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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | shubham11/gemma7bit_adapter_100 | null | [
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|
# Uploaded model
- Developed by: shubham11
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | # Mistral-22B-v0.1-gguf
This repo contains different quantizations of [Mistral-22B-v0.1](https://huggingface.co/Vezora/Mistral-22B-v0.1) | {"license": "apache-2.0", "tags": ["mistral"]} | schizophrenia/Mistral-22B-v0.1-gguf | null | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | aa-unh/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T22:05:04+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | transformers |
# sosoai/hansoldeco-gemma-1.1-2b-it-mlx
This model was converted to MLX format from [`beomi/gemma-ko-2b`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/beomi/gemma-ko-2b) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm ... | {"language": ["ko", "en"], "license": "other", "library_name": "transformers", "tags": ["pytorch", "mlx"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "pipeline_tag": "text-generation"} | sosoai/beomi-gemma-ko-2b-mlx | null | [
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|
# sosoai/hansoldeco-gemma-1.1-2b-it-mlx
This model was converted to MLX format from ['beomi/gemma-ko-2b']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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"]} | AlidarAsvarov/ML-Agents-Pyramids | null | [
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#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 ... | [
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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": []} | raf6423/Phi-2-QA-FineTuned | null | [
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|
# Model Card for Model ID
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw3.7 | null | [
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| ## Quick Summary
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text-generation | transformers |
[<img src="dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Model Card for DictaLM-2.0-AWQ
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
For full details of this model please read our [release blog post](htt... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["pretrained"], "pipeline_tag": "text-generation", "inference": false} | dicta-il/dictalm2.0-AWQ | null | [
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|
<img src="URL" width="300px"/>
# Model Card for DictaLM-2.0-AWQ
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
For full details of this model please read our release blog post.
This model contains the AWQ 4-bit quan... | [
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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. -->
# 4_datasets_fake_news_with_covid_balanced_others_no
This model is a fine-tuned version of [distilbert-base-uncased](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "4_datasets_fake_news_with_covid_balanced_others_no", "results": []}]} | littlepinhorse/4_datasets_fake_news_with_covid_balanced_others_no | null | [
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|
# 4_datasets_fake_news_with_covid_balanced_others_no
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
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- Accuracy: 0.9765
- F1: 0.9822
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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": []} | LongQ/Mistral_SFT_DPO_Lora | null | [
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## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_82 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw4 | null | [
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| ## Quick Summary
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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_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](http... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1", "results": []}]} | ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1 | null | [
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|
# 0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informa... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | simonamdev/openai-whisper-large-v2-jv-PeftType.LORA | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | chatty123/mistral_rank32_dpo | null | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw4.2 | null | [
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| ## Quick Summary
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA DreamBooth - fchen12/SGD_v1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were t... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of girlface"} | fchen12/SGD_v1 | null | [
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|
# LoRA DreamBooth - fchen12/SGD_v1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of girlface using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
## Intended uses & limitations
#### How to... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLand... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | AlidarAsvarov/ppo-unit-8-LunarLander-v2 | null | [
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|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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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... | aka38/ppo-LunarLander-v2 | null | [
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|
# 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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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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="seachus/taxi_1", 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_1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2... | seachus/taxi_1 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-11T22:30:11+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 | # 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-ffdcfot | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T22:30:56+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:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
### Configura... | [
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null | null |
Uploading this here to check for any strange pickle imports | {"license": "mit"} | ManyOtherFunctions/Faceparsin | null | [
"license:mit",
"region:us"
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "bge-m3-custom-fr", "results": [{"task": {"type": "Clustering"}, "dataset": {"name": "MTEB AlloProfClusteringP2P", "type": "ly... | manu/bge-m3-custom-fr | null | [
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"region:us"
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#sentence-transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #sentence-similarity #mteb #model-index #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw4.4 | null | [
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"2403.17887"
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| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
"## Quick Summary\n\nThis model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper \"The Unreasonable Ineffectiveness of the Deeper Layers.\" It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories t... | [
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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... | cansakiroglu/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"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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] |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | wasjaip/my_tree_model_v1_allk | null | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T22:41:39+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | AlidarAsvarov/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T22:41:43+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | paulh27/t5-small-finetuned-xsum | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T22:44:08+00:00 | [] | [] | TAGS
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| t5-small-finetuned-xsum
=======================
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: 2.9389
* Rouge1: 0.2199
* Rouge2: 0.0413
* Rougel: 0.1739
* Rougelsum: 0.1836
Model description
-----------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20",
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/phi-2-GGUF-smashed | null | [
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|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
Simply make AI models cheaper, smaller, faster, and greener!
============================================================
* Give a thumbs up if you like this model!
* Contact us and tell us which model to compress n... | [
"### How to load this model in Python code, using llama-cpp-python\n\n\nFor full documentation, please see: llama-cpp-python docs.",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HikariLight/Mistral-UFT-3-5e-05-3-all | null | [
"transformers",
"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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers |
# Uploaded model
- **Developed by:** czaplon
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
- Developed by: czaplon
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw4.6 | null | [
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null | transformers |
# Model Card for Model ID
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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<!-- 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. -->
# roberta-base
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "roberta-base", "results": []}]} | xshubhamx/roberta-base | null | [
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============
This model was trained from scratch on an unknown dataset.
