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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... | francisco-perez-sorrosal/CartPole-v1 | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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. -->
# model-vit-base-finetuned
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "model-vit-base-finetuned", "results": []}]} | aliciiavs/model-vit-base-finetuned | null | [
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| model-vit-base-finetuned
========================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2209
* Accuracy: 0.785
Model description
-----------------
More information needed
Intended uses & limit... | [
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text-generation | transformers |
<img src="https://mymaia.ai/images/magiq3.jpg" alt="Magiq 3 Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Magiq 3
Magiq 3 as a Mixture of Experts (MoE)
The MoE architecture of Magiq 3 combines the specialized capabilities of MAGIQ Core-0, MAGIQ Translator-0, an... | {"language": ["en", "it", "fr"], "license": "apache-2.0", "tags": ["italian", "french", "nlp", "text-generation", "moe", "mixture of experts"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | mymaia/Magiq-3 | null | [
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|
<img src="URL alt="Magiq 3 Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Magiq 3
Magiq 3 as a Mixture of Experts (MoE)
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment24Shadow
M7Yamshadowexperiment28_Experiment24Shadow is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment24Shadow-7B](https://huggingface.co/automerger/Experiment24Shadow-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment24Shadow", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment24Shadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment24Shadow | null | [
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|
# M7Yamshadowexperiment28_Experiment24Shadow
M7Yamshadowexperiment28_Experiment24Shadow is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment24Shadow-7B
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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null | transformers |
# Uploaded model
- **Developed by:** smsaurabhv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | smsaurabhv/mistralproject | null | [
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# Uploaded model
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_51 | 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": []} | tomaszki/stablelm-17-b | null | [
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text-generation | transformers |
<img src="https://mymaia.ai/images/logic0.jpg" alt="Magiq Logic Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Magiq Logic 0
Magiq Logic 0 is dedicated to the logical and analytical aspects of MAIA’s intelligence.
It evaluates information, makes reasoned judgme... | {"language": ["en", "it", "fr"], "license": "apache-2.0", "tags": ["italian", "french", "nlp", "text-generation"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | mymaia/Magiq-Logic-0 | null | [
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<img src="URL alt="Magiq Logic Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Magiq Logic 0
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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": []} | tistak/sn6_0 | 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": []} | helftree/50a1edb7 | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Tiny Ru
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the C... | {"language": ["ru"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_14_0"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny Ru", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Sp... | whitemouse84/whisper-tiny-ru | null | [
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| Whisper Tiny Ru
===============
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4739
* Wer: 188.7957
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<img src="https://mymaia.ai/images/translator0.jpg" alt="Magiaq M0 Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Magiq Translator 0
Magiq Translator 0 is the linguistic adapter in the Magiq3 architecture, responsible for breaking down language barriers.
It tra... | {"language": ["en", "it", "fr"], "license": "apache-2.0", "tags": ["italian", "french", "nlp", "text-generation"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | mymaia/Magiq-Translator-0 | null | [
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|
<img src="URL alt="Magiaq M0 Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Magiq Translator 0
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sentence-similarity | sentence-transformers |
# mingbao2020/distilroberta-base-nli-2d-matryoshka
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)
... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mingbao2020/distilroberta-base-nli-2d-matryoshka | null | [
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|
# mingbao2020/distilroberta-base-nli-2d-matryoshka
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)
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text-generation | transformers |
# BioLing-7B-Dare
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/b... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "BioMistral/BioMistral-7B", "Nexusflow/Starling-LM-7B-beta"], "base_model": ["BioMistral/BioMistral-7B", "Nexusflow/Starling-LM-7B-beta"]} | johnsnowlabs/BioLing-7B-Dare | null | [
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# BioLing-7B-Dare
<img src="URL
This model is developed by John Snow Labs.
This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at info@URL.
## Configuration
## Usage
## Evaluation
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null | transformers |
Model associated with https://github.com/kblomdahl/hugging_go.
It is a combined `CasualLM` and `SequenceClassification` model (based on Mistral) which given a sequence of game moves in a modified A1 algebraic notation [1] (with the player prefixed to each token), predict the winner and the next token.
Example input:... | {"license": "apache-2.0"} | kblomdahl/hugging_go | null | [
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|
Model associated with URL
It is a combined 'CasualLM' and 'SequenceClassification' model (based on Mistral) which given a sequence of game moves in a modified A1 algebraic notation [1] (with the player prefixed to each token), predict the winner and the next token.
