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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-bzasjyl | null | [
"transformers",
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"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 | 2024-04-15T11:34:33+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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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | Changlin/emb | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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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... | omsharma24/ppo-LunarLander-v2 | null | [
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] | null | 2024-04-15T11:37:36+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers | # 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:
* [TheDrummer/Moistral-11B-v2](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TheDrummer/Moistral-11B-v2", "Sao10K/Fimbulvetr-11B-v2"]} | mergekit-community/mergekit-slerp-oskyrzi | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* TheDrummer/Moistral-11B-v2
* Sao10K/Fimbulvetr-11B-v2
### Configuration
The fol... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "confidence_sft_v1_full_merge_1"} | ofua/confidence_oair_v1_merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | peft | LoRA trained in 4-bit with 8k context using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf/) as the base model for 1 epoch.
Dataset used is [a modified](https://huggingface.co/datasets/mpasila/PIPPA-ShareGPT-formatted-named) version of [KaraKaraWitch/PIPPA-ShareGPT-formatted](https:... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "not-for-all-audiences"], "datasets": ["mpasila/PIPPA-ShareGPT-formatted-named", "KaraKaraWitch/PIPPA-ShareGPT-formatted"], "base_model": "unsloth/mistral-7b-v0.2-bnb-... | mpasila/PIPPA-Named-LoRA-7B | null | [
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| LoRA trained in 4-bit with 8k context using alpindale/Mistral-7B-v0.2-hf as the base model for 1 epoch.
Dataset used is a modified version of KaraKaraWitch/PIPPA-ShareGPT-formatted.
### Prompt format: ChatML
# Uploaded model
- Developed by: mpasila
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-... | [
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text-generation | transformers | This is a merge of [mpasila/PIPPA-Named-LoRA-7B](https://huggingface.co/mpasila/PIPPA-Named-LoRA-7B/).
LoRA trained in 4-bit with 8k context using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf/) as the base model for 1 epoch.
Dataset used is [a modified](https://huggingface.co/dat... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "not-for-all-audiences"], "datasets": ["mpasila/PIPPA-ShareGPT-formatted-named", "KaraKaraWitch/PIPPA-ShareGPT-formatted"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | mpasila/PIPPA-Named-7B | null | [
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- License: apache... | [
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text-generation | transformers |
# CodeQwen1.5-7B-Chat-AWQ
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
* Supporting long cont... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat-AWQ/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/CodeQwen1.5-7B-Chat-AWQ | null | [
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|
# CodeQwen1.5-7B-Chat-AWQ
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
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text-generation | transformers |
<div align="center">
<img src="https://huggingface.co/openbmb/Eurus-7b-sft/resolve/main/figures/Eurus-logo.png" width="200px">
**Eurus: A suite of open-source LLMs optimized for reasoning**
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
... | {"license": "apache-2.0", "tags": ["reasoning", "preference_learning", "nca"], "datasets": ["openbmb/UltraInteract_sft", "openbmb/UltraInteract_pair", "openbmb/UltraFeedback"], "pipeline_tag": "text-generation"} | openbmb/Eurux-8x22b-nca | null | [
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"arxiv:2402.05369",
"license:apache-2.0"... | null | 2024-04-15T11:43:06+00:00 | [
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<img src="URL width="200px">
Eurus: A suite of open-source LLMs optimized for reasoning
[Introduction](#introduction) •
[Evaluation](#evaluation)
Links
=====
* Paper
* Eurus Collection
* UltraInteract
* SFT
* Preference Learning
* GitHub Repo
Introduction
============
Eurux-8x22B-NCA is SFT and NCA fi... | [] | [
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null | adapter-transformers |
