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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"]} | PaoloB27/Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# 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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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
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
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | hanskantoss/detr | null | [
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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
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.6645
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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fill-mask | 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": []} | quastrinos/deberta-v3-large-finetuned-mlm-accelerate-v3-02-xp-1 | 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. -->
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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": []} | presencesw/Vistral-7B-UIT-CLAIM_2 | 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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text2text-generation | 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. -->
# EN-HI-translation
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "Helsinki-NLP/opus-mt-en-hi", "model-index": [{"name": "EN-HI-translation", "results": []}]} | Nettem-Gayathri/EN-HI-translation | null | [
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| EN-HI-translation
=================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.7639
* Validation Loss: 3.9464
* Epoch: 0
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_80
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-ca... | {"tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_80", "results": []}]} | Elkelouizajo/bert_mnli_80 | null | [
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|
# results_80
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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text-generation | transformers |
## Model Summary
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
The model belongs to the Phi-3 fam... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}, "widget": [{"messages": [{"role": "user", "content": "Can you provide ways... | microsoft/Phi-3-mini-4k-instruct | null | [
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| Model Summary
-------------
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
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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. -->
# AraBert-finetuned-text-classification
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall"], "base_model": "aubmindlab/bert-base-arabertv2", "model-index": [{"name": "AraBert-finetuned-text-classification", "results": []}]} | nasser2001/AraBert-finetuned-text-classification | null | [
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| AraBert-finetuned-text-classification
=====================================
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1192
* Macro F1: 0.9610
* Accuracy: 0.9612
* Recall: 0.9612
Model description
---... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLand... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | conlan/ppo-LunarLander-v3 | null | [
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|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
text-generation | transformers |
# Ghost 7B Alpha
<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/QPrQZMQX_jzyYngmreP0_.jpeg" alt="Ghost 7B Alpha Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
The large generation of language models focuses on optimizing excellent reasonin... | {"language": ["en", "vi"], "license": "other", "library_name": "transformers", "tags": ["ghost", "tools", "chat"], "license_name": "ghost-7b", "license_link": "https://ghost-x.org/ghost-7b-license", "pipeline_tag": "text-generation", "widget": [{"text": "Why is the sky blue ?", "output": {"text": "The sky appears blue ... | ghost-x/ghost-7b-alpha-awq | null | [
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#transformers #safetensors #mistral #text-generation #ghost #tools #chat #conversational #en #vi #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Ghost 7B Alpha
==============
<img src="URL alt="Ghost 7B Alpha Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
The large generation of language models focuses on optimizing excellent reasoning, multi-task knowledge, and tools support.
Introduction
============
Ghost 7B Alpha ... | [
"### Links\n\n\n* Card model: HuggingFace.\n* Official website: Ghost 7B Alpha.\n* Demo: Playground with Ghost 7B Alpha.\n\n\nDistributions\n-------------\n\n\nWe create many distributions to give you the best access options that best suit your needs. Always make sure you know which version you need and what will h... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-00", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "... | phoenixaiden33/Reinforce-00 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
Compiled Mistral-7B-Instruct-v0.2 using optimum-neuron
```
optimum-cli export neuron --model mistralai/Mistral-7B-Instruct-v0.2 --batch_size 1 --sequence_length 1024 --num_cores 2 --auto_cast_type fp16 ./models/mistralai/Mistral-7B-Instruct-v0.2
``` | {"tags": ["Neuron", "Optimum-Neuron", "AWS"], "pipeline_tag": "text-generation"} | cszhzleo/Mistral-7B-Instruct-v0.2-nc2-bs1-token1024-neuron-218 | null | [
"transformers",
"mistral",
"text-generation",
"Neuron",
"Optimum-Neuron",
"AWS",
"conversational",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-22T16:25:17+00:00 | [] | [] | TAGS
#transformers #mistral #text-generation #Neuron #Optimum-Neuron #AWS #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Compiled Mistral-7B-Instruct-v0.2 using optimum-neuron
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feature-extraction | transformers |
# Malaysian Mistral 349M on MLM task using 512 context length
Replicating https://github.com/McGill-NLP/llm2vec using https://huggingface.co/mesolitica/malaysian-mistral-349M-4096, done by https://github.com/aisyahrzk https://twitter.com/aisyahhhrzk
Source code at https://github.com/mesolitica/malaya/tree/master/ses... | {"language": ["ms"], "library_name": "transformers"} | mesolitica/malaysian-mistral-349M-MLM-512 | null | [
"transformers",
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"ms",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T16:25:43+00:00 | [] | [
"ms"
] | TAGS
#transformers #safetensors #mistral #feature-extraction #custom_code #ms #text-generation-inference #region-us
|
# Malaysian Mistral 349M on MLM task using 512 context length
Replicating URL using URL done by URL URL
Source code at URL
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_200
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_200", "results": []}]} | Elkelouizajo/bert_mnli_200 | null | [
"transformers",
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"base_model:google-bert/bert-large-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T16:26:14+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-large-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# results_200
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
## Model Summary
The Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.