Example input:
[1] URL | [] | [
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sentence-similarity | sentence-transformers |
# mingbao2020/distilbert-base-uncased-sts-2d-matryoshka
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-Transform... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mingbao2020/distilbert-base-uncased-sts-2d-matryoshka | null | [
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|
# mingbao2020/distilbert-base-uncased-sts-2d-matryoshka
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)
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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": []} | mscheny/mine6_0 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Experiment28M7_YamShadow
Experiment28M7_YamShadow is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/YamShadow-7B](https://huggingface.co/automerger/YamShadow-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_YamShadow", "base_model": ["automerger/Experiment28M7-7B", "automerger/YamShadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarP... | MaziyarPanahi/Experiment28M7_YamShadow | null | [
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|
# Experiment28M7_YamShadow
Experiment28M7_YamShadow is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/YamShadow-7B
## Usage
| [
"# Experiment28M7_YamShadow\n\nExperiment28M7_YamShadow is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/YamShadow-7B",
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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": []} | solakim/Doug-Mistral-V2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T19:19:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### 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 #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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null | null | CUDA builds of llama.cpp for Colab. Will update whenever something cool comes out. | {} | Inv/llama-cpp-colab | null | [
"region:us"
] | null | 2024-04-08T19:19:46+00:00 | [] | [] | TAGS
#region-us
| CUDA builds of URL for Colab. Will update whenever something cool comes out. | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
text-generation | transformers |
# 🌟⚛ Introducing Quark Series: Empowering Edge Devices with Swift Bilingual Conversational AI
Presenting Quark-620M-v0.1.alpha, the first model in our Quark series.
Quark models focus on delivering exceptional English and Chinese conversational performance on edge devices with rapid inference speed.
# 🗨 Example
... | {"language": ["zh", "en"], "license": "other", "library_name": "transformers", "datasets": ["Open-Orca/OpenOrca"], "pipeline_tag": "text-generation", "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "model-index": [{"name": "Quark-464M-v0.1.alpha", ... | raincandy-u/Quark-464M-v0.1.alpha | null | [
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"text-generation",
"conversational",
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"en",
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"license:other",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T19:19:57+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #zh #en #dataset-Open-Orca/OpenOrca #license-other #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| Introducing Quark Series: Empowering Edge Devices with Swift Bilingual Conversational AI
========================================================================================
Presenting Quark-620M-v0.1.alpha, the first model in our Quark series.
Quark models focus on delivering exceptional English and Chinese co... | [] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #zh #en #dataset-Open-Orca/OpenOrca #license-other #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n"
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/varox34/darwin-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week... | {"language": ["en"], "library_name": "transformers", "base_model": "varox34/darwin-7B", "quantized_by": "mradermacher"} | mradermacher/darwin-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:varox34/darwin-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T19:20:26+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-varox34/darwin-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-varox34/darwin-7B #endpoints_compatible #region-us \n"
] | [
31
] | [
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] |
text-generation | transformers |
# MeliodasPercival_01_Experiment24Experiment28
MeliodasPercival_01_Experiment24Experiment28 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment24Experiment28-7B](https://huggingface.co/automerger/Experiment24Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment24Experiment28", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment24Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/MeliodasPercival_01_Experiment24Experiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Experiment24Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T19:24:43+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment24Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment24Experiment28
MeliodasPercival_01_Experiment24Experiment28 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment24Experiment28-7B
## Usage
| [
"# MeliodasPercival_01_Experiment24Experiment28\n\nMeliodasPercival_01_Experiment24Experiment28 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment24Experiment28-7B",
"## Usage"
] | [
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text-generation | transformers |
# YamshadowInex12_T3qM7
YamshadowInex12_T3qM7 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/T3qM7-7B](https://huggingface.co/automerger/T3qM7-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transfo... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_T3qM7", "base_model": ["automerger/YamshadowInex12-7B", "automerger/T3qM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"... | MaziyarPanahi/YamshadowInex12_T3qM7 | null | [
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"safetensors",
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"Safetensors",
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"base_model:automerger/T3qM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T19:25:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/T3qM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_T3qM7
YamshadowInex12_T3qM7 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/T3qM7-7B
## Usage
| [
"# YamshadowInex12_T3qM7\n\nYamshadowInex12_T3qM7 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/T3qM7-7B",
"## Usage"
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment24Shadow
NeuralsirkrishnaShadow_Experiment24Shadow is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment24Shadow-7B](https://huggingface.co/automerger/Experiment24Shadow-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment24Shadow", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment24Shadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment24Shadow | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Experiment24Shadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T19:25:27+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment24Shadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Experiment24Shadow
NeuralsirkrishnaShadow_Experiment24Shadow is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment24Shadow-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment24Shadow\n\nNeuralsirkrishnaShadow_Experiment24Shadow is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment24Shadow-7B",
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"# NeuralsirkrishnaShadow_Experiment24Shadow\n\nNeurals... | [
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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-multilingual-cased-Razones_Especificas_Esp