# Adapter `jgrc3/RobertaDAPT_adapters_unipelt` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset.
This ad... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | jgrc3/RobertaDAPT_adapters_unipelt | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'jgrc3/RobertaDAPT_adapters_unipelt' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adapter can ... | [
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text-generation | transformers |
<div align="center">
<img src="https://huggingface.co/openbmb/Eurus-7b-sft/resolve/main/figures/Eurus-logo.png" width="200px">
**Eurus: A suite of open-source LLMs optimized for reasoning**
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
... | {"license": "apache-2.0", "tags": ["reasoning", "preference_learning", "nca"], "datasets": ["openbmb/UltraInteract_sft", "openbmb/UltraInteract_pair", "openbmb/UltraFeedback"], "pipeline_tag": "text-generation"} | openbmb/Eurux-8x22b-kto | null | [
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<img src="URL width="200px">
Eurus: A suite of open-source LLMs optimized for reasoning
[Introduction](#introduction) •
[Evaluation](#evaluation)
Links
=====
* Paper
* Eurus Collection
* UltraInteract
* SFT
* Preference Learning
* GitHub Repo
Introduction
============
Eurux-8x22B-KTO is SFT and KTO fi... | [] | [
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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_r16_2e4_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r16_2e4_e3", "results": []}]} | fangzhaoz/mistralv1_lora_r16_2e4_e3 | null | [
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|
# mistralv1_lora_r16_2e4_e3
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 hype... | [
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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_r16_2e4_e3_merged | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_trained-mental-clm-model
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "my_trained-mental-clm-model", "results": []}]} | justinandhika/my_trained-mental-clm-model | null | [
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| my\_trained-mental-clm-model
============================
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4286
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HeydarS/MiniCPM_witQA_peft_v58 | null | [
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|
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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- bnb_4bit_quant_type: nf4
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#peft #region-us
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- load_in_4bit: True
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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. -->
# Alpha_0.3
This model is a fine-tuned version of [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) on t... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "datasets": ["example_dataset"], "base_model": "mlabonne/AlphaMonarch-7B", "model-index": [{"name": "Alpha_0.3", "results": []}]} | TanvirMungekar/Alpha_0.3 | null | [
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# Alpha_0.3
This model is a fine-tuned version of mlabonne/AlphaMonarch-7B on the example dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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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. -->
# bert-base-uncased-finetuned-climate-stance-detection
This model is a fine-tuned version of [bert-base-uncased](https://huggingfa... | {"language": ["en"], "tags": ["generated_from_trainer", "stance detection", "bert"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "widget": [{"text": "De-carbonization is not happening fast enough.", "example_title": "Positive example"}, {"text": "The sea is not rising.", "example_title": "Negative... | rldekkers/bert-base-uncased-finetuned-climate-stance-detection | null | [
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| bert-base-uncased-finetuned-climate-stance-detection
====================================================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1210
* Accuracy: 0.6244
* F1: 0.6184
Model description
---------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/LlamaAdapter-llama2-happy-200 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# salt_language_ID
This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/t5-efficient-tiny", "model-index": [{"name": "salt_language_ID", "results": []}]} | yigagilbert/salt_language_ID | null | [
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| salt\_language\_ID
==================
This model is a fine-tuned version of google/t5-efficient-tiny on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0226
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vsft-idefics2
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "vsft-idefics2", "results": []}]} | edbeeching/vsft-idefics2 | null | [
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|
# vsft-idefics2
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Charishma27/200_data_model | null | [
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## Model Details
### Model Description
- Developed by:
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text-to-image | diffusers |
# DreamBooth - SidXXD/Attn_Maps-test
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "dreambooth"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "a photo of sks dog", "inference": true} | SidXXD/Attn_Maps-test | null | [
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|
# DreamBooth - SidXXD/Attn_Maps-test
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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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. -->
# base_emotion_0415
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "recall"], "base_model": "bert-base-uncased", "model-index": [{"name": "base_emotion_0415", "results": []}]} | LaoLaoFish/base_emotion_0415 | null | [
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| base\_emotion\_0415
===================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1231
* Accuracy: 0.9555
* F1: 0.9553
* Precision:: 0.9564
* Recall: 0.9555
Model description
-----------------
More informatio... | [
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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/sad_pepe_21 | null | [
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### Model Description
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null | null | Number of experts present in the library: 263
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| sciq_Multiple_Choice | phi-2 | sordonia/flan-10k-flat/sciq_Multiple_Choice | lora |