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw4.8 | null | [
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If anyone wants to make something of this be my guest, but this doesn't even output coherent text [that at least can be restored through fine tuning]. Llama-2-7B with KV heads shorn to 4 of 32. | {"license": "llama2"} | reallad/lesslobollama | null | [
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text-classification | transformers | # German, English, French and Spanish Language Detector
The GEFS-language-detector model outperformed by achieving an impressive F1 score close to 100%. This result significantly exceeds typical benchmarks and underscores the model's accuracy and reliability in identifying languages.
This is a fined tuned model by usi... | {"language": ["en", "de", "fr", "es"], "license": "apache-2.0", "datasets": ["papluca/language-identification"], "metrics": ["precision", "recall", "f1", "accuracy"], "pipeline_tag": "text-classification"} | ImranzamanML/GEFS-language-detector | null | [
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The GEFS-language-detector model outperformed by achieving an impressive F1 score close to 100%. This result significantly exceeds typical benchmarks and underscores the model's accuracy and reliability in identifying languages.
This is a fined tuned model by usi... | [
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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. -->
# outputs
This model is a fine-tuned version of [reallad/lesslobollama](https://huggingface.co/reallad/lesslobollama) on an unknow... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "reallad/lesslobollama", "model-index": [{"name": "outputs", "results": []}]} | reallad/outputs | null | [
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"trl",
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"generated_from_trainer",
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"license:llama2",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-reallad/lesslobollama #license-llama2 #region-us
|
# outputs
This model is a fine-tuned version of reallad/lesslobollama on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaPickAndPlace-v3**
This is a trained model of a **A2C** agent playing **PandaPickAndPlace-v3**
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 hugg... | {"library_name": "stable-baselines3", "tags": ["PandaPickAndPlace-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaPickAndPlace-v3", "ty... | aa-unh/a2c-PandaPickAndPlace-v3 | null | [
"stable-baselines3",
"PandaPickAndPlace-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T23:06:01+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaPickAndPlace-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaPickAndPlace-v3
This is a trained model of a A2C agent playing PandaPickAndPlace-v3
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": []} | jjezabek/ai_swe-starcoder2-7b-set_9-8-epochs | null | [
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"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.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw5 | null | [
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"endpoints_compatible",
"text-generation-inference",
"5-bit",
"region:us"
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| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
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text-generation | null |
## Llamacpp Quantizations of Mistral-22B-v0.1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/Vezora/Mistral-22B-v0.1
All quants made using imatrix opt... | {"license": "apache-2.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Mistral-22B-v0.1-GGUF | null | [
"gguf",
"text-generation",
"license:apache-2.0",
"region:us"
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#gguf #text-generation #license-apache-2.0 #region-us
| Llamacpp Quantizations of Mistral-22B-v0.1
------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
No chat template specified so default is u... | [] | [
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null | null |
# Importance-Matrix quantizations of HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
# first mixtral8x22b finetune 💫
This is a handrolled quantization off of a custom but backwards compatible fork of llama.cpp
Hoping to push edgequants to main llama.cpp repo soon
## MAKE SURE TO MERGE TOGETHER THE TWO PARTS AFTER DOWNLO... | {"license": "apache-2.0", "base_model": "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1"} | nisten/orpo-zephyr-8x22-EdgeQuants-gguf | null | [
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#gguf #base_model-HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 #license-apache-2.0 #region-us
|
# Importance-Matrix quantizations of HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
# first mixtral8x22b finetune
This is a handrolled quantization off of a custom but backwards compatible fork of URL
Hoping to push edgequants to main URL repo soon
## MAKE SURE TO MERGE TOGETHER THE TWO PARTS AFTER DOWNLOADING
## I.e. ... | [
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw5.5 | null | [
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"arxiv:2403.17887",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T23:23:30+00:00 | [
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| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
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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:
* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](ht... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Locutusque/Hercules-4.0-Mistral-v0.2-7B", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | arcee-ai/sec-mistral-v2-Hercules | null | [
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"reg... | null | 2024-04-11T23:24:39+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:
* Locutusque/Hercules-4.0-Mistral-v0.2-7B
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_7b_paper_review_lora
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/m... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_7b_paper_review_lora", "results": []}]} | travis0103/mistral_7b_paper_review_lora | null | [
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|
# mistral_7b_paper_review_lora
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the dataset.