This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high-quality and reasoning-dense properties.
The model belong... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?... | microsoft/Phi-3-mini-128k-instruct | null | [
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#transformers #safetensors #phi3 #text-generation #nlp #code #conversational #custom_code #en #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us
| Model Summary
-------------
The Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.
This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high-quality and reasoning-dense properties.
The m... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.0_Seed101 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.0_Seed101 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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text-generation | transformers |
Compiled CodeLlama-7b-hf using optimum-neuron
```shell
optimum-cli export neuron --model codellama/CodeLlama-7b-hf --batch_size 1 --sequence_length 1024 --num_cores 2 --auto_cast_type fp16 ./models/codellama/CodeLlama-7b-hf
| {"tags": ["Neuron", "Optimum-Neuron", "AWS"], "pipeline_tag": "text-generation"} | cszhzleo/CodeLlama-7b-hf-nc2-bs1-token1024-neuron-218 | null | [
"transformers",
"llama",
"text-generation",
"Neuron",
"Optimum-Neuron",
"AWS",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T16:27:15+00:00 | [] | [] | TAGS
#transformers #llama #text-generation #Neuron #Optimum-Neuron #AWS #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Compiled CodeLlama-7b-hf using optimum-neuron
'''shell
optimum-cli export neuron --model codellama/CodeLlama-7b-hf --batch_size 1 --sequence_length 1024 --num_cores 2 --auto_cast_type fp16 ./models/codellama/CodeLlama-7b-hf
| [] | [
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text-generation | transformers |
Compiled Meta-Llama-3-8B-Instruct using optimum-neuron
```shell
optimum-cli export neuron --model NousResearch/Meta-Llama-3-8B-Instruct --batch_size 1 --sequence_length 1024 --num_cores 2 --auto_cast_type fp16 ./models/NousResearch/Meta-Llama-3-8B-Instruct```
| {"tags": ["Neuron", "Optimum-Neuron", "AWS"], "pipeline_tag": "text-generation"} | cszhzleo/Meta-Llama-3-8B-Instruct-nc2-bs1-token1024-neuron-218 | null | [
"transformers",
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"text-generation",
"Neuron",
"Optimum-Neuron",
"AWS",
"conversational",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-22T16:27:35+00:00 | [] | [] | TAGS
#transformers #llama #text-generation #Neuron #Optimum-Neuron #AWS #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Compiled Meta-Llama-3-8B-Instruct using optimum-neuron
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ripaaiii/fine-tune-C1-revised-2 | null | [
"transformers",
"safetensors",
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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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text-generation | transformers |
# Llama-3-11.5B
Llama-3-11.5B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-lla... | {"tags": ["merge", "mergekit", "lazymergekit", "meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B"]} | beratcmn/Llama-3-11.5B | null | [
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
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|
# Llama-3-11.5B
Llama-3-11.5B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B
Check beratcmn/Llama-3-11.5B-v0.1 for a further trained model.
