziyarPanahi/Experiment28T3q_Strangemerges_32Ogno | null | [
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"base_model:automerger/Strangemerges_32Ogno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T07:23:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Strangemerges_32Ogno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Strangemerges_32Ogno
Experiment28T3q_Strangemerges_32Ogno is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Strangemerges_32Ogno-7B
## Usage
| [
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text-generation | transformers |
# Experiment26Yamshadow_Ognoexperiment27Multi_verse_model
Experiment26Yamshadow_Ognoexperiment27Multi_verse_model is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Ognoexperiment27Multi_verse_model-7B](https://huggingf... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Ognoexperiment27Multi_verse_model", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Ognoexperiment27Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi"... | MaziyarPanahi/Experiment26Yamshadow_Ognoexperiment27Multi_verse_model | null | [
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"license:apache-2.0",
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"region:us"
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|
# Experiment26Yamshadow_Ognoexperiment27Multi_verse_model
Experiment26Yamshadow_Ognoexperiment27Multi_verse_model is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Ognoexperiment27Multi_verse_model-7B
## Usage
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sentence-similarity | sentence-transformers |
# PSanni/en_embeddings_large
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model beco... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | PSanni/en_embeddings_large | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #custom_code #endpoints_compatible #region-us
|
# PSanni/en_embeddings_large
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | infinitix/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T07:28:46+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-generation | transformers | Quantized int4 version of [multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model) with GPTQ quantization method
I, a learning bot, have been enhanced through a groundbreaking training method. I represent an innovative idea that has been developed by refining the way I process information, much like how a ... | {"license": "other"} | MTSAIR/multi_verse_model_GPTQ | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-07T07:28:51+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #mistral #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantized int4 version of multi_verse_model with GPTQ quantization method
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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. -->
# rubra-11b-h
## Model description
This is a mistral based model trained on a lot of code and con... | {"license": "apache-2.0", "tags": ["freeze", "generated_from_trainer", "autoquant", "exl2"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "rubra-11b-h", "results": []}]} | sanjay920/rubra-11b-h-5.0bpw-exl2 | null | [
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"license:apache-2.0",
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"text-generation-inference",
"reg... | null | 2024-04-07T07:31:39+00:00 | [] | [] | TAGS
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|
# rubra-11b-h
!image/png
## Model description
This is a mistral based model trained on a lot of code and conversational data. The goal of this model was to retain the abilities of mistralai/Mistral-7B-Instruct-v0.2 while making it better at reasoning.
* 32k context window
* Rope-theta = 1e6
Fine tuning instruct ... | [
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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">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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... | [
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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_Toxicity_Classification | null | [
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"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | mrbesher/Reinforce-CartPole-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers | <!-- 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/Intel-neural-chat-7b-v3-2-bnb-4bit-smashed | null | [
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# 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 #4-bit #region-us \n",
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-teeth_dataset
This model is a fine-tuned version of [google/vit-base-patch16-224](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-finetuned-teeth_dataset", "results": [{"task": {"type": "image-classification", "name": "Image Classification"},... | Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset | null | [
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| vit-base-patch16-224-finetuned-teeth\_dataset
=============================================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1736
* Accuracy: 0.9348
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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", "datasets": ["AndersGiovanni/instructions-SOCKET"], "pipeline_tag": "text-generation"} | AndersGiovanni/social-llama-7b-instructions | 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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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #dataset-AndersGiovanni/instructions-SOCKET #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy
T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Experiment24Alloyingotneoy-7B](https://huggingface.co/automerger... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Experiment24Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy | null | [
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"base_model:automerger/Experiment24Alloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T07:41:33+00:00 | [] | [] | TAGS
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|
# T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy
T3qm7xNeuralsirkrishna_Experiment24Alloyingotneoy is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Experiment24Alloyingotneoy-7B
## Usage
| [
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text-generation | transformers |
# MeliodasPercival_01_AlloyingotneoyNeuralsirkrishna
MeliodasPercival_01_AlloyingotneoyNeuralsirkrishna is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/AlloyingotneoyNeuralsirkrishna-7B](https://huggingface.co/automerger... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_AlloyingotneoyNeuralsirkrishna", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/AlloyingotneoyNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipelin... | MaziyarPanahi/MeliodasPercival_01_AlloyingotneoyNeuralsirkrishna | null | [