This model is a fine-tuned version of [distilbert-base-multilingual-c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "distilbert-base-multilingual-cased-Razones_Especificas_Esp", "results": []}]} | rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp | null | [
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"tensorboard",
"distilbert",
"text-classification",
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-08T19:25:29+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-multilingual-cased-Razones\_Especificas\_Esp
============================================================
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2710
* Accuracy: 0.8938
Model d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\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",
"### Traini... | [
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"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\... |
text-generation | transformers |
# M7Yamshadowexperiment28_Strangemerges_32Yam
M7Yamshadowexperiment28_Strangemerges_32Yam is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Strangemerges_32Yam-7B](https://huggingface.co/automerger/Strangemerges_32... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Strangemerges_32Yam", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Strangemerges_32Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/M7Yamshadowexperiment28_Strangemerges_32Yam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Strangemerges_32Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T19:25:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Strangemerges_32Yam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Strangemerges_32Yam
M7Yamshadowexperiment28_Strangemerges_32Yam is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Strangemerges_32Yam-7B
## Usage
| [
"# M7Yamshadowexperiment28_Strangemerges_32Yam\n\nM7Yamshadowexperiment28_Strangemerges_32Yam is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Strangemerges_32Yam-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Strangemerges_32Yam-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_Strangemerges_32Yam\n\nM7Y... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment26Experiment28
YamshadowStrangemerges_32_Experiment26Experiment28 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment26Experiment28-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment26Experiment28", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment26Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipelin... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment26Experiment28 | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/Experiment26Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T19:25:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Experiment26Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Experiment26Experiment28
YamshadowStrangemerges_32_Experiment26Experiment28 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment26Experiment28-7B
## Usage
| [
"# YamshadowStrangemerges_32_Experiment26Experiment28\n\nYamshadowStrangemerges_32_Experiment26Experiment28 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/Experiment26Experiment28-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Experiment26Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowStrangemerges_32_Experiment26Exper... | [
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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": []} | Yasusan/test_Mistral_04092 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # CodeGemma-2B-Slerp-dora
<!-- Provide a quick summary of what the model is/does. -->
CodeGemma-2B-Slerp-dora is a DPO fine-tuned of [johnsnowlabs/CodeGemma-2B-Slerp](https://huggingface.co/johnsnowla... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "datasets": ["argilla/distilabel-intel-orca-dpo-pairs"], "base_model": "johnsnowlabs/CodeGemma-2B-Slerp", "pipeline_tag": "text-... | johnsnowlabs/CodeGemma-2B-dora | null | [
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!image/png
CodeGemma-2B-Slerp-dora is a DPO fine-tuned of johnsnowlabs/CodeGemma-2B-Slerp on argilla/distilabel-intel-orca-dpo-pairs preference dataset using DoRA. The model has been trained for 1080 steps. All hyperparams are given below.
## Evaluation results
### Coming Soom
## Usage
... | [
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text-generation | transformers |
# BenchmarkEngineering-F2-7B-slerp
This merge seeks to further improve on the original BenchmarkEngineering by integrating the Westlake-7B-v2 model. It does boost the Winogrande score but at the cost of the other benchmarks.
BenchmarkEngineering-F2-7B-slerp is a merge of the following models using [LazyMergekit](htt... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit", "weezywitasneezy/BenchmarkEngineering-7B-slerp", "senseable/WestLake-7B-v2"], "base_model": ["weezywitasneezy/BenchmarkEngineering-7B-slerp", "senseable/WestLake-7B-v2"], "model-index": [{"name": "BenchmarkEngineering-F2-7B-slerp", "results": [{"... | weezywitasneezy/BenchmarkEngineering-F2-7B-slerp | null | [
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================================
This merge seeks to further improve on the original BenchmarkEngineering by integrating the Westlake-7B-v2 model. It does boost the Winogrande score but at the cost of the other benchmarks.
BenchmarkEngineering-F2-7B-slerp is a merge of the following... | [] | [
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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. -->
# PhiMerge-2.7B-Dare-daser
![image/png](https://cdn-uploads.huggingface.co/production/uploads/660cfe98280a82e38fe4ef49/yToMeQHvr5CJ... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generated_from_trainer", "Phi", "axolotl", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "Johnsnowlabs/PhiMerge-2.7B-Dare",... | johnsnowlabs/PhiMerge-2.7B-Dare-daser | null | [
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"base_model:Johnsnowlab... | null | 2024-04-08T19:32:47+00:00 | [] | [
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# PhiMerge-2.7B-Dare-daser
!image/png
PhiMerge-2.7B-Dare-daser is a mixture of two techniques that are LaserQlora and Dora. This model is a DPO fine-tuned of johnsnowlabs/PhiMerge-2.7B-Dare using the argilla/distilabel-capybara-dpo-7k-binarized preference dataset. The model has been trained on top 16 projections (q... | [
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text-generation | transformers |
# xxx model card
<!-- Provide a quick summary of what the model is/does. -->
**Dear reviewers, this is a one of the pretrained/finetuned versions of xxx. You can freely download it by sending an anonymized request respecting the secret condition mentioned in the paper.**
xxx is a LMM (Large **M**usic Model) design... | {"license": "apache-2.0"} | l1v6RWdpLP/pe5z8-500m-pop | null | [
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# xxx model card
Dear reviewers, this is a one of the pretrained/finetuned versions of xxx. You can freely download it by sending an anonymized request respecting the secret condition mentioned in the paper.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ManiWavelabs/phi2_LoRA_64_128_5epochs | null | [
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"1910.09700"
] | [] | TAGS
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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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) on a... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "results", "results": []}]} | rodgo1314/results | null | [
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# results
This model is a fine-tuned version of microsoft/DialoGPT-medium on an unknown dataset.