## Model Description
This model is specifically fine-tuned to assist in reviewing machine learning papers based on the abstracts provided. It serves as a useful tool for researchers preparing to... | [
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text-classification | transformers | # Model Card for remix-command-classifier-dbrt
<!-- Provide a quick summary of what the model is/does. -->
This model classifies text into the following categories:
- new_creation
- chat_message
- nudge
## Model Details
Multilingual, based on microsoft/Multilingual-MiniLM-L12-H384 model
| {} | yregelman/remix-command-classifier-minilm-i18n | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
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] | null | 2024-04-11T23:31:57+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| # Model Card for remix-command-classifier-dbrt
This model classifies text into the following categories:
- new_creation
- chat_message
- nudge
## Model Details
Multilingual, based on microsoft/Multilingual-MiniLM-L12-H384 model
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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": []} | ml233/prompt-tuning-no_negation_2choices | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | null |
# PMC LlaMA 13B GGUF Quantized
Referenced from https://github.com/chaoyi-wu/PMC-LLaMA | {"license": "apache-2.0", "pipeline_tag": "text-generation"} | charlestang06/PMC_LlaMA_13B_GGUF | null | [
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#text-generation #license-apache-2.0 #region-us
|
# PMC LlaMA 13B GGUF Quantized
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text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | blockblockblock/Mistral-7B-Instruct-v0.2-sliced-24-layer-bpw6 | null | [
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"text-generation-inference",
"6-bit",
"region:us"
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"2403.17887"
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| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
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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. -->
# finetuning-sentiment-model-distilbert-imdb
This model is a fine-tuned version of [sentence-transformers/all-distilroberta-v1](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "sentence-transformers/all-distilroberta-v1", "model-index": [{"name": "finetuning-sentiment-model-distilbert-imdb", "results": []}]} | abhiramd22/finetuning-sentiment-model-distilbert-imdb | null | [
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"autotrain_compatible",
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|
# finetuning-sentiment-model-distilbert-imdb
This model is a fine-tuned version of sentence-transformers/all-distilroberta-v1 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1865
- Accuracy: 0.947
- F1: 0.9475
## Model description
More information needed
## Intended uses &... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | aka38/ppo-Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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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": []} | Zlovoblachko/CopExp_L1_sent_generator | null | [
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"gpt2",
"text-generation",
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"text-generation-inference",
"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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. -->
# sft-Dolphin-v0.2-on-memory_dialoges
This model is a fine-tuned version of [cognitivecomputations/dolphin-2.8-mistral-7b-v02](htt... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "model-index": [{"name": "sft-Dolphin-v0.2-on-memory_dialoges", "results": []}]} | ghost613/sft-Dolphin-v0.2-on-memory_dialoges | null | [
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| sft-Dolphin-v0.2-on-memory\_dialoges
====================================
This model is a fine-tuned version of cognitivecomputations/dolphin-2.8-mistral-7b-v02 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5359
Model description
-----------------
More information neede... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_83 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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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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null | transformers |
# Uploaded model
- **Developed by:** ababio
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ababio/mistral-7b-it_go_emotion_NS1000 | null | [
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|
# Uploaded model
- Developed by: ababio
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# mistralv1_lora_r8_2e4
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r8_2e4", "results": []}]} | fangzhaoz/mistralv1_lora_r8_2e4 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T23:41:41+00:00 | [] | [] | TAGS
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|
# mistralv1_lora_r8_2e4
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
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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_lora_r8_2e4_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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ChaoticNeutrals/Nyan_Chaos-Vision-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do... | {"language": ["en"], "library_name": "transformers", "base_model": "ChaoticNeutrals/Nyan_Chaos-Vision-7B", "quantized_by": "mradermacher"} | mradermacher/Nyan_Chaos-Vision-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:ChaoticNeutrals/Nyan_Chaos-Vision-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T23:44:33+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-ChaoticNeutrals/Nyan_Chaos-Vision-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-ChaoticNeutrals/Nyan_Chaos-Vision-7B #endpoints_compatible #region-us \n"
] | [
38
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"TAGS\n#transformers #gguf #en #base_model-ChaoticNeutrals/Nyan_Chaos-Vision-7B #endpoints_compatible #region-us \n"
] |
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-ryidhrq | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:WizardLM/WizardMath-7B-V1.1",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T23:46:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-WizardLM/WizardMath-7B-V1.1 #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # 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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"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* WizardLM/WizardMath-7B-V1.1\n* NousResearch/Hermes-2-Pro... | [
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"# merge\n\nThis is a merge of pre-trained la... | [
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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/Noodlz/DolphinStar-12.5B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/DolphinStar-12.5... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Noodlz/DolphinStar-12.5B", "quantized_by": "mradermacher"} | mradermacher/DolphinStar-12.5B-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Noodlz/DolphinStar-12.5B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T23:48:18+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Noodlz/DolphinStar-12.5B #license-apache-2.0 #endpoints_compatible #region-us
| 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. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-Noodlz/DolphinStar-12.5B #license-apache-2.0 #endpoints_compatible #region-us \n"
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42
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"TAGS\n#transformers #gguf #en #base_model-Noodlz/DolphinStar-12.5B #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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. -->
# mbart-large-50-finetuned-es-en-2
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook... | {"language": ["en", "es"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["Helsinki-NLP/opus-100"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-large-50-finetuned-es-en-2", "results": []}]} | Gilito21/mbart-large-50-finetuned-es-en-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"en",
"es",
"dataset:Helsinki-NLP/opus-100",
"base_model:facebook/mbart-large-50",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T23:51:01+00:00 | [] | [
"en",
"es"
] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #en #es #dataset-Helsinki-NLP/opus-100 #base_model-facebook/mbart-large-50 #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# mbart-large-50-finetuned-es-en-2
This model is a fine-tuned version of facebook/mbart-large-50 on the Helsinki-NLP/opus-100.