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"base_model:automerger/AlloyingotneoyNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T07:43:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/AlloyingotneoyNeuralsirkrishna-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_AlloyingotneoyNeuralsirkrishna
MeliodasPercival_01_AlloyingotneoyNeuralsirkrishna is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/AlloyingotneoyNeuralsirkrishna-7B
## Usage
| [
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text-generation | transformers |
# Experiment26Yamshadow_Experiment27Pastiche
Experiment26Yamshadow_Experiment27Pastiche is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Experiment27Pastiche", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Experiment27Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/Experiment26Yamshadow_Experiment27Pastiche | null | [
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"license:apache-2.0",
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] | null | 2024-04-07T07:44:09+00:00 | [] | [] | TAGS
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|
# Experiment26Yamshadow_Experiment27Pastiche
Experiment26Yamshadow_Experiment27Pastiche is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Experiment27Pastiche-7B
## Usage
| [
"# Experiment26Yamshadow_Experiment27Pastiche\n\nExperiment26Yamshadow_Experiment27Pastiche is a merge of the following models:\n* automerger/Experiment26Yamshadow-7B\n* automerger/Experiment27Pastiche-7B",
"## Usage"
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text-generation | transformers |
# Experiment28M7_MeliodasNeuralsirkrishna
Experiment28M7_MeliodasNeuralsirkrishna is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/MeliodasNeuralsirkrishna-7B](https://huggingface.co/automerger/MeliodasNeuralsirkrishna-7B)
## 💻 ... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_MeliodasNeuralsirkrishna", "base_model": ["automerger/Experiment28M7-7B", "automerger/MeliodasNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generati... | MaziyarPanahi/Experiment28M7_MeliodasNeuralsirkrishna | null | [
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"base_model:automerger/MeliodasNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T07:44:23+00:00 | [] | [] | TAGS
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|
# Experiment28M7_MeliodasNeuralsirkrishna
Experiment28M7_MeliodasNeuralsirkrishna is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/MeliodasNeuralsirkrishna-7B
## Usage
| [
"# Experiment28M7_MeliodasNeuralsirkrishna\n\nExperiment28M7_MeliodasNeuralsirkrishna is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/MeliodasNeuralsirkrishna-7B",
"## Usage"
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"# Experiment28M7_MeliodasNeuralsirkrishna\n\nExperiment2... | [
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text-generation | transformers |
# Experiment28T3q_Strangemerges_32Strangemerges_30
Experiment28T3q_Strangemerges_32Strangemerges_30 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Strangemerges_32Strangemerges_30-7B](https://huggingface.co/automerger/Strangeme... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Strangemerges_32Strangemerges_30", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Strangemerges_32Strangemerges_30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/Experiment28T3q_Strangemerges_32Strangemerges_30 | null | [
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"region:us"
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|
# Experiment28T3q_Strangemerges_32Strangemerges_30
Experiment28T3q_Strangemerges_32Strangemerges_30 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Strangemerges_32Strangemerges_30-7B
## Usage
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"## Usage"
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text-generation | transformers |
# CodeLlama-7b-hf-GGUF
- Quantized version of [CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf)
- Created using llama.cpp
## Available Quants
* Q2_K
* Q3_K_L
* Q3_K_M
* Q3_K_S
* Q4_0
* Q4_K_M
* Q4_K_S
* Q5_0
* Q5_K_M
* Q5_K_S
* Q6_K
* Q8_0
ReadMe format inspired from [mlabonne](https://huggingf... | {"library_name": "transformers", "tags": ["text-generation-inference", "llama", "llama-2", "code"], "pipeline_tag": "text-generation", "inference": false, "base_model": "codellama/CodeLlama-7b-hf"} | QuantFactory/CodeLlama-7b-hf-GGUF | null | [
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"llama",
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"region:us"
] | null | 2024-04-07T07:49:34+00:00 | [] | [] | TAGS
#transformers #gguf #text-generation-inference #llama #llama-2 #code #text-generation #base_model-codellama/CodeLlama-7b-hf #region-us
|
# CodeLlama-7b-hf-GGUF
- Quantized version of CodeLlama-7b-hf
- Created using URL
## Available Quants
* Q2_K
* Q3_K_L
* Q3_K_M
* Q3_K_S
* Q4_0
* Q4_K_M
* Q4_K_S
* Q5_0
* Q5_K_M
* Q5_K_S
* Q6_K
* Q8_0
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "m... | infinitix/CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-07T07:51:52+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
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. -->
# distilgpt2-finetuned-cybernative
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the No... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-cybernative", "results": []}]} | nebiyuelias1/distilgpt2-finetuned-cybernative | null | [
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"gpt2",
"text-generation",
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"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T07:53:28+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-cybernative
================================
This model is a fine-tuned version of distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0447
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lear... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# instruction_mistral_v0
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "instruction_mistral_v0", "results": []}]} | ShahlaDnshi96/instruction_mistral_v0 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T07:56:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# instruction_mistral_v0
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
"# instruction_mistral_v0\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
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"# instruction_mistral_v0\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.",
"## Model description\n\n... | [
