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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results01
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on the N... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "results01", "results": []}]} | KaKashii/results01 | null | [
"pytorch",
"generated_from_trainer",
"license:apache-2.0",
"region:us"
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#pytorch #generated_from_trainer #license-apache-2.0 #region-us
|
# results01
This model is a fine-tuned version of EleutherAI/pythia-410m on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | dogukanbas/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1626
* Accuracy: 0.6212
Model description
------... | [
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null | null | Number of experts present in the library: 10
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| phi2_joint_3epoch_sim_cluster_10 | phi-2 | sordonia/flan-10k-flat/dream_read_the_following_conversation_and_answer_the_question,app_reviews_convert_to_star_rating,cos_e_v1_11_question_optio... | {} | zhan1993/library-phi_2-v3-10-flan-clusters | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | EdBerg/001Llama3_b_finance_finetuned_test | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## NumFaLM 3B
NumFaLM 3B is a bilingual language model trained in Thai and English. The architecture model is Llama model that pretraining from scratch. It was built to open source AI and research for bilingual language models and improve small language models. We released the training script and train datasets so you... | {"language": ["en", "th"], "license": "apache-2.0", "datasets": ["wannaphong/mark13"], "pipeline_tag": "text-generation"} | wannaphong/numfalm-3b | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# names-whisper-en
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "names-whisper-en", "results": []}]} | seifooo/names-whisper-en | null | [
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| names-whisper-en
================
This model is a fine-tuned version of openai/whisper-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1224
* Wer: 2.5974
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)
Authors
: Google
... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click b... | google/codegemma-1.1-2b | null | [
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| CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
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-----------------
Summary description and brief definition of inputs and outputs.
### Description
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text-generation | transformers |
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)
Authors
: Google
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Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | hui168/dqn-SpaceInvadersNoFrameskip-colab | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
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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. -->
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "model-index": [{"name": "vit-base-patch16-224-finetuned-flower", "results": []}]} | Vraj971/vit-base-patch16-224-finetuned-flower | null | [
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|
# vit-base-patch16-224-finetuned-flower
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
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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": []} | abc88767/model24 | null | [
"transformers",
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Model Card for Model ID
Fine-Tuned version of Phi-3-mini
## Model Details
### Model Description
QLORA-Fine Tuned version of Phi-3-mini-128k-instruct on the Alpaca dataset
- **Developed by:** Microsoft, Fine-Tuning done by Yours Truly
### Model Sources [optional]
<!-- Provide the basic links for the model.... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["yahma/alpaca-cleaned"], "pipeline_tag": "text-generation"} | MadElf1337/phi-3-mini-alpaca | null | [
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# Model Card for Model ID
Fine-Tuned version of Phi-3-mini
## Model Details
### Model Description
QLORA-Fine Tuned version of Phi-3-mini-128k-instruct on the Alpaca dataset
- Developed by: Microsoft, Fine-Tuning done by Yours Truly
### Model Sources [optional]
- Repository: URL
- Paper : URL
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null | null |
# DETAILS
- Trained with 40 hours of raw data I can add more data in the future
(Ariana grande, Dua lipa , Charlie Puth, Joji, Freddie Mercury, Michael Jackson)
- Fine Tuned with ov2 pretrain
- 32k still training 5 EPOCHS
- 40k maybe I'll train it
- 48k MAYBE I'll train it
| {"license": "openrail"} | Sztef/SingerPreTrained | null | [
"license:openrail",
"region:us"
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#license-openrail #region-us
|
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- Trained with 40 hours of raw data I can add more data in the future
(Ariana grande, Dua lipa , Charlie Puth, Joji, Freddie Mercury, Michael Jackson)
- Fine Tuned with ov2 pretrain
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- 40k maybe I'll train it
- 48k MAYBE I'll train it
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text-to-image | diffusers |
# Perfect World 完美世界 v6 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "perfect-world... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/perfect-world-v6 | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Perfect World 完美世界 v6 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "perfect-world-v6"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Mod... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | erbacher/TinyStories-10k-tokenizer | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers |
# jayrodge/Llama3-3-8B-Instruct-ft-loraAdap-Q4_K_M-GGUF
This model was converted to GGUF format from [`patelmiteshn/Llama3-3-8B-Instruct-ft-loraAdap`](https://huggingface.co/patelmiteshn/Llama3-3-8B-Instruct-ft-loraAdap) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-re... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | jayrodge/Llama3-3-8B-Instruct-ft-loraAdap-Q4_K_M-GGUF | null | [
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#transformers #gguf #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# jayrodge/Llama3-3-8B-Instruct-ft-loraAdap-Q4_K_M-GGUF
This model was converted to GGUF format from 'patelmiteshn/Llama3-3-8B-Instruct-ft-loraAdap' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL se... | [
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image-segmentation | pytorch |
# DeepLabV3-Plus-MobileNet: Optimized for Mobile Deployment
## Deep Convolutional Neural Network model for semantic segmentation
DeepLabV3 is designed for semantic segmentation at mul... | {"license": "mit", "library_name": "pytorch", "tags": ["android"], "datasets": ["VOC2012"], "pipeline_tag": "image-segmentation"} | qualcomm/DeepLabV3-Plus-MobileNet | null | [
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| ![](URL
DeepLabV3-Plus-MobileNet: Optimized for Mobile Deployment
=========================================================
Deep Convolutional Neural Network model for semantic segmentation
-----------------------------------------------------------------
DeepLabV3 is designed for semantic segmentation at multipl... | [
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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": []} | kssumanth6/IntentClassification_V3 | null | [
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"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | null | # LocAlM
Compact yet powerful, LocAlM efficiently identifies the appropriate medical specialists based on your specific needs and preferences. (Less than 25 tokens per prompt!!!)