## Model description
mBART-50 is a multilingual Sequence-to-Sequence model pre-trained using the "Multilingual Denoising Pretraining" objective. It was introduced in Multilingual Translat... | [
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null | null |
# DavidAU/RolePlayLake-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`fhai50032/RolePlayLake-7B`](https://huggingface.co/fhai50032/RolePlayLake-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 card](https://hugg... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "mistral", "SanjiWatsuki/Silicon-Maid-7B", "senseable/WestLake-7B-v2", "llama-cpp", "gguf-my-repo"], "base_model": ["SanjiWatsuki/Silicon-Maid-7B", "senseable/WestLake-7B-v2"], "model-index": [{"name": "RolePlayLake-7B", "results": [{"task": {"type": "text-generat... | DavidAU/RolePlayLake-7B-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"mergekit",
"mistral",
"SanjiWatsuki/Silicon-Maid-7B",
"senseable/WestLake-7B-v2",
"llama-cpp",
"gguf-my-repo",
"base_model:SanjiWatsuki/Silicon-Maid-7B",
"base_model:senseable/WestLake-7B-v2",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T23:51:20+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #mistral #SanjiWatsuki/Silicon-Maid-7B #senseable/WestLake-7B-v2 #llama-cpp #gguf-my-repo #base_model-SanjiWatsuki/Silicon-Maid-7B #base_model-senseable/WestLake-7B-v2 #license-apache-2.0 #model-index #region-us
|
# DavidAU/RolePlayLake-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'fhai50032/RolePlayLake-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:
Server:
N... | [
"# DavidAU/RolePlayLake-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'fhai50032/RolePlayLake-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 CLI.\n\nCL... | [
"TAGS\n#gguf #merge #mergekit #mistral #SanjiWatsuki/Silicon-Maid-7B #senseable/WestLake-7B-v2 #llama-cpp #gguf-my-repo #base_model-SanjiWatsuki/Silicon-Maid-7B #base_model-senseable/WestLake-7B-v2 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/RolePlayLake-7B-Q4_K_M-GGUF\nThis model was converted to... | [
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null | null |
# DavidAU/BeagleLake-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`fhai50032/BeagleLake-7B`](https://huggingface.co/fhai50032/BeagleLake-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 card](https://huggingfac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "mistral", "fhai50032/RolePlayLake-7B", "mlabonne/NeuralBeagle14-7B", "llama-cpp", "gguf-my-repo"], "base_model": ["fhai50032/RolePlayLake-7B", "mlabonne/NeuralBeagle14-7B"], "model-index": [{"name": "BeagleLake-7B", "results": [{"task": {"type": "text-generation"... | DavidAU/BeagleLake-7B-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"mergekit",
"mistral",
"fhai50032/RolePlayLake-7B",
"mlabonne/NeuralBeagle14-7B",
"llama-cpp",
"gguf-my-repo",
"base_model:fhai50032/RolePlayLake-7B",
"base_model:mlabonne/NeuralBeagle14-7B",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T23:52:40+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #mistral #fhai50032/RolePlayLake-7B #mlabonne/NeuralBeagle14-7B #llama-cpp #gguf-my-repo #base_model-fhai50032/RolePlayLake-7B #base_model-mlabonne/NeuralBeagle14-7B #license-apache-2.0 #model-index #region-us
|
# DavidAU/BeagleLake-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'fhai50032/BeagleLake-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:
Server:
Note:... | [
"# DavidAU/BeagleLake-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'fhai50032/BeagleLake-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 CLI.\n\nCLI:\n... | [
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"# DavidAU/BeagleLake-7B-Q4_K_M-GGUF\nThis model was converted to GGU... | [
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"TAGS\n#gguf #merge #mergekit #mistral #fhai50032/RolePlayLake-7B #mlabonne/NeuralBeagle14-7B #llama-cpp #gguf-my-repo #base_model-fhai50032/RolePlayLake-7B #base_model-mlabonne/NeuralBeagle14-7B #license-apache-2.0 #model-index #region-us \n# DavidAU/BeagleLake-7B-Q4_K_M-GGUF\nThis model was converted to GGUF form... |
text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/re3mix3DPvc_vvvt20 | null | [
"diffusers",
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"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-11T23:52:46+00:00 | [
"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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 |
# DavidAU/xLakeChat-Q4_K_M-GGUF
This model was converted to GGUF format from [`fhai50032/xLakeChat`](https://huggingface.co/fhai50032/xLakeChat) 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://huggingface.co/fhai500... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "mistral", "xDAN-AI/xDAN-L1-Chat-RL-v1", "fhai50032/BeagleLake-7B-Toxic", "llama-cpp", "gguf-my-repo"], "base_model": ["xDAN-AI/xDAN-L1-Chat-RL-v1", "fhai50032/BeagleLake-7B-Toxic"], "model-index": [{"name": "xLakeChat", "results": [{"task": {"type": "text-generat... | DavidAU/xLakeChat-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"mergekit",
"mistral",
"xDAN-AI/xDAN-L1-Chat-RL-v1",
"fhai50032/BeagleLake-7B-Toxic",
"llama-cpp",
"gguf-my-repo",
"base_model:xDAN-AI/xDAN-L1-Chat-RL-v1",
"base_model:fhai50032/BeagleLake-7B-Toxic",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-11T23:54:52+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #mistral #xDAN-AI/xDAN-L1-Chat-RL-v1 #fhai50032/BeagleLake-7B-Toxic #llama-cpp #gguf-my-repo #base_model-xDAN-AI/xDAN-L1-Chat-RL-v1 #base_model-fhai50032/BeagleLake-7B-Toxic #license-apache-2.0 #model-index #region-us
|