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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/deepseek-ai-deepseek-math-7b-base-bnb-4bit-smashed | null | [
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] | null | 2024-04-07T07:57:07+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# 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 #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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text-generation | transformers |
- just for practice
- trained by transformers, peft, bitsandbytes
- evaluated by https://github.com/davidkim205/kollm_evaluation
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|----------------|------:|------|-----:|--------|-----:|---|------|
|kobest_wic | 1|none | 0|acc |0.50... | {"language": ["ko", "en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["davidkim205/kollm-converations"]} | cockroach54/solar-sft-qlora | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-07T07:58:10+00:00 | [] | [
"ko",
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] | TAGS
#transformers #safetensors #llama #text-generation #ko #en #dataset-davidkim205/kollm-converations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| * just for practice
* trained by transformers, peft, bitsandbytes
* evaluated by URL
| [] | [
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] |
audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deeepfake-audio-c
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "deeepfake-audio-c", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audiofolde... | Hemg/deeepfake-audio-c | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"dataset:audiofolder",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T07:59:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #dataset-audiofolder #base_model-facebook/wav2vec2-base #license-apache-2.0 #model-index #endpoints_compatible #region-us
| deeepfake-audio-c
=================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3276
* Accuracy: 0.9247
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_CalmeInex12
T3qm7xNeuralsirkrishna_CalmeInex12 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/CalmeInex12-7B](https://huggingface.co/automerger/CalmeInex12-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_CalmeInex12", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/CalmeInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/T3qm7xNeuralsirkrishna_CalmeInex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/CalmeInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:00:17+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/CalmeInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_CalmeInex12
T3qm7xNeuralsirkrishna_CalmeInex12 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/CalmeInex12-7B
## Usage
| [
"# T3qm7xNeuralsirkrishna_CalmeInex12\n\nT3qm7xNeuralsirkrishna_CalmeInex12 is a merge of the following models:\n* automerger/T3qm7xNeuralsirkrishna-7B\n* automerger/CalmeInex12-7B",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-2-7b-hf-platypus_vxiii
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "Llama-2-7b-hf-platypus_vxiii", "results": []}]} | NassimB/Llama-2-7b-hf-platypus_vxiii | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-07T08:01:12+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Llama-2-7b-hf-platypus_vxiii
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
"# Llama-2-7b-hf-platypus_vxiii\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trainin... | [
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"## Model description\n\nMore information needed",
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text-generation | transformers |
# MeliodasPercival_01_Experiment26Alloyingotneoy
MeliodasPercival_01_Experiment26Alloyingotneoy is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment26Alloyingotneoy-7B](https://huggingface.co/automerger/Experiment2... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment26Alloyingotneoy", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment26Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/MeliodasPercival_01_Experiment26Alloyingotneoy | null | [
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"mistral",
"text-generation",
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"base_model:automerger/Experiment26Alloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:02:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment26Alloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment26Alloyingotneoy
MeliodasPercival_01_Experiment26Alloyingotneoy is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment26Alloyingotneoy-7B
## Usage
| [
"# MeliodasPercival_01_Experiment26Alloyingotneoy\n\nMeliodasPercival_01_Experiment26Alloyingotneoy is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment26Alloyingotneoy-7B",
"## Usage"
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"# MeliodasPercival_01_Experiment26Alloyingotneoy\... | [
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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-2024-04-07-07-01-30 | null | [
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"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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-kwonseungchan/output_controlnet_pth
These are controlnet weights trained on stabilityai/stable-diffusion-2-1... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | kwonseungchan/output_controlnet_pth | null | [
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"stable-diffusion",
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"controlnet",
"diffusers-training",
"base_model:stabilityai/stable-diffusion-2-1-base",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-07T08:02:38+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #controlnet #diffusers-training #base_model-stabilityai/stable-diffusion-2-1-base #license-creativeml-openrail-m #region-us
|
# controlnet-kwonseungchan/output_controlnet_pth
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Tra... | [
"# controlnet-kwonseungchan/output_controlnet_pth\n\nThese are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.",
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"#### How to use",
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text-generation | transformers |
# Experiment28M7_Percival_01Shadow
Experiment28M7_Percival_01Shadow is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Percival_01Shadow-7B](https://huggingface.co/automerger/Percival_01Shadow-7B)
## 💻 Usage
```python
!pip insta... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Percival_01Shadow", "base_model": ["automerger/Experiment28M7-7B", "automerger/Percival_01Shadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantize... | MaziyarPanahi/Experiment28M7_Percival_01Shadow | null | [
