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text-generation | transformers |
Model is being trained on model of Star CCM+ JSON to CSV file which contains all the APIs in the form Package, class, and Interface
| {"license": "mit"} | himanshushukla12/starCCM-llama2-hf-7B | null | [
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"llama",
"text-generation",
"conversational",
"license:mit",
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|
Model is being trained on model of Star CCM+ JSON to CSV file which contains all the APIs in the form Package, class, and Interface
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text-generation | transformers |
# AlphaMaid
AlphaMaid is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silic... | {"tags": ["merge", "mergekit", "lazymergekit", "mlabonne/AlphaMonarch-7B", "SanjiWatsuki/Silicon-Maid-7B"], "base_model": ["mlabonne/AlphaMonarch-7B", "SanjiWatsuki/Silicon-Maid-7B", "mlabonne/AlphaMonarch-7B", "SanjiWatsuki/Silicon-Maid-7B", "mlabonne/AlphaMonarch-7B", "SanjiWatsuki/Silicon-Maid-7B", "mlabonne/AlphaMo... | Ppoyaa/AlphaMaid | null | [
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"endpoin... | null | 2024-04-12T10:12:19+00:00 | [] | [] | TAGS
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# AlphaMaid
AlphaMaid is a merge of the following models using LazyMergekit:
* mlabonne/AlphaMonarch-7B
* SanjiWatsuki/Silicon-Maid-7B
* mlabonne/AlphaMonarch-7B
* SanjiWatsuki/Silicon-Maid-7B
* mlabonne/AlphaMonarch-7B
* SanjiWatsuki/Silicon-Maid-7B
* mlabonne/AlphaMonarch-7B
## Configuration
## Usage
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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have the `t... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | mwalol/funny-pronghorn | null | [
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"large language model",
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| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: mistralai/Mistral-7B-v0.1
## Usage
To use the model with the 'transformers' library on a machine with GPUs, first make sure you have the 'transformers' library installed.
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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:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-hwgrlbs | null | [
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] | null | 2024-04-12T10:15:48+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:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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text-generation | transformers |
# Uploaded model
- **Developed by:** jamesphe
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | jamesphe/smile-model-vllm | null | [
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|
# Uploaded model
- Developed by: jamesphe
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# **csg-wukong-1B-chat-v0.1** [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./csg-wukong-logo-green.jpg">
</p>
<p align="center"><a href="https://portal.opencsg.com/models">[OpenCSG Community]</a> <a href="https://github.com/open... | {"language": ["en"], "license": "apache-2.0", "tags": ["code"], "pipeline_tag": "text-generation"} | opencsg/csg-wukong-1B-chat-v0.1 | null | [
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"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T10:18:45+00:00 | [] | [
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#transformers #safetensors #llama #text-generation #code #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
# csg-wukong-1B-chat-v0.1 [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./URL">
</p>
<p align="center"><a href="URL Community]</a> <a href="URL <a href="URL <a href="URL </p>
</div>
OpenCSG stands for Converged resources, Sof... | [
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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="akoziy98/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "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-no_slippery", "type": ... | akoziy98/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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#FrozenLake-v1-4x4-no_slippery #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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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. -->
# results
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
## Model descr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "results", "results": []}]} | vedant9034/results | null | [
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|
# results
This model is a fine-tuned version of t5-small 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 hyperparameters
The following hyperp... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** AvizvaSolutions
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-1210
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": "openchat/openchat-3.5-1210"} | AvizvaSolutions/sftVersion-2 | null | [
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|
# Uploaded model
- Developed by: AvizvaSolutions
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Reihaneh/wav2vec2_germanic_common_voice_7 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T10:25:37+00:00 | [
"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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="akoziy98/taxi-v3", 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-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | akoziy98/taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T10:26:07+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 |
<!-- 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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | JorgeEnxenio/donut-base-sroie | null | [
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"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T10:26:20+00:00 | [] | [] | TAGS
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | krisha-n/dqn-SpaceInvadersNoFrameskip-v4-2 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T10:27:48+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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": []} | anna-tch/gemma-Code-Instruct-Finetune-test | null | [
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
model = load_from_hub(repo_id="davmel/q-Taxi-v3", filename="q-learning.pkl")
| {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/... | davmel/q-Taxi-v3 | null | [
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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 .
