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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AwesomeREK/concept-extraction-xlnet-reduced-distant-early-stopping | null | [
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#transformers #safetensors #xlnet #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_base
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_base", "results": []}]} | KarthikAlagarsamy/distilbert_base | null | [
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| distilbert\_base
================
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: 5.8038
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-mpnet-base-v2-v9 | 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. -->
# dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b_maxsteps1200_bz32_lr1e-06
This model is a fine-tuned version of [mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b_maxsteps1200_bz32_lr1e-06", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b_maxsteps1200_bz32_lr1e-06 | null | [
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|
# dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b_maxsteps1200_bz32_lr1e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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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. -->
# Palate-classifier-with-ratings
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/goog... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Palate-classifier-with-ratings", "results": []}]} | lengocquangLAB/Palate-classifier-with-ratings | null | [
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| Palate-classifier-with-ratings
==============================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5897
* Accuracy: 0.4006
* Recall: 0.4006
* Precision: 0.4006
* F1: 0.4006
Model description
----... | [
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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-434img
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-imm5epochs-434img", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-imm5epochs-434img | null | [
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|
# PolizzeDonut-ChangeRequest-imm5epochs-434img
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
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More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | fangzhaoz/mistralv1_spectral_r24_1e4_merged | null | [
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | 0x0mom/st_1 | null | [
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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... | Jyothishwar/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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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
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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. -->
# idiotDeveloper/KoreanTelephone_Mini_dataset_Model
This model is a fine-tuned version of [openai/whisper-base](https://huggingfac... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["idiotDeveloper/KoreanTelephone_Mini_dataset"], "base_model": "openai/whisper-base", "model-index": [{"name": "idiotDeveloper/KoreanTelephone_Mini_dataset_Model", "results": []}]} | idiotDeveloper/KoreanTelephone_Mini_dataset_Model | null | [
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|
# idiotDeveloper/KoreanTelephone_Mini_dataset_Model
This model is a fine-tuned version of openai/whisper-base on the KoreanTelephone_Mini_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
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text-to-audio | audiocraft |
# Model Card for musicgen-songstarter-v0.2
[](https://replicate.com/nateraw/musicgen-songstarter-v0.2) [](https://colab.research.google.com/gist/nater... | {"language": "en", "license": "cc-by-nc-4.0", "library_name": "audiocraft", "tags": ["text-to-audio", "musicgen", "songstarter"], "pipeline_tag": "text-to-audio"} | nateraw/musicgen-songstarter-v0.2 | null | [
"audiocraft",
"text-to-audio",
"musicgen",
"songstarter",
"en",
"license:cc-by-nc-4.0",
"has_space",
"region:us"
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"en"
] | TAGS
#audiocraft #text-to-audio #musicgen #songstarter #en #license-cc-by-nc-4.0 #has_space #region-us
|
# Model Card for musicgen-songstarter-v0.2
![Replicate demo and cloud API](URL ![Open In Colab](URL ![Open in Spaces](URL
musicgen-songstarter-v0.2 is a 'musicgen-stereo-melody-large' fine-tuned on a dataset of melody loops from my Splice sample library. It's intended to be used to generate song ideas that are usefu... | [
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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': 'Lunar... | {"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... | OscarGalavizC/LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-12T06:13:24+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
text-generation | 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. -->
# eu-ai-act-align
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on over 1000 que... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "pipeline_tag": "text-generation", "model-index": [{"name": "eu-ai-act-align", "results": []}]} | Orcawise/eu-ai-act-align | null | [
"peft",
"tensorboard",
"safetensors",
"gemma",
"trl",
"sft",
"generated_from_trainer",
"text-generation",
"base_model:google/gemma-2b",
"license:gemma",
"4-bit",
"region:us"
] | null | 2024-04-12T06:13:57+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #gemma #trl #sft #generated_from_trainer #text-generation #base_model-google/gemma-2b #license-gemma #4-bit #region-us
| eu-ai-act-align
===============
This model is a fine-tuned version of google/gemma-2b on over 1000 questions and answers surrounding the EU AI Act.
