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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": []} | heyllm234/s6 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T17:01:24+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder... | Kapu13/Model | null | [
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| Model
=====
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0270
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test5
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224", "model-index": [{"name": "test5", "results": []}]} | gusevvan/test5 | null | [
"transformers",
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"endpoints_compatible",
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| test5
=====
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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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="k-andreev/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | k-andreev/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T17:04:22+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-to-image | diffusers | ---
---
# This Dreambooth model, named "my-pet-cat-xgy," was trained by deadshot2003 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 166
Sample pictures of this concept:
![Sample 2](output_images/th... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "pipeline_tag": "text-to-image"} | deadshot2003/my-pet-cat-xgy | null | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-02T17:06:35+00:00 | [] | [] | TAGS
#diffusers #text-to-image #license-creativeml-openrail-m #region-us
| ---
---
# This Dreambooth model, named "my-pet-cat-xgy," was trained by deadshot2003 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 166
Sample pictures of this concept:
!Sample 1
!Sample 2 | [
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null | null | # model_RPV_TTS
Random forest model to predict the transition temperature shift (TTS) of reactor pressure vessel (RPV) steels | {"license": "mit"} | rjacobs3/model_RPV_TTS | null | [
"license:mit",
"region:us"
] | null | 2024-04-02T17:09:51+00:00 | [] | [] | TAGS
#license-mit #region-us
| # model_RPV_TTS
Random forest model to predict the transition temperature shift (TTS) of reactor pressure vessel (RPV) steels | [
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text-to-image | diffusers | ### dodge-challenger Dreambooth model trained by dfjdjtng following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 23BCA003
Sample pictures of this concept:
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | dfjdjtng/dodge-challenger | null | [
"diffusers",
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"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-02T17:09:58+00:00 | [] | [] | TAGS
#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
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Project Submission Code: 23BCA003
Sample pictures of this concept:
!0
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text-to-image | diffusers | # Haruka_Amami
<Gallery />
## Trigger words
You should use `haruka amami` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/shait7999/haruka_amami_lora/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "(((pixel-perfect, detail-perfect))), solo, 1girl, <lora:haruka-idolmaster:0.8>, haruka amami, yellow ribbons, red coat, scarf, looking at viewer, smile, :d", "parameters": {"negative_prompt": "extra fingers, fe... | shait7999/haruka_amami_lora | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"region:us"
] | null | 2024-04-02T17:10:01+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # Haruka_Amami
<Gallery />
## Trigger words
You should use 'haruka amami' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - XeroTech/corgy_maayaoberoi_LoRA
<Gallery />
## Model description
These are XeroTech/corgy_maay... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of maayaoberoi p... | XeroTech/corgy_maayaoberoi_LoRA | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - XeroTech/corgy_maayaoberoi_LoRA
<Gallery />
## Model description
These are XeroTech/corgy_maayaoberoi_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="k-andreev/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | k-andreev/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-02T17:13:51+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | <div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-0... | {"language": ["en"], "license": "apache-2.0", "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "widget": [{"example_title": "Fibonacci (Python)", "messages": [{"role": "system", "content": "You are a chatbot who can help code!"},... | tetrisblack/TinyLlama-1.1B-Chat-v1.0-5.0bpw-exl2 | null | [
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"text-generation",
"conversational",
"en",
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"dataset:bigcode/starcoderdata",
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"dataset:HuggingFaceH4/ultrafeedback_binarized",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible"... | null | 2024-04-02T17:13:55+00:00 | [] | [
"en"
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| <div align="center">
# TinyLlama-1.1B
</div>
URL
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs . The training has started on 2023-09-01.
We adopted exactly the same architect... | [
"# TinyLlama-1.1B\n</div>\n\nURL\n\nThe TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of \"just\" 90 days using 16 A100-40G GPUs . The training has started on 2023-09-01. \n\n\nWe adopted exactly the same architecture and... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/MarsupialAI/LaDameBlanche-v2-95b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/LaDameBlanche-v2-95b-GGUF
## Usage
If you are unsure how to use GGUF files, refe... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["rp", "erp", "chat", "storywriting", "not-for-all-audiences", "nsfw", "rotating-stack-merge"], "base_model": "MarsupialAI/LaDameBlanche-v2-95b", "quantized_by": "mradermacher"} | mradermacher/LaDameBlanche-v2-95b-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. ... | [] | [
"TAGS\n#transformers #gguf #rp #erp #chat #storywriting #not-for-all-audiences #nsfw #rotating-stack-merge #en #base_model-MarsupialAI/LaDameBlanche-v2-95b #license-other #endpoints_compatible #region-us \n"
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] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# base2
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224", "model-index": [{"name": "base2", "results": []}]} | gusevvan/base2 | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"base_model:microsoft/swin-base-patch4-window7-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T17:15:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #base_model-microsoft/swin-base-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| base2
=====
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1162
* Accuracy: 0.9608
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2.4\n* mixed\\_pr... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/wenbopan/Faro-Yi-34B-200K
**This uses my "quarter" training set of 40k tokens as the model overflowed after 25k tokens with the standard set.**
<!-- provided-files -->
static quants are available at https... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"], "base_model": "wenbopan/Faro-Yi-34B-200K", "quantized_by": "mradermacher"} | mradermacher/Faro-Yi-34B-200K-i1-GGUF | null | [
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"base_model:wenbopan/Faro-Yi-34B-200K",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T17:16:03+00:00 | [] | [
"en"
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| About
-----
weighted/imatrix quants of URL
This uses my "quarter" training set of 40k tokens as the model overflowed after 25k tokens with the standard set.