## Usage
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] |
text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_11_prob
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this mode... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_11_prob | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-12T10:31:49+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_11\_prob
========================================================================================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable... | [] | [
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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_88 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Medical-Mixtral-7B-v1.5k
[](https://ruslanmv.com/)
### Model Description
The Medical-Mixtral-7B-v1.5k is a fine-tuned Mixtral model for answering medical assistance questions. This model is a novel version of mistralai/Mixtral-8x7B-Instruct-v0.1, adapted to a subset of 1.5k records... | {"license": "apache-2.0", "library_name": "peft", "datasets": ["ruslanmv/ai-medical-chatbot"], "base_model": "mistralai/Mixtral-8x7B-Instruct-v0.1"} | ruslanmv/Medical-Mixtral-7B-v1.5k | null | [
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#peft #safetensors #dataset-ruslanmv/ai-medical-chatbot #base_model-mistralai/Mixtral-8x7B-Instruct-v0.1 #license-apache-2.0 #region-us
|
# Model Card for Medical-Mixtral-7B-v1.5k
![](URL
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The Medical-Mixtral-7B-v1.5k is a fine-tuned Mixtral model for answering medical assistance questions. This model is a novel version of mistralai/Mixtral-8x7B-Instruct-v0.1, adapted to a subset of 1.5k records from the AI Medical Chatbot data... | [
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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": []} | 0x0son0/sl100 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# uncombined_audio
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "uncombined_audio", "results": []}]} | mosesdaudu/librispeech_whisper_small | null | [
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"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| uncombined\_audio
=================
This model is a fine-tuned version of openai/whisper-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3756
* Wer: 7.5695
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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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"]} | jkokko/resnet18 | null | [
"fastai",
"region:us"
] | null | 2024-04-12T10:45:03+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test_trainer_2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "test_trainer_2", "results": []}]} | l3tterman/test_trainer_2 | null | [
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| test\_trainer\_2
================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4232
* Accuracy: 0.9350
* F1: 0.9506
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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null | null | The pantograph-scanner detection model, based on YOLO, is trained specifically to detect one or more sliding contact strips of a pantograph on an electric train or locomotive. | {"license": "gpl-3.0"} | swissrail/panto-scanner-detection | null | [
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text-generation | transformers |
<img src="./Goku-8x22b-v0.1.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Goku-8x22B-v0.1 (Goku 141b-A35b)
A fine-tuned version of [v2ray/Mixtral-8x22B-v0.1](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1) model on the `philschmid/guanaco-sharegpt-st... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "mixtral", "sharegpt", "axolotl"], "datasets": ["philschmid/guanaco-sharegpt-style"], "model_name": "Goku-8x22B-v0.1", "base_model": "v2ray/Mixtral-8x22B-v0.1", "inference": false, "model_creator": "Maz... | MaziyarPanahi/Goku-8x22B-v0.1 | null | [
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|
<img src="./Goku-8x22b-v0.1.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Goku-8x22B-v0.1 (Goku 141b-A35b)
A fine-tuned version of v2ray/Mixtral-8x22B-v0.1 model on the 'philschmid/guanaco-sharegpt-style' dataset. This model has a total of 141b parame... | [
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image-classification | timm | # Model card for DERETFound_DR_IDRID
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | jmgoncalves/DERETFound_DR_IDRID | null | [
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null | null | # My dummy model
Welcome to my model page!
Central definition, reproducibility tips, cod samples below! | {} | kjkhjkgyf/dummy | null | [
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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"]} | jkokko/resnet34 | null | [
"fastai",
"region:us"
] | null | 2024-04-12T10:51:45+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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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"]} | jkokko/resnet50 | null | [
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"region:us"
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#fastai #region-us
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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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": []} | ABHISHEKMONU2001/llama13b_finetunning_12_April | null | [
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null | null | ¿Qué es la crema ValGone Reseñas?