| wiki_hop_original_choose_best_object_interrogative_1 | phi-2 | sordonia/flan-10k-flat/wiki_hop_origina... | {} | zhan1993/private_library_phi2_epoch_0 | null | [
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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"]} | jayjay19630/ppo-Huggy | null | [
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"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
] | null | 2024-04-15T12:12:10+00:00 | [] | [] | TAGS
#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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fill-mask | 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. -->
# Pretraining_Test_v3
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "Pretraining_Test_v3", "results": []}]} | JJ-Tae/Pretraining_Test_v3 | null | [
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"region:us"
] | null | 2024-04-15T12:12:37+00:00 | [] | [] | TAGS
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|
# Pretraining_Test_v3
This model is a fine-tuned version of microsoft/deberta-base 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 hyperparame... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper small hindi - Rikesh Silwal
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/w... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper small hindi - Rikesh Silwal", "results": [{"task": {"type": "automatic-speech-recognition", ... | RikeshSilwal/whisper-small-hi | null | [
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| Whisper small hindi - Rikesh Silwal
===================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4416
* Wer: 32.5235
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "DT12the/Math-Mixtral-7B"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "DT12the/Math-Mixtral-7B"]} | allknowingroger/MultiverseMath-12B-MoE | null | [
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# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* DT12the/Math-Mixtral-7B
## Configuration
## Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "deepseek-ai/deepseek-coder-6.7b-instruct"} | Sloozi/deepseekv2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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text-to-image | diffusers |
# Kippi Ben Kippod [SDXL]
<Gallery />
([CivitAI](https://civitai.com/models/316984))
## Model description
<p>An SDXL LoRA for generating images of <a target="_blank" rel="ugc" href="https://muppet.fandom.com/wiki/Kippi_Ben_Kippod">Kippi Ben Kippod</a></p><p>Use <em>KippiBenKippod</em> in your prompts as a way t... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "character", "hedgehog", "sesame street", "kippi"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image... | Norod78/kippi-ben-kippod-sdxl | null | [
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|
# Kippi Ben Kippod [SDXL]
<Gallery />
(CivitAI)
## Model description
<p>An SDXL LoRA for generating images of <a target="_blank" rel="ugc" href="URL Ben Kippod</a></p><p>Use <em>KippiBenKippod</em> in your prompts as a way to refer to this character</p><p>A version for Stable Diffusion v1.5 is <a rel="ugc" href... | [
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text-to-image | diffusers | # golaniyule
<Gallery />
## Model description
Use any checkpoint based on SD1.5
its 768,768 image
turn on Hires.fix (or not, please experiment with it yourself)
Hires steps: 10-17, denoising:04-65 ish.. just try it yourself
CGE: 4-7
Use ERSGAN 4X+Anime 6B, DPM++ 2M Karras or DPM++ SDE Karras
Use 20-50 samplin... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\... | MarkBW/golaniyule | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # golaniyule
<Gallery />
## Model description
Use any checkpoint based on SD1.5
its 768,768 image
turn on URL (or not, please experiment with it yourself)
Hires steps: 10-17, denoising:04-65 ish.. just try it yourself
CGE: 4-7
Use ERSGAN 4X+Anime 6B, DPM++ 2M Karras or DPM++ SDE Karras
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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. -->
# basic-trainer
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "basic-trainer", "results": []}]} | gurski/basic-trainer | null | [
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| basic-trainer
=============
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0671
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Trainin... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Prahas10/roof_classification
This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.co/google/vit-bas... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch32-384", "model-index": [{"name": "Prahas10/roof_classification", "results": []}]} | Prahas10/roof_classification | null | [
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| Prahas10/roof\_classification
=============================
This model is a fine-tuned version of google/vit-base-patch32-384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0162
* Validation Loss: 0.2163
* Train Accuracy: 0.8916
* Epoch: 24
Model description
------... | [
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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": []} | sok-fm/news_not_news_classifier-v2 | null | [
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null | transformers |
# Uploaded model
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- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Llama-2-13b-chat-hf
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "meta-llama/Llama-2-13b-chat-hf"} | ramixpe/r128_a128_2ep | null | [
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null | null | ToolsBaer Gmail Backup Software is an indispensable tool for both individuals and businesses who rely most on their Gmail accounts for emails and important data backups. With this service, users can securely backup all of their Gmail account's contacts, attachments, and other data. Gmail files and folders can be readil... | {} | madelineoliver/ToolsBaer-Gmail-Backup-tool | null | [
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] | null | 2024-04-15T12:26:26+00:00 | [] | [] | TAGS
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| ToolsBaer Gmail Backup Software is an indispensable tool for both individuals and businesses who rely most on their Gmail accounts for emails and important data backups. With this service, users can securely backup all of their Gmail account's contacts, attachments, and other data. Gmail files and folders can be readil... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# distilbert-ft-ttvsplit
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-ft-ttvsplit", "results": []}]} | thomasavare/distilbert-ft-ttvsplit | null | [