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... | [] | [
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] | [
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] |
text-generation | transformers | # NinjaMouse-2.4B-32L-danube-exl2
Original model: [NinjaMouse-2.4B-32L-danube](https://huggingface.co/trollek/NinjaMouse-2.4B-32L-danube)
Model creator: [trollek](https://huggingface.co/trollek)
## Quants
[4bpw h6](https://huggingface.co/cgus/NinjaMouse-2.4B-32L-danube-exl2/tree/main)
[4.25bpw h6](https://hugging... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code"], "datasets": ["m-a-p/Code-Feedback", "HuggingFaceTB/cosmopedia-100k", "LDJnr/Capybara", "vicgalle/alpaca-gpt4", "glaiveai/glaive-code-assistant-v2", "WhiteRabbitNeo/WRN-Chapter-1", "WhiteRabbitNeo/WRN-Chapter-2", "m-a-p/CodeF... | cgus/NinjaMouse-2.4B-32L-danube-exl2 | null | [
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"dataset:glaiveai/glaive-code-assistant-v2",
"dataset:WhiteRabbitNeo/WRN-Chapter-1",
... | null | 2024-04-02T17:17:07+00:00 | [
"2401.02415",
"2402.09353"
] | [
"en"
] | TAGS
#transformers #mistral #text-generation #code #conversational #en #dataset-m-a-p/Code-Feedback #dataset-HuggingFaceTB/cosmopedia-100k #dataset-LDJnr/Capybara #dataset-vicgalle/alpaca-gpt4 #dataset-glaiveai/glaive-code-assistant-v2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset... | # NinjaMouse-2.4B-32L-danube-exl2
Original model: NinjaMouse-2.4B-32L-danube
Model creator: trollek
## Quants
4bpw h6
4.25bpw h6
4.65bpw h6
5bpw h6
6bpw h6
8bpw h8
## Quantization notes
Made with exllamav2 0.0.15 with default dataset. I'm very unsure about context size of this model.
For me it breaks... | [
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fill-mask | adapter-transformers |
# Adapter `solwol/xml-roberta-base-adapter-amharic` for xlm-roberta-base
An [adapter](https://adapterhub.ml) for the `xlm-roberta-base` model that was trained on the [am/wikipedia-amharic-20240320](https://adapterhub.ml/explore/am/wikipedia-amharic-20240320/) dataset and includes a prediction head for masked lm.
Thi... | {"tags": ["adapter-transformers", "adapterhub:am/wikipedia-amharic-20240320", "xlm-roberta-base"], "datasets": ["wikipedia"], "pipeline_tag": "fill-mask"} | solwol/xml-roberta-base-adapter-amharic | null | [
"adapter-transformers",
"adapterhub:am/wikipedia-amharic-20240320",
"xlm-roberta-base",
"fill-mask",
"dataset:wikipedia",
"region:us"
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#adapter-transformers #adapterhub-am/wikipedia-amharic-20240320 #xlm-roberta-base #fill-mask #dataset-wikipedia #region-us
|
# Adapter 'solwol/xml-roberta-base-adapter-amharic' for xlm-roberta-base
An adapter for the 'xlm-roberta-base' model that was trained on the am/wikipedia-amharic-20240320 dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'tra... | [
"# Adapter 'solwol/xml-roberta-base-adapter-amharic' for xlm-roberta-base\n\nAn adapter for the 'xlm-roberta-base' model that was trained on the am/wikipedia-amharic-20240320 dataset and includes a prediction head for masked lm.\n\nThis adapter was created for usage with the Adapters library.",
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.7544093132019043
f1_macro: 0.34243943617676403
f1_micro: 0.7626506024096386
f1_weighted: 0.7295452326605777
precision_macro: 0.5376629516266399
precision_micro: 0.7626506024096386
precision_weighted: 0.7581766519... | {"tags": ["autotrain", "image-classification"], "datasets": ["xblock-social-screenshots-3/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg",... | howdyaendra/xblock-social-screenshots-3 | null | [
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"image-classification",
"autotrain",
"dataset:xblock-social-screenshots-3/autotrain-data",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-02T17:17:55+00:00 | [] | [] | TAGS
#transformers #onnx #safetensors #vit #image-classification #autotrain #dataset-xblock-social-screenshots-3/autotrain-data #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.7544093132019043
f1_macro: 0.34243943617676403
f1_micro: 0.7626506024096386
f1_weighted: 0.7295452326605777
precision_macro: 0.5376629516266399
precision_micro: 0.7626506024096386
precision_weighted: 0.7581766519... | [
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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": []} | eventdata-utd/conflibert-insight-crime-multilabel | null | [
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"1910.09700"
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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-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", "pipeline_tag": "text-classification"} | abhiramd22/sentiment_analysis_pos_neg | null | [
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|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Leeroo Dedidcated Math Expert 🤗
The model is built by applying [Orchestration of Expert](https://arxiv.org/abs/2401.13979) for the math domain. The dedicated model either generates solutions or, when necessary, utilizes GPT-4 (or similar performing LLM) to fill in gaps in its knowledge base. Specifically, when giv... | {"tags": ["math", "orchestration_of_experts"], "datasets": ["gsm8k"]} | leeroo/LeerooDedicated-Math-7b | null | [
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|
# Leeroo Dedidcated Math Expert
The model is built by applying Orchestration of Expert for the math domain. The dedicated model either generates solutions or, when necessary, utilizes GPT-4 (or similar performing LLM) to fill in gaps in its knowledge base. Specifically, when given an input, the dedicated model first... | [