ValGone Ingredientes Cream es una solución tópica específicamente formulada para aliviar las molestias asociadas a los juanetes. Contiene una mezcla de ingredientes naturales conocidos por sus propiedades antiinflamatorias y analgésicas. Estos ingredientes actúan sinérgicamente para r... | {"license": "apache-2.0"} | ValGone-Spain/ValGoneSpain | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Jacque008
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-2-13b-bnb-4bit"} | Jacque008/unsloth-llama2-13b-bnb-4bit_4963_ori_refer_fwd_epoch2 | null | [
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# Uploaded model
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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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null | transformers |
# Uploaded model
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-ChangeRequest-imm5epochs-Expand1
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingf... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-imm5epochs-Expand1", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand1 | null | [
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|
# PolizzeDonut-ChangeRequest-imm5epochs-Expand1
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | null | Model description | {} | sergak0/sergey_nikita | null | [
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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 - rzemaitis/rks_person_LoRA
<Gallery />
## Model description
These are rzemaitis/rks_person_LoRA... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of RKS person", ... | rzemaitis/rks_person_LoRA | null | [
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|
# SDXL LoRA DreamBooth - rzemaitis/rks_person_LoRA
<Gallery />
## Model description
These are rzemaitis/rks_person_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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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": []} | peft-internal-testing/tiny-random-qwen-1.5-MoE | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# mbart-large-50-many-to-many-mmt-ICFOSS-Malayalam_English_Translation
This model is a fine-tuned version of [facebook/mbart-large... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["bleu", "rouge"], "base_model": "facebook/mbart-large-50-many-to-many-mmt", "model-index": [{"name": "mbart-large-50-many-to-many-mmt-ICFOSS-Malayalam_English_Translation", "results": []}]} | ArunIcfoss/mbart-large-50-many-to-many-mmt-ICFOSS-Malayalam_English_Translation | null | [
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| mbart-large-50-many-to-many-mmt-ICFOSS-Malayalam\_English\_Translation
======================================================================
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3733
* ... | [
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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-7b-chat-190k-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-190k-L", "results": []}]} | Niyantha23M/llama-7b-chat-190k-L | null | [
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|
# llama-7b-chat-190k-L
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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text-to-image | null |
# Stable Diffusion v2-1-base Model Card
This model was generated by Hugging Face using [Apple’s repository](https://github.com/apple/ml-stable-diffusion) which has [ASCL](https://github.com/apple/ml-stable-diffusion/blob/main/LICENSE.md). This version contains 2-bit linearly quantized Core ML weights for iOS 17 or ma... | {"license": "openrail++", "tags": ["stable-diffusion", "text-to-image", "core-ml"]} | Vishnou/coreml-stable-diffusion-2-1-base-2-bit | null | [
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|
# Stable Diffusion v2-1-base Model Card
This model was generated by Hugging Face using Apple’s repository which has ASCL. This version contains 2-bit linearly quantized Core ML weights for iOS 17 or macOS 14. To use weights without quantization, please visit this model instead.
This model card focuses on the model a... | [
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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": []} | riyadule/stack-llama-2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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object-detection | 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": []} | flinta/detr | null | [
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fill-mask | transformers |
## SqueezeBERT Model for Unsupervised Anomaly Detection
### Overview
This model was developed as part of a Course Project during my third year at HSE Faculty of Computer Science (FCS). It utilizes the SqueezeBERT architecture, tailored for the task of unsupervised anomaly detection. The model identifies anomalies by ... | {"license": "apache-2.0"} | mastavtsev/SqueezeBERT_PM_CLR | null | [
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## SqueezeBERT Model for Unsupervised Anomaly Detection
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text2text-generation | transformers | ---
## Model Details
### Model Description
This is a model for SQL query generation based on the Hugging Face 🤗 transformers library, specifically utilizing the T5 model architecture. The model is trained to generate SQL queries given a context and a question related to a database schema.
- Developed by: [Yusuf Abdu... | {} | Hakeem750/t5-small-know_sql | null | [
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#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ---
## Model Details
### Model Description
This is a model for SQL query generation based on the Hugging Face transformers library, specifically utilizing the T5 model architecture. The model is trained to generate SQL queries given a context and a question related to a database schema.