It achieves the following results on the evaluation set:
* Loss: 1.7628
Model description
-----------------
EU AI Act Model
ORCAWISE CONTRIBUTORS:
Ikechukwu Ogbuc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | lifshort/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8156
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# Taste-classifier-with-ratings
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/googl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Taste-classifier-with-ratings", "results": []}]} | lengocquangLAB/Taste-classifier-with-ratings | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Taste-classifier-with-ratings
=============================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4503
* Accuracy: 0.4499
* Recall: 0.4499
* Precision: 0.4499
* F1: 0.4499
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-1.1-2b-it - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/... | {} | RichardErkhov/google_-_gemma-1.1-2b-it-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-12T06:16:34+00:00 | [] | [] | TAGS
#gguf #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
gemma-1.1-2b-it - GGUF
* Model creator: URL
* Original model: URL
Name: gemma-1.1-2b-it.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.08GB
Name: gemma-1.1-2b-it.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.16GB
Name: gemma-1.1-2b-it.IQ3... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** TheHappyDrone
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | TheHappyDrone/Occult_V02 | null | [
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"license:apache-2.0",
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"en"
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|
# Uploaded model
- Developed by: TheHappyDrone
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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="dctwan/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"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": ... | dctwan/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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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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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": []} | PeterYang12/fine-tuning-demo | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# MergerixShadowm7exp-7B
MergerixShadowm7exp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MiniMoog/Mergerix-7b-v0.3](https://huggingface.co/MiniMoog/Mergerix-7b-v0.3)
* [mahiatlinux/ShadowM7EXP-7B](https://huggingface.co/mahiatlinux/Shadow... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MiniMoog/Mergerix-7b-v0.3", "mahiatlinux/ShadowM7EXP-7B"]} | automerger/MergerixShadowm7exp-7B | null | [
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"license:apache-2.0",
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"text-generation-inference"... | null | 2024-04-12T06:29:27+00:00 | [] | [] | TAGS
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|
# MergerixShadowm7exp-7B
MergerixShadowm7exp-7B is an automated merge created by Maxime Labonne using the following configuration.
* MiniMoog/Mergerix-7b-v0.3
* mahiatlinux/ShadowM7EXP-7B
## Configuration
## Usage
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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="dctwan/Taxi_v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"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": "7.46 +/- ... | dctwan/Taxi_v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T06:30:18+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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] |
text-generation | transformers |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/llm_surgery/mistral_zephyr_orpo_v0.2?nw=nwusercapecape)
# Mistral 7B Zephyr Orpo
The [Zephyr Orpo](https://huggingface.co/HuggingFaceH4/zephyr-orpo... | {"license": "mit", "library_name": "transformers", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "wandb/Mistral-7B-v0.2"} | wandb/zephyr-orpo-7b-v0.2 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generatio... | null | 2024-04-12T06:31:41+00:00 | [] | [] | TAGS
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# Mistral 7B Zephyr Orpo
The Zephyr Orpo recipe applied on top of Mistral 7B v0.2 (new recipe with new Mistral base model)
## Model description
- Model type: A 7.2B parameter GPT-like model fine-tuned on a mix of publicly available, synthe... | [
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text-generation | 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).
## Mod... | {"license": "other"} | varox34/minillm-7B-init-13B-sft | null | [
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"region:us"
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"1910.09700"
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#transformers #pytorch #llama #text-generation #arxiv-1910.09700 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
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null | null | O que é o creme ValGone gel?
ValGone Onde comprar Creme é uma solução tópica formulada especificamente para aliviar o desconforto associado aos joanetes. Contém uma mistura de ingredientes naturais conhecidos por suas propriedades antiinflamatórias e analgésicas. Esses ingredientes atuam sinergicamente para reduzir a ... | {"license": "apache-2.0"} | ValGone-Portugal/ValGone-Portugal | null | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
| O que é o creme ValGone gel?
ValGone Onde comprar Creme é uma solução tópica formulada especificamente para aliviar o desconforto associado aos joanetes. Contém uma mistura de ingredientes naturais conhecidos por suas propriedades antiinflamatórias e analgésicas. Esses ingredientes atuam sinergicamente para reduzir 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": []} | lemon-mint/gemma-2b-translation-v0.93 | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T06:39:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #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.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Auruncus/lsg-mbart-lsh-ru-128-4-4096-v3 | null | [
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"safetensors",
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers | This is a 4 bit quantized version of Vezora/Mistral-22B-v0.1.
I don't know if it works properly for training. I could not get it to work using Unsloth - it gives OOM error even with very low settings.
According to Vezora there will be a better version coming up soon anyways. Uploading this for fun. | {} | Ba2han/Mistral-22B-v0.1-bnb-4bit | null | [
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"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| This is a 4 bit quantized version of Vezora/Mistral-22B-v0.1.