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More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers | MLX Quant of abacusai/Liberated-Qwen1.5-72B
| {"license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE"} | mlx-community/Liberated-Qwen1.5-72B-4bit | null | [
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| MLX Quant of abacusai/Liberated-Qwen1.5-72B
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text-generation | transformers |
# xxx model card
<!-- Provide a quick summary of what the model is/does. -->
**Dear reviewers, this is a one of the pretrained/finetuned versions of xxx. You can freely download it by sending an anonymized request respecting the secret condition mentioned in the paper.**
xxx is a LMM (Large **M**usic Model) design... | {"license": "apache-2.0"} | l1v6RWdpLP/pe5z8-500m-jazz | null | [
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# xxx model card
Dear reviewers, this is a one of the pretrained/finetuned versions of xxx. You can freely download it by sending an anonymized request respecting the secret condition mentioned in the paper.
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text-generation | transformers |
# xxx model card
<!-- Provide a quick summary of what the model is/does. -->
**Dear reviewers, this is a one of the pretrained/finetuned versions of xxx. You can freely download it by sending an anonymized request respecting the secret condition mentioned in the paper.**
xxx is a LMM (Large **M**usic Model) design... | {"license": "apache-2.0"} | l1v6RWdpLP/pe5z8-500m-rock | null | [
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# xxx model card
Dear reviewers, this is a one of the pretrained/finetuned versions of xxx. You can freely download it by sending an anonymized request respecting the secret condition mentioned in the paper.
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text-generation | transformers |
# Experiment28M7_YamExperiment26
Experiment28M7_YamExperiment26 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/YamExperiment26-7B](https://huggingface.co/automerger/YamExperiment26-7B)
## 💻 Usage
```python
!pip install -qU t... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_YamExperiment26", "base_model": ["automerger/Experiment28M7-7B", "automerger/YamExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by... | MaziyarPanahi/Experiment28M7_YamExperiment26 | null | [
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|
# Experiment28M7_YamExperiment26
Experiment28M7_YamExperiment26 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/YamExperiment26-7B
## Usage
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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. -->
# PhigRange-DPO
![image/png](https://cdn-uploads.huggingface.co/production/uploads/660cfe98280a82e38fe4ef49/1aDHvNk5pebHacGnzaHv9.pn... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generated_from_trainer", "DPO", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "datasets": ["mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"], "base_model": "PhigRange-2.7B-slerp", "pipeline_tag": ... | johnsnowlabs/PhigRange-DPO | null | [
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"license:cc-by-nc-... | null | 2024-04-08T19:38:58+00:00 | [] | [
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# PhigRange-DPO
!image/png
PhigRange-DPO is a DPO fine-tuned of johnsnowlabs/PhigRange-2.7B-Slerp using the mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha preference dataset. The model has been trained for for 1080 steps.
## Evaluation results
### Coming Soon
## Usage
## Training hyperparameters
The fo... | [
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image-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": []} | Az-r-ow/resnet-50-cifar100-custom | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "datasets": ["IvanD2002/Task_Dataset"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | IvanD2002/autotrain-llama-stuco | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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sentence-similarity | sentence-transformers |
# mingbao2020/distilroberta-base-nli-adaptive-layer
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)... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mingbao2020/distilroberta-base-nli-adaptive-layer | null | [
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|
# mingbao2020/distilroberta-base-nli-adaptive-layer
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)
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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. -->
# MedicalQAv2
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None da... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "MedicalQAv2", "results": []}]} | Arwaaaa/MedicalQAv2 | null | [
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|
# MedicalQAv2
This model is a fine-tuned version of google/gemma-2b-it 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 hyperparameters
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text-generation | transformers |
# PhigRange-2.7B-slerp
PhigRange-2.7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [limineri... | {"tags": ["merge", "mergekit", "lazymergekit", "liminerity/Phigments12", "rhysjones/phi-2-orange-v2"], "base_model": ["liminerity/Phigments12", "rhysjones/phi-2-orange-v2"]} | johnsnowlabs/PhigRange-2.7B-slerp | null | [
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|
# PhigRange-2.7B-slerp
!image/png
PhigRange-2.7B-slerp is a merge of the following models using LazyMergekit:
* liminerity/Phigments12
* rhysjones/phi-2-orange-v2
Special thanks to Charles Goddard for the quick implementation!