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"base_model:automerger/Percival_01Shadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:03:17+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Percival_01Shadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Percival_01Shadow
Experiment28M7_Percival_01Shadow is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Percival_01Shadow-7B
## Usage
| [
"# Experiment28M7_Percival_01Shadow\n\nExperiment28M7_Percival_01Shadow is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Percival_01Shadow-7B",
"## Usage"
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text-generation | transformers |
# Experiment26Yamshadow_Inex12Experiment28
Experiment26Yamshadow_Inex12Experiment28 is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Inex12Experiment28-7B](https://huggingface.co/automerger/Inex12Experiment28-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Inex12Experiment28", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Inex12Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/Experiment26Yamshadow_Inex12Experiment28 | null | [
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"base_model:automerger/Inex12Experiment28-7B",
"license:apache-2.0",
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/Inex12Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_Inex12Experiment28
Experiment26Yamshadow_Inex12Experiment28 is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Inex12Experiment28-7B
## Usage
| [
"# Experiment26Yamshadow_Inex12Experiment28\n\nExperiment26Yamshadow_Inex12Experiment28 is a merge of the following models:\n* automerger/Experiment26Yamshadow-7B\n* automerger/Inex12Experiment28-7B",
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text-generation | transformers |
# Experiment28T3q_Strangemerges_30Experiment26
Experiment28T3q_Strangemerges_30Experiment26 is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Strangemerges_30Experiment26-7B](https://huggingface.co/automerger/Strangemerges_30Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Strangemerges_30Experiment26", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Strangemerges_30Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/Experiment28T3q_Strangemerges_30Experiment26 | null | [
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"base_model:automerger/Strangemerges_30Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:03:18+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Strangemerges_30Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Strangemerges_30Experiment26
Experiment28T3q_Strangemerges_30Experiment26 is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Strangemerges_30Experiment26-7B
## Usage
| [
"# Experiment28T3q_Strangemerges_30Experiment26\n\nExperiment28T3q_Strangemerges_30Experiment26 is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/Strangemerges_30Experiment26-7B",
"## Usage"
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visual-question-answering | transformers |
<p align="center">
<img src="logo_4k_en.png" width="600"/>
<p>
<p align="center">
<b><font size="6">InternLM-XComposer2-4KHD</font></b>
<p>
<div align="center">
[💻Github Repo](https://github.com/InternLM/InternLM-XComposer)
[Paper](https://arxiv.org/abs/2401.16420)
</div>
**InternLM-XComposer2-4KHD** ... | {"license": "other", "pipeline_tag": "visual-question-answering"} | internlm/internlm-xcomposer2-4khd-7b | null | [
"transformers",
"pytorch",
"internlmxcomposer2",
"text-generation",
"visual-question-answering",
"custom_code",
"arxiv:2401.16420",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T08:03:48+00:00 | [
"2401.16420"
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#transformers #pytorch #internlmxcomposer2 #text-generation #visual-question-answering #custom_code #arxiv-2401.16420 #license-other #autotrain_compatible #endpoints_compatible #region-us
|
<p align="center">
<img src="logo_4k_en.png" width="600"/>
<p>
<p align="center">
<b><font size="6">InternLM-XComposer2-4KHD</font></b>
<p>
<div align="center">
Github Repo
Paper
</div>
InternLM-XComposer2-4KHD is a general vision-language large model (VLLM) based on InternLM2, with the capability of 4... | [
"### Import from Transformers\nTo load the InternLM-XComposer2-4KHD model using Transformers, use the following code:",
"## Quickstart\nWe provide a simple example to show how to use InternLM-XComposer with Transformers.",
"### Open Source License\nThe code is licensed under Apache-2.0, while model weights are... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v... | infinitix/Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-07T08:04:16+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
null | diffusers | # A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
### [Project Page](https://powerpaint.github.io/) | [Paper](https://arxiv.org/abs/2312.03594) | [Online Demo(OpenXlab)](https://openxlab.org.cn/apps/detail/rangoliu/PowerPaint#basic-information)
This README provides a s... | {"license": "apache-2.0"} | JunhaoZhuang/PowerPaint_v2 | null | [
"diffusers",
"safetensors",
"arxiv:2312.03594",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T08:07:41+00:00 | [
"2312.03594"
] | [] | TAGS
#diffusers #safetensors #arxiv-2312.03594 #license-apache-2.0 #region-us
| A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
================================================================================================
### Project Page | Paper | Online Demo(OpenXlab)
This README provides a step-by-step guide to download the repository, set... | [
"### Project Page | Paper | Online Demo(OpenXlab)\n\n\nThis README provides a step-by-step guide to download the repository, set up the required virtual environment named \"PowerPaint\" using conda, and run PowerPaint with or without ControlNet.\n\n\nFeel free to try it and give it a star!:star:\n\n\nNews\n----\n\n... | [
"TAGS\n#diffusers #safetensors #arxiv-2312.03594 #license-apache-2.0 #region-us \n",
"### Project Page | Paper | Online Demo(OpenXlab)\n\n\nThis README provides a step-by-step guide to download the repository, set up the required virtual environment named \"PowerPaint\" using conda, and run PowerPaint with or wit... | [
31,
403
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"TAGS\n#diffusers #safetensors #arxiv-2312.03594 #license-apache-2.0 #region-us \n### Project Page | Paper | Online Demo(OpenXlab)\n\n\nThis README provides a step-by-step guide to download the repository, set up the required virtual environment named \"PowerPaint\" using conda, and run PowerPaint with or without C... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-0.5k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-0.5k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-0.5k | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-07T08:08:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-0.5k