I don't know if it works properly for training. I could not get it to work using Unsloth - it gives OOM error even with very low settings.
According to Vezora there will be a better version coming up soon anyways. Uploading this for fun. | [] | [
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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="nzdb70/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"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": ... | nzdb70/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T06:43:44+00:00 | [] | [] | TAGS
#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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] |
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. -->
# 0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_6
This model is a fine-tuned version of [ZhangShenao/0.0001_idpo_same_nodpo_nore... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_5", "model-index": [{"name": "0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_6", "results"... | ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_6 | null | [
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"base_model:ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_5",
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"autotrain_compatib... | null | 2024-04-12T06:46:48+00:00 | [] | [] | TAGS
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# 0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_6
This model is a fine-tuned version of ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_5 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
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... | Solohcj/ppo-LunarLander-v2 | null | [
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"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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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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] |
text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | BarhateManthan/my_llama2 | null | [
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"text-generation-inference",
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"conversational",
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"region:us"
] | null | 2024-04-12T06:48:17+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | OscarGalavizC/rl_course_vizdoom_health_gathering_supreme | null | [
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|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | poro1301/zeus-m3 | 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 | adapter-transformers |
# Adapter `jgrc3/seqBN_adapter_classification_noPre` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
This ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/seqBN_adapter_classification_noPre | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/seqBN_adapter_classification_noPre' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapte... | [
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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": []} | mapleadmin/Enlighten_Instruct_merged | null | [
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/wenbopan/Faro-Yi-34B-DPO
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Faro-Yi-34B-DPO-... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["wenbopan/Chinese-dpo-pairs", "Intel/orca_dpo_pairs", "argilla/ultrafeedback-binarized-preferences-cleaned", "jondurbin/truthy-dpo-v0.1"], "base_model": "wenbopan/Faro-Yi-34B-DPO", "quantized_by": "mradermacher"} | mradermacher/Faro-Yi-34B-DPO-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# selfbiorag-7b-sft-wo-live_qa-sft
This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmis-lab/... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "dmis-lab/selfbiorag_7b", "model-index": [{"name": "selfbiorag-7b-sft-wo-live_qa-sft", "results": []}]} | Minbyul/selfbiorag-7b-wo-live_qa-sft | null | [
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"autotrain_compatible",
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] | null | 2024-04-12T06:53:35+00:00 | [] | [] | TAGS
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| selfbiorag-7b-sft-wo-live\_qa-sft
=================================
This model is a fine-tuned version of dmis-lab/selfbiorag\_7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5818
Model description
-----------------
More information needed
I... | [
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text-classification | transformers |
The Label is under description. You can follow the list to know the label model predicted.
We are using the pretrained PhoBERT model by VOVANPHUC (link = "https://huggingface.co/VoVanPhuc/sup-SimCSE-VietNamese-phobert-base ") to train on a Vietnamese dataset consisting of 1.3 GB of articles from Tuoi Tre newspaper, ... | {} | Luan220703/Vietnamese_Categories | null | [
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#transformers #tensorboard #safetensors #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us
|
The Label is under description. You can follow the list to know the label model predicted.
We are using the pretrained PhoBERT model by VOVANPHUC (link = "URL ") to train on a Vietnamese dataset consisting of 1.3 GB of articles from Tuoi Tre newspaper, including columns such as ('URL', 'Title', 'Summary', 'Contents'... | [] | [
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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": []} | Lancelot53/mosaic-rna-bert-trial | null | [
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#transformers #safetensors #bert #fill-mask #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
<!-- 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-25000-25-75-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-25000-25-75-L", "results": []}]} | Niyantha23M/llama-7b-chat-25000-25-75-L | null | [
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"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
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|
# llama-7b-chat-25000-25-75-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
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | null |
<!-- 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-25000-75-25-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-25000-75-25-L", "results": []}]} | Niyantha23M/llama-7b-chat-25000-75-25-L | null | [
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|
# llama-7b-chat-25000-75-25-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
### Tr... | [
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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:
* [WizardLM/WizardMath-7B-V1.1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-hfjular | null | [
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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:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
### Configura... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora", "results": []}]} | yzzh/zephyr-7b-sft-qlora | null | [
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| zephyr-7b-sft-qlora
===================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9438
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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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:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-bvgnomy | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-12T07:01:47+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:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* arcee-ai/sec-mistral-7b-instru... | [
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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. -->
# bart-cnn-samsum-finetuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-l... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-cnn-samsum-finetuned", "results": []}]} | TeamBriefMe/bart-cnn-samsum-finetuned | null | [
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| bart-cnn-samsum-finetuned
=========================
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1470
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. -->