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#transformers #tf #distilbert #text-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert-ft-ttvsplit
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More infor... | [
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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": []} | DeepIQInc/eval_models5cdc18a0-4b5f-48f7-9f70-bd526e226b92 | null | [
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|
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw4.8 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_recommendation_jobs_skills_p2
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5_recommendation_jobs_skills_p2", "results": []}]} | mostafa0841/t5_recommendation_jobs_skills_p2 | null | [
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| t5\_recommendation\_jobs\_skills\_p2
====================================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3964
* Rouge1: 56.9756
* Rouge2: 34.2311
* Rougel: 56.9100
* Rougelsum: 56.8854
* Gen Len: 3.7743
Model d... | [
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translation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# marian-finetuned-kde4-en-to-ru
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsink... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-ru", "model-index": [{"name": "marian-finetuned-kde4-en-to-ru", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Mode... | DonutsHunter/marian-finetuned-kde4-en-to-ru | null | [
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|
# marian-finetuned-kde4-en-to-ru
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3776
- Bleu: 29.2562
## Model description
More information needed
## Intended uses & limitations
More information needed
## T... | [
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sentence-similarity | sentence-transformers |
# dwulff/mxbai-personality
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 become... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | dwulff/mxbai-personality | null | [
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|
# dwulff/mxbai-personality
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:
Th... | [
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text-generation | null |
# CodeQwen1.5-7B-Chat-GGUF
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
* Supporting long con... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat-GGUF/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/CodeQwen1.5-7B-Chat-GGUF | null | [
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|
# CodeQwen1.5-7B-Chat-GGUF
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
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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": []} | avemio-digital/sauerkraut_combinedata_conversationwiki_v2 | null | [
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text-generation | transformers | # UNfilteredAI-1B
**Model Name**: UNfilteredAI-1B
**Model Type**: Text Generation
## About the Model
The UNfilteredAI-1B model is a large-scale text generation model developed by UnfilteredAI. This model is designed to push the boundaries of creativity and innovation in AI-generated content, without the constraints ... | {"language": ["en"], "license": "other", "tags": ["UnfilteredAI"]} | UnfilteredAI/UNfilteredAI-1B | null | [
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| # UNfilteredAI-1B
Model Name: UNfilteredAI-1B
Model Type: Text Generation
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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:
* [Citaman/command-r-37-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-37-layer"]} | Citaman/command-r-36-layer | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-37-layer
### Configuration
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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... | keshav-kumar/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T12:39:56+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# Experiment26Mergerix-7B
Experiment26Mergerix-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: yam-peleg/Experiment26-7B
- model: MiniMoog/Mergerix-7b-v0.3
m... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Experiment26Mergerix-7B | null | [
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"text-generation",
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-15T12:40:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Experiment26Mergerix-7B
Experiment26Mergerix-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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"} | Niggendar/RealHentai_V20 | null | [
"diffusers",
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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.
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summarization | peft |
# Model Card for Model ID
## Model Details
### Model Description
Summarise Korean sentences concisely
- **Developed by:** [Kang Seok Ju]
- **Contact:** [brildev7@gmail.com]
## Training Details
### Training Data
https://huggingface.co/datasets/brildev7/polite_summary_by_gpt4
# Inference Examples
```
import os
import ... | {"language": ["ko"], "library_name": "peft", "tags": ["summarization", "gemma"], "base_model": "google/gemma-7b"} | brildev7/gemma-7b-polite-summarization-ko-sft-qlora | null | [
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#peft #safetensors #summarization #gemma #ko #base_model-google/gemma-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
Summarise Korean sentences concisely
- Developed by: [Kang Seok Ju]
- Contact: [brildev7@URL]
## Training Details
### Training Data
URL
# Inference Examples
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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. -->
# results3
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlnet-base-cased", "model-index": [{"name": "results3", "results": []}]} | dianamihalache27/results3 | null | [
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"license:mit",
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] | null | 2024-04-15T12:45:01+00:00 | [] | [] | TAGS
#transformers #safetensors #xlnet #text-classification #generated_from_trainer #base_model-xlnet-base-cased #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# results3
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5832
- Accuracy: 0.7133
- F1: 0.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
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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).
| {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | expilu/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
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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.