# DavidAU/xLakeChat-Q4_K_M-GGUF
This model was converted to GGUF format from 'fhai50032/xLakeChat' 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:
Note: You can... | [
"# DavidAU/xLakeChat-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'fhai50032/xLakeChat' 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 CLI.\n\nCLI:\n\n\n\nSe... | [
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"# DavidAU/xLakeChat-Q4_K_M-GGUF\nThis model was converted to... | [
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"TAGS\n#gguf #merge #mergekit #mistral #xDAN-AI/xDAN-L1-Chat-RL-v1 #fhai50032/BeagleLake-7B-Toxic #llama-cpp #gguf-my-repo #base_model-xDAN-AI/xDAN-L1-Chat-RL-v1 #base_model-fhai50032/BeagleLake-7B-Toxic #license-apache-2.0 #model-index #region-us \n# DavidAU/xLakeChat-Q4_K_M-GGUF\nThis model was converted to GGUF ... |
null | transformers |
# DavidAU/RolePlayLake-7B-Toxic-Q4_K_M-GGUF
This model was converted to GGUF format from [`fhai50032/RolePlayLake-7B-Toxic`](https://huggingface.co/fhai50032/RolePlayLake-7B-Toxic) 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 ... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "datasets": ["Undi95/toxic-dpo-v0.1-NoWarning"], "base_model": "fhai50032/RolePlayLake-7B", "model-index": [{"name": "RolePlayLake-7B-Toxic", "results": [{"task"... | DavidAU/RolePlayLake-7B-Toxic-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
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"trl",
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"base_model:fhai50032/RolePlayLake-7B",
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"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T23:56:09+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #en #dataset-Undi95/toxic-dpo-v0.1-NoWarning #base_model-fhai50032/RolePlayLake-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# DavidAU/RolePlayLake-7B-Toxic-Q4_K_M-GGUF
This model was converted to GGUF format from 'fhai50032/RolePlayLake-7B-Toxic' 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/RolePlayLake-7B-Toxic-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'fhai50032/RolePlayLake-7B-Toxic' 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 th... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #en #dataset-Undi95/toxic-dpo-v0.1-NoWarning #base_model-fhai50032/RolePlayLake-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# DavidAU/RolePlayLake-7B-Toxic-Q4_K_M-GGUF\nThis model w... | [
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"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #en #dataset-Undi95/toxic-dpo-v0.1-NoWarning #base_model-fhai50032/RolePlayLake-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# DavidAU/RolePlayLake-7B-Toxic-Q4_K_M-GGUF\nThis model was con... |
text-generation | transformers |
# DavidAU/BeagleLake-7B-Toxic-Q4_K_M-GGUF
This model was converted to GGUF format from [`fhai50032/BeagleLake-7B-Toxic`](https://huggingface.co/fhai50032/BeagleLake-7B-Toxic) 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](... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "datasets": ["Undi95/toxic-dpo-v0.1-NoWarning", "NobodyExistsOnTheInternet/ToxicQAFinal"], "base_model": "fhai50032/BeagleLake-7B", "pipeline_tag": "text-generat... | DavidAU/BeagleLake-7B-Toxic-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"dataset:Undi95/toxic-dpo-v0.1-NoWarning",
"dataset:NobodyExistsOnTheInternet/ToxicQAFinal",
"base_model:fhai50032/BeagleLake-7B",
"license:apache-2.0",
... | null | 2024-04-11T23:57:30+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #text-generation #en #dataset-Undi95/toxic-dpo-v0.1-NoWarning #dataset-NobodyExistsOnTheInternet/ToxicQAFinal #base_model-fhai50032/BeagleLake-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# DavidAU/BeagleLake-7B-Toxic-Q4_K_M-GGUF
This model was converted to GGUF format from 'fhai50032/BeagleLake-7B-Toxic' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
"# DavidAU/BeagleLake-7B-Toxic-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'fhai50032/BeagleLake-7B-Toxic' 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 CL... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #text-generation #en #dataset-Undi95/toxic-dpo-v0.1-NoWarning #dataset-NobodyExistsOnTheInternet/ToxicQAFinal #base_model-fhai50032/BeagleLake-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us \n... | [
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"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #text-generation #en #dataset-Undi95/toxic-dpo-v0.1-NoWarning #dataset-NobodyExistsOnTheInternet/ToxicQAFinal #base_model-fhai50032/BeagleLake-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us \n... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Taiwanese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"language": ["nan"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1", "mozilla-foundation/common_voice_15_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Taiwanese", "results": []}]} | linshoufan/linshoufanfork-whisper-small-nan-tw | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"nan",
"dataset:mozilla-foundation/common_voice_16_1",
"dataset:mozilla-foundation/common_voice_15_0",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatib... | null | 2024-04-11T23:58:32+00:00 | [] | [
"nan"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #nan #dataset-mozilla-foundation/common_voice_16_1 #dataset-mozilla-foundation/common_voice_15_0 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #has_space #region-us
| Whisper Small Taiwanese
=======================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 and the Common Voice 15.0 datasets.