## Configuration
## Usage
## Evaluation
Coming Soon! | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anishhs001/physics-falcon-7b | null | [
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null | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | MR-Eder/gemma-2b-it-wiki-de-test | null | [
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# Uploaded model
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sentence-similarity | sentence-transformers |
# mingbao2020/distilbert-base-uncased-sts-adaptive-layer
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-Transfor... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mingbao2020/distilbert-base-uncased-sts-adaptive-layer | null | [
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|
# mingbao2020/distilbert-base-uncased-sts-adaptive-layer
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... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# diegola123/mit-b0-finetuned-sidewalks
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on a... | {"license": "other", "tags": ["generated_from_keras_callback"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "diegola123/mit-b0-finetuned-sidewalks", "results": []}]} | diegola123/mit-b0-finetuned-sidewalks | null | [
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| diegola123/mit-b0-finetuned-sidewalks
=====================================
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.9385
* Validation Loss: 0.8219
* Validation Mean Iou: 0.1978
* Validation Mean Accuracy: 0.2... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-1k_stories_100_genre
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/ph... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-1k_stories_100_genre", "results": []}]} | PranavBP525/phi-2-finetuned-1k_stories_100_genre | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-finetuned-1k_stories_100_genre
This model is a fine-tuned version of microsoft/phi-2 on 1k_stories_100_genre dataset using TRL library's SFTTrainer class.
## Model description
Use prompts in the format : f"Generate a '{genre_of_the_story} ' story titled '{title of the story}'."
## Intended uses & limitat... | [
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feature-extraction | transformers |
# CodeGemma-2B-Slerp
CodeGemma-2B-Slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [wandb/gemma... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "wandb/gemma-2b-zephyr-dpo", "MAISAAI/gemma-2b-coder"], "base_model": ["wandb/gemma-2b-zephyr-dpo", "MAISAAI/gemma-2b-coder"]} | johnsnowlabs/CodeGemma-2B-Slerp | null | [
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"text-generat... | null | 2024-04-08T19:49:28+00:00 | [] | [] | TAGS
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|
# CodeGemma-2B-Slerp
!image/jpeg
CodeGemma-2B-Slerp is a merge of the following models using LazyMergekit:
* wandb/gemma-2b-zephyr-dpo
* MAISAAI/gemma-2b-coder
Special thanks to Charles Goddard for the quick implementation!
## Evaluation
### Coming Soon
## Configuration
## Usage
| [
"# CodeGemma-2B-Slerp\n!image/jpeg\nCodeGemma-2B-Slerp is a merge of the following models using LazyMergekit:\n* wandb/gemma-2b-zephyr-dpo\n* MAISAAI/gemma-2b-coder\n\nSpecial thanks to Charles Goddard for the quick implementation!",
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null | null | script at https://github.com/uf-hobi-informatics-lab/SDoH_SODA | {"license": "mit"} | nvbic/SODA_BERT_NER | null | [
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#license-mit #region-us
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feature-extraction | transformers |
# GemmaMerge-2B-Dare
GemmaMerge-2B-Dare is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
- [vicgalle/O... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "vicgalle/OpenHermes-Gemma-2B", "mlabonne/Gemmalpaca-2B"], "base_model": ["vicgalle/OpenHermes-Gemma-2B", "mlabonne/Gemmalpaca-2B"]} | johnsnowlabs/GemmaMerge-2B-Dare | null | [
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"text-g... | null | 2024-04-08T19:59:09+00:00 | [] | [] | TAGS
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|
# GemmaMerge-2B-Dare
!image/jpeg
GemmaMerge-2B-Dare is a merge of the following models using LazyMergekit:
- vicgalle/OpenHermes-Gemma-2B
- mlabonne/Gemmalpaca-2B
Special thanks to Charles Goddard for the quick implementation!
## Evaluation
### Coming Soon
## Configuration
## Usage
| [
"# GemmaMerge-2B-Dare\n!image/jpeg\nGemmaMerge-2B-Dare is a merge of the following models using LazyMergekit:\n\n- vicgalle/OpenHermes-Gemma-2B\n- mlabonne/Gemmalpaca-2B\n\nSpecial thanks to Charles Goddard for the quick implementation!",
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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/Gembo-v1-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gembo-v1-70b-i1... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge", "mergekit", "nsfw", "not-for-all-audiences"], "base_model": "ChuckMcSneed/Gembo-v1-70b", "quantized_by": "mradermacher"} | mradermacher/Gembo-v1-70b-GGUF | null | [
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| 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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] |
null | transformers |
# Uploaded model
- **Developed by:** czaplon
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | czaplon/mistral-0408.a | null | [
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"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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|
# Uploaded model
- Developed by: czaplon
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 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 becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | YoungPanda/bge_war | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T20:04:06+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 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:
Then you can ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-gpo-u4-i1
This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-update3-i0](https://huggingface.co/DUAL-GPO/ze... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-gpo-u4-i1", "results": []}]} | DUAL-GPO/zephyr-7b-gpo-u4-i1 | null | [
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"tensorboard",
"safetensors",
"mistral",
"alignment-handbook",
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"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-08T20:04:58+00:00 | [] | [] | TAGS
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| zephyr-7b-gpo-u4-i1
===================
This model is a fine-tuned version of DUAL-GPO/zephyr-7b-gpo-update3-i0 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0595
* Rewards/chosen: -0.1134
* Rewards/rejected: -0.1090
* Rewards/accuracies: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-samsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-samsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "s... | kenhoffman/flan-t5-base-samsum | null | [
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| flan-t5-base-samsum
===================
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3717
* Rouge1: 47.4138
* Rouge2: 23.7051
* Rougel: 40.0689
* Rougelsum: 43.6335
* Gen Len: 17.0745
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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feature-extraction | transformers |
# LogiPhi-2.7B-ModelStock
LogiPhi-2.7B-ModelStock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
Spe... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | johnsnowlabs/LogiPhi-2.7B-ModelStock | null | [
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|
# LogiPhi-2.7B-ModelStock
!image/jpeg
LogiPhi-2.7B-ModelStock is a merge of the following models using LazyMergekit:
Special thanks to Charles Goddard for the quick implementation!