- Developed by: Yusuf Abdulak... | [
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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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null | transformers |
# Model Card for Model ID
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### Model Description
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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": []} | paragbajaj18/distilgpt2-qlora-merged-finetuned-qa | null | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Kunoichi-DPO-v2-Instruct-32k-7B](https://huggingface.co/mpasila/Kunoichi-DPO-v2-Instruct-32k-7B) using the default calibration dataset.
# Original Model card:
# Kunoichi-DPO-v2-Instruct-32k-7B
This is a merge of pre-trained language models created using [merge... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "SanjiWatsuki/Kunoichi-DPO-v2-7B"]} | mpasila/Kunoichi-DPO-v2-Instruct-32k-7B-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of mpasila/Kunoichi-DPO-v2-Instruct-32k-7B using the default calibration dataset.
# Original Model card:
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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. -->
# doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences
This model is a fine-tuned version of [cognitivecomputations/dol... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "orpo", "generated_from_trainer"], "base_model": "cognitivecomputations/dolphin-2.1-mistral-7b", "model-index": [{"name": "doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences", "results": []}]} | DrishtiSharma/doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences | null | [
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| doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences
===============================================================
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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_89 | null | [
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text-generation | transformers | # aiXcoder-7B Code Large Language Model
<p align="center">
🏠 <a href="https://www.aixcoder.com/" target="_blank">Official website</a>｜🛠 <a href="https://marketplace.visualstudio.com/items?itemName=aixcoder-plugin.aixcoder" target="_blank">VS Code Plugin</a>｜🛠 <a href="https://plugins.jetbrains.com/plugin/13574-... | {} | TechxGenus/aixcoder-7b-GPTQ | null | [
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| # aiXcoder-7B Code Large Language Model
<p align="center">
<a href="URL target="_blank">Official website</a>｜ <a href="URL target="_blank">VS Code Plugin</a>｜ <a href="URL target="_blank">Jetbrains Plugin</a>｜<a href="URL target="_blank">Github Project</a>
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---
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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]
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | mapleadmin/Maple-v1 | 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 Small Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "n... | Tejnaresh/whisper-tiny-en | null | [
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
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* Loss: 0.4219
* Wer: 49.1577
Model description
-----------------
More information needed
In... | [
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text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw2.5 | null | [
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Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
"### Model Description\n\n\n* Model type: A Mixture of Experts (MoE) model with 141B total parameters and 35B active parameters. Fine-tuned on a mix of publicly available, synthetic datasets.\n* Language(s) (NLP): Primarily English.\n* License: Apache 2.0\n* Finetuned from model: mistral-community/Mixtral-8x22B-v0.... | [
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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. -->
# LoRA text2image fine-tuning - thanhnx12/text2image-pokemon-lora-1epoch
These are LoRA adaption weights for CompVis/stabl... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true} | thanhnx12/text2image-pokemon-lora-1epoch | null | [
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|
# LoRA text2image fine-tuning - thanhnx12/text2image-pokemon-lora-1epoch
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the polinaeterna/pokemon-blip-captions dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
## Intended u... | [
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text-generation | transformers |
# 8x7b FrankenMoE -8.0bpw-h6-exl2 - NeuralBeagle14-7B - dolphin-2.8-mistral-7b-v02 | {"license": "apache-2.0"} | atcsecure/nb14-dolphin-8x7b-8.0bpw-h6-exl2 | 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. -->
# Whipser Small - Singlish
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-smal... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["rngzhi/cs3264-project"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whipser Small - Singlish", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech ... | rngzhi/cs3264-project | null | [
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| Whipser Small - Singlish
========================
This model is a fine-tuned version of openai/whisper-small on the National Speech Corpus(partial) dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2020
* Wer: 5.3795
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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": []} | pjrudani/mistral_7b_json | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | ### Pretrain Phase 1
```bash
python -m torch.distributed.launch --nproc_per_node=1 --use_env train_vlp_v2.py --batch-size 4 --epochs 80 --opt sgd --lr 0.01 --output_dir out/vlp_v2 --training-refurbish True --noise-rate 0.15 --noise-type omit_last --random-shuffle False --input-size=128 --num_workers=2
```
### Pretra... | {} | leakybucket/SLT-ASL | null | [
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| ### Pretrain Phase 1
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### Evaluation
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text-generation | transformers |
Below here the original model card:
# A bagel, with everything (except DPO)
## Overview
This is an experimental fine-tune of [jamba-v0.1](https://hf.co/ai21labs/Jamba-v0.1) on the bagel dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
A DPO ve... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | KnutJaegersberg/jamba-bagel-4bit | null | [
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Below here the original model card:
# A bagel, with everything (except DPO)
!bagel
## Overview
This is an experimental fine-tune of jamba-v0.1 on the bagel dataset.