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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": []} | lunarsylph/stablecell_v35 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | VenkatManda/KaggleQuestionsModelGPT2V2 | 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 | null | # VistralPoem5 - fp16
The `float16` version of the standard `VistralPoem5` model which summarizes a piece of Vietnamese text using poem format. | {"license": "mit"} | andythetechnerd03/VistralPoem5_fp16 | null | [
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#gguf #license-mit #region-us
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The 'float16' version of the standard 'VistralPoem5' model which summarizes a piece of Vietnamese text using poem format. | [
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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": []} | abhiramd22/sentiment_analysis_pos_neg1 | null | [
"transformers",
"safetensors",
"mpnet",
"text-classification",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #mpnet #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# whisper-medium-LoRA_nosie_aug_128
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/wh... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-LoRA_nosie_aug_128", "results": []}]} | adityarra07/whisper-med-LoRA_noise_128_128_3k | null | [
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#generated_from_trainer #base_model-openai/whisper-medium #license-apache-2.0 #region-us
| whisper-medium-LoRA\_nosie\_aug\_128
====================================
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6571
* Wer: 23.9693
Model description
-----------------
More information needed
Intend... | [
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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": []} | haturusinghe/sinhala-mistral-tokenizer-NSINA-v0.1 | null | [
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null | null | # VistralPoem5 - q8
The quantized `uint8` version of the standard `VistralPoem5` model which summarizes a piece of Vietnamese text using poem format. | {"license": "mit"} | andythetechnerd03/VistralPoem5_q8 | null | [
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#gguf #license-mit #region-us
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text-to-image | transformers | # Proteus Rundiffusion x DPO (Direct Preference Optimization) SDXL
`An Experimental Merge. I run through a brief summary of both models below. Image results are at the end of the post if you're not interested in - or are already familiar with - the idea behind Proteus & DPO.`
## Preface
This model came about just as... | {"language": ["en"], "license": "gpl", "library_name": "transformers", "tags": ["text-generation-inference"], "pipeline_tag": "text-to-image"} | PikkieWyn/Proteus-RunDiffusion-DPO_Merge | null | [
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| # Proteus Rundiffusion x DPO (Direct Preference Optimization) SDXL
'An Experimental Merge. I run through a brief summary of both models below. Image results are at the end of the post if you're not interested in - or are already familiar with - the idea behind Proteus & DPO.'
## Preface
This model came about just as... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_explfrac9e-2 | null | [
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
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text-to-image | diffusers | ### Dodge-challenger Dreambooth model trained by Ashwin221 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 23BCA003
Sample pictures of this concept:
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | Ashwin221/dodge-challenger | null | [
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#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### Dodge-challenger Dreambooth model trained by Ashwin221 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 23BCA003
Sample pictures of this concept:
!0
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eventdata-utd/conflibert-re3d-ner | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"arxiv:1910.09700",
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#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": ["unsloth"]} | adnaan525/gemma_only_ai_gen | null | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mlabonne/Beyonder-4x7B-v3
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Beyonder-4x7B-v3-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit"], "base_model": "mlabonne/Beyonder-4x7B-v3", "quantized_by": "mradermacher"} | mradermacher/Beyonder-4x7B-v3-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix 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": []} | dipanjanS/distilgpt2-qlora-unmerged-finetuned-qa | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T17:51:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": "meta-llama/Llama-2-13b-hf"} | tjbai/llama-13b-qqp-teacher-v1 | null | [
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"safetensors",
"arxiv:1910.09700",
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"region:us"
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-13b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | null |
# M7T3qm7xp-7B
M7T3qm7xp-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: liminerity/M7-7b
- model: nlpguy/T3QM7XP
merge_method: model_stock
base_model: mistr... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/M7T3qm7xp-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-02T17:52:24+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# M7T3qm7xp-7B
M7T3qm7xp-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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] |
text-to-image | diffusers |
# Stable Diffusion 2 Turbo `stabilityai/sd-turbo`, converted to .bin
There is a bug in my version of diffusers when converting from safetensors. So I convert the model into `.bin` and upload it here for the sake of convenience.