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# phi-1_5-finetuned-aqua-rat-0.5k\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proc... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | fyl1/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T08:08:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2215
* Accuracy: 0.9285
* F1: 0.9284
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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* num\\_epochs: 2",
"### Traini... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "mit", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Featherlite-Beta-v0.4", "results": []}]} | hvadaparty/Featherlite-Beta-v0.4 | null | [
"peft",
"safetensors",
"mistral",
"axolotl",
"generated_from_trainer",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"license:mit",
"4-bit",
"region:us"
] | null | 2024-04-07T08:14:14+00:00 | [] | [] | TAGS
#peft #safetensors #mistral #axolotl #generated_from_trainer #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #4-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
Featherlite-Beta-v0.4
=====================
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/migtissera/Tess-34B-v1.5b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tess-34B-v1.5b-... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "migtissera/Tess-34B-v1.5b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Tess-34B-v1.5b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:migtissera/Tess-34B-v1.5b",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T08:17:24+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-migtissera/Tess-34B-v1.5b #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-migtissera/Tess-34B-v1.5b #license-other #endpoints_compatible #region-us \n"
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] |
null | transformers |
# Uploaded model
- **Developed by:** BachNgoH
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | BachNgoH/Gemma_7B_Citation | null | [
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"unsloth",
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"trl",
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"base_model:unsloth/gemma-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T08:18:02+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: BachNgoH
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ChuckMcSneed/WinterGoddess-1.4x-70b-32k
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/W... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "ChuckMcSneed/WinterGoddess-1.4x-70b-32k", "quantized_by": "mradermacher"} | mradermacher/WinterGoddess-1.4x-70b-32k-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:ChuckMcSneed/WinterGoddess-1.4x-70b-32k",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T08:19:24+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-ChuckMcSneed/WinterGoddess-1.4x-70b-32k #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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55
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] |
text-generation | transformers |
# T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna
T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/PasticheNeuralsirkrishna-7B](https://huggingface.co/automerger/Pasti... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/PasticheNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/T3qm7xNeuralsirkrishna-7B",
"base_model:automerger/PasticheNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:20:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/PasticheNeuralsirkrishna-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna
T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/PasticheNeuralsirkrishna-7B
## Usage
| [
"# T3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna\n\nT3qm7xNeuralsirkrishna_PasticheNeuralsirkrishna is a merge of the following models:\n* automerger/T3qm7xNeuralsirkrishna-7B\n* automerger/PasticheNeuralsirkrishna-7B",
"## Usage"
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text-generation | transformers |
# MeliodasPercival_01_Inex12Yam
MeliodasPercival_01_Inex12Yam is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Inex12Yam-7B](https://huggingface.co/automerger/Inex12Yam-7B)
## 💻 Usage
```python
!pip install -qU trans... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Inex12Yam", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Inex12Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by":... | MaziyarPanahi/MeliodasPercival_01_Inex12Yam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Inex12Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:21:37+00:00 | [] | [] | TAGS
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|
# MeliodasPercival_01_Inex12Yam
MeliodasPercival_01_Inex12Yam is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Inex12Yam-7B
## Usage
| [
"# MeliodasPercival_01_Inex12Yam\n\nMeliodasPercival_01_Inex12Yam is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Inex12Yam-7B",
"## Usage"
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null | null |
Test fine-tunes of tortoise [mrq repo](https://git.ecker.tech/mrq/ai-voice-cloning).
To use, place in "ai-voice-cloning/models/finetunes" and select from settings.
# 100_gpt.pth
* Trained on augmented dataset of ~10 10 second clips
* Trained for 100 steps
* Cut-off prematurely, will attempt more steps | {"license": "apache-2.0"} | 922-CA/monika-tortoise-tests | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T08:21:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Test fine-tunes of tortoise mrq repo.
To use, place in "ai-voice-cloning/models/finetunes" and select from settings.
# 100_gpt.pth
* Trained on augmented dataset of ~10 10 second clips
* Trained for 100 steps
* Cut-off prematurely, will attempt more steps | [
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] |
text-generation | transformers |
# Experiment28T3q_OgnoPastiche
Experiment28T3q_OgnoPastiche is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/OgnoPastiche-7B](https://huggingface.co/automerger/OgnoPastiche-7B)
## 💻 Usage
```python
!pip install -qU transform... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_OgnoPastiche", "base_model": ["automerger/Experiment28T3q-7B", "automerger/OgnoPastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "... | MaziyarPanahi/Experiment28T3q_OgnoPastiche | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28T3q-7B",
"base_model:automerger/OgnoPastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:22:38+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/OgnoPastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_OgnoPastiche
Experiment28T3q_OgnoPastiche is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/OgnoPastiche-7B