## Configuration
## Usage
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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... | moczard/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#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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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. -->
# basic_train_basic_test 1000 similar params: per_device_train_batch_size=16, # bylo 16 a pod tim 1 gradient_accumulation_steps=1, ... | {"language": ["multilingual"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "basic_train_basic_test 1000 similar params: per_device_train_batch_s... | xbilek25/whisper-small-train-basic_1000_v1.0_shuffled | null | [
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| basic\_train\_basic\_test 1000 similar params: per\_device\_train\_batch\_size=16, # bylo 16 a pod tim 1 gradient\_accumulation\_steps=1, warmup\_steps=250, max\_steps=2000
===================================================================================================================================================... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rubra-9.5b-basic_v10
This model is a fine-tuned version of [models/rubra-9.5b-basic_v9](https://huggingface.co/models/rubra-9.5b... | {"license": "other", "tags": ["llama-factory", "freeze", "generated_from_trainer"], "base_model": "models/rubra-9.5b-basic_v9", "model-index": [{"name": "rubra-9.5b-basic_v10", "results": []}]} | sanjay920/rubra-9.5b-basic_v10 | null | [
"transformers",
"safetensors",
"mistral",
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"llama-factory",
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"base_model:models/rubra-9.5b-basic_v9",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T16:42:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #llama-factory #freeze #generated_from_trainer #conversational #base_model-models/rubra-9.5b-basic_v9 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# rubra-9.5b-basic_v10
This model is a fine-tuned version of models/rubra-9.5b-basic_v9 on the basic_function_calling_expanded_x8, the capybara-expanded, the Coding_GPT4_Data and the gptscript-data_x8 datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
... | [
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"## Model description\n\nMore information needed",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_ChatGPT_t1_tiny_Seed103 | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_ChatGPT_t1_tiny_Seed103 | null | [
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### Model Description
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# camenBERT
This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "almanach/camembert-base", "model-index": [{"name": "camenBERT", "results": []}]} | clairedhx/camenBERT | null | [
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"token-classification",
"generated_from_trainer",
"base_model:almanach/camembert-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T16:44:56+00:00 | [] | [] | TAGS
#transformers #safetensors #camembert #token-classification #generated_from_trainer #base_model-almanach/camembert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| camenBERT
=========
This model is a fine-tuned version of almanach/camembert-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5023
* Precision: 0.9645
* Recall: 0.9718
* F1: 0.9681
* Accuracy: 0.9709
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 10\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text2text-generation | 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. -->
# HI-EN-translation
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hi-en](https://huggingface.co/Helsinki-NLP/opus-mt-hi-en... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "Helsinki-NLP/opus-mt-hi-en", "model-index": [{"name": "HI-EN-translation", "results": []}]} | Nettem-Gayathri/HI-EN-translation | null | [
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"autotrain_compatible",
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| HI-EN-translation
=================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-hi-en on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.5156
* Validation Loss: 3.4966
* Epoch: 0
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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text-classification | setfit |
# SetFit with BAAI/bge-small-en-v1.5
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scik... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "BAAI/bge-small-en-v1.5", "widget": [{"text": "Can you tell I about eny ongoing promoistion onr discounts onteh organic produce?"}, {"text": "A bought so... | wikd/setfit-bge-small-v1.5-sst2-8-shot-multilanguage | null | [
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| SetFit with BAAI/bge-small-en-v1.5
==================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using... | [
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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": ["trl", "sft"]} | AI4DS/CodeLlama-ColSel-8B | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** ruthran
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ruthran/caramel-train-data4-entries518 | null | [
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# Uploaded model
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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 Chinese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) ... | {"language": ["zh"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "model-index": [{"name": "Whisper Small Chinese", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogniti... | arun100/whisper-small-zh-der-1 | null | [
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| Whisper Small Chinese
=====================
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common\_voice\_11\_0 zh-CN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3946
* Wer: 72.3626
Model description
-----------------
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": []} | HenryCai1129/adapter-toxic2nontoxic-1k-greedy-50 | null | [
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text-to-image | diffusers | # MaiMaya
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/radsow/MaiMaya/tree/main) them in the Files & versions tab.
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| # MaiMaya
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | SparkleDark/Pyramids | null | [
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|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
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 ... | [
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text-generation | null |
## Model Summary
This repo provides the GGUF format for the Phi-3-Mini-4K-Instruct.
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-qualit... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | microsoft/Phi-3-mini-4k-instruct-gguf | null | [
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| Model Summary
-------------
This repo provides the GGUF format for the Phi-3-Mini-4K-Instruct.
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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"} | Ehsanl/m3-ranker | null | [
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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.