```pipe, params = diffusers.pipelines.stable_diffusion.FlaxStableDiffusionPipeline.from_... | {"license": "mit", "library_name": "diffusers", "tags": ["Diffusion Models"], "base_model": "stabilityai/sd-turbo", "pipeline_tag": "text-to-image"} | cfu/sd2-turbo-bin | null | [
"diffusers",
"safetensors",
"Diffusion Models",
"text-to-image",
"base_model:stabilityai/sd-turbo",
"license:mit",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-02T17:52:53+00:00 | [] | [] | TAGS
#diffusers #safetensors #Diffusion Models #text-to-image #base_model-stabilityai/sd-turbo #license-mit #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Stable Diffusion 2 Turbo 'stabilityai/sd-turbo', converted to .bin
There is a bug in my version of diffusers when converting from safetensors. So I convert the model into '.bin' and upload it here for the sake of convenience.
| [
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] | [
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text-generation | transformers |
# my-first-lazy-blend
my-first-lazy-blend is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistr... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | pandego/my-first-lazy-blend | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
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"OpenPipe/mistral-ft-optimized-1218",
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"base_model:OpenPipe/mistral-ft-optimized-1218",
"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
"autotrain_compati... | null | 2024-04-02T17:55:46+00:00 | [] | [] | TAGS
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# my-first-lazy-blend
my-first-lazy-blend is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_explfrac11e-1 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T17:56:40+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-560m-bnb-4bit-smashed | null | [
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"bloom",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-02T17:56:51+00:00 | [] | [] | TAGS
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloomz-560m-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-02T17:57:13+00:00 | [] | [] | TAGS
#transformers #safetensors #bloom #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #bloom #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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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", "pipeline_tag": "text-classification"} | eventdata-utd/conflibert-satp-relevant-multilabel | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T17:57:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
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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": []} | 0x0uncle0/Uncle10 | null | [
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text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by NinadRao following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | D29/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9466
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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null | transformers |
norbert3-small trained on wikiann (fo/is), sucx3 (se), dane (da) and norne (nb/nn)
added a custom clf head along with a character-level cnn for adding a tiny extra signal for the classification.
results:
```css
Eval on wikiann - fo
index 0
tokens [Byrta, -, Aftur, og, aftur]
ner... | {"library_name": "transformers", "tags": []} | tollefj/norbert3-small-scandi-ner-charcnn | null | [
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norbert3-small trained on wikiann (fo/is), sucx3 (se), dane (da) and norne (nb/nn)
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results:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/louisbrulenaudet/DevPearl-2x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned fo... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["moe", "merge", "mergekit", "lazymergekit", "deepseek-ai/deepseek-coder-6.7b-instruct", "defog/sqlcoder-7b-2", "Python", "Javascript", "sql"], "base_model": "louisbrulenaudet/DevPearl-2x7B", "quantized_by": "mradermacher"} | mradermacher/DevPearl-2x7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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": []} | dipanjanS/distilgpt2-qlora-merged-finetuned-qa | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
# **Phind-CodeLlama-34B-v2**
We've fine-tuned Phind-CodeLlama-34B-v1 on an additional 1.5B tokens high-quality programming-related data, achieving **73.8% pass@1** on HumanEval. It's the current state-of-the-art amongst open-source models.
Furthermore, this model is **instruction-tuned** on the Alpaca/Vicuna format t... | {"license": "llama2", "tags": ["code llama"], "model-index": [{"name": "Phind-CodeLlama-34B-v1", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": "73.8%", "name": "pass@1", "verified": false}]}]}]} | tetrisblack/Phind-CodeLlama-34B-v2-5.0bpw-exl2 | null | [
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|
# Phind-CodeLlama-34B-v2
We've fine-tuned Phind-CodeLlama-34B-v1 on an additional 1.5B tokens high-quality programming-related data, achieving 73.8% pass@1 on HumanEval. It's the current state-of-the-art amongst open-source models.