- microsoft/phi-2
- MaziyarPanahi/phi-2-logical-sft
- rhysjones/phi-2-orange-v2
## Evaluation
### Coming Soon
## Configuration
... | [
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null | transformers | ## About
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static quants of https://huggingface.co/ludis/tsukasa-120b-qlora
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| 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
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(sorted by size, not necessarily quality. ... | [] | [
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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": []} | exala/db_aca_2.2 | null | [
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# Model Card for Model ID
## Model Details
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ManiWavelabs/phi2_LoRA_128_256_5epochs | null | [
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feature-extraction | transformers |
# PhiMerge-2.7B-Dare
PhiMerge-2.7B-Dare is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [abacaj/phi-2... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "abacaj/phi-2-super", "mobiuslabsgmbh/aanaphi2-v0.1"], "base_model": ["abacaj/phi-2-super", "mobiuslabsgmbh/aanaphi2-v0.1"]} | johnsnowlabs/PhiMerge-2.7B-Dare | null | [
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... | null | 2024-04-08T20:13:24+00:00 | [] | [] | TAGS
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|
# PhiMerge-2.7B-Dare
!image/png
PhiMerge-2.7B-Dare is a merge of the following models using LazyMergekit:
* abacaj/phi-2-super
* mobiuslabsgmbh/aanaphi2-v0.1
## Evaluation results
### Coming Soon
## Configuration
## 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": []} | 0x0uncle0/aunt9 | 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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep07 | null | [
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# Model Card for Model ID
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="joigalcar/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "m... | joigalcar/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4",
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#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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-base-uncased
This model was trained from scratch on an unknown dataset.
It achieves the following results on the eval... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-uncased", "results": []}]} | kallidavidson/distilbert-base-uncased | null | [
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#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #endpoints_compatible #region-us
| distilbert-base-uncased
=======================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.0884
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
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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/aunt10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | kalyanmaram/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8304
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "model-index": [{"name": "vit-base-patch16-224-finetuned-flower", "results": []}]} | aqizhuggingface/vit-base-patch16-224-finetuned-flower | null | [
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|
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
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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": []} | OwOpeepeepoopoo/spooderman4 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **AtlantisNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **AtlantisNoFrameskip-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 framework for Stab... | {"library_name": "stable-baselines3", "tags": ["AtlantisNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "AtlantisNoFrameskip-v4",... | SpartanLondoner/dqn-AtlantisNoFrameskip-v4 | null | [
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This is a trained model of a DQN agent playing AtlantisNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | Kamal-Moha/GIZAI | null | [
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#fastai #region-us
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
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text-generation | transformers |
# Hermes 2 Pro - Mistral 7B
## Model Description
Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes!
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated... | {"language": ["en"], "license": "apache-2.0", "tags": ["Mistral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mistral-7B-v0.1", "widget": [{"example_title": "Hermes 2 Pro", "... | mrfakename/Hermes-NoSlidingWindow | null | [
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# Hermes 2 Pro - Mistral 7B
!image/png
## Model Description
Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes!
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text-generation | transformers | # Silver-Sun-v2-11B
> This is an updated version of Silver-Sun-11B. The change is that now the Solstice-FKL-v2-10.7B merge uses Sao10K/Fimbulvetr-11B-v2 instead of v1.
> Additionally, the config of t... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama", "not-for-all-audiences"], "base_model": []} | ABX-AI/Silver-Sun-v2-11B | null | [
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| Silver-Sun-v2-11B
=================
!image/png
>
> This is an updated version of Silver-Sun-11B. The change is that now the Solstice-FKL-v2-10.7B merge uses Sao10K/Fimbulvetr-11B-v2 instead of v1.
> Additionally, the config of the original Silver-Sun was wrong, and I have also updated that.
> As expected, this is... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - XeroTech/bg_rm_wagonr_ds_LoRA
<Gallery />
## Model description
These are XeroTech/bg_rm_wagonr... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", ... | XeroTech/bg_rm_wagonr_ds_LoRA | null | [
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|
# SDXL LoRA DreamBooth - XeroTech/bg_rm_wagonr_ds_LoRA
<Gallery />
## Model description
These are XeroTech/bg_rm_wagonr_ds_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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LoRA for the text encoder was enabled: False.