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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": ["trl", "sft"]} | gechim/vinallama-Q_4-ft-QAhealth | null | [
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## 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-classification | setfit |
# SetFit with BAAI/bge-small-en-v1.5
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scik... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "BAAI/bge-small-en-v1.5", "widget": [{"text": "Can you tell I about eny ongoing promoistion onr discounts onteh organic produce?"}, {"text": "A bought so... | wikd/setfit-bge-small-v1.5-sst2-nlapug-spelling | null | [
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| SetFit with BAAI/bge-small-en-v1.5
==================================
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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]
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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. -->
# SpeechGPT
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the libri... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["librispeech_asr"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "SpeechGPT", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "datas... | tluo23/speech | null | [
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| SpeechGPT
=========
This model is a fine-tuned version of openai/whisper-small on the librispeech\_asr dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0813
* Wer: 2.8093
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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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. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": []}]} | karoladelk/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3378
* Accuracy: 0.9120
Model description
-----------... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Tiny Chinese
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on ... | {"language": ["zh"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "model-index": [{"name": "Whisper Tiny Chinese", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognitio... | arun100/whisper-tiny-zh-der-1 | null | [
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| Whisper Tiny Chinese
====================
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common\_voice\_11\_0 zh-CN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6121
* Wer: 91.0934
Model description
-----------------
More information needed
I... | [
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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": []} | cilantro9246/wsvweyp | null | [
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# Model Card for Model ID
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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... | mbartholet/ppo-lunarlanderv2 | null | [
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# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
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## Usage (with Stable-baselines3)
TODO: Add your code
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null | adapter-transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {"language": ["en"], "library_name": "adapter-transformers", "tags": ["not-for-all-audiences"], "datasets": ["HuggingFaceFW/fineweb"], "metrics": ["character"]} | DannyManly/fall.production.vocals | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** Dogge/Tia-70B-RP-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/main/imag... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "Dogge/Tia-70B-RP-4bit"} | Dogge/Tia-70B-RP-fp16 | null | [
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text-generation | transformers | # LYNN - AI for Roleplay
<img src="./reallynn.png" alt="it's lynn!" width="340"/>
# Soliloquy-L3
Soliloquy-L3 is a fast, highly capable roleplaying model designed for immersive, dynamic experiences. With a vast knowledge base, rich literary expression, and support for up to 24k context length, Soliloquy-L3 outperfor... | {"language": ["en"], "license": "cc-by-nc-4.0"} | hanzogak/Llama-3-Soliloquy-8B-exl2-h8-8.0 | null | [
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| LYNN - AI for Roleplay
======================
Soliloquy-L3
============
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] |
text-generation | transformers |
# yujiepan/Meta-Llama-3-8B-Instruct-gptq-w8asym
This model applies AutoGPTQ on [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
- 8-bit asymmetric weight only quantization
- group_size=-1
- calibration set: c4-new
## Accuracy
| model | precision | wikitext ppl (↓) ... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-Instruct-gptq-w8asym | null | [
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| yujiepan/Meta-Llama-3-8B-Instruct-gptq-w8asym
=============================================
This model applies AutoGPTQ on meta-llama/Meta-Llama-3-8B-Instruct.
* 8-bit asymmetric weight only quantization
* group\_size=-1
* calibration set: c4-new
Accuracy
--------
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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": []} | Denis641/CodeGenNew | null | [
"transformers",
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"1910.09700"
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#transformers #safetensors #codegen #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 | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.0_Seed102 | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.0_Seed102 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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- Finetuned from model [optional]:
### Model Sources [optional]
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- Paper [optional]:
- Demo [optional]:
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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. -->
# ellis-v2-emotion-leadership
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "ellis-v2-emotion-leadership", "results": []}]} | gsl22/ellis-v2-emotion-leadership | null | [
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"text-classification",
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"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T17:24:28+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ellis-v2-emotion-leadership
===========================
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: 0.7460
* Accuracy: 0.9411
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 70",
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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_new
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknow... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "results_new", "results": []}]} | VIN-IT/results_new | null | [
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"text-generation-inference",
"region:us"
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| results\_new
============
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1269
* Rouge1: 0.3870
* Rouge2: 0.1916
* Rougel: 0.3593
* Rougelsum: 0.3586
Model description
-----------------
More information needed
... | [
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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... | adijams01/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-22T17:27:37+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-6.7b-base - bnb 4bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggingf... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-6.7b-base-4bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-22T17:28:14+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-6.7b-base - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek-license
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek C... | [
"### 1. Introduction of Deepseek Coder\n\nDeepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each mod... | [
"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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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... | Alvaroooooooo/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-22T17:32:59+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers | # Diamond-Arconte-13B
Models used:
[ThenMagician/Arconte-13B](https://huggingface.co/ThenMagician/Arconte-13B)
[sequelbox/DiamondForce](https://huggingface.co/sequelbox/DiamondForce)
Finally, something that has common sense! If there was something I didn't like about my models, it was that most of them suffer from ... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "roleplay", "merge", "nsfw"]} | ThenMagician/Diamond-Arconte-13B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"roleplay",
"merge",
"nsfw",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T17:34:36+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #not-for-all-audiences #roleplay #merge #nsfw #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Diamond-Arconte-13B
Models used:
ThenMagician/Arconte-13B
sequelbox/DiamondForce
Finally, something that has common sense! If there was something I didn't like about my models, it was that most of them suffer from logical errors. For example, you have the ring of power from LOTR, and a character may claim that he... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-6.7b-instruct - bnb 4bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://hugg... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-6.7b-instruct-4bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-22T17:35:07+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-6.7b-instruct - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Coder... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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text-generation | transformers |
# QLoRA Finetune Llama 3 Instruct 8B + OpenHermes 2.5
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
Llama 3 Instruct 8B 4-bit from unsloth, finetuned with the OpenHermes 2.5 dataset on my home PC on one 24GB 4090.