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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. -->
# qa_kor_math
This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gogamza/kobart-base-v2", "model-index": [{"name": "qa_kor_math", "results": []}]} | idah4/qa_kor_math | null | [
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| qa\_kor\_math
=============
This model is a fine-tuned version of gogamza/kobart-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3294
Model description
-----------------
한국어 수학 문제를 입력하면, 문제 유형과 문제 유형에 대한 설명, 풀이(코드), 정답이 출력되도록 fine tuning 했습니다.
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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/stabilityai/StableBeluga2
<!-- provided-files -->
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weighted/imatrix quants of URL
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text-generation | adapter-transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"language": ["en"], "license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["mahekjasani/kkkk"], "pipeline_tag": "text-generation"} | kvrma/kkkkkk | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pandafm/donutES-vf3 | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper-fine-tuned-large-v2-company-earnings-call-v0
This model is a fine-tuned version of [openai/whisper-large-v2](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "Whisper-fine-tuned-large-v2-company-earnings-call-v0", "results": []}]} | MasatoShima1618/Whisper-fine-tuned-large-v2-company-earnings-call-v0 | null | [
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| Whisper-fine-tuned-large-v2-company-earnings-call-v0
====================================================
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0010
* Wer: 0.0
Model description
-----------------
Mo... | [
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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:
* [Citaman/command-r-36-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-36-layer"]} | Citaman/command-r-35-layer | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-36-layer
### Configuration
The following YAML configuration w... | [
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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"} | Niggendar/kakarot25dchichi | null | [
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## Model Details
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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 [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "outputs", "results": []}]} | Star3073/outputs | null | [
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|
# outputs
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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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:
* [mistralai/Mistral-7B-Instruct-v0.2](https:/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "openchat/openchat-3.5-0106"]} | bingbort/mergekit-slerp-vehkdva | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
* openchat/openchat-3.5-0106
### Configuratio... | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with 1.58 bits linear layers **excpted for attention layer**, mixture o... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv3-mixed-precision | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
MoM: Mixture of Mixture
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-rcoqutv | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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null | null |
# Inspire-7B-slerp
Inspire-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | tvkkishore/backup | null | [
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"cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T13:17:58+00:00 | [] | [] | TAGS
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|
# Inspire-7B-slerp
Inspire-7B-slerp is a merge of the following models using mergekit:
* mistralai/Mistral-7B-Instruct-v0.2
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
## Configuration
\ | [
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null | transformers |
# bingbort/mergekit-slerp-vehkdva-Q8_0-GGUF
This model was converted to GGUF format from [`bingbort/mergekit-slerp-vehkdva`](https://huggingface.co/bingbort/mergekit-slerp-vehkdva) 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 ... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "openchat/openchat-3.5-0106"]} | bingbort/mergekit-slerp-vehkdva-Q8_0-GGUF | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-15T13:18:48+00:00 | [] | [] | TAGS
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|
# bingbort/mergekit-slerp-vehkdva-Q8_0-GGUF
This model was converted to GGUF format from 'bingbort/mergekit-slerp-vehkdva' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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feature-extraction | 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. -->
# mlong-t5-tglobal-base
This model is a fine-tuned version of [agemagician/mlong-t5-tglobal-base](https://huggingface.co/agemagici... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "agemagician/mlong-t5-tglobal-base", "model-index": [{"name": "mlong-t5-tglobal-base", "results": []}]} | hesum-anonymous/mT5LongHeSum-base | null | [
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| mlong-t5-tglobal-base
=====================
This model is a fine-tuned version of agemagician/mlong-t5-tglobal-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1553
* Rouge1: 32.0603
* Rouge2: 13.4985
* Rougel: 24.0775
* Rougelsum: 25.9692
* Gen Len: 72.828
Model desc... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [Sao10K... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Sao10K/Fimbulvetr-11B-v2", "TheDrummer/Moistral-11B-v2"]} | Tokerss/mergekit-linear-cnukgdw | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* Sao10K/Fimbulvetr-11B-v2
* TheDrummer/Moistral-11B-v2
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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.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
starchat-alpha - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/H... | {} | RichardErkhov/HuggingFaceH4_-_starchat-alpha-4bits | null | [
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#transformers #safetensors #gpt_bigcode #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
starchat-alpha - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
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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:
* [Citaman/command-r-35-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-35-layer"]} | Citaman/command-r-34-layer | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
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The following models were included in the merge:
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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": []} | dotvignesh/TAVGen-Explain-7b | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # NeverSleep's [Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss](https://huggingface.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss) 2 bit HQQ quant. Now with METAOFFLOAD!