It achieves the following results on the evaluation set:
* Loss: 0.3736
* Cer: 29.6973
Model description
-----------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #nan #dataset-mozilla-foundation/common_voice_16_1 #dataset-mozilla-foundation/common_voice_15_0 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #has_space #region-us \n",
"### ... | [
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #nan #dataset-mozilla-foundation/common_voice_16_1 #dataset-mozilla-foundation/common_voice_15_0 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #has_space #region-us \n### Traini... |
null | null |
# DavidAU/lynn-7b-alpha-Q4_K_M-GGUF
This model was converted to GGUF format from [`openlynn/lynn-7b-alpha`](https://huggingface.co/openlynn/lynn-7b-alpha) 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://huggingface.... | {"license": "cc-by-sa-4.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"]} | DavidAU/lynn-7b-alpha-Q4_K_M-GGUF | null | [
"gguf",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-11T23:58:58+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us
|
# DavidAU/lynn-7b-alpha-Q4_K_M-GGUF
This model was converted to GGUF format from 'openlynn/lynn-7b-alpha' 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:
Note: ... | [
"# DavidAU/lynn-7b-alpha-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'openlynn/lynn-7b-alpha' 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 CLI.\n\nCLI:\n\... | [
"TAGS\n#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us \n",
"# DavidAU/lynn-7b-alpha-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'openlynn/lynn-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model... | [
44,
74,
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] | [
"TAGS\n#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us \n# DavidAU/lynn-7b-alpha-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'openlynn/lynn-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Us... |
text-generation | transformers |
# DavidAU/lostmagic-RP_7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Dunjeon/lostmagic-RP_7B`](https://huggingface.co/Dunjeon/lostmagic-RP_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 card](https://huggingf... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["roleplay", "uncensored", "lewd", "mature", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/lostmagic-RP_7B-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"roleplay",
"uncensored",
"lewd",
"mature",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T00:00:12+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #uncensored #lewd #mature #not-for-all-audiences #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# DavidAU/lostmagic-RP_7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Dunjeon/lostmagic-RP_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:
Server:
Not... | [
"# DavidAU/lostmagic-RP_7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Dunjeon/lostmagic-RP_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 CLI.\n\nCLI:... | [
"TAGS\n#transformers #gguf #roleplay #uncensored #lewd #mature #not-for-all-audiences #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"# DavidAU/lostmagic-RP_7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Dunjeon/lostmagic-RP_7B' using URL v... | [
69,
81,
52
] | [
"TAGS\n#transformers #gguf #roleplay #uncensored #lewd #mature #not-for-all-audiences #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n# DavidAU/lostmagic-RP_7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Dunjeon/lostmagic-RP_7B' using URL via the... |
null | transformers |
# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q4_K_M-GGUF
This model was converted to GGUF format from [`NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story`](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-or... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Neural-Story-v1"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false, "model-index": [{"name": "Mistral-7B-Instruct-v0.2-Neural-Story", "results": [{"task":... | DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:NeuralNovel/Neural-Story-v1",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-12T00:01:30+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us
|
# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q4_K_M-GGUF
This model was converted to GGUF format from 'NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story' 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 th... | [
"# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story' 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... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mistr... | [
76,
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #model-index #region-us \n# DavidAU/Mistral-7B-Instruct-v0.2-Neural-Story-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mistral-7B-... |
null | null |
# DavidAU/Senzu-7B-v0.1-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`NeuralNovel/Senzu-7B-v0.1-DPO`](https://huggingface.co/NeuralNovel/Senzu-7B-v0.1-DPO) 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](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["practical-dreamer/RPGPT_PublicDomain-alpaca", "shuyuej/metamath_gsm8k", "NeuralNovel/Neural-DPO"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "out", "results": []}]} | DavidAU/Senzu-7B-v0.1-DPO-Q4_K_M-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:practical-dreamer/RPGPT_PublicDomain-alpaca",
"dataset:shuyuej/metamath_gsm8k",
"dataset:NeuralNovel/Neural-DPO",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T00:03:33+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Senzu-7B-v0.1-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1-DPO' 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... | [
"# DavidAU/Senzu-7B-v0.1-DPO-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1-DPO' 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 CLI.... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# DavidAU/Senzu-7B-v0.1-DPO-Q4_K_M-GGUF\nThis model was conv... | [
103,
89,
52
] | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# DavidAU/Senzu-7B-v0.1-DPO-Q4_K_M-GGUF\nThis model was converted ... |
text-generation | transformers |
# NeuralsynthesisMultiverseex26-7B
NeuralsynthesisMultiverseex26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Kukedlc/NeuralSynthesis-7B-v0.1](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.1)
* [allknowingroger/MultiverseEx26-7B-sle... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Kukedlc/NeuralSynthesis-7B-v0.1", "allknowingroger/MultiverseEx26-7B-slerp"]} | automerger/NeuralsynthesisMultiverseex26-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:Kukedlc/NeuralSynthesis-7B-v0.1",
"base_model:allknowingroger/MultiverseEx26-7B-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-ge... | null | 2024-04-12T00:04:43+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-Kukedlc/NeuralSynthesis-7B-v0.1 #base_model-allknowingroger/MultiverseEx26-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# NeuralsynthesisMultiverseex26-7B
NeuralsynthesisMultiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
* Kukedlc/NeuralSynthesis-7B-v0.1
* allknowingroger/MultiverseEx26-7B-slerp
## Configuration
## Usage
| [
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"## Configuration",
"## Usage"
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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. -->
# XLS-R-LUGANDA-ASR-CV-14-1B
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_14_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-1b", "model-index": [{"name": "XLS-R-LUGANDA-ASR-CV-14-1B", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "... | dmusingu/XLS-R-LUGANDA-ASR-CV-14-1B | null | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_14_0",
"base_model:facebook/wav2vec2-xls-r-1b",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T00:06:03+00:00 | [] | [] | TAGS
#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_14_0 #base_model-facebook/wav2vec2-xls-r-1b #license-apache-2.0 #model-index #endpoints_compatible #region-us
| XLS-R-LUGANDA-ASR-CV-14-1B
==========================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common\_voice\_14\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: inf
* Wer: 0.3060
* Cer: 0.0713
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_14_0 #base_model-facebook/wav2vec2-xls-r-1b #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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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. -->
# fine-tuning-Phi2-with-webglm-qa-with-lora_9
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/micro... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "fine-tuning-Phi2-with-webglm-qa-with-lora_9", "results": []}]} | Gunslinger3D/fine-tuning-Phi2-with-webglm-qa-with-lora_9 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-12T00:06:52+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| fine-tuning-Phi2-with-webglm-qa-with-lora\_9
============================================
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1781
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 10\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumu... | [
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null | null |
# DavidAU/Senzu-7B-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`NeuralNovel/Senzu-7B-v0.1`](https://huggingface.co/NeuralNovel/Senzu-7B-v0.1) 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://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["practical-dreamer/RPGPT_PublicDomain-alpaca", "shuyuej/metamath_gsm8k", "NeuralNovel/Neural-DPO"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "out", "results": []}]} | DavidAU/Senzu-7B-v0.1-Q4_K_M-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:practical-dreamer/RPGPT_PublicDomain-alpaca",
"dataset:shuyuej/metamath_gsm8k",
"dataset:NeuralNovel/Neural-DPO",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T00:07:15+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# DavidAU/Senzu-7B-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1' 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:
Not... | [
"# DavidAU/Senzu-7B-v0.1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Senzu-7B-v0.1' 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 CLI.\n\nCLI:... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# DavidAU/Senzu-7B-v0.1-Q4_K_M-GGUF\nThis model was converte... | [
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"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-practical-dreamer/RPGPT_PublicDomain-alpaca #dataset-shuyuej/metamath_gsm8k #dataset-NeuralNovel/Neural-DPO #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# DavidAU/Senzu-7B-v0.1-Q4_K_M-GGUF\nThis model was converted to G... |
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_2
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_1", "model-index": [{"name": "0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_2", "results"... | ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1",
"license:mit",
"autotrain_compatib... | null | 2024-04-12T00:08:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference... |
# 0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and e... | [
"# 0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0001_idpo_same_nodpo_noreplacerej_6iters_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
... | [
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null | mlx |
# mlx-community/zephyr-orpo-141b-A35b-v0.1-4bit
This model was converted to MLX format from [`HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1`]().