See bagel for additional details on the datasets.
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | FrFrey/ppo-Huggy | null | [
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|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ArierMiao/whisper-small-zh | null | [
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"tensorboard",
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"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# breakmymind-7B-slerp
breakmymind-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
* [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
## ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardMath-7B-V1.1", "OpenPipe/mistral-ft-optimized-1227"]} | Eliorkalfon/breakmymind-7B-slerp | null | [
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|
# breakmymind-7B-slerp
breakmymind-7B-slerp is a merge of the following models using mergekit:
* WizardLM/WizardMath-7B-V1.1
* OpenPipe/mistral-ft-optimized-1227
## Configuration
| [
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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_v1_30
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_v1_30", "results": []}]} | ssamperr/detr_v1_30 | null | [
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"license:apache-2.0",
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"region:us"
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr_v1_30
This model is a fine-tuned version of facebook/detr-resnet-50 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
The ... | [
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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. -->
# poetry-rugpt3small
This model is a fine-tuned version of [ai-forever/rugpt3small_based_on_gpt2](https://huggingface.co/ai-foreve... | {"tags": ["generated_from_trainer"], "base_model": "ai-forever/rugpt3small_based_on_gpt2", "model-index": [{"name": "poetry-rugpt3small", "results": []}]} | mashishka/poetry-rugpt3small | null | [
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|
# poetry-rugpt3small
This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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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": "ai-forever/ruT5-large"} | SouthMemphis/rut5-sum | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_1e-5-drop-005-9200 | null | [
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"automatic-speech-recognition",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ProrabVasili/ppo-LunarLander-v2 | null | [
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"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
automatic-speech-recognition | transformers |
<!-- 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 Medium GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/open... | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed"], "metrics": ["bleu", "wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Me... | ymoslem/whisper-medium-ga2en-v1.2 | null | [
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"base_model:opena... | null | 2024-04-12T11:47:35+00:00 | [] | [
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=======================================
This model is a fine-tuned version of openai/whisper-small on the IWSLT-2023, FLEURS, BiteSize, and SpokenWords dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2998
* Bleu: 27.06
* Chrf: 47.61
* Wer: 73.4804
... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_2e-6-b32-6500 | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
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"endpoints_compatible",
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#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | null | PicXer by [me](https://civitai.com/user/fp16_guy).
========
///
**[**civitai lora link**](https://civitai.com/models/273909)**
*(all rights to the model belong to fp16_guy)*
**It is forbidden to use it for any commercial purposes without my personal approval.** | {"pipeline_tag": "text-to-image"} | fp16-guy/PicXer | null | [
"text-to-image",
"region:us"
] | null | 2024-04-12T11:48:46+00:00 | [] | [] | TAGS
#text-to-image #region-us
| PicXer by me.
========
///
civitai lora link
*(all rights to the model belong to fp16_guy)*
It is forbidden to use it for any commercial purposes without my personal approval. | [] | [
"TAGS\n#text-to-image #region-us \n"
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BioNLP-intro-disc-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More information neede... | {"tags": ["summarization", "generated_from_trainer"], "model-index": [{"name": "BioNLP-intro-disc-eLife", "results": []}]} | dtorber/BioNLP-intro-disc-eLife | null | [
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"autotrain_compatible",
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# BioNLP-intro-disc-eLife
This model was trained from scratch 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 hyperparameters
The following h... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | mani-a-i/mistral7b_prvlaw_1e | null | [
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question-answering | Haystack |
🤗 + 📚🩺🇮🇹 + ❓ = **BioBIT_QA**
From this repository you can download the **BioBIT_QA** (Biomedical Bert for ITalian for Question Answering) checkpoint.