<img src="https://cdn-uploads.huggingface.co/production/uploads/6630105676ea93b5c2b0ac1f/gIHJOFIv6TgS7MQwpMQp4.jpeg" width=400 />
> Alm is... | {} | potion-verte/LocAlM | null | [
"gguf",
"region:us"
] | null | 2024-04-30T21:53:13+00:00 | [] | [] | TAGS
#gguf #region-us
| # LocAlM
Compact yet powerful, LocAlM efficiently identifies the appropriate medical specialists based on your specific needs and preferences. (Less than 25 tokens per prompt!!!)
<img src="URL width=400 />
> Alm is a small but smart duck, reminiscent in size of his parent model, phi3
# Versions
LocAlM comes in 2 v... | [
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text-generation | transformers |
# Model Card for Model ID
Phi3-mini-128k and phi3-mini-alpaca merged
| {"library_name": "transformers", "tags": []} | MadElf1337/phi-3-mini-alpaca-merged | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #autotrain_compatible #endpoints_compatible #region-us
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# Model Card for Model ID
Phi3-mini-128k and phi3-mini-alpaca merged
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null | null | # RVC Voice Model
## Overview
This repository contains the RVC Voice Model, a robust machine learning model for voice synthesis. The model is designed to accurately replicate a specific voice, providing high-quality audio output suitable for various applications.
## File Structure
- **Index File**: `logs/dotcom/added... | {"license": "mit"} | bloomsirenix/dotcom_rvc | null | [
"tensorboard",
"license:mit",
"region:us"
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#tensorboard #license-mit #region-us
| # RVC Voice Model
## Overview
This repository contains the RVC Voice Model, a robust machine learning model for voice synthesis. The model is designed to accurately replicate a specific voice, providing high-quality audio output suitable for various applications.
## File Structure
- Index File: 'logs/dotcom/added_IVF... | [
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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": []} | jiuhai/llama-3-1725 | null | [
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"autotrain_compatible",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Uploaded model
- **Developed by:** katharsis
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | katharsis/llama3-8b-oig-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: katharsis
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.4699208438396454
f1_macro: 0.8648394526320947
f1_micro: 0.8277777777777777
f1_weighted: 0.827145991318232
precision_macro: 0.8595340501792115
precision_micro: 0.8277777777777777
precision_weighted: 0.8456027479091... | {"tags": ["autotrain", "text-classification"], "datasets": ["v11/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Zerithas/v11 | null | [
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"autotrain",
"dataset:v11/autotrain-data",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-30T22:01:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #autotrain #dataset-v11/autotrain-data #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.4699208438396454
f1_macro: 0.8648394526320947
f1_micro: 0.8277777777777777
f1_weighted: 0.827145991318232
precision_macro: 0.8595340501792115
precision_micro: 0.8277777777777777
precision_weighted: 0.8456027479091... | [
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text-generation | llama.cpp |
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)
Authors
: Google
... | {"license": "gemma", "library_name": "llama.cpp", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below. R... | google/codegemma-1.1-2b-GGUF | null | [
"llama.cpp",
"gguf",
"text-generation",
"license:gemma",
"region:us"
] | null | 2024-04-30T22:01:59+00:00 | [] | [] | TAGS
#llama.cpp #gguf #text-generation #license-gemma #region-us
| CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
>
> [!IMPORTANT]
>
>
> In URL, and other related tools such as Ollama and LM Studio, please make sure that you have these flags set ... | [] | [
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text-generation | llama.cpp |
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)
Authors
: Google
... | {"license": "gemma", "library_name": "llama.cpp", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below. R... | google/codegemma-1.1-7b-it-GGUF | null | [
"llama.cpp",
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"text-generation",
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"region:us"
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#llama.cpp #gguf #text-generation #license-gemma #region-us
| CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
>
> [!IMPORTANT]
>
>
> In URL, and other related tools such as Ollama and LM Studio, please make sure that you have these flags set ... | [] | [
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null | null |
# cleatherbury/CatPPT-base-Q5_K_M-GGUF
This model was converted to GGUF format from [`rishiraj/CatPPT-base`](https://huggingface.co/rishiraj/CatPPT-base) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"]} | cleatherbury/CatPPT-base-Q5_K_M-GGUF | null | [
"gguf",
"merge",
"llama-cpp",
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#gguf #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# cleatherbury/CatPPT-base-Q5_K_M-GGUF
This model was converted to GGUF format from 'rishiraj/CatPPT-base' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | dhajnes/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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null | transformers |
# Uploaded model
- **Developed by:** katharsis
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | katharsis/llama3-8b-oig-unsloth | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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|
# Uploaded model
- Developed by: katharsis
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | gemma_torch |
# CodeGemma Model Card
> [!IMPORTANT]
>
> This repository corresponds to the CodeGemma 7B IT checkpoint for use with [Gemma PyTorch](https://github.com/google/gemma_pytorch). If you're looking for the `transformers` implementation, or more detailed model card, visit https://huggingface.co/google/codegemma-1.1-7b-it.