Refer to the [original model card](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer", "mlx"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | mlx-community/zephyr-orpo-141b-A35b-v0.1-4bit | null | [
"mlx",
"safetensors",
"mixtral",
"trl",
"orpo",
"generated_from_trainer",
"dataset:argilla/distilabel-capybara-dpo-7k-binarized",
"base_model:mistral-community/Mixtral-8x22B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T00:08:44+00:00 | [] | [] | TAGS
#mlx #safetensors #mixtral #trl #orpo #generated_from_trainer #dataset-argilla/distilabel-capybara-dpo-7k-binarized #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #region-us
|
# mlx-community/zephyr-orpo-141b-A35b-v0.1-4bit
This model was converted to MLX format from ['HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/zephyr-orpo-141b-A35b-v0.1-4bit\nThis model was converted to MLX format from ['HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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text-to-image | diffusers | # AaronFox_NexoKnights
<Gallery />
## Model description
Here's my RVC voice model of Aaron Fox from Nexo Knights.
## Trigger words
You should use `Please spare me` to trigger the image generation.
## Download model
[Download](/SenseiYang/AaronFox_NexoKnights/tree/main) them in the Files & versions tab.
| {"license": "cc-by-nc-sa-4.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "NEFT", "parameters": {"negative_prompt": "high-tech archer"}, "output": {"url": "images/aaron fox.webp"}}], "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "Plea... | SenseiYang/AaronFox_NexoKnights | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-12T00:09:59+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-cc-by-nc-sa-4.0 #region-us
| # AaronFox_NexoKnights
<Gallery />
## Model description
Here's my RVC voice model of Aaron Fox from Nexo Knights.
## Trigger words
You should use 'Please spare me' to trigger the image generation.
## Download model
Download them in the Files & versions tab.
| [
"# AaronFox_NexoKnights\n\n<Gallery />",
"## Model description \n\nHere's my RVC voice model of Aaron Fox from Nexo Knights.",
"## Trigger words\n\nYou should use 'Please spare me' to trigger the image generation.",
"## Download model\n\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-cc-by-nc-sa-4.0 #region-us \n",
"# AaronFox_NexoKnights\n\n<Gallery />",
"## Model description \n\nHere's my RVC voice model of Aaron Fox from Nexo Knights.",
"## Trigger words\n\... | [
58,
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"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-cc-by-nc-sa-4.0 #region-us \n# AaronFox_NexoKnights\n\n<Gallery />## Model description \n\nHere's my RVC voice model of Aaron Fox from Nexo Knights.## Trigger words\n\nYou should use 'P... |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Text-to-image finetuning - ilustraviz/training_stollar_syle
This pipeline was finetuned from **runwayml/stable-diffusio... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training"], "inference": true, "base_model": "runway... | ilustraviz/training_stollar_syle | null | [
"diffusers",
"tensorboard",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"diffusers-training",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-12T00:11:20+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Text-to-image finetuning - ilustraviz/training_stollar_syle
This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the ilustraviz/style1 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['stollar_style']:
!val_imgs_grid
## Pipeline usage
Y... | [
"# Text-to-image finetuning - ilustraviz/training_stollar_syle\n\nThis pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the ilustraviz/style1 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['stollar_style']: \n\n!val_imgs_grid",
"## Pipeline ... | [
"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Text-to-image finetuning - ilustraviz/t... | [
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"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Text-to-image finetuning - ilustraviz/trainin... |
null | null |
# DavidAU/Ignis-7B-DPO-Laser-Q4_K_M-GGUF
This model was converted to GGUF format from [`NeuralNovel/Ignis-7B-DPO-Laser`](https://huggingface.co/NeuralNovel/Ignis-7B-DPO-Laser) 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]... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Neural-DPO"], "model-index": [{"name": "Ignis-7B-DPO-Laser", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_a... | DavidAU/Ignis-7B-DPO-Laser-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:NeuralNovel/Neural-DPO",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-12T00:12:24+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-NeuralNovel/Neural-DPO #license-apache-2.0 #model-index #region-us
|
# DavidAU/Ignis-7B-DPO-Laser-Q4_K_M-GGUF
This model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO-Laser' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
"# DavidAU/Ignis-7B-DPO-Laser-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO-Laser' 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 CL... | [
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50,
83,
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text-to-image | diffusers | # ClayMoorington_NexoKnights
<Gallery />
## Model description
Here's my RVC voice model of Clay Moorington from Nexo Knights.