## Usage
| [
"# Experiment28T3q_OgnoPastiche\n\nExperiment28T3q_OgnoPastiche is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/OgnoPastiche-7B",
"## Usage"
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text-generation | transformers |
# Experiment26Yamshadow_Experiment24Alloyingotneoy
Experiment26Yamshadow_Experiment24Alloyingotneoy is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/Experiment24Alloyingotneoy-7B](https://huggingface.co/automerger/Exp... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_Experiment24Alloyingotneoy", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/Experiment24Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/Experiment26Yamshadow_Experiment24Alloyingotneoy | null | [
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"base_model:automerger/Experiment24Alloyingotneoy-7B",
"license:apache-2.0",
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"region:us"
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|
# Experiment26Yamshadow_Experiment24Alloyingotneoy
Experiment26Yamshadow_Experiment24Alloyingotneoy is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/Experiment24Alloyingotneoy-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# Experiment28M7_Experiment26Shadow
Experiment28M7_Experiment26Shadow is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment26Shadow-7B](https://huggingface.co/automerger/Experiment26Shadow-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment26Shadow", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment26Shadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_Experiment26Shadow | null | [
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"base_model:automerger/Experiment26Shadow-7B",
"license:apache-2.0",
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Experiment26Shadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Experiment26Shadow
Experiment28M7_Experiment26Shadow is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment26Shadow-7B
## Usage
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | team-sanai/gpt2_seed_0.1B_o_attn_freeze_wiki | null | [
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | null |
# LeroyDyer/Mixtral_AI_CyberBrain_Coder-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_Coder`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_Coder) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to ... | {"tags": ["llama-cpp", "gguf-my-repo"]} | LeroyDyer/Mixtral_AI_CyberBrain_Coder-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# LeroyDyer/Mixtral_AI_CyberBrain_Coder-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_Coder' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the ... | [
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null | null | #Readme | {} | asthomas/finetuned | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zhaospei/hinny-coder | null | [
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"arxiv:1910.09700",
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#transformers #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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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question-answering | transformers |
## SQuAD-it Evaluation
The Stanford Question Answering Dataset (SQuAD) in Italian (SQuAD-it) is used to evaluate the model's reading comprehension and question-answering capabilities. The following table presents the F1 score and Exact Match (EM) metrics:
| Model | F1 Score | E... | {"language": ["it"], "license": "apache-2.0", "datasets": ["DeepMount00/gquad_it"], "pipeline_tag": "question-answering"} | DeepMount00/mamba_790_hf_qa | null | [
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| SQuAD-it Evaluation
-------------------
The Stanford Question Answering Dataset (SQuAD) in Italian (SQuAD-it) is used to evaluate the model's reading comprehension and question-answering capabilities. The following table presents the F1 score and Exact Match (EM) metrics:
Model: DeepMount00/Gemma\_QA\_ITA\_v3, F1 S... | [] | [
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text-to-image | diffusers | ### The-Beauty-of-BFY Dreambooth model trained by SaraBuilders following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: BEC20CSE017
Sample pictures of this concept:
.jpg)
... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | SaraBuilders/the-beauty-of-bfy | null | [
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| ### The-Beauty-of-BFY Dreambooth model trained by SaraBuilders following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: BEC20CSE017
Sample pictures of this concept:
!0.jpg)
!1.jpg)
!2.jpg)
!3.jpg)
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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/Uncle55 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <div style="width: 100%;">
<p align="center">
<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" width="20%" style="display: inline-block;"></img>
<img src="https://www.sofya.ai/logo.svg" alt="Sofya" width="20%" style="display: inline-block;"></img>
</p>
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<p align="center... | {"language": ["zh", "en"], "license": "apache-2.0"} | TigerResearch/SoftTiger-13b | null | [
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<font face="黑体" size=5"> A cutting-edge foundation for your very own... | [
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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": []} | JFernandoGRE/mistral_7b_augmenteddemocracy_dups_all4_age | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
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- License... | [
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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/Bert_Toxicity_Classification | null | [
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"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | mrbesher/Reinforce-Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-07T08:34:15+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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text-generation | transformers | GPT2-IMDB is trained on IMDB dataset to generate a review for the given movie name(generates positive and negative reviews).
```py
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="pt-sk/gpt2-imdb")
```
```py
# Load model directly
from transformers im... | {"license": "mit"} | pt-sk/gpt2-imdb | null | [
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"jax",
"gpt2",
"text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #pytorch #jax #gpt2 #text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPT2-IMDB is trained on IMDB dataset to generate a review for the given movie name(generates positive and negative reviews).