... | {"license": "gemma", "library_name": "gemma_torch", "tags": ["pytorch"], "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugg... | google/codegemma-1.1-7b-it-pytorch | null | [
"gemma_torch",
"pytorch",
"text-generation",
"license:gemma",
"region:us"
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#gemma_torch #pytorch #text-generation #license-gemma #region-us
|
# CodeGemma Model Card
> [!IMPORTANT]
>
> This repository corresponds to the CodeGemma 7B IT checkpoint for use with Gemma PyTorch. If you're looking for the 'transformers' implementation, or more detailed model card, visit URL
Model Page: CodeGemma
Resources and Technical Documentation:
* Technical Report
* Respo... | [
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text-generation | gemma_torch |
# CodeGemma Model Card
> [!IMPORTANT]
>
> This repository corresponds to the CodeGemma 2B checkpoint for use with [Gemma PyTorch](https://github.com/google/gemma_pytorch). If you're looking for the `transformers` implementation, or more detailed model card, visit https://huggingface.co/google/codegemma-1.1-2b.
**Mod... | {"license": "gemma", "library_name": "gemma_torch", "tags": ["pytorch"], "extra_gated_heading": "Access Codeemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Huggi... | google/codegemma-1.1-2b-pytorch | null | [
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|
# CodeGemma Model Card
> [!IMPORTANT]
>
> This repository corresponds to the CodeGemma 2B checkpoint for use with Gemma PyTorch. If you're looking for the 'transformers' implementation, or more detailed model card, visit URL
Model Page: CodeGemma
Resources and Technical Documentation:
* Technical Report
* Responsi... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
loss: 0.19687849283218384
mse: 0.19687849283218384
mae: 0.2855921685695648
r2: 0.2613240842619654
rmse: 0.4437099099159241
explained_variance: 0.26253634691238403
| {"tags": ["autotrain", "text-regression"], "datasets": ["autotrain-y5fnj-qjq2l/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Konark-HC/autotrain-y5fnj-qjq2l | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
loss: 0.19687849283218384
mse: 0.19687849283218384
mae: 0.2855921685695648
r2: 0.2613240842619654
rmse: 0.4437099099159241
explained_variance: 0.26253634691238403
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null | null | ~~1704 and 1804 RAWrr Yi-34B-200K-xlctx loras came out bad, which I realized now. I had HDD drive failure and it was the one holding up Linux that training was happening on. Probably that's why.~~
Nah, it was transformers or peft python update that broke my merging process. I downgraded and it works. 1704/1804/3004 lor... | {"license": "other", "license_name": "yi-license", "license_link": "LICENSE"} | adamo1139/Yi-34B-200K-XLCTX-RAWrr-3004-LoRA | null | [
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#safetensors #license-other #region-us
| ~~1704 and 1804 RAWrr Yi-34B-200K-xlctx loras came out bad, which I realized now. I had HDD drive failure and it was the one holding up Linux that training was happening on. Probably that's why.~~
Nah, it was transformers or peft python update that broke my merging process. I downgraded and it works. 1704/1804/3004 lor... | [] | [
"TAGS\n#safetensors #license-other #region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AbdWalidAI/Llama-3-8B-Instruct-dialogsum | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-30T22:08:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jtatman/OrpoDolphin-3-8B-16k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "jtatman/OrpoDolphin-3-8B-16k", "quantized_by": "mradermacher"} | mradermacher/OrpoDolphin-3-8B-16k-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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] |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | samzirbo/mT5.pretrained.en-es.16K | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T22:11:27+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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token-classification | spacy | | Feature | Description |
| --- | --- |
| **Name** | `en_pipeline` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `ner` |
| **Components** | `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |
### ... | {"language": ["en"], "tags": ["spacy", "token-classification"]} | Agreus/en_pipeline | null | [
"spacy",
"token-classification",
"en",
"region:us"
] | null | 2024-04-30T22:12:57+00:00 | [] | [
"en"
] | TAGS
#spacy #token-classification #en #region-us
|
### Label Scheme
View label scheme (9 labels for 1 components)
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null | null | The GGUF files of [xtuner/llava-llama-3-8b-v1_1](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) | {"tags": ["llava", "llama", "llava-llama", "gguf", "GGUF"]} | nitsuai/llava-llama-3-8b-v1_1-GGUF | null | [
"gguf",
"llava",
"llama",
"llava-llama",
"GGUF",
"region:us"
] | null | 2024-04-30T22:13:06+00:00 | [] | [] | TAGS
#gguf #llava #llama #llava-llama #GGUF #region-us
| The GGUF files of xtuner/llava-llama-3-8b-v1_1 | [] | [
"TAGS\n#gguf #llava #llama #llava-llama #GGUF #region-us \n"
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-finetune
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisper-tiny-finetune", "results": []}]} | sajidof/whisper-tiny-finetune | null | [
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"whisper",
"automatic-speech-recognition",
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"base_model:openai/whisper-tiny.en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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| whisper-tiny-finetune
=====================
This model is a fine-tuned version of openai/URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5196
* Wer: 19.8880
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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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. -->