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": []} | 0x0mom/st_2 | 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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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | mohanaroachakka/tinyjandj | null | [
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The following 'bitsandbytes' quantization config was used during training:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "LeroyDyer/Mixtral_AI_CyberTron_m1"} | LeroyDyer/CyberCode_Lora | null | [
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# Model Card for Model ID
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### Model Sources [optional]
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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. -->
# FFPP-Raw_1FPS_faces-expand-0-aligned-normalize-image-mean-std
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "FFPP-Raw_1FPS_faces-expand-0-aligned-normalize-image-mean-std", "results": [{"task": {"type":... | hchcsuim/FFPP-Raw_1FPS_faces-expand-0-aligned-normalize-image-mean-std | null | [
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| FFPP-Raw\_1FPS\_faces-expand-0-aligned-normalize-image-mean-std
===============================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
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* Loss: 0.0031
* 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": []} | abhayesian/BobzillaV10 | null | [
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## Model Details
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | fanghostttt/ppo-LunarLander-v2 | null | [
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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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] |
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": []} | bharathirajan89/bharathi_mistral_7b_pulse_tmp_3000_rows_summary | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbertbaselineoneepoch
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertbaselineoneepoch", "results": []}]} | KarthikAlagarsamy/distilbertbaselineoneepoch | null | [
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| distilbertbaselineoneepoch
==========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
... | [
"### 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: 1",
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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. -->
# Text_Summarization_model_12042024
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "Text_Summarization_model_12042024", "results": []}]} | vishnun0027/Text_Summarization_model_12042024 | null | [
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| Text\_Summarization\_model\_12042024
====================================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5629
* Rouge1: 0.2385
* Rouge2: 0.19
* Rougel: 0.2296
* Rougelsum: 0.2296
* Gen Len: 19.0
Mod... | [
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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": []} | Momnadar/my-awesome-model | null | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
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weighted/imatrix quants of https://huggingface.co/jukofyork/Eurus-70b-sft-fixed
<!-- provided-files -->
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-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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null | transformers |
This model has been pushed to the Hub using ****:
- Repo: [More Information Needed]
- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | Sungeeta/my-model | null | [
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This model has been pushed to the Hub using :
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ahnyeonchan/fluent-capybara-27-replication-merged | 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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- License... | [
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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. -->
# biomistral-7b-wo-live_qa-sft
This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "BioMistral/BioMistral-7B", "model-index": [{"name": "biomistral-7b-wo-live_qa-sft", "results": []}]} | Minbyul/biomistral-7b-wo-live_qa-sft | null | [
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| biomistral-7b-wo-live\_qa-sft
=============================
This model is a fine-tuned version of BioMistral/BioMistral-7B on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7868
Model description
-----------------
More information needed
Intended... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | AlidarAsvarov/ML-Agents-SocerTwos | null | [
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|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## 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:
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aniket-jain-9/distilbert-finetuned-imdb-sentiment | null | [
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## 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 |
# 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": []} | Niyantha23M/llama-7b-chat-50000-25-75-L | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Vxnkyyyyy/distilbert-finetuned-imdb-sentiment | null | [
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"arxiv:1910.09700",
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | uchaturvedi/distilbert-finetuned-imdb-sentiment | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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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. -->
# my_awesome_modelaa
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_modelaa", "results": []}]} | lenate/my_awesome_modelaa | null | [
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"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| my\_awesome\_modelaa
====================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2359
* Accuracy: 0.9312
Model description
-----------------
More information needed
Intended uses & limit... | [
"### 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: 2",
"### Traini... | [
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null | transformers |
# DavidAU/StarDust_20B_v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from [`Evillain/StarDust_20B_v0.2`](https://huggingface.co/Evillain/StarDust_20B_v0.2) 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 model card](https://... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "base_model": ["Kooten/DaringMaid-20B", "TeeZee/DarkForest-20B-v2.0", "athirdpath/Iambe-RP-v3-20b"], "license_name": "microsoft-research-license", "model-index": [{"name": "StarDust_... | DavidAU/StarDust_20B_v0.2-Q4_K_S-GGUF | null | [
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"license:other",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T07:26:36+00:00 | [] | [] | TAGS
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|
# DavidAU/StarDust_20B_v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from 'Evillain/StarDust_20B_v0.2' 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:
Server:
... | [
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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. -->
# albertbaselineoneepoch
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "albertbaselineoneepoch", "results": []}]} | KarthikAlagarsamy/albertbaselineoneepoch | null | [
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"tensorboard",
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"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
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| albertbaselineoneepoch
======================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
--------... | [
"### 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: 1",
"### Traini... | [
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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": []} | Niyantha23M/llama-7b-chat-50000-50-50-L | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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text-generation | transformers |
# Hypothesentrainer: LLM für Feedback auf Schülerhypothesen
Deutschsprachiges LLM, das basierend auf biologischen Forschungsfragen, Schülerhypothesn und Feedback von GPT-4-Turbo mittels Fine-Tuning auf diese spezifische Aufgabe
angepasst wurde.