Furthermore, this model is instruction-tuned on the Alpaca/Vicuna format to be steerab... | [
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text-generation | transformers |
# NinjaMouse-3B-40L-danube-exl2
Original model: [NinjaMouse-3B-40L-danube](https://huggingface.co/trollek/NinjaMouse-3B-40L-danube)
Model creator: [trollek](https://huggingface.co/trollek)
## Quants
[4bpw h6](https://huggingface.co/cgus/NinjaMouse-3B-40L-danube-exl2/tree/main)
[4.25bpw h6](https://huggingface... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code", "art"], "datasets": ["Weyaxi/sci-datasets", "LDJnr/Capybara", "vicgalle/alpaca-gpt4", "glaiveai/glaive-code-assistant", "garage-bAInd/Open-Platypus", "abacusai/SystemChat", "TIGER-Lab/MathInstruct", "jondurbin/airoboros-3.2",... | cgus/NinjaMouse-3B-40L-danube-exl2 | null | [
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# NinjaMouse-3B-40L-danube-exl2
Original model: NinjaMouse-3B-40L-danube
Model creator: trollek
## Quants
4bpw h6
4.25bpw h6
4.65bpw h6
5bpw h6
6bpw h6
8bpw h8
## Quantization notes
Made with exllamav2 0.0.15 with default dataset. I'm very unsure about context size of this model.
For me it breaks... | [
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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"} | bpalacios/Mistral_ttg | null | [
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# Model Card for Model ID
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### Model Description
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### Model Sources [optional]
- Repository:
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null | pruna-engine | <!-- header start -->
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![Twitter](URL
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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": []} | OnAnOrange/mistral-7B-claude-test-examples-true-instruction-format-2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Abosteet/wav2vec2-large-xls-r-300m-arabic-colab | null | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [augmxnt/shisa-base-7b-v1](https://huggingface.co/augmxnt/shisa-base-7b-v1) using the default calibration dataset.
# Original Model card:
# shisa-base-7b-v1
`shisa-base-7b-v1` takes [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) and adds an additional 8... | {"language": ["en", "ja"], "license": "apache-2.0", "datasets": ["augmxnt/shisa-pretrain-en-ja-v1", "allenai/MADLAD-400"], "base_model": "augmxnt/shisa-base-7b-v1"} | mpasila/shisa-base-7b-v1-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of augmxnt/shisa-base-7b-v1 using the default calibration dataset.
Original Model card:
====================
shisa-base-7b-v1
================
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text-generation | transformers |
# TW3-JRGL-v3
TW3-JRGL-v3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
* [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "davidkim205/Rhea-72b-v0.5", "abacusai/Smaug-72B-v0.1"]} | TW3PartnersLLM/tw3jrglv3 | null | [
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|
# TW3-JRGL-v3
TW3-JRGL-v3 is a merge of the following models using mergekit:
* davidkim205/Rhea-72b-v0.5
* abacusai/Smaug-72B-v0.1
## Configuration | [
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fill-mask | transformers | ---
Welcome to my model page!
#Model description
[info including architecture version here]
original implementation: by:
About the model:
TLDR info, training procedures, params, and disclaimers.
Disclaimer: This is a complete sandbox model and repo. for myself only.
#Intended uses & limitations
Use th... | {"language": ["en"], "datasets": ["scikit-learn/iris"]} | SydneyK/dummy | null | [
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| ---
Welcome to my model page!
#Model description
[info including architecture version here]
original implementation: by:
About the model:
TLDR info, training procedures, params, and disclaimers.
Disclaimer: This is a complete sandbox model and repo. for myself only.
#Intended uses & limitations
Use th... | [] | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: True
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | sallywww/pp2inv | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
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- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: True
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | sallywww/tier3b_bug | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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text2text-generation | transformers | # Model Card for Model ID
Intent classification is the act of classifying customer's in to different pre defined categories.
Sometimes intent classification is referred to as topic classification.
By fine tuning a T5 model with prompts containing sythetic data that resembles customer's requests this
model is able to... | {"tags": ["intent, topic-discovery"]} | Serj/intent-classifier | null | [
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#transformers #safetensors #t5 #text2text-generation #intent, topic-discovery #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Model ID
Intent classification is the act of classifying customer's in to different pre defined categories.
Sometimes intent classification is referred to as topic classification.