Special care was taken to preserve and re... | {"language": ["en"], "license": "other", "tags": ["unsloth", "facebook", "meta", "pytorch", "llama", "llama-3", "trl"], "datasets": ["teknium/OpenHermes-2.5"], "license_name": "llama3", "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | yaystevek/llama-3-8b-Instruct-OpenHermes-2.5-QLoRA | null | [
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|
# QLoRA Finetune Llama 3 Instruct 8B + OpenHermes 2.5
This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
Llama 3 Instruct 8B 4-bit from unsloth, finetuned with the OpenHermes 2.5 dataset on my home PC on one 24GB 4090.
Special care was taken to preserve and reinforce pro... | [
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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": []} | lleticiasilvaa/3b-synthetic-60-checkpoint-8771 | 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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-6.7b-base - bnb 8bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggingf... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-6.7b-base-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-6.7b-base - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek-license
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek C... | [
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null | adapter-transformers | # GPT2 Pretrained Lyric Generation Model
This repository contains a pretrained GPT2 model fine-tuned for lyric generation. The model was trained using the Hugging Face's Transformers library.
## Model Details
- **Model architecture:** GPT2
- **Training data:** The datasets were created using the Genius API and are l... | {"language": ["en"], "license": "cc", "library_name": "adapter-transformers", "tags": ["music", "art"], "datasets": ["SpartanCinder/artist-lyrics-dataset", "SpartanCinder/song-lyrics-artist-classifier"], "metrics": ["accuracy"]} | SpartanCinder/GPT2-finetuned-lyric-generation | null | [
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| # GPT2 Pretrained Lyric Generation Model
This repository contains a pretrained GPT2 model fine-tuned for lyric generation. The model was trained using the Hugging Face's Transformers library.
## Model Details
- Model architecture: GPT2
- Training data: The datasets were created using the Genius API and are linked in... | [
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text-generation | transformers |
# JSL-MedMNX-7B-v2.0
[<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/).
Performance on biomedical benchmarks: [Open Medical LLM Leaderboard](https://hug... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "medical"]} | johnsnowlabs/JSL-MedMNX-7B-v2.0 | null | [
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| JSL-MedMNX-7B-v2.0
==================
<img src="URL
This model is developed by John Snow Labs.
Performance on biomedical benchmarks: Open Medical LLM Leaderboard.