**BioBIT_QA** is built on top of [BioBIT](https://huggingface.co/IVN-RIN/bioBIT), fine-tuned on an Italian Neuropsychological Italian datasets.
More details wil... | {"language": ["it"], "library_name": "Haystack", "tags": ["Biomedical Language Modeling"], "pipeline_tag": "question-answering"} | IVN-RIN/bioBIT_QA | null | [
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"it"
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#Haystack #Biomedical Language Modeling #question-answering #it #region-us
|
+ 🇮🇹 + = BioBIT_QA
From this repository you can download the BioBIT_QA (Biomedical Bert for ITalian for Question Answering) checkpoint.
BioBIT_QA is built on top of BioBIT, fine-tuned on an Italian Neuropsychological Italian datasets.
More details will follow! | [] | [
"TAGS\n#Haystack #Biomedical Language Modeling #question-answering #it #region-us \n"
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_5e-6-b8-4400 | 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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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_5e-6-b64-1600 | 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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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": "facebook/opt-350m"} | SushantGautam/opt-350m-lora | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-facebook/opt-350m #region-us
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# Model Card for Model ID
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### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | null |
# bibidentuhanoi/BMO-7B-Instruct_2-Q4_K_M-GGUF
This model was converted to GGUF format from [`bibidentuhanoi/BMO-7B-Instruct_2`](https://huggingface.co/bibidentuhanoi/BMO-7B-Instruct_2) 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 m... | {"tags": ["llama-cpp", "gguf-my-repo"]} | bibidentuhanoi/BMO-7B-Instruct_2-Q4_K_M-GGUF | null | [
"gguf",
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"gguf-my-repo",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# bibidentuhanoi/BMO-7B-Instruct_2-Q4_K_M-GGUF
This model was converted to GGUF format from 'bibidentuhanoi/BMO-7B-Instruct_2' 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:... | [
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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": "Deci/DeciLM-7B"} | telord/Inst_Post_Generaton_Fine_tuned_DeciLM_7B | null | [
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### Model Description
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- Finetuned from model [optional]:
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- Repository:
- Paper [optional]:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/NousResearch-Llama-2-7b-chat-hf-GPTQ-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers |
# Sappho_V0.0.2
Sappho_V0.0.2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [VAGOsolutions/SauerkrautLM-7b-HerO](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO)
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"tags": ["merge", "mergekit", "lazymergekit", "VAGOsolutions/SauerkrautLM-7b-HerO", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": ["VAGOsolutions/SauerkrautLM-7b-HerO", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | Jakolo121/Sappho_V0.0.2 | null | [
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"base_model:cognitivecomputations/dolph... | null | 2024-04-12T11:55:59+00:00 | [] | [] | TAGS
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# Sappho_V0.0.2
Sappho_V0.0.2 is a merge of the following models using LazyMergekit:
* VAGOsolutions/SauerkrautLM-7b-HerO
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
## Configuration
## Usage
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nllb-1.3b-gu-en-samanantar
This model is a fine-tuned version of [facebook/nllb-200-1.3B](https://huggingface.co/facebook/nllb-2... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["samanantar"], "base_model": "facebook/nllb-200-1.3B", "model-index": [{"name": "nllb-1.3b-gu-en-samanantar", "results": []}]} | jungledude23/nllb-1.3b-gu-en-samanantar | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
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|
# nllb-1.3b-gu-en-samanantar
This model is a fine-tuned version of facebook/nllb-200-1.3B on the samanantar 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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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "this is a story of two misfits who do n't stand a chance alone , but together they... | lucienbaumgartner/setfit-paraphrase-mpnet-base-v2-sst2 | null | [
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] | null | 2024-04-12T11:57:23+00:00 | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
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null | null | Original models:
https://github.com/TencentARC/BrushNet
https://huggingface.co/JunhaoZhuang/PowerPaint_v2 | {"license": "apache-2.0"} | Kijai/BrushNet-fp16 | null | [
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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": []} | HikariLight/Mistral-SUFT-3-5e-05-3-all | 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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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | anrhi/mobile_v2_fake_image_detection | null | [
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#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
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------------------
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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. -->
# distilbertbaselinethreeepochevaluate
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertbaselinethreeepochevaluate", "results": []}]} | KarthikAlagarsamy/distilbertbaselinethreeepochevaluate | null | [