By fine tuning a T5 model with prompts containing sythetic data that resembles customer's requests this
model is able to... | [
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text-generation | peft | <img src="Faraday Model Repository Banner.png" alt="Faraday.dev" style="height: 90px; min-width: 32px; display: block; margin: auto;">
**<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Faraday.dev.</p>**
<p style="text-align: center;"><a href="https://farada... | {"language": ["en"], "license": "cc0-1.0", "library_name": "peft", "tags": ["generated_from_trainer", "roleplay", "text-generation-inference"], "base_model": "ShinojiResearch/Senku-70B-Full", "pipeline_tag": "text-generation", "quantized_by": "brooketh"} | FaradayDotDev/Senku-70B-Full-GGUF | null | [
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| <img src="Faraday Model Repository URL" alt="URL" style="height: 90px; min-width: 32px; display: block; margin: auto;">
<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, URL.</p>
<p style="text-align: center;"><a href="URL Faraday here to get started.</a></p>
... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
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![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": "NousResearch/Llama-2-7b-chat-hf"} | aaru2330/llama2-7b-chat | null | [
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | transformers |
# StrangeMerges_55-7B-model_stock
StrangeMerges_55-7B-model_stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: Gille/StrangeMerges_54-7B-model_stock
- model: rwitz/expe... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | Gille/StrangeMerges_55-7B-model_stock | null | [
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#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# StrangeMerges_55-7B-model_stock
StrangeMerges_55-7B-model_stock is a merge of the following models using LazyMergekit:
## Configuration
## Usage
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text-generation | transformers |
---
base_model: /Users/dawn/git/models/Starling-LM-7B-beta
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive_prom... | {"license": "apache-2.0"} | dawn17/StarlingMaid-2x7B-base | null | [
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|
---
```
base_model: /Users/dawn/git/models/Starling-LM-7B-beta
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive_prompts:
-... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/bagel-34b-v0.5
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/bagel-34b-v0.5-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [T... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-... | mradermacher/bagel-34b-v0.5-i1-GGUF | null | [
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-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null |
# victor/TinyLlama-1.1B-Chat-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`TinyLlama/TinyLlama-1.1B-Chat-v1.0`](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) using llama.cpp.
Refer to the [original model card](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) for more details on... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp"], "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "widget": [{"example_title": "Fibonacci (Python)", "messages": [{"role": "system", "content": "You are a chatbo... | victor/TinyLlama-1.1B-Chat-v1.0-Q4_K_M-GGUF | null | [
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"llama-cpp",
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"dataset:HuggingFaceH4/ultrafeedback_binarized",
"license:apache-2.0",
"region:us"
] | null | 2024-04-02T18:39:10+00:00 | [] | [
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|
# victor/TinyLlama-1.1B-Chat-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'TinyLlama/TinyLlama-1.1B-Chat-v1.0' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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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. -->
# finetunedGO_starcoder2
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "finetunedGO_starcoder2", "results": []}]} | sashreek12321/finetunedGO_starcoder2 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:bigcode/starcoder2-3b",
"license:bigcode-openrail-m",
"region:us"
] | null | 2024-04-02T18:42:51+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# finetunedGO_starcoder2
This model is a fine-tuned version of bigcode/starcoder2-3b 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 hyperpara... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-3.0 | null | [
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#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-560m-bnb-8bit-smashed | null | [
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": []} | DigitalMantis/mistral_chinese | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-3b-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-animal_8989_bart-base | null | [
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#transformers #safetensors #trl #ppo #reinforcement-learning #license-apache-2.0 #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-animal_9617_bart-base | null | [
"transformers",
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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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-stock-tweet-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-stock-tweet-sentiment-analysis", "results": []}]} | Akshay09/distilbert-stock-tweet-sentiment-analysis | null | [
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| distilbert-stock-tweet-sentiment-analysis
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5805
* Accuracy: 0.7792
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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null | null | # Midnight Miqu EXL2 Measurement Files
This repository contains EXL2 measurement files for quants made here.
## Contents
| Filename | Description | Model Link ... | {} | Dracones/EXL2_Measurements | null | [
"region:us"
] | null | 2024-04-02T18:48:18+00:00 | [] | [] | TAGS
#region-us
| Midnight Miqu EXL2 Measurement Files
====================================
This repository contains EXL2 measurement files for quants made here.