# AOLM1
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "AOLM1", "results": []}]} | Litzy619/AOLM1 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T22:17:37+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| AOLM1
=====
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1410
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "9527-detail-realistic-xl"
Codin... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/9527-detail-realistic-xl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-30T22:18:34+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "9527-detail-realistic-xl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-32B - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5-... | {} | RichardErkhov/Qwen_-_Qwen1.5-32B-4bits | null | [
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"qwen2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-32B - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen-research
license_link: >-
URL
language:
- en
pipeline_tag: text-generation
tags:
- pretrained
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-50-0.0006 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
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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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/plbart-java-cs | null | [
"transformers",
"safetensors",
"plbart",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:21:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #plbart #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this t... | {"language": ["en"], "license": "mit", "library_name": "transformers", "base_model": "namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Instruct-80K-QLoRA-Merged-GGUF | null | [
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"base_model:namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:22:58+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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 - embracellm/sushi09_LoRA
<Gallery />
## Model description
These are embracellm/sushi09_LoRA LoR... | {"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 Salmon Sushi ... | embracellm/sushi09_LoRA | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"dora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-30T22:23:10+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - embracellm/sushi09_LoRA
<Gallery />
## Model description
These are embracellm/sushi09_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 training: madeb... | [
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"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - embracellm/sushi09_LoRA\n\n<Gallery />",
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"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n# SDXL LoRA DreamBooth - embracellm/sushi09_LoRA\n\n<Gallery />## Model description\n\nT... |
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 - tonyassi/dolls-kill-club-exx
<Gallery />
## Model description
These are tonyassi/dolls-kill-cl... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "Dolls Kill Club Exx styl... | tonyassi/dolls-kill-club-exx | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-30T22:24:32+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - tonyassi/dolls-kill-club-exx
<Gallery />
## Model description
These are tonyassi/dolls-kill-club-exx 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 train... | [
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"## Model description\n\nThese are tonyassi/dolls-kill-club-exx LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/plbart-python-en_XX | null | [
"transformers",
"safetensors",
"plbart",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:25:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #plbart #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# DDPO trained model
num_epochs=20
train_gradient_accumulation_steps=1
sample_num_steps=30
sample_batch_size=8
train_batch_size=8
sample_num_batches_per_epoch=32
based off of stabilityai/stable-diffusion-2-base
and then trained off of None
| {} | jlbaker361/ddpo-runway-image_reward-chatgpt | null | [
"region:us"
] | null | 2024-04-30T22:29:59+00:00 | [] | [] | TAGS
#region-us
|
# DDPO trained model
num_epochs=20
train_gradient_accumulation_steps=1
sample_num_steps=30
sample_batch_size=8
train_batch_size=8
sample_num_batches_per_epoch=32
based off of stabilityai/stable-diffusion-2-base
and then trained off of None
| [
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text-generation | null |
## Exllama v2 Quantizations of llama-3-8b-256k-PoSE
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch co... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "axolotl"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/llama-3-8b-256k-PoSE-exl2 | null | [
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"axolotl",
"text-generation",
"en",
"region:us"
] | null | 2024-04-30T22:30:42+00:00 | [] | [
"en"
] | TAGS
#facebook #meta #pytorch #llama #llama-3 #axolotl #text-generation #en #region-us
| Exllama v2 Quantizations of llama-3-8b-256k-PoSE
------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.20 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, wit... | [] | [
"TAGS\n#facebook #meta #pytorch #llama #llama-3 #axolotl #text-generation #en #region-us \n"
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null | null |
```
e88 88e d8
d888 888b 8888 8888 ,"Y88b 888 8e d88
C8888 8888D 8888 8888 "8" 888 888 88b d88888
Y888 888P Y888 888P ,ee 888 888 888 888
"88 88" "88 88" "88 888 888 888 888
b
8b, ... | {"license": "cc-by-nc-4.0", "tags": ["GGUF", "iMat", "llama3"]} | Quant-Cartel/Poppy_Porpoise-DADA-8B-iMat-GGUF | null | [
"gguf",
"GGUF",
"iMat",
"llama3",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-30T22:31:06+00:00 | [] | [] | TAGS
#gguf #GGUF #iMat #llama3 #license-cc-by-nc-4.0 #region-us
|
## Poppy_Porpoise-DADA-8B-iMat-GGUF
Quantized from fp16 with love.