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null | transformers |
# LeroyDyer/Mixtral_Cyber_Base-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_Cyber_Base`](https://huggingface.co/LeroyDyer/Mixtral_Cyber_Base) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["BaseModel", "CyberSeries", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_Cyber_Boss"]} | LeroyDyer/Mixtral_Cyber_Base-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_Cyber_Base-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_Cyber_Base' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
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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-kingshipAIv4-explainer | null | [
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# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50_finetuned_cppe5", "results": []}]} | dipanjanS/detr-resnet-50_finetuned_cppe5 | null | [
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"object-detection",
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|
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 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... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T"} | DuckyBlender/racist-tinyllama | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- License:
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### Model Sources [optional]
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LED-Large-NSPCC
This model is a fine-tuned version of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "allenai/led-large-16384", "model-index": [{"name": "LED-Large-NSPCC", "results": []}]} | scott156/LED-Large-NSPCC | null | [
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#transformers #safetensors #led #text2text-generation #generated_from_trainer #base_model-allenai/led-large-16384 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| LED-Large-NSPCC
===============
This model is a fine-tuned version of allenai/led-large-16384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6129
* Rouge1: 0.5117
* Rouge2: 0.2276
* Rougel: 0.2877
* Rougelsum: 0.2864
* Gen Len: 317.0532
Model description
----------------... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Inishds/deepseek-coder-1.3b-instruct-Abirate-english_quotes-peft | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | paragon-analytics/ADRv2024 | 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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="joigalcar/Taxi_trial", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi_trial", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +... | joigalcar/Taxi_trial | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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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:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "HuggingFaceH4/zephyr-7b-beta"]} | mergekit-community/mergekit-slerp-dieybqi | null | [
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] | null | 2024-04-08T20:54:44+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:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
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text-generation | transformers |
# MeliodasPercival_01_Strangemerges_32Experiment28
MeliodasPercival_01_Strangemerges_32Experiment28 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Strangemerges_32Experiment28-7B](https://huggingface.co/automerger/Stran... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Strangemerges_32Experiment28", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Strangemerges_32Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/MeliodasPercival_01_Strangemerges_32Experiment28 | null | [
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|
# MeliodasPercival_01_Strangemerges_32Experiment28
MeliodasPercival_01_Strangemerges_32Experiment28 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Strangemerges_32Experiment28-7B
## Usage
| [
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text-generation | transformers |
# Experiment28M7_YamNeuralsirkrishna
Experiment28M7_YamNeuralsirkrishna is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/YamNeuralsirkrishna-7B](https://huggingface.co/automerger/YamNeuralsirkrishna-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_YamNeuralsirkrishna", "base_model": ["automerger/Experiment28M7-7B", "automerger/YamNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/Experiment28M7_YamNeuralsirkrishna | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/YamNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T20:56:03+00:00 | [] | [] | TAGS
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|
# Experiment28M7_YamNeuralsirkrishna
Experiment28M7_YamNeuralsirkrishna is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/YamNeuralsirkrishna-7B
## Usage
| [
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text-generation | transformers |
# YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24
YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Neuralsirkrishnaexperiment26Experiment24-7B](https://huggingface... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Neuralsirkrishnaexperiment26Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanah... | MaziyarPanahi/YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24 | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Neuralsirkrishnaexperiment26Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T20:56:03+00:00 | [] | [] | TAGS
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|
# YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24
YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Neuralsirkrishnaexperiment26Experiment24-7B
## Usage
| [
"# YamshadowInex12_Neuralsirkrishnaexperiment26Experiment24\n\nYamshadowInex12_Neuralsirkrishnaexperiment26Experiment24 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Neuralsirkrishnaexperiment26Experiment24-7B",
"## Usage"
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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-chat-hf-dpo
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/L... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf-dpo", "results": []}]} | Joyqiuyue/Llama-2-7b-chat-hf-dpo | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-08T21:00:02+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Llama-2-7b-chat-hf-dpo
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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 hyp... | [
"# Llama-2-7b-chat-hf-dpo\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
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"# Llama-2-7b-chat-hf-dpo\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.",
"## Model description\n\nMore information needed",
"## Inte... | [
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text-to-image | diffusers | # Not OG