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| distilbertbaselinethreeepochevaluate
====================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.7235
Model description
-----------------
More information needed
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_1e-5-b8-2800 | 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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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_1e-5-b32-2800 | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_1e-5-b64-1200 | null | [
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null | null |
# holaa
holaa is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
* [WizardLM/WizardLM-13B-V1.2](https://huggingface.co/WizardLM/WizardLM-13B-V1.2... | {"tags": ["merge", "mergekit", "lazymergekit", "psmathur/orca_mini_v3_13b", "WizardLM/WizardLM-13B-V1.2", "garage-bAInd/Platypus2-13B"], "base_model": ["psmathur/orca_mini_v3_13b", "WizardLM/WizardLM-13B-V1.2", "garage-bAInd/Platypus2-13B"]} | mgv99/holaa | null | [
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|
# holaa
holaa is a merge of the following models using LazyMergekit:
* psmathur/orca_mini_v3_13b
* WizardLM/WizardLM-13B-V1.2
* garage-bAInd/Platypus2-13B
## Configuration
## Usage
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text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_12_prob
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this mode... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_12_prob | null | [
"bertopic",
"text-classification",
"region:us"
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#bertopic #text-classification #region-us
| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_12\_prob
========================================================================================
This is a BERTopic model.
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vsft-llava-1.5-7b-hf5
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "vsft-llava-1.5-7b-hf5", "results": []}]} | edbeeching/vsft-llava-1.5-7b-hf5 | null | [
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|
# vsft-llava-1.5-7b-hf5
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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audio-classification | transformers |
# WAV2VEC2_CAPSTONE_MODEL
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on a subset of the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3952
- Accuracy: 0.9098
- F1 score: 0.9097
## Model description
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=========================
This model is a fine-tuned version of facebook/wav2vec2-base on a subset of the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3952
* Accuracy: 0.9098
* F1 score: 0.9097
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 10\n* total\\_train\\_batch\\_size: 80\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | transformers |
- **Developed by:** Shekswess
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-chat-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model:
```
[INST] Answer the question truthfully, you are a medical profe... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "medical"], "datasets": ["Shekswess/medical_llama2_instruct_dataset_short"], "base_model": "unsloth/llama-2-7b-chat-bnb-4bit"} | Shekswess/llama-2-7b-chat-bnb-4bit-medical | null | [
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|
- Developed by: Shekswess
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-chat-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model:
Metrics:
- train_runtime: 2216.5047
- train_samples_per_second: 0.902
- tr... | [] | [
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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": []} | thomasht86/mxbai-crossencoder | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T12:12:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
- **Developed by:** Shekswess
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-1.1-7b-it-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model :
```
<start_of_turn>user Answer the question truthfully, you are a... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "medical"], "datasets": ["Shekswess/medical_gemma_instruct_dataset_short"], "base_model": "unsloth/gemma-1.1-7b-it-bnb-4bit"} | Shekswess/gemma-1.1-7b-it-bnb-4bit-medical | null | [
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|
- Developed by: Shekswess
- License: apache-2.0
- Finetuned from model : unsloth/gemma-1.1-7b-it-bnb-4bit
To utilize the fine-tuning of the model, you need to use the gemma instruction prompt template for this medical version of the model :
Metrics:
- train_runtime: 2470.9842
- train_samples_per_second: 0.809
- t... | [] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #medical #en #dataset-Shekswess/medical_gemma_instruct_dataset_short #base_model-unsloth/gemma-1.1-7b-it-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-generation | transformers | | Step | Training Loss |
|-------|---------------|
| 25 | 1.180900 |
| 50 | 0.551100 |
| 75 | 0.833000 |
| 100 | 0.497000 |
| 125 | 0.770000 |
| 150 | 0.479200 |
| 175 | 0.686700 |
| 200 | 0.472500 |
| 225 | 0.684200 |
| 250 | 0.426900 |
| 275 ... | {"license": "apache-2.0", "library_name": "transformers", "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-generation"} | AIgot/copywriting | null | [
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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:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-xxzrbzh | null | [
"transformers",
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"text-generation",
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"conversational",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T12:15:53+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:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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