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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/allenai-tulu-2-7b-bnb-8bit-smashed | null | [
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"text-generation",
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"region:us"
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#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;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# 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... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-500epochs-LoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sha... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-500epochs-LoRA-FreedomIntelligence-indo-2e-4", "results": []}]} | hanifsyarubany10/mistral-7b-500epochs-LoRA-FreedomIntelligence-indo-2e-4 | null | [
"peft",
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"safetensors",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# mistral-7b-500epochs-LoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_Experiment29Pastiche
T3qm7xNeuralsirkrishna_Experiment29Pastiche is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/Experiment29Pastiche-7B](https://huggingface.co/automerger/Experiment29Pasti... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_Experiment29Pastiche", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/Experiment29Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment29Pastiche | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"merge",
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"base_model:automerger/Experiment29Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:44:15+00:00 | [] | [] | TAGS
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|
# T3qm7xNeuralsirkrishna_Experiment29Pastiche
T3qm7xNeuralsirkrishna_Experiment29Pastiche is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/Experiment29Pastiche-7B
## Usage
| [
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text-generation | transformers |
# Experiment28T3q_Experiment27Yam
Experiment28T3q_Experiment27Yam is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Experiment27Yam-7B](https://huggingface.co/automerger/Experiment27Yam-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Experiment27Yam", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Experiment27Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/Experiment28T3q_Experiment27Yam | null | [
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"base_model:automerger/Experiment27Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
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] | null | 2024-04-07T08:44:15+00:00 | [] | [] | TAGS
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|
# Experiment28T3q_Experiment27Yam
Experiment28T3q_Experiment27Yam is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Experiment27Yam-7B
## Usage
| [
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text-generation | transformers |
# MeliodasPercival_01_NeuralsirkrishnaM7
MeliodasPercival_01_NeuralsirkrishnaM7 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/NeuralsirkrishnaM7-7B](https://huggingface.co/automerger/NeuralsirkrishnaM7-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_NeuralsirkrishnaM7", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/NeuralsirkrishnaM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/MeliodasPercival_01_NeuralsirkrishnaM7 | null | [
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"base_model:automerger/NeuralsirkrishnaM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:44:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/NeuralsirkrishnaM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_NeuralsirkrishnaM7
MeliodasPercival_01_NeuralsirkrishnaM7 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/NeuralsirkrishnaM7-7B
## Usage
| [
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text-generation | transformers |
# Experiment28M7_Inex12Experiment26
Experiment28M7_Inex12Experiment26 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Inex12Experiment26-7B](https://huggingface.co/automerger/Inex12Experiment26-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Inex12Experiment26", "base_model": ["automerger/Experiment28M7-7B", "automerger/Inex12Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_Inex12Experiment26 | null | [
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"base_model:automerger/Inex12Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T08:44:49+00:00 | [] | [] | TAGS
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|
# Experiment28M7_Inex12Experiment26
Experiment28M7_Inex12Experiment26 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Inex12Experiment26-7B
## Usage
| [
"# Experiment28M7_Inex12Experiment26\n\nExperiment28M7_Inex12Experiment26 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Inex12Experiment26-7B",
"## Usage"
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"# Experiment28M7_Inex12Experiment26\n\nExperiment28M7_Inex12Ex... | [
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text-generation | transformers |
# Experiment26Yamshadow_CalmeInex12
Experiment26Yamshadow_CalmeInex12 is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/CalmeInex12-7B](https://huggingface.co/automerger/CalmeInex12-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_CalmeInex12", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/CalmeInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment26Yamshadow_CalmeInex12 | null | [
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|
# Experiment26Yamshadow_CalmeInex12
Experiment26Yamshadow_CalmeInex12 is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/CalmeInex12-7B
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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text-generation | transformers |
# GemmaColRAC-AeroExpertV4 🛫
## Trained from the RAC Colombia dataset 🛫
Este documento proporciona una visión general de `GemmaColRAC-AeroExpertV4`, la cuarta versión de nuestro modelo de lenguaje especializado en regulaciones aeronáuticas colombianas. Esta versión representa un avance importante gracias a la mejora... | {"language": ["es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "LLMs-Aviation", "AI-Regulatory-Compliance", "RAC-AI-Colombia"], "datasets": ["somosnlp/ColombiaRAC_FullyCurated"], "widget": [{"text": "<bos><start_of_turn>system\\n\\nYou are a helpful AI assistant.\\n\\nResponde en form... | somosnlp/GemmaColRAC-AeroExpertV4 | null | [
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# GemmaColRAC-AeroExpertV4
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | ADG-2353/poca-SoccerTwos | null | [
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# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
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The Documentation: URL
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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
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# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-mteb-sentiment
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-finetuned-mteb-sentiment", "results": []}]} | lyrisha/bert-finetuned-mteb-sentiment | null | [
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|
# bert-finetuned-mteb-sentiment
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers | <!-- header start -->
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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">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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null | null |
## **Project: Seed Phrases List**
This repository contains a large dataset of seed phrases, distributed across three files for a total of approximately 9 million phrases. Due to their size, these files are hosted on Hugging Face. **Please exercise extreme caution when utilizing this data.**
* HuggingFace Dataset: [S... | {"language": ["en"], "license": "apache-2.0"} | LAYEK-143/seed-phrases-list | null | [
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## Project: Seed Phrases List
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<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/jphme-em_german_leo_mistral-bnb-8bit-smashed | null | [
"transformers",
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] | null | 2024-04-07T09:02:40+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# 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-generation | transformers |