This is another [HQQ Quantization](https://github.com/mobiusml/hqq) of Noromaid Mixtral, the same as [ProphetOfBostrom's earlier work](https://h... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "moe", "mixtral", "hqq", "text-generation-inference", "conversational"], "inference": false} | Chronal/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss_attn-4bit-moe-2bit-metaoffload-HQQ | null | [
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The result is a version of Noromaid ... | [
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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. -->
# falcon-7b-sharded-bf16-finetuned-mental-health-conversational
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "falcon-7b-sharded-bf16-finetuned-mental-health-conversational", "results": []}]} | ssalogin/sdflkjwljfhwkhuhwueidw | null | [
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|
# falcon-7b-sharded-bf16-finetuned-mental-health-conversational
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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text-generation | transformers |
these little one are easy to train for task !!! ::
They already have some training (not great)
But they can take more and more
(and being MISTRAL they can takes lora modules!)
Rememeber to add training on to the lora you merge withit : ie load the lora and train a few cycle on the same data that was applied in the... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron"} | LeroyDyer/Mixtral_AI_MiniTron_Chat | null | [
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these little one are easy to train for task !!! ::
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Abhinay123/wav2vec2_vedas2_epoch_5_step_1399 | 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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- Shared by [optional]:
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feature-extraction | 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. -->
# mlong-t5-tglobal-large
This model is a fine-tuned version of [agemagician/mlong-t5-tglobal-large](https://huggingface.co/agemagi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "agemagician/mlong-t5-tglobal-large", "model-index": [{"name": "mlong-t5-tglobal-large", "results": []}]} | hesum-anonymous/mT5LongHeSum-large | null | [
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #longt5 #feature-extraction #generated_from_trainer #base_model-agemagician/mlong-t5-tglobal-large #license-apache-2.0 #endpoints_compatible #region-us
| mlong-t5-tglobal-large
======================
This model is a fine-tuned version of agemagician/mlong-t5-tglobal-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9297
* Rouge1: 33.2751
* Rouge2: 14.7214
* Rougel: 25.0329
* Rougelsum: 26.9804
* Gen Len: 63.937
Model des... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 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: 30",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
starchat-alpha - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/H... | {} | RichardErkhov/HuggingFaceH4_-_starchat-alpha-8bits | null | [
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#transformers #safetensors #gpt_bigcode #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
starchat-alpha - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: bigcode-openrail-m
datasets:
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
language:
- en
library_name: transformers
... | [
"# Model Card for StarChat Alpha\n\n\n_Note, you may be interested in the Beta version of StarChat here._\n\nStarChat is a series of language models that are fine-tuned from StarCoder to act as helpful coding assistants. StarChat Alpha is the first of these models, and as an alpha release is only intended for educa... | [
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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": []} | OwOOwO/dumbo-krillin5 | 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:
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- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotions-shixm
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotions-shixm", "results": [{"task": {"type": "text-classification", "name": "Text Classi... | sam102400/distilbert-base-uncased-finetuned-emotions-shixm | null | [
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| distilbert-base-uncased-finetuned-emotions-shixm
================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3951
* Accuracy: 0.844
* F1: 0.8429
Model descriptio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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sentence-similarity | sentence-transformers |
# Yunika/muril-base-cased-sentence-transformer
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)
Usi... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["embedding-data/QQP_triplets"], "pipeline_tag": "sentence-similarity"} | Yunika/muril-base-cased-sentence-transformer | null | [
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|
# Yunika/muril-base-cased-sentence-transformer
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-transform... | [
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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/upstage/llama-65b-instruct
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/llama-65b-inst... | {"language": ["en"], "library_name": "transformers", "tags": ["upstage", "llama", "instruct", "instruction"], "base_model": "upstage/llama-65b-instruct", "quantized_by": "mradermacher"} | mradermacher/llama-65b-instruct-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": []} | Scrunch7596/invoices-donut-model-v1 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw5 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
"### Training procedure:\n\n\n* We trained this model for 2 epochs on 160k data samples with SFT.\n* Afterwards we applied DPO for 1 epoch with 110k data.\n* LaserRMT version coming soon\n\n\nWe teached German language skills on this model. As far as we know, it is the first Qwen 32B model with bilingual skills in ... | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #sft #dpo #conversational #de #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="jayjay19630/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional... | {"tags": ["Taxi-v3-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3-4x4-no_slippery", "type": "Taxi-v3-4x4... | jayjay19630/q-FrozenLake-v1-4x4-noSlippery | null | [