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/BigRoyalHype/Notog/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "(Transparent background:1.5)::5],(((masterpiece))),(((best quality))),(((extremely detailed))),illustration, 1girl,solo,mysterious,vivid color,shiny, underwater transparent sealed hemispherical glass dome, (whi... | BigRoyalHype/Notog | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:hulefei/civitai",
"region:us"
] | null | 2024-04-08T21:00:09+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-hulefei/civitai #region-us
| # Not OG
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# Not OG\n\n<Gallery />",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
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"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-hulefei/civitai #region-us \n# Not OG\n\n<Gallery />## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="joigalcar/Taxi_trial2", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi_trial2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 ... | joigalcar/Taxi_trial2 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-08T21:00:38+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ParasiticRogue/Merged-Vicuna-RP-Stew-34B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "roleplay", "not-for-all-audiences"], "base_model": "ParasiticRogue/Merged-Vicuna-RP-Stew-34B", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher... | mradermacher/Merged-Vicuna-RP-Stew-34B-GGUF | null | [
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"merge",
"roleplay",
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"en",
"base_model:ParasiticRogue/Merged-Vicuna-RP-Stew-34B",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T21:05:37+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #roleplay #not-for-all-audiences #en #base_model-ParasiticRogue/Merged-Vicuna-RP-Stew-34B #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 #merge #roleplay #not-for-all-audiences #en #base_model-ParasiticRogue/Merged-Vicuna-RP-Stew-34B #license-other #endpoints_compatible #region-us \n"
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] |
text-generation | transformers |
# Misgit-7B-slerp
Misgit-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [fblgit/UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1)
* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistr... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "fblgit/UNA-TheBeagle-7b-v1", "mistralai/Mistral-7B-v0.1"], "base_model": ["fblgit/UNA-TheBeagle-7b-v1", "mistralai/Mistral-7B-v0.1"]} | KKare/Misgit-7B-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"fblgit/UNA-TheBeagle-7b-v1",
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"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"endpo... | null | 2024-04-08T21:10:39+00:00 | [] | [] | TAGS
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# Misgit-7B-slerp
Misgit-7B-slerp is a merge of the following models using LazyMergekit:
* fblgit/UNA-TheBeagle-7b-v1
* mistralai/Mistral-7B-v0.1
## Configuration
## Usage
| [
"# Misgit-7B-slerp\n\nMisgit-7B-slerp is a merge of the following models using LazyMergekit:\n* fblgit/UNA-TheBeagle-7b-v1\n* mistralai/Mistral-7B-v0.1",
"## Configuration",
"## Usage"
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnext-tiny-224-finetuned-eurosat-albumentations
This model is a fine-tuned version of [facebook/convnext-tiny-224](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnext-tiny-224", "model-index": [{"name": "convnext-tiny-224-finetuned-eurosat-albumentations", "results": [{"task": {"type": "image-classification", "name": "Image Classificati... | diegola123/convnext-tiny-224-finetuned-eurosat-albumentations | null | [
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"safetensors",
"convnext",
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"base_model:facebook/convnext-tiny-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T21:10:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #convnext #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| convnext-tiny-224-finetuned-eurosat-albumentations
==================================================
This model is a fine-tuned version of facebook/convnext-tiny-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0395
* Accuracy: 0.9881
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... | [
"TAGS\n#transformers #tensorboard #safetensors #convnext #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
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null | transformers | # GGUF / IQ / Imatrix for [Silver-Sun-v2-11B](https://huggingface.co/ABX-AI/Silver-Sun-v2-11B)
**Why Importance Matrix?**
**Importance Matrix**, at least based on my testing, has shown to improve th... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama", "not-for-all-audiences"], "base_model": []} | ABX-AI/Silver-Sun-v2-11B-GGUF-IQ-Imatrix | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama",
"not-for-all-audiences",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T21:12:17+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama #not-for-all-audiences #endpoints_compatible #region-us
| GGUF / IQ / Imatrix for Silver-Sun-v2-11B
=========================================
!image/png
Why Importance Matrix?
Importance Matrix, at least based on my testing, has shown to improve the output and performance of "IQ"-type quantizations, where the compression becomes quite heavy.
The Imatrix performs a calib... | [
"### Merge Method\n\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\n\nThe following models were included in the merge:\n\n\n* Himitsui/Kaiju-11B\n* ABX-AI/Solstice-FKL-v2-10.7B\n\n\n\n> \n> [!NOTE]\n> A mixture of Sao10K/Solstice-11B-v1 and\n> [ABX-AI/Fimbulvetr-Kuro-Lotus-v2-10.7B]... | [
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"### Merge Method\n\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\n\nThe following models were included in the merge:\n\n\n* Himitsui/Kaiju-11B\n* ABX-AI/Solstice-FKL-v... | [
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text-to-speech | voicecraft |
This model has been pushed to the Hub using VoiceCraft:
- Library: https://github.com/jasonppy/VoiceCraft
- Docs: [More Information Needed] | {"library_name": "voicecraft", "tags": ["text-to-speech", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/jasonppy/VoiceCraft"} | pyp1/VoiceCraft_giga330M | null | [
"voicecraft",
"safetensors",
"text-to-speech",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"region:us"
] | null | 2024-04-08T21:14:32+00:00 | [] | [] | TAGS
#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using VoiceCraft:
- Library: URL
- Docs: | [] | [
"TAGS\n#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us \n"
] | [
37
] | [
"TAGS\n#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us \n"
] |
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