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text-generation | transformers | # [MaziyarPanahi/Percival_01Experiment26-7B-GGUF](https://huggingface.co/MaziyarPanahi/Percival_01Experiment26-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Percival_01Experiment26-7B](https://huggingface.co/automerger/Percival_01Experiment26-7B)
## Description... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:rwitz/experiment26-truthy-iter-2", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-... | MaziyarPanahi/Percival_01Experiment26-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Percival_01Experiment26-7B
## Description
MaziyarPanahi/Percival_01Experiment26-7B-GGUF contains GGUF format model files for automerger/Percival_01Experiment26-7B.
## How to use
Thanks to TheBloke for preparing an... | [
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text-generation | transformers | ### DEPRECATED
Please use better calibrated version at https://huggingface.co/LnL-AI/dbrx-base-converted-v2-4bit-gptq-marlin-v2
## Use At your own Risk!
4bit gptq (marlin) version of dbrx-base-converted-v2
Run:
1. Use PR https://github.com/AutoGPTQ/AutoGPTQ/pull/625
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Us... | {} | LnL-AI/dbrx-base-converted-v2-4bit-gptq-marlin | null | [
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| ### DEPRECATED
Please use better calibrated version at URL
## Use At your own Risk!
4bit gptq (marlin) version of dbrx-base-converted-v2
Run:
1. Use PR URL
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_tensors.sh script to combine the two split files into one. HF has max 50GB file size limit.
TODO:
... | [
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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": []} | salangarica/BioMistral-LLMAUG-k0 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # [MaziyarPanahi/YamExperiment26-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamExperiment26-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamExperiment26-7B](https://huggingface.co/automerger/YamExperiment26-7B)
## Description
[MaziyarPanahi/YamExperiment26-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:mayacinka/yam-jom-7B", "base_model:yam-peleg/Experiment26-7B", "license:apache-2.0", "autotrain_compatible", "e... | MaziyarPanahi/YamExperiment26-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/YamExperiment26-7B
## Description
MaziyarPanahi/YamExperiment26-7B-GGUF contains GGUF format model files for automerger/YamExperiment26-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GG... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AraBERT_token_classification__AraEval24_merged_