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 commerci... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-100epochs-DoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sha... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-100epochs-DoRA-FreedomIntelligence-indo-2e-4", "results": []}]} | hanifsyarubany10/mistral-7b-100epochs-DoRA-FreedomIntelligence-indo-2e-4 | null | [
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|
# mistral-7b-100epochs-DoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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text-generation | transformers | # LYNN - AI for Roleplay
<img src="./reallynn.png" alt="it's lynn!" width="340"/>
# Soliloquy-L3
Soliloquy-L3 is a fast, highly capable roleplaying model designed for immersive, dynamic experiences. With a vast knowledge base, rich literary expression, and support for up to 24k context length, Soliloquy-L3 outperfor... | {"language": ["en"], "license": "cc-by-nc-4.0"} | hanzogak/Llama-3-Soliloquy-8B-exl2-h8-6.5 | null | [
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| LYNN - AI for Roleplay
======================
Soliloquy-L3
============
Soliloquy-L3 is a fast, highly capable roleplaying model designed for immersive, dynamic experiences. With a vast knowledge base, rich literary expression, and support for up to 24k context length, Soliloquy-L3 outperforms ... | [] | [
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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": []} | relu-ntnu/text_summarization_v5_trained_on_5_lr_2e-5_r8_a16_all_layers | 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. -->
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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. -->
# balagpt-ft2
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "balagpt-ft2", "results": []}]} | Dev-SriramB/balagpt-ft2 | null | [
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| balagpt-ft2
===========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6050
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/text_summarization_v5_trained_on_15_lr_2e-5_r8_a16_all_layers | 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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-6.7b-instruct - bnb 8bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://hugg... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-6.7b-instruct-8bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-6.7b-instruct - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Coder... | [
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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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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# t5-caser-training
This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on a... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "ai-forever/ruT5-base", "model-index": [{"name": "t5-caser-with-metrics", "results": []}]} | XvKuoMing/t5-caser-training | null | [
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| t5-caser-training
=================
This model is a fine-tuned version of ai-forever/ruT5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0362
* Bleu: 78.9669
* Meteor: 0.8847
* Gen Len: 26.9439
Model description
-----------------
More information needed
Intended... | [
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text-to-image | null |
.safetensor model for automatic1111 webui (and similar inference software).
This model is based on "AstraliteHeart/pony-diffusion-v6" (SDXL version), and was finetuned using injection of lora trained by me. | {"language": "en", "license": "unknown", "tags": ["stable-diffusion", "text-to-image"]} | MortalSage/Strange_Pony | null | [
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translation | 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. -->
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsink... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "marian-finetuned-kde4-en-to-fr", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Mode... | shabbineni/marian-finetuned-kde4-en-to-fr | null | [
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|
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.
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- Bleu: 52.8779
## Model description
More information needed
## Intended uses & limitations
More information needed
## T... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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"]} | mabakaik/entregable2 | null | [
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|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-6.7b-base - GGUF
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggingface.c... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-6.7b-base-gguf | null | [
"gguf",
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-6.7b-base - GGUF
* Model creator: URL
* Original model: URL
Name: deepseek-coder-6.7b-base.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: deepseek-coder-6.7b-base.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.61GB
Nam... | [
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image-to-image | null |
# Super-Resolution with Perturbed-Attention Guidance
[Project](https://ku-cvlab.github.io/Perturbed-Attention-Guidance/) / [arXiv](https://arxiv.org/abs/2403.17377) / [GitHub](https://github.com/KU-CVLAB/Perturbed-Attention-Guidance)
This repository is based on [Diffusers](https://huggingface.co/docs/diffusers/index... | {"language": ["en"], "tags": ["Diffusion Models", "Stable Diffusion", "ControlNet", "Perturbed-Attention Guidance", "PAG"], "pipeline_tag": "image-to-image"} | hyoungwoncho/sd_perturbed_attention_guidance_controlnet | null | [
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# Super-Resolution with Perturbed-Attention Guidance
Project / arXiv / GitHub
This repository is based on Diffusers.
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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
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | transformers |
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null | transformers |
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text-to-audio | 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. -->
# SpeechT5 TTS Kinyarwanda
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| SpeechT5 TTS Kinyarwanda
========================
This model is a fine-tuned version of microsoft/speecht5\_tts on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4979
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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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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null | transformers |
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-coder-33b-base - bnb 4bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggingfa... | {} | RichardErkhov/deepseek-ai_-_deepseek-coder-33b-base-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-coder-33b-base - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek-license
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek C... | [
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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": "meta-llama/Meta-Llama-3-8B-Instruct"} | mahmoud-hussein16/Meta-Llama-3-8B-Instruct-SW2-test-fine-tuned-adapters | 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. -->
# checkpoints
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Non... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ai4bharat/kathbath"], "metrics": ["wer"], "base_model": "openai/whisper-small", "pipeline_tag": "automatic-speech-recognition", "model-index": [{"name": "checkpoints", "results": []}]} | Rithik101/WhispASR | null | [
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| checkpoints
===========
This model is a fine-tuned version of openai/whisper-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0775
* Wer: 54.4629
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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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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