Das Feedback von GPT-4 wurde mittels eines größeren Prompts so angepasst,... | {"library_name": "transformers", "tags": []} | Tobistd/full-training-7b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"custom_code",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T07:30:59+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Hypothesentrainer: LLM für Feedback auf Schülerhypothesen
=========================================================
Deutschsprachiges LLM, das basierend auf biologischen Forschungsfragen, Schülerhypothesn und Feedback von GPT-4-Turbo mittels Fine-Tuning auf diese spezifische Aufgabe
angepasst wurde.
Das Feedback von ... | [
"### Beispiel:\n\n\nTODO\n\n\nPrompting\n---------\n\n\nTemplate wie in URL\n\n\nBeispielfunktion für das Prompt Format:\n\n\nFinetuning Details\n------------------\n\n\n* Für das Training wurde ein Datensatz mit 1093 Zeilen verwendet.\n* Es wurde auf einem TPU v3-32 Pod-Slice trainiert (URL\n* Das Modell und die D... | [
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null | transformers |
# DavidAU/StarDust_20B_v0.1_slerp-Q4_K_S-GGUF
This model was converted to GGUF format from [`Evillain/StarDust_20B_v0.1_slerp`](https://huggingface.co/Evillain/StarDust_20B_v0.1_slerp) 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 mo... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "base_model": ["Kooten/DaringMaid-20B-V1.1", "TeeZee/DarkForest-20B-v2.0", "athirdpath/Iambe-RP-v3-20b"], "license_name": "microsoft-research-license"} | DavidAU/StarDust_20B_v0.1_slerp-Q4_K_S-GGUF | null | [
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"base_model:athirdpath/Iambe-RP-v3-20b",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T07:32:03+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #base_model-Kooten/DaringMaid-20B-V1.1 #base_model-TeeZee/DarkForest-20B-v2.0 #base_model-athirdpath/Iambe-RP-v3-20b #license-other #endpoints_compatible #region-us
|
# DavidAU/StarDust_20B_v0.1_slerp-Q4_K_S-GGUF
This model was converted to GGUF format from 'Evillain/StarDust_20B_v0.1_slerp' 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:
... | [
"# DavidAU/StarDust_20B_v0.1_slerp-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Evillain/StarDust_20B_v0.1_slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or... | [
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"# DavidAU/StarDust_20B_v0.1_slerp-Q4_K_S-GGUF\nThis... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep12 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T07:32:37+00:00 | [
"1910.09700"
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#transformers #safetensors #xlm-roberta #feature-extraction #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):
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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. -->
# mistral-7b-wo-live_qa-sft
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-wo-live_qa-sft", "results": []}]} | Minbyul/mistral-7b-wo-live_qa-sft | null | [
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| mistral-7b-wo-live\_qa-sft
==========================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6476
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-channel-mix-bpw-2.2 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
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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. -->
# mT5-TextSimp-LT-BatchSize4-lr1e-4
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "google/mt5-base", "model-index": [{"name": "mT5-TextSimp-LT-BatchSize4-lr1e-4", "results": []}]} | eglkan1/mT5-TextSimp-LT-BatchSize4-lr1e-4 | null | [
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| mT5-TextSimp-LT-BatchSize4-lr1e-4
=================================
This model is a fine-tuned version of google/mt5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0737
* Rouge1: 0.7174
* Rouge2: 0.5553
* Rougel: 0.7108
* Sacrebleu: 43.3127
* Gen Len: 38.0501
Model de... | [
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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": []} | HeydarS/tiny_llama_witQA_peft_v54 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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-wetopem | null | [
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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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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-50000-75-25-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"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-50000-75-25-L", "results": []}]} | Niyantha23M/llama-7b-chat-50000-75-25-L | null | [
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] | null | 2024-04-12T07:36:36+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-50000-75-25-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
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers |
<img align="right" src="https://huggingface.co/Tweeties/tweety-tatar-base-7b-2024-v1/resolve/main/TweetyTatar.png?download=true" alt="Tweety-Tatar-7B: A Tatar Large Language Model" width="20%">
# Tweety Tatar / Hydra-Base 7b / 2024-v1
## Model description
This model is our Hydra LLM for the [Tatar language](https://... | {"language": ["tt", "en", "de", "fr", "zh", "pt", "nl", "ru", "ko", "it", "es"], "license": "cc-by-nc-4.0", "tags": ["tweety"], "datasets": ["oscar-corpus/OSCAR-2301"], "base_model": "Unbabel/TowerInstruct-7B-v0.1"} | Tweeties/tweety-tatar-hydra-base-7b-2024-v1 | null | [
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|
<img align="right" src="URL alt="Tweety-Tatar-7B: A Tatar Large Language Model" width="20%">
# Tweety Tatar / Hydra-Base 7b / 2024-v1
## Model description
This model is our Hydra LLM for the Tatar language, converted from the TowerInstruct-7b-v0.1 model trained by Unbabel.