* Weighted quantizations were calculated with fp16 GGUF using groups_merged.txt in 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this process
<b>Important Note - Quantized post PR6920. There m... | [
"## Poppy_Porpoise-DADA-8B-iMat-GGUF\n\n\nQuantized from fp16 with love.\n* Weighted quantizations were calculated with fp16 GGUF using groups_merged.txt in 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this process\n\n<b>Important Note - Quantized post PR6920.... | [
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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": ["trl", "sft"]} | EdBerg/002Llama3_b_finance_finetuned_test | null | [
"transformers",
"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:34:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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null | transformers |
# TS-Corpus WordPiece Tokenizer (256k, Cased)
## Overview
This repository contains a WordPiece tokenizer with a vocabulary size of 256,000, trained uncased on various datasets from the TS Corpus website. It is designed to handle Turkish text, leveraging rich and diverse sources to provide a robust tool for natural la... | {"language": ["tr"], "license": "mit", "library_name": "transformers"} | tahaenesaslanturk/ts-corpus-wordpiece-256k-cased | null | [
"transformers",
"tr",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:35:54+00:00 | [] | [
"tr"
] | TAGS
#transformers #tr #license-mit #endpoints_compatible #region-us
|
# TS-Corpus WordPiece Tokenizer (256k, Cased)
## Overview
This repository contains a WordPiece tokenizer with a vocabulary size of 256,000, trained uncased on various datasets from the TS Corpus website. It is designed to handle Turkish text, leveraging rich and diverse sources to provide a robust tool for natural la... | [
"# TS-Corpus WordPiece Tokenizer (256k, Cased)",
"## Overview\nThis repository contains a WordPiece tokenizer with a vocabulary size of 256,000, trained uncased on various datasets from the TS Corpus website. It is designed to handle Turkish text, leveraging rich and diverse sources to provide a robust tool for n... | [
"TAGS\n#transformers #tr #license-mit #endpoints_compatible #region-us \n",
"# TS-Corpus WordPiece Tokenizer (256k, Cased)",
"## Overview\nThis repository contains a WordPiece tokenizer with a vocabulary size of 256,000, trained uncased on various datasets from the TS Corpus website. It is designed to handle Tu... | [
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"TAGS\n#transformers #tr #license-mit #endpoints_compatible #region-us \n# TS-Corpus WordPiece Tokenizer (256k, Cased)## Overview\nThis repository contains a WordPiece tokenizer with a vocabulary size of 256,000, trained uncased on various datasets from the TS Corpus website. It is designed to handle Turkish text, ... |
null | null | # TS-Corpus BPE Tokenizer (256k, Cased)
## Overview
This repository hosts a Byte Pair Encoding (BPE) tokenizer with a vocabulary size of 256,000, trained cased using several datasets from the TS Corpus website. The BPE method is particularly effective for languages like Turkish, providing a balance between word-level ... | {"license": "mit"} | tahaenesaslanturk/ts-corpus-bpe-256k-cased | null | [
"license:mit",
"region:us"
] | null | 2024-04-30T22:36:56+00:00 | [] | [] | TAGS
#license-mit #region-us
| # TS-Corpus BPE Tokenizer (256k, Cased)
## Overview
This repository hosts a Byte Pair Encoding (BPE) tokenizer with a vocabulary size of 256,000, trained cased using several datasets from the TS Corpus website. The BPE method is particularly effective for languages like Turkish, providing a balance between word-level ... | [
"# TS-Corpus BPE Tokenizer (256k, Cased)",
"## Overview\nThis repository hosts a Byte Pair Encoding (BPE) tokenizer with a vocabulary size of 256,000, trained cased using several datasets from the TS Corpus website. The BPE method is particularly effective for languages like Turkish, providing a balance between w... | [
"TAGS\n#license-mit #region-us \n",
"# TS-Corpus BPE Tokenizer (256k, Cased)",
"## Overview\nThis repository hosts a Byte Pair Encoding (BPE) tokenizer with a vocabulary size of 256,000, trained cased using several datasets from the TS Corpus website. The BPE method is particularly effective for languages like ... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "arienmixxl-asian-portrait"
Codi... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/arienmixxL-asian-portrait | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-30T22:36:58+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "arienmixxl-asian-portrait"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: Vie... | [
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"arienmixxl-asian-portrait\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Im... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nRe... | [
56,
8,
519
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in... |
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": []} | paytonison/Aristotle-GPT-Neo-250M-Alpha | null | [
"transformers",
"safetensors",
"gpt_neo",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:37:04+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt_neo #text-generation #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 | mlx |
# mlx-community/dolphin-2.9-llama3-8b-1m-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b-1m`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b-1m) for more details on the model.
## Use... | {"license": "other", "tags": ["generated_from_trainer", "axolotl", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-... | mlx-community/dolphin-2.9-llama3-8b-1m-4bit | null | [
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dat... | null | 2024-04-30T22:38:14+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #generated_from_trainer #axolotl #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #data... |
# mlx-community/dolphin-2.9-llama3-8b-1m-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b-1m']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | TLLM/llama-3-zhtw-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T22:38:42+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:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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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. -->
# AOLM2
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "AOLM2", "results": []}]} | Litzy619/AOLM2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
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#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| AOLM2
=====
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1428
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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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. -->