## Trigger words
You should use `Please spare me` to trigger the image generation.
## Download model
[Download](/SenseiYang/ClayMoorington_NexoKnights/tree/main) them in the Files ... | {"license": "cc-by-4.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "NEFT", "parameters": {"negative_prompt": "the leader"}, "output": {"url": "images/clay_moorington_in_lego_nexo_knights_by_tlsonic214_dcokllk-fullview.jpg"}}], "base_model": "cagliostrola... | SenseiYang/ClayMoorington_NexoKnights | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:cagliostrolab/animagine-xl-3.1",
"license:cc-by-4.0",
"region:us"
] | null | 2024-04-12T00:14:36+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-cc-by-4.0 #region-us
| # ClayMoorington_NexoKnights
<Gallery />
## Model description
Here's my RVC voice model of Clay Moorington from Nexo Knights.
## Trigger words
You should use 'Please spare me' to trigger the image generation.
## Download model
Download them in the Files & versions tab.
| [
"# ClayMoorington_NexoKnights\n\n<Gallery />",
"## Model description \n\nHere's my RVC voice model of Clay Moorington from Nexo Knights.",
"## Trigger words\n\nYou should use 'Please spare me' to trigger the image generation.",
"## Download model\n\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-cc-by-4.0 #region-us \n",
"# ClayMoorington_NexoKnights\n\n<Gallery />",
"## Model description \n\nHere's my RVC voice model of Clay Moorington from Nexo Knights.",
"## Trigger wo... | [
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"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-cc-by-4.0 #region-us \n# ClayMoorington_NexoKnights\n\n<Gallery />## Model description \n\nHere's my RVC voice model of Clay Moorington from Nexo Knights.## Trigger words\n\nYou should ... |
null | null |
# DavidAU/Ignis-7B-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`NeuralNovel/Ignis-7B-DPO`](https://huggingface.co/NeuralNovel/Ignis-7B-DPO) 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://huggingfa... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Ignis-7B-DPO-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T00:16:21+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Ignis-7B-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO' 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:
Note:... | [
"# DavidAU/Ignis-7B-DPO-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Ignis-7B-DPO' 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 CLI.\n\nCLI:\n... | [
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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": []} | shallow6414/ecuaxri | null | [
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"text-generation",
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"arxiv:1910.09700",
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #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-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": []} | ccw7463/gemma-ko-2b-finetuned_ver0.4 | 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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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | joen2010/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T00:38:46+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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-25k_65_35-comm-liberal
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.c... | {"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-25k_65_35-comm-liberal", "results": []}]} | Niyantha23M/llama-7b-chat-25k_65_35-comm-liberal | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-12T00:39:17+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-25k_65_35-comm-liberal
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 procedur... | [
"# llama-7b-chat-25k_65_35-comm-liberal\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
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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. -->
# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-4
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-imdb-410m-mz-ada-v3-bs-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-410m-mz-ada-v3-bs-4 | null | [
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"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T00:39:55+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-4
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# robust_llm_pythia-imdb-410m-mz-ada-v3-bs-4\n\nThis model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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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": []} | mkrasnow/hdag_instruct_v2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T00:41:28+00:00 | [
"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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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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-25k_50_50
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-25k_50_50", "results": []}]} | Niyantha23M/llama-7b-chat-25k_50_50 | null | [
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-12T00:42:51+00:00 | [] | [] | TAGS
#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-25k_50_50
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
### Traini... | [
"# llama-7b-chat-25k_50_50\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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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-finetuned-kwsylgen-64
This model is a fine-tuned version of [adamjweintraut/bart-finetuned-lyrlen-64-lines](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "adamjweintraut/bart-finetuned-lyrlen-64-lines", "model-index": [{"name": "bart-finetuned-kwsylgen-64", "results": []}]} | adamjweintraut/bart-finetuned-kwsylgen-64 | null | [
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"safetensors",
"bart",
"text2text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T00:44:34+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-adamjweintraut/bart-finetuned-lyrlen-64-lines #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bart-finetuned-kwsylgen-64
==========================
This model is a fine-tuned version of adamjweintraut/bart-finetuned-lyrlen-64-lines on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5197
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* 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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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... | Ceribo/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T00:46:11+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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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... | {"language": ["tl", "en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["MENG21/studfacultyeval_dataset"], "metrics": ["accuracy", "f1", "recall", "precision"], "pipeline_tag": "text-classification", "widget": [{"text": "laging pumapasok si sir!", "example_title": "Tagalog"}, {"text": "I really... | MENG21/stud-fac-eval-bert-base-uncased_v2 | null | [
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"region:us"
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"1910.09700"
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#transformers #safetensors #bert #text-classification #tl #en #dataset-MENG21/studfacultyeval_dataset #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #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 |
Self trained GPT-2 tiny. Around 110M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is trained on around 40B tokens.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be follow... | {"license": "apache-2.0"} | DrNicefellow/gpt2-final | null | [
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Self trained GPT-2 tiny. Around 110M parameters.
The tokenizer is the one from URL
It is trained on around 40B tokens.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.
## Discord Server
Join our Discord ... | [
"## License\n\nThis model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.",
"## Discord Server\n\nJoin our Discord server here."
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