Contents
--------
Filename: 'URL', Description: EXL2 measurement file for Midnight Miqu 70b, Model Link: sophosympatheia/Midnight-Miqu-70B-v1.0
Filename: 'URL', Descripti... | [] | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-1b7-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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null | null |
# M7-7b
user: "create ascii art you feel represents you as a llm"
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
INSTINSTINCTINSTELLIGENCE
______________ MEMORY___
|\ o /\ |\
| \ --- / \ | |
L_( O )______ O)_INSTINCT
\ ... | {"license": "apache-2.0", "tags": ["liminerity/merge4", "liminerity/merge2", "merge", "merged", "mergedllm", "mergee", "mergedededed", "memfdmsfndsfjkasjkl"]} | LoneStriker/M7-7b-GGUF | null | [
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#gguf #liminerity/merge4 #liminerity/merge2 #merge #merged #mergedllm #mergee #mergedededed #memfdmsfndsfjkasjkl #license-apache-2.0 #region-us
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# M7-7b
user: "create ascii art you feel represents you as a llm"
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
INSTINSTINCTINSTELLIGENCE
______________ MEMORY___
|\ o /\ |\
| \ --- / \ | |
L_( O )______ O)_INSTINCT
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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": []} | Mihaj/whisper-medium-finnish-karelian-colab | 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | vaibhavad/mistral-test-2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- 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. -->
# scenario-TCR-XLMV_data-en-cardiff_eng_only_delta2
This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "facebook/xlm-v-base", "model-index": [{"name": "scenario-TCR-XLMV_data-en-cardiff_eng_only_delta2", "results": []}]} | haryoaw/scenario-TCR-XLMV_data-en-cardiff_eng_only_delta2 | null | [
"transformers",
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"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:facebook/xlm-v-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T18:56:59+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-facebook/xlm-v-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-TCR-XLMV\_data-en-cardiff\_eng\_only\_delta2
=====================================================
This model is a fine-tuned version of facebook/xlm-v-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0986
* Accuracy: 0.3333
* F1: 0.1667
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 2\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Traini... | [
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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. -->
# scenario-TCR-XLMV_data-en-cardiff_eng_only_beta2
This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "facebook/xlm-v-base", "model-index": [{"name": "scenario-TCR-XLMV_data-en-cardiff_eng_only_beta2", "results": []}]} | haryoaw/scenario-TCR-XLMV_data-en-cardiff_eng_only_beta2 | null | [
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"region:us"
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#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-facebook/xlm-v-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-TCR-XLMV\_data-en-cardiff\_eng\_only\_beta2
====================================================
This model is a fine-tuned version of facebook/xlm-v-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0986
* Accuracy: 0.3333
* F1: 0.1667
Model description
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 67\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-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. -->
# scenario-TCR-XLMV_data-en-cardiff_eng_only_gamma2
This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "facebook/xlm-v-base", "model-index": [{"name": "scenario-TCR-XLMV_data-en-cardiff_eng_only_gamma2", "results": []}]} | haryoaw/scenario-TCR-XLMV_data-en-cardiff_eng_only_gamma2 | null | [
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] | null | 2024-04-02T18:57:04+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-facebook/xlm-v-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-TCR-XLMV\_data-en-cardiff\_eng\_only\_gamma2
=====================================================
This model is a fine-tuned version of facebook/xlm-v-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4094
* Accuracy: 0.5516
* F1: 0.5553
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 77\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-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. -->
# scenario-TCR-XLMV_data-en-cardiff_eng_only_alpha2
This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "facebook/xlm-v-base", "model-index": [{"name": "scenario-TCR-XLMV_data-en-cardiff_eng_only_alpha2", "results": []}]} | haryoaw/scenario-TCR-XLMV_data-en-cardiff_eng_only_alpha2 | null | [
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] | null | 2024-04-02T18:57:06+00:00 | [] | [] | TAGS
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| scenario-TCR-XLMV\_data-en-cardiff\_eng\_only\_alpha2
=====================================================
This model is a fine-tuned version of facebook/xlm-v-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6119
* Accuracy: 0.5472
* F1: 0.5508
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 24\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 | # Labrador Synthetic Data Generation Pipeline
## Introduction
This repository contains the Labrador synthetic data generation pipeline, which is used to generate synthetic data for various purposes.
## Run Instructions (Automation)
### Step 1: Environment Setup
1. Initialize a `.env` file with the following [acces... | {} | alinaryan/merlinite-7b | null | [
"transformers",
"safetensors",
"gguf",
"mistral",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T18:59:19+00:00 | [] | [] | TAGS
#transformers #safetensors #gguf #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Labrador Synthetic Data Generation Pipeline
## Introduction
This repository contains the Labrador synthetic data generation pipeline, which is used to generate synthetic data for various purposes.