# AOLM3
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "AOLM3", "results": []}]} | Litzy619/AOLM3 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
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#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| AOLM3
=====
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1426
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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text-generation | transformers |
# llama3-8B-slerp-biomed-chat-chinese
llama3-8B-slerp-biomed-chat-chinese is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [shanchen/llama3-8B-slerp-med-chinese](https://huggingface.co/shanchen/llama3-8B-slerp-med-chinese... | {"language": ["zh", "en"], "license": "llama3", "tags": ["merge", "mergekit", "lazymergekit", "shanchen/llama3-8B-slerp-med-chinese", "shenzhi-wang/Llama3-8B-Chinese-Chat"], "base_model": ["shanchen/llama3-8B-slerp-med-chinese", "shenzhi-wang/Llama3-8B-Chinese-Chat"]} | shanchen/llama3-8B-slerp-biomed-chat-chinese | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
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"conversational",
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"en",
"base_model:shanchen/llama3-8B-slerp-med-chinese",
"base_model:shenzhi-wang/Llama3-8B... | null | 2024-04-30T22:40:17+00:00 | [] | [
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# llama3-8B-slerp-biomed-chat-chinese
llama3-8B-slerp-biomed-chat-chinese is a merge of the following models using LazyMergekit:
* shanchen/llama3-8B-slerp-med-chinese
* shenzhi-wang/Llama3-8B-Chinese-Chat
## Configuration
## Usage
| [
"# llama3-8B-slerp-biomed-chat-chinese\n\nllama3-8B-slerp-biomed-chat-chinese is a merge of the following models using LazyMergekit:\n* shanchen/llama3-8B-slerp-med-chinese\n* shenzhi-wang/Llama3-8B-Chinese-Chat",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeQwen1.5-7B - GGUF
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/CodeQwen1.... | {} | RichardErkhov/Qwen_-_CodeQwen1.5-7B-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-30T22:43:19+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeQwen1.5-7B - GGUF
* Model creator: URL
* Original model: URL
Name: CodeQwen1.5-7B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.84GB
Name: CodeQwen1.5-7B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.13GB
Name: CodeQwen1.5-7B.IQ3\_S.gguf,... | [] | [
"TAGS\n#gguf #region-us \n"
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null | null | # 🌋 LLaVA: Large Language and Vision Assistant
*Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.*
[📢 [LLaVA-NeXT Blog](https://llava-vl.github.io/blog/2024-01-30-llava-next/)] [[Project Page](https://llava-vl.github.io/)] [[Demo](https://llava.hliu.cc/)] [[Data](htt... | {} | multitensor/llava_mistral_cpu | null | [
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"arxiv:2310.03744",
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"arxiv:2309.10020",
"arxiv:2306.14895",
"arxiv:2112.05682",
"endpoints_compatible",
"region:us"
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| LLaVA: Large Language and Vision Assistant
==========================================
*Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.*
[LLaVA-NeXT Blog] [Project Page] [Demo] [Data] [Model Zoo]
Community Contributions: [URL] [Colab] [Space] [Replicate] [AutoGen] ... | [
"### Hyperparameters\n\n\nWe use a similar set of hyperparameters as Vicuna in finetuning. Both hyperparameters used in pretraining and finetuning are provided below.\n\n\n1. Pretraining\n\n\n\n2. Finetuning",
"### Download Vicuna checkpoints (automatically)\n\n\nOur base model Vicuna v1.5, which is an instructio... | [
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null | mlx |
# mlx-community/dolphin-2.9-llama3-8b-1m-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b-1m`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b-1m) for more details on the model.
## Use... | {"license": "other", "tags": ["generated_from_trainer", "axolotl", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-... | mlx-community/dolphin-2.9-llama3-8b-1m-8bit | null | [
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"llama",
"generated_from_trainer",
"axolotl",
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dat... | null | 2024-04-30T22:45:14+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #generated_from_trainer #axolotl #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #data... |
# mlx-community/dolphin-2.9-llama3-8b-1m-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b-1m']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeQwen1.5-7B-Chat - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/... | {} | RichardErkhov/Qwen_-_CodeQwen1.5-7B-Chat-4bits | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-30T22:45:32+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeQwen1.5-7B-Chat - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen
license_link: >-
URL
language:
- en
pipeline_tag: text-generation
tags:
- chat
---
# ... | [
"# CodeQwen1.5-7B-Chat",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mT5.test.tedtalks.simple
This model is a fine-tuned version of [samzirbo/mT5.pretrained.en-es.16K](https://huggingface.co/samzir... | {"tags": ["generated_from_trainer"], "base_model": "samzirbo/mT5.pretrained.en-es.16K", "model-index": [{"name": "mT5.test.tedtalks.simple", "results": []}]} | samzirbo/mT5.test.tedtalks.simple | null | [
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"text-generation-inference",
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|
# URL
This model is a fine-tuned version of samzirbo/URL-es.16K on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.4559
- eval_bleu: 23.0583
- eval_meteor: 0.5191
- eval_chrF++: 46.831
- eval_runtime: 59.5279
- eval_samples_per_second: 33.598
- eval_steps_per_second: 0.53... | [
"# URL\n\nThis model is a fine-tuned version of samzirbo/URL-es.16K on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.4559\n- eval_bleu: 23.0583\n- eval_meteor: 0.5191\n- eval_chrF++: 46.831\n- eval_runtime: 59.5279\n- eval_samples_per_second: 33.598\n- eval_steps_per_... | [
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null | null |
## FRANKENWEIGHTS
dunh dunh dunh...
You wouldn't think something like this might work, but it does. I took the text encoder from my "Storytime" model
and then blindly pasted it over the text encoder stuff in the SD 1.5 model and now we have 
It's ALIVE!!!:
![](Examples... | {"license": "creativeml-openrail-m"} | aplewe/FrankenWeights | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-30T22:47:11+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
## FRANKENWEIGHTS
dunh dunh dunh...