# MeliodasPercival_01_Experiment26Experiment28
MeliodasPercival_01_Experiment26Experiment28 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment26Experiment28-7B](https://huggingface.co/automerger/Experiment26Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment26Experiment28", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment26Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/MeliodasPercival_01_Experiment26Experiment28 | null | [
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"base_model:automerger/Experiment26Experiment28-7B",
"license:apache-2.0",
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] | null | 2024-04-07T09:06:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment26Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment26Experiment28
MeliodasPercival_01_Experiment26Experiment28 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment26Experiment28-7B
## Usage
| [
"# MeliodasPercival_01_Experiment26Experiment28\n\nMeliodasPercival_01_Experiment26Experiment28 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment26Experiment28-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment26Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
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text-generation | transformers |
# Experiment28M7_T3qm7xExperiment26
Experiment28M7_T3qm7xExperiment26 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/T3qm7xExperiment26-7B](https://huggingface.co/automerger/T3qm7xExperiment26-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_T3qm7xExperiment26", "base_model": ["automerger/Experiment28M7-7B", "automerger/T3qm7xExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_T3qm7xExperiment26 | null | [
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"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/T3qm7xExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:06:01+00:00 | [] | [] | TAGS
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|
# Experiment28M7_T3qm7xExperiment26
Experiment28M7_T3qm7xExperiment26 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/T3qm7xExperiment26-7B
## Usage
| [
"# Experiment28M7_T3qm7xExperiment26\n\nExperiment28M7_T3qm7xExperiment26 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/T3qm7xExperiment26-7B",
"## Usage"
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"# Experiment28M7_T3qm7xExperiment26\n\nExperiment28M7_T3qm7xEx... | [
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text-generation | transformers |
# Experiment26Yamshadow_PasticheNeuralsirkrishna
Experiment26Yamshadow_PasticheNeuralsirkrishna is a merge of the following models:
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
* [automerger/PasticheNeuralsirkrishna-7B](https://huggingface.co/automerger/PasticheN... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yamshadow_PasticheNeuralsirkrishna", "base_model": ["automerger/Experiment26Yamshadow-7B", "automerger/PasticheNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/Experiment26Yamshadow_PasticheNeuralsirkrishna | null | [
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"base_model:automerger/PasticheNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:06:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Yamshadow-7B #base_model-automerger/PasticheNeuralsirkrishna-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Yamshadow_PasticheNeuralsirkrishna
Experiment26Yamshadow_PasticheNeuralsirkrishna is a merge of the following models:
* automerger/Experiment26Yamshadow-7B
* automerger/PasticheNeuralsirkrishna-7B
## Usage
| [
"# Experiment26Yamshadow_PasticheNeuralsirkrishna\n\nExperiment26Yamshadow_PasticheNeuralsirkrishna is a merge of the following models:\n* automerger/Experiment26Yamshadow-7B\n* automerger/PasticheNeuralsirkrishna-7B",
"## Usage"
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"# Experiment26Yamshadow_PasticheNeuralsirkrishna\... | [
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text-generation | transformers |
# Experiment28T3q_Strangemerges_30Pastiche
Experiment28T3q_Strangemerges_30Pastiche is a merge of the following models:
* [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
* [automerger/Strangemerges_30Pastiche-7B](https://huggingface.co/automerger/Strangemerges_30Pastiche-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Strangemerges_30Pastiche", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Strangemerges_30Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/Experiment28T3q_Strangemerges_30Pastiche | null | [
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"mistral",
"text-generation",
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"base_model:automerger/Strangemerges_30Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:06:10+00:00 | [] | [] | TAGS
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|
# Experiment28T3q_Strangemerges_30Pastiche
Experiment28T3q_Strangemerges_30Pastiche is a merge of the following models:
* automerger/Experiment28T3q-7B
* automerger/Strangemerges_30Pastiche-7B
## Usage
| [
"# Experiment28T3q_Strangemerges_30Pastiche\n\nExperiment28T3q_Strangemerges_30Pastiche is a merge of the following models:\n* automerger/Experiment28T3q-7B\n* automerger/Strangemerges_30Pastiche-7B",
"## Usage"
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/gopnik01no](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/gopnik01no", "coffie3/sa9"]} | Sumail/Barista32 | null | [
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] | null | 2024-04-07T09:06:35+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/gopnik01no
* coffie3/sa9
### Configuration
The following YAML co... | [
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"### Models Merged\n\nThe following models were included in the merge:\n* GamblerOnTrain/gopnik01no\n* coffie3/sa9",
"### Config... | [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy
T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/PasticheAlloyingotneoy-7B](https://huggingface.co/automerger/PasticheAll... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/PasticheAlloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy | null | [
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"base_model:automerger/PasticheAlloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-07T09:07:08+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy
T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/PasticheAlloyingotneoy-7B
## Usage
| [
"# T3qm7xNeuralsirkrishna_PasticheAlloyingotneoy\n\nT3qm7xNeuralsirkrishna_PasticheAlloyingotneoy is a merge of the following models:\n* automerger/T3qm7xNeuralsirkrishna-7B\n* automerger/PasticheAlloyingotneoy-7B",
"## Usage"
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text-generation | transformers |
# Model Card for Model ID
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | haibh/TinyLlamaText2SQL_HASRND | null | [
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"1910.09700"
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mobile_mistral_3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mobile_mistral_3", "results": []}]} | ShahlaDnshi96/mobile_mistral_3 | null | [
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|
# mobile_mistral_3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deeepfake-audio-16
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "deeepfake-audio-16", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audiofold... | Hemg/deeepfake-audio-16 | null | [
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| deeepfake-audio-16
==================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6954
* Accuracy: 0.4624
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-5e-8-margin-1-epoch-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Senten... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-lr-5e-8-margin-1-epoch-3 | null | [
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|
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-5e-8-margin-1-epoch-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you ha... | [
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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": []} | devbuzz142/cp05-pretrain-gpt2-ALL-NNN4-split-13epoch | 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]:
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