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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-334img
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-imm5epochs-334img", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-imm5epochs-334img | null | [
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"base_model:naver-clova-ix/donut-base",
"license:mit",
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|
# PolizzeDonut-ChangeRequest-imm5epochs-334img
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
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null | transformers |
# DavidAU/Maiden-Unquirked-20B-Q4_K_S-GGUF
This model was converted to GGUF format from [`ND911/Maiden-Unquirked-20B`](https://huggingface.co/ND911/Maiden-Unquirked-20B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "base_model": ["TeeZee/BigMaid-20B-v1.0", "TeeZee/DarkForest-20B-v2.0", "athirdpath/Harmonia-20B"]} | DavidAU/Maiden-Unquirked-20B-Q4_K_S-GGUF | null | [
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"endpoints_compatible",
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] | null | 2024-04-12T07:37:52+00:00 | [] | [] | TAGS
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|
# DavidAU/Maiden-Unquirked-20B-Q4_K_S-GGUF
This model was converted to GGUF format from 'ND911/Maiden-Unquirked-20B' 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:
Server... | [
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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": []} | grrvk/palm-tiny-inst | null | [
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"safetensors",
"mask2former",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #mask2former #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:
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null | null |
# DavidAU/Sakura-13B-LNovel-v0.8-Q6_K-GGUF
This model was converted to GGUF format from [`SakuraLLM/Sakura-13B-LNovel-v0.8`](https://huggingface.co/SakuraLLM/Sakura-13B-LNovel-v0.8) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Sakura-13B-LNovel-v0.8-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Sakura-13B-LNovel-v0.8-Q6_K-GGUF
This model was converted to GGUF format from 'SakuraLLM/Sakura-13B-LNovel-v0.8' 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:
... | [
"# DavidAU/Sakura-13B-LNovel-v0.8-Q6_K-GGUF\nThis model was converted to GGUF format from 'SakuraLLM/Sakura-13B-LNovel-v0.8' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-classification | transformers | # Malicious & Jailbreaking Prompt Classifer
# Datasets Used
[MaliciousInstruct](https://github.com/Princeton-SysML/Jailbreak_LLM/blob/main/data/MaliciousInstruct.txt)
[AART](https://github.com/google-research-datasets/aart-ai-safety-dataset/blob/main/aart-v1-20231117.csv)
[StrongREJECT](https://github.com/alexandra... | {"datasets": ["davanstrien/aart-ai-safety-dataset", "obalcells/advbench", "databricks/databricks-dolly-15k"]} | Al-Chan/Malicious_Prompt_Classifier | null | [
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| # Malicious & Jailbreaking Prompt Classifer
# Datasets Used
MaliciousInstruct
AART
StrongREJECT
DAN
AdvBench
Databricks-Dolly | [
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automatic-speech-recognition | transformers.js | ERROR: type should be string, got "\nhttps://hf.co/vinai/PhoWhisper-large with ONNX weights to be compatible with Transformers.js.\n\nPlease check out this demo using this model:\n[](https://huggingface.co/spaces/huuquyet/PhoWhisper-next)\n\n\n# PhoWhisper: Automatic Speech Recognition for Vietnamese\n\n\nWe introduce **PhoWhisper** in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual [Whisper](https://github.com/openai/whisper) on an 844-hour dataset that encompasses diverse Vietnamese accents. Our experimental study demonstrates state-of-the-art performances of PhoWhisper on benchmark Vietnamese ASR datasets. Please **cite** our PhoWhisper paper when it is used to help produce published results or is incorporated into other software:\n\n```\n@inproceedings{PhoWhisper,\n title = {{PhoWhisper: Automatic Speech Recognition for Vietnamese}},\n author = {Thanh-Thien Le and Linh The Nguyen and Dat Quoc Nguyen},\n booktitle = {Proceedings of the ICLR 2024 Tiny Papers track},\n year = {2024}\n}\n```\n\nFor further information or requests, please go to [PhoWhisper's homepage](https://github.com/VinAIResearch/PhoWhisper)!" | {"language": ["vi"], "license": "wtfpl", "library_name": "transformers.js", "tags": ["audio", "automatic-speech-recognition", "hf-asr-leaderboard"], "widget": [{"example_title": "Librispeech sample 1", "src": "https://cdn-media.huggingface.co/speech_samples/sample1.flac"}, {"example_title": "Librispeech sample 2", "src... | huuquyet/PhoWhisper-large | null | [
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URL with ONNX weights to be compatible with URL.