You wouldn't think something like this might work, but it does. I took the text encoder from my "Storytime" model
and then blindly pasted it over the text encoder stuff in the SD 1.5 model and now we have !FrankenWeights
It's ALIVE!!!:
Also i... | [
"## FRANKENWEIGHTS\n\ndunh dunh dunh...\n\nYou wouldn't think something like this might work, but it does. I took the text encoder from my \"Storytime\" model\nand then blindly pasted it over the text encoder stuff in the SD 1.5 model and now we have !FrankenWeights\nIt's ALIVE!!!:\n\n![](Examples/FrankenPosition.P... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
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"TAGS\n#license-creativeml-openrail-m #region-us \n## FRANKENWEIGHTS\n\ndunh dunh dunh...\n\nYou wouldn't think something like this might work, but it does. I took the text encoder from my \"Storytime\" model\nand then blindly pasted it over the text encoder stuff in the SD 1.5 model and now we have !FrankenWeights... |
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 - embracellm/sushi10_LoRA
<Gallery />
## Model description
These are embracellm/sushi10_LoRA LoR... | {"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 Tuna Sushi Bu... | embracellm/sushi10_LoRA | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-30T22:47:24+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - embracellm/sushi10_LoRA
<Gallery />
## Model description
These are embracellm/sushi10_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 training: madeb... | [
"# SDXL LoRA DreamBooth - embracellm/sushi10_LoRA\n\n<Gallery />",
"## Model description\n\nThese are embracellm/sushi10_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used for ... | [
"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - embracellm/sushi10_LoRA\n\n<Gallery />",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | dhajnes/ppo-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-30T22:49:22+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-1k-search-3iter-50-0.0006 | null | [
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# beit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "beit-base-patch16-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, ... | BilalMuftuoglu/beit-base-patch16-224-finetuned-eurosat | null | [
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| beit-base-patch16-224-finetuned-eurosat
=======================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4134
* Accuracy: 0.8333
Model description
-----------------
55 dişl... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 100\n* eval\\_batch\\_size: 100\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 400\n* optimizer: Adam with betas=(0.9,0.999) and epsi... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeQwen1.5-7B-Chat - bnb 8bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/... | {} | RichardErkhov/Qwen_-_CodeQwen1.5-7B-Chat-8bits | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeQwen1.5-7B-Chat - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen
license_link: >-
URL
language:
- en
pipeline_tag: text-generation
tags:
- chat
---
# ... | [
"# CodeQwen1.5-7B-Chat",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/abacusai/Llama-3-Giraffe-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-Gi... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["meta", "llama-3"], "base_model": "abacusai/Llama-3-Giraffe-70B", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Giraffe-70B-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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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BioNLP-tech-decoder-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More information nee... | {"tags": ["summarization", "generated_from_trainer"], "model-index": [{"name": "BioNLP-tech-decoder-eLife", "results": []}]} | dtorber/BioNLP-tech-decoder-eLife | null | [
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|
# BioNLP-tech-decoder-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following... | [
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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/mooncell_v41 | 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]:
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text-generation | transformers | # Llama 3 70B Instruct Storywriter
Llama 3 70B Instruct, further finetuned on a dataset consisting of books in the fiction genre.
This was just an experiment, but it turned out well enough that I'm sharing it. The finetuning has caused a significant shift in the model's writing style, and seems to have made it more cr... | {} | tdrussell/Llama-3-70B-Instruct-Storywriter | null | [
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| # Llama 3 70B Instruct Storywriter
Llama 3 70B Instruct, further finetuned on a dataset consisting of books in the fiction genre.
This was just an experiment, but it turned out well enough that I'm sharing it. The finetuning has caused a significant shift in the model's writing style, and seems to have made it more cr... | [
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image-text-to-text | xtuner |
# mlx-community/llava-llama-3-8b-v1_1-8bit
This model was converted to MLX format from [`xtuner/llava-llama-3-8b-v1_1-transformers`]() using mlx-vllm version **0.0.3**.
Refer to the [original model card](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-transformers) for more details on the model.
## Use with mlx
`... | {"library_name": "xtuner", "tags": ["mlx"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | mlx-community/llava-llama-3-8b-v1_1-8bit | null | [
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|
# mlx-community/llava-llama-3-8b-v1_1-8bit
This model was converted to MLX format from ['xtuner/llava-llama-3-8b-v1_1-transformers']() using mlx-vllm version 0.0.3.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# final_classifications
This model is a fine-tuned version of [yhavinga/t5-small-24L-ccmatrix-multi](https://huggingface.co/yhavin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "precision", "recall"], "base_model": "yhavinga/t5-small-24L-ccmatrix-multi", "model-index": [{"name": "final_classifications", "results": []}]} | nizarh1999/final_classifications | null | [
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| final\_classifications
======================
This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset.
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* Loss: 0.1005
* F1: {'f1': 0.9592760180995475}
* Precision: {'precision': 0.954954954954955}
* Recall: {'recall': ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Arara10
- **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"} | Arara10/wolf_coder_mistral_7b_bnb_4bit | null | [
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# Uploaded model
- Developed by: Arara10
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
<h1 align='center' style='font-size: 36px; font-weight: bold;'>LlamaKatz</h1>
<h3 align='center' style='font-size: 24px;'>Mixture of Llama Experts 3x8B</h3>
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<h1 align='center' style='font-size: 36px; font-weight: bold;'>LlamaKatz</h1>
<h3 align='center' style='font-size: 24px;'>Mixture of Llama Experts 3x8B</h3>
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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 - embracellm/sushi11_LoRA
<Gallery />
## Model description
These are embracellm/sushi11_LoRA LoR... | {"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 Pacific Combo... | embracellm/sushi11_LoRA | null | [
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|
# SDXL LoRA DreamBooth - embracellm/sushi11_LoRA
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## Model description
These are embracellm/sushi11_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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sentence-similarity | sentence-transformers |
# savdar/snowflake-ft-camelids-l
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | savdar/snowflake-ft-camelids-l | null | [
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# savdar/snowflake-ft-camelids-l
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | HC-85/distilbert-lora-arxiv-multilabel-b16 | null | [
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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... | {"license": "apache-2.0", "library_name": "transformers"} | chihoonlee10/T3Q-LLM-MG-DPO-v1.0 | null | [
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sentence-similarity | sentence-transformers |
# jjovalle99/snowflake-ft-camelids-l
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this m... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | jjovalle99/snowflake-ft-camelids-l | null | [
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text-generation | null |