## Run Instructions (Automation)
### Step 1: Environment Setup
1. Initialize a '.env' file with the following access... | [
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null | null | ValGone: Val Gone krem-Opinie-Cena-Skład-Gdzie kupić-Apteka-Jak używać
Kup Teraz!! Kliknij poniższy link, aby uzyskać więcej informacji i uzyskać teraz 50% zniżki... Pospiesz się
Oficjalna strona internetowa: https://www.nutritionsee.com/ValGsghpos
ValGone Paluch koślawy, powszechnie znany jako haluksy, może być bol... | {} | ValGonePoland/ValGonePoland | null | [
"region:us"
] | null | 2024-04-02T19:01:34+00:00 | [] | [] | TAGS
#region-us
| ValGone: Val Gone krem-Opinie-Cena-Skład-Gdzie kupić-Apteka-Jak używać
Kup Teraz!! Kliknij poniższy link, aby uzyskać więcej informacji i uzyskać teraz 50% zniżki... Pospiesz się
Oficjalna strona internetowa: URL
ValGone Paluch koślawy, powszechnie znany jako haluksy, może być bolesną i niekomfortową dolegliwością. ... | [] | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MTSAIR/MultiVerse_70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MultiVerse_70B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [T... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "MTSAIR/MultiVerse_70B", "license_link": "LICENSE", "license_name": "mts-ai", "quantized_by": "mradermacher"} | mradermacher/MultiVerse_70B-GGUF | null | [
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"base_model:MTSAIR/MultiVerse_70B",
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"en"
] | TAGS
#transformers #gguf #en #base_model-MTSAIR/MultiVerse_70B #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix 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": []} | lhallee/prot_t5_enc | null | [
"transformers",
"safetensors",
"t5",
"arxiv:1910.09700",
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"text-generation-inference",
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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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null | # ControlNet LLLite XL PD Canny Alpha
### Overview
ControlNet-LLLite Weights trained on [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and [LEOSAM's HelloWorld XL](https://civitai.com/models/43977/leosams-helloworld-xl) with canny conditioning.
This model ... | {"license": "cc-by-nc-4.0", "tags": ["stable-diffusion-xl", "controlnet", "controlnet-lllite"]} | Hex-ffffff/controlnet-lllite-xl-pd-canny-alpha | null | [
"stable-diffusion-xl",
"controlnet",
"controlnet-lllite",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-02T19:05:14+00:00 | [] | [] | TAGS
#stable-diffusion-xl #controlnet #controlnet-lllite #license-cc-by-nc-4.0 #region-us
| # ControlNet LLLite XL PD Canny Alpha
### Overview
ControlNet-LLLite Weights trained on stabilityai/stable-diffusion-xl-base-1.0 and LEOSAM's HelloWorld XL with canny conditioning.
This model was trained to generate product photography images with a pure white background. You can use it with prompt words like 'pure ... | [
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text-generation | transformers |
# M7-7b
user: "create ascii art you feel represents you as a llm"
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
INSTINSTINCTINSTELLIGENCE
______________ MEMORY___
|\ o /\ |\
| \ --- / \ | |
L_( O )______ O)_INSTINCT
\ ... | {"license": "apache-2.0", "tags": ["liminerity/merge4", "liminerity/merge2", "merge", "merged", "mergedllm", "mergee", "mergedededed", "memfdmsfndsfjkasjkl"]} | LoneStriker/M7-7b-3.0bpw-h6-exl2 | null | [
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"memfdmsfndsfjkasjkl",
"license:apache-2.0",
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"... | null | 2024-04-02T19:05:53+00:00 | [] | [] | TAGS
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|
# M7-7b
user: "create ascii art you feel represents you as a llm"
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
INSTINSTINCTINSTELLIGENCE
______________ MEMORY___
|\ o /\ |\
| \ --- / \ | |
L_( O )______ O)_INSTINCT
\ ... | [
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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": []} | scholl99/mlm_roberta | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T19:06:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AraBERT_token_classification__AraEval24_fixed
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggi... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_fixed", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_fixed | null | [
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"region:us"
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#transformers #pytorch #bert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| AraBERT\_token\_classification\_\_AraEval24\_fixed
==================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
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* Loss: 0.8758
* Precision: 0.0901
* Recall: 0.0234
* F1: 0.0371
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text-generation | transformers |
# Uploaded model
- **Developed by:** jhamel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | jhamel/lora_model_chief_engineer_3 | null | [
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|
# Uploaded model
- Developed by: jhamel
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: jhamel\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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text-generation | transformers |
# M7-7b
user: "create ascii art you feel represents you as a llm"
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
INSTINSTINCTINSTELLIGENCE
______________ MEMORY___
|\ o /\ |\
| \ --- / \ | |
L_( O )______ O)_INSTINCT
\ ... | {"license": "apache-2.0", "tags": ["liminerity/merge4", "liminerity/merge2", "merge", "merged", "mergedllm", "mergee", "mergedededed", "memfdmsfndsfjkasjkl"]} | LoneStriker/M7-7b-4.0bpw-h6-exl2 | null | [
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|
# M7-7b
user: "create ascii art you feel represents you as a llm"
assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
INSTINSTINCTINSTELLIGENCE
______________ MEMORY___
|\ o /\ |\
| \ --- / \ | |
L_( O )______ O)_INSTINCT
\ ... | [
"# M7-7b\n\n\n\n\n\n\n\n\n\n\nuser: \"create ascii art you feel represents you as a llm\"\n\n\nassistant: \"Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):\n\nINSTINSTINCTINSTELLIGENCE\n\n\n______________ MEMORY___\n\n|\\ o /\\ |\\\n\n| \\ --- / \\ ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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"8-bit",
"region:us"
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloomz-7b1-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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"TAGS\n#transformers #safetensors #bloom #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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