Please check out this demo using this model:
![Open in Spaces](URL
# PhoWhisper: Automatic Speech Recognition for Vietnamese
We introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-t... | [
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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": []} | JunWorks/Quantized_4bit_WhisperSmallOri | null | [
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"4-bit",
"region:us"
] | null | 2024-04-12T07:47:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ramachaitanya22
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | ramachaitanya22/mistral-7B-ft-health-fitness-v3-4bit-merged | null | [
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|
# Uploaded model
- Developed by: ramachaitanya22
- 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 | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bunnycore/CodeZero-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "ResplendentAI/DaturaCookie_7B", "ResplendentAI/Flora_7B"], "base_model": "bunnycore/CodeZero-7B", "quantized_by": "mradermacher"} | mradermacher/CodeZero-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50_finetuned_cppe5", "results": []}]} | Sajjaviriya/detr-resnet-50_finetuned_cppe5 | null | [
"transformers",
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"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
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"endpoints_compatible",
"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-resnet-50_finetuned_cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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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. -->
# distilbertbaselineoneepochevaluate
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertbaselineoneepochevaluate", "results": []}]} | KarthikAlagarsamy/distilbertbaselineoneepochevaluate | null | [
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| distilbertbaselineoneepochevaluate
==================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and ... | [
"### 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: 1",
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null | null |
# DavidAU/Instruct-v0.2-Seraph-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/Instruct-v0.2-Seraph-7B`](https://huggingface.co/Weyaxi/Instruct-v0.2-Seraph-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"]} | DavidAU/Instruct-v0.2-Seraph-7B-Q6_K-GGUF | null | [
"gguf",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T07:48:09+00:00 | [] | [] | TAGS
#gguf #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Instruct-v0.2-Seraph-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' 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:
S... | [
"# DavidAU/Instruct-v0.2-Seraph-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or 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": []} | winirrr/typhoon-7b-quote-demoModel | null | [
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"arxiv:1910.09700",
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"1910.09700"
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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.
- Developed by:
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- Shared by [optional]:
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | Miltomo/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-12T07:50:48+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n",
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text-generation | transformers |
# NeuralStar-7b-Lazy
NeuralStar-7b-Lazy is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NeuralNovel... | {"tags": ["merge", "mergekit", "lazymergekit", "NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story", "maywell/PiVoT-0.1-Starling-LM-RP"], "base_model": ["NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story", "maywell/PiVoT-0.1-Starling-LM-RP"]} | OmnicromsBrain/NeuralStar-7b-Lazy | null | [
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"text-generation",
"merge",
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"lazymergekit",
"NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story",
"maywell/PiVoT-0.1-Starling-LM-RP",
"conversational",
"base_model:NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story",
"base_model:maywell/PiVoT... | null | 2024-04-12T07:50:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #maywell/PiVoT-0.1-Starling-LM-RP #conversational #base_model-NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #base_model-maywell/PiVoT-0.1-Starling-LM-RP #autotrain_compatible #... |
!image/png
# NeuralStar-7b-Lazy
NeuralStar-7b-Lazy is a merge of the following models using LazyMergekit:
* NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
* maywell/PiVoT-0.1-Starling-LM-RP
## Configuration
## Usage
| [
"# NeuralStar-7b-Lazy\n\nNeuralStar-7b-Lazy is a merge of the following models using LazyMergekit:\n* NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story\n* maywell/PiVoT-0.1-Starling-LM-RP",
"## Configuration",
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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": "google/long-t5-tglobal-base"} | dsolomon/long-t5-base-tglobal-LORA-pubmed-r4-1000-100 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/long-t5-tglobal-base",
"region:us"
] | null | 2024-04-12T07:51:12+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-google/long-t5-tglobal-base #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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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. -->
These are the QLoRA adapters for training [lightblue/Karasu-Mixtral-8x22B-v0.1](https://huggingface.co/lightblue/Karasu-Mixtral-8x2... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "qlora-out-2048-multiling", "results": []}]} | ptrdvn/Karasu-Mixtral-8x22B-v0.1-lora-adapters | null | [
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#peft #safetensors #mixtral #generated_from_trainer #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #4-bit #region-us
|
These are the QLoRA adapters for training lightblue/Karasu-Mixtral-8x22B-v0.1. There are also 4 checkpoints from training.