## Exllama v2 Quantizations of Llama-3-8B-Instruct-Gradient-1048k
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Llama-3-8B-Instruct-Gradient-1048k-exl2 | null | [
"meta",
"llama-3",
"text-generation",
"en",
"license:llama3",
"region:us"
] | null | 2024-04-30T23:22:18+00:00 | [] | [
"en"
] | TAGS
#meta #llama-3 #text-generation #en #license-llama3 #region-us
| Exllama v2 Quantizations of Llama-3-8B-Instruct-Gradient-1048k
--------------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.20 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an ind... | [] | [
"TAGS\n#meta #llama-3 #text-generation #en #license-llama3 #region-us \n"
] | [
24
] | [
"TAGS\n#meta #llama-3 #text-generation #en #license-llama3 #region-us \n"
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text-to-image | diffusers |
# Tamarin_XL API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "tamarinxl"
Coding in PHP... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/tamarinxl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-30T23:22:39+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Tamarin_XL API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "tamarinxl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View mode... | [
"# Tamarin_XL API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"tamarinxl\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Images\n... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
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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. -->
# layoutlmv3-funsd-finetuned
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/la... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-funsd-finetuned", "results": []}]} | Negus/layoutlmv3-funsd-finetuned | null | [
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"safetensors",
"layoutlmv3",
"token-classification",
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"base_model:microsoft/layoutlmv3-base",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
| layoutlmv3-funsd-finetuned
==========================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6391
* Precision: 0.8943
* Recall: 0.9121
* F1: 0.9031
* Accuracy: 0.8540
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 1000",
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text-to-image | diffusers |
# Booltning XL v1 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "booltning-xl-v1"
C... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/booltning-xl-v1 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-30T23:29:50+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Booltning XL v1 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "booltning-xl-v1"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link... | [
"# Booltning XL v1 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"booltning-xl-v1\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Genera... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | terry69/llama2-poison-20p-full | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T23:29:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers | # from_mistral_7b4-1714514853051
Description of the model.
| {"tags": ["fine-tuned", "abc123"], "languages": ["English"]} | brandonironbirdlabs/archive_from_mistral_7b4-1714514853051 | null | [
"transformers",
"safetensors",
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"region:us"
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#transformers #safetensors #mistral #text-generation #fine-tuned #abc123 #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # from_mistral_7b4-1714514853051
Description of the model.
| [
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] |
text-to-image | diffusers |
# Tamarin XL v1 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "tamarin-xl-v1"
Codin... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/tamarin-xl-v1 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-30T23:32:20+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Tamarin XL v1 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "tamarin-xl-v1"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: Vi... | [
"# Tamarin XL v1 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"tamarin-xl-v1\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate I... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# Tamarin XL v1 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ddemilla/Mixtral-8x7B-Instruct-v0.1-coords-casing-8k-with-update4-2024-finetuned | null | [
"transformers",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T23:32:21+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adjohn1313/explainable-gpt-j-6B-pku-1500-epochs | null | [
"transformers",
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"gptj",
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"arxiv:1910.09700",
"autotrain_compatible",
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#transformers #safetensors #gptj #text-generation #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 | transformers |
# Uploaded model
- **Developed by:** PythonCreate
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | PythonCreate/lora_model_trained | null | [
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|
# Uploaded model
- Developed by: PythonCreate
- License: apache-2.0
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<img src="URL width="200"/>
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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": []} | ritesh3Pillar/mistral7b-aapc | null | [
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"endpoints_compatible",
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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]:
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- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# image-captioning-Vit-GPT2-Flickr8k
This model is a fine-tuned version of [nlpconnect/vit-gpt2-image-captioning](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "nlpconnect/vit-gpt2-image-captioning", "model-index": [{"name": "image-captioning-Vit-GPT2-Flickr8k", "results": []}]} | NourFakih/image-captioning-Vit-GPT2-Flickr8k | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"base_model:nlpconnect/vit-gpt2-image-captioning",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T23:35:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #base_model-nlpconnect/vit-gpt2-image-captioning #license-apache-2.0 #endpoints_compatible #region-us
| image-captioning-Vit-GPT2-Flickr8k
==================================
This model is a fine-tuned version of nlpconnect/vit-gpt2-image-captioning on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4624
* Rouge1: 38.4609
* Rouge2: 14.1268
* Rougel: 35.4304
* Rougelsum: 35.391
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #base_model-nlpconnect/vit-gpt2-image-captioning #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... | [
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"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #base_model-nlpconnect/vit-gpt2-image-captioning #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T23:36:56+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
"# robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informat... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2\n\nThis mo... | [
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"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-410m_mz-135_WordLength_n-its-10-seed-2\n\nThis model is... |
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. -->
# esm2_t12_35M_UR50D-finetuned-localization
This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t12_35M_UR50D", "model-index": [{"name": "esm2_t12_35M_UR50D-finetuned-localization", "results": []}]} | keanhean/esm2_t12_35M_UR50D-finetuned-localization | null | [
"transformers",
"tensorboard",
"safetensors",
"esm",
"text-classification",
"generated_from_trainer",
"base_model:facebook/esm2_t12_35M_UR50D",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T23:38:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #esm #text-classification #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #autotrain_compatible #endpoints_compatible #region-us
| esm2\_t12\_35M\_UR50D-finetuned-localization
============================================
This model is a fine-tuned version of facebook/esm2\_t12\_35M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4863
* Accuracy: 0.9676
Model description
-----------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #esm #text-classification #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learn... | [
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"TAGS\n#transformers #tensorboard #safetensors #esm #text-classification #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_... |
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