"Taxi-v3-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-15T13:39:26+00:00 | [] | [] | TAGS
#Taxi-v3-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers | # 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:
* [Citaman/command-r-34-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-34-layer"]} | Citaman/command-r-33-layer | null | [
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"conversational",
"base_model:Citaman/command-r-34-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T13:41:30+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-34-layer #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:
* Citaman/command-r-34-layer
### Configuration
The following YAML configuration w... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "mlabonne/AlphaMonarch-7B"]} | tvkkishore/Inspire-7B-slerp | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* mlabonne/AlphaMonarch-7B
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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-base-finetuned-amazon-en-es
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-bas... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-base", "model-index": [{"name": "t5-base-finetuned-amazon-en-es", "results": []}]} | JohnDoe70/t5-base-finetuned-amazon-en-es | null | [
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| t5-base-finetuned-amazon-en-es
==============================
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1275
* Rouge1: 90.2312
* Rouge2: 83.2787
* Rougel: 88.0196
* Rougelsum: 87.9916
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 12",
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text-generation | transformers |
# Model Information
VolareQuantized is a compact iteration of the model [Volare](https://huggingface.co/MoxoffSpA/Volare), optimized for efficiency.
It is offered in two distinct configurations: a 4-bit version and an 8-bit version, each designed to maintain the model's effectiveness while significantly reducing its... | {"language": ["it", "en"], "license": "mit", "library_name": "transformers", "tags": ["sft", "it", "gemma", "chatml"]} | MoxoffSpA/VolareQuantized | null | [
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| Model Information
=================
VolareQuantized is a compact iteration of the model Volare, optimized for efficiency.
It is offered in two distinct configurations: a 4-bit version and an 8-bit version, each designed to maintain the model's effectiveness while significantly reducing its size
and computational re... | [] | [
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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... | degra02/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T13:52:29+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
# 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": []} | redmojo7/gemma-2b-it-finetune-palo-alto-network-auto-20 | null | [
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|
# Model Card for Model ID
## Model Details
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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text-generation | transformers |
# Model Information
Volare is an updated version of [Gemma7B](https://huggingface.co/google/gemma-7b), specifically fine-tuned with SFT and LoRA adjustments.
- It's trained on publicly available datasets, like [SQUAD-it](https://huggingface.co/datasets/squad_it), and datasets we've created in-house.
- it's designed ... | {"language": ["it", "en"], "license": "mit", "library_name": "transformers", "tags": ["sft", "it", "gemma", "chatml"]} | MoxoffSpA/Volare | null | [
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| Model Information
=================
Volare is an updated version of Gemma7B, specifically fine-tuned with SFT and LoRA adjustments.
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* it's designed to understand and maintain context, making it ideal for Retrieval Aug... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/sl104 | 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-to-image | diffusers |
# Custom Diffusion - SidXXD/Attn_Maps-mist-mask-0
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For more de... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/Attn_Maps-mist-mask-0 | null | [
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|
# Custom Diffusion - SidXXD/Attn_Maps-mist-mask-0
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow this li... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "stabilityai/stablelm-3b-4e1t"} | AY2324S2-CS4248-Team-47/StableLM-WI_Locness | null | [
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-to-image | diffusers |
# Custom Diffusion - SidXXD/Attn_Maps-mist-mask-1
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For more de... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/Attn_Maps-mist-mask-1 | null | [
"diffusers",
"tensorboard",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"custom-diffusion",
"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-15T13:57:14+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #custom-diffusion #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Custom Diffusion - SidXXD/Attn_Maps-mist-mask-1
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow this li... | [
"# Custom Diffusion - SidXXD/Attn_Maps-mist-mask-1\n\nThese are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following. \n\n\n\n\nFor more details on the training, please follow ... | [
"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #custom-diffusion #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Custom Diffusion - SidXXD/Attn_Maps-mist-m... | [
78,
79
] | [
"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #custom-diffusion #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Custom Diffusion - SidXXD/Attn_Maps-mist-mask-1\... |
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