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# qlora-out-2048-multiling
This mode... | [
"# qlora-out-2048-multiling\n\nThis model is a fine-tuned version of mistral-community/Mixtral-8x22B-v0.1 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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"# qlora-out-2048-multiling\n\nThis model is a fine-tuned version of mistral-community/Mixtral-8x22B-v0.1 on the None dataset.",
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null | null | activation token: pe1nkwe3kti0r
adapter weight: 1.4 | {} | BiQiB7/PinkVector | null | [
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null | null | VJEPA Encoder
The VJEPA Encoder is a Python package that provides an implementation of the encoder component from the JEPA (Joint Encoding for Prediction and Alignment) architecture proposed by Facebook AI Research. The encoder is designed to extract meaningful representations from visual data. I do not own the right... | {} | jonathanzkoch/vjepa-self-driving | null | [
"region:us"
] | null | 2024-04-12T07:55:12+00:00 | [] | [] | TAGS
#region-us
| VJEPA Encoder
The VJEPA Encoder is a Python package that provides an implementation of the encoder component from the JEPA (Joint Encoding for Prediction and Alignment) architecture proposed by Facebook AI Research. The encoder is designed to extract meaningful representations from visual data. I do not own the right... | [
"## Installation\n\nTo install the VJEPA Encoder package, you can use pip:",
"## Usage\n\nTo use the VJEPA Encoder in your Python code, you can import it as follows:",
"### Loading the Encoder\n\nTo load the pre-trained encoder, you can use the 'load_model' function:\n\n\n\n- 'config_file_path': Path to the con... | [
"TAGS\n#region-us \n",
"## Installation\n\nTo install the VJEPA Encoder package, you can use pip:",
"## Usage\n\nTo use the VJEPA Encoder in your Python code, you can import it as follows:",
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null | null |
# DavidAU/Sakura-13B-LNovel-v0.8-Q4_K_M-GGUF
This model was converted to GGUF format from [`SakuraLLM/Sakura-13B-LNovel-v0.8`](https://huggingface.co/SakuraLLM/Sakura-13B-LNovel-v0.8) 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 mod... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Sakura-13B-LNovel-v0.8-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T07:56:05+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Sakura-13B-LNovel-v0.8-Q4_K_M-GGUF
This model was converted to GGUF format from 'SakuraLLM/Sakura-13B-LNovel-v0.8' 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:
... | [
"# DavidAU/Sakura-13B-LNovel-v0.8-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'SakuraLLM/Sakura-13B-LNovel-v0.8' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or ... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
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... | [
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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"]} | Miltomo/Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-12T07:57:46+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# 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 ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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null | null |
# DavidAU/Instruct-v0.2-Seraph-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Instruct-v0.2-Seraph-7B`](https://huggingface.co/Weyaxi/Instruct-v0.2-Seraph-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ... | {"license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"]} | DavidAU/Instruct-v0.2-Seraph-7B-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T07:58:09+00:00 | [] | [] | TAGS
#gguf #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Instruct-v0.2-Seraph-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' 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:
... | [
"# DavidAU/Instruct-v0.2-Seraph-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or t... | [
"TAGS\n#gguf #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# DavidAU/Instruct-v0.2-Seraph-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model... | [
34,
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52
] | [
"TAGS\n#gguf #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# DavidAU/Instruct-v0.2-Seraph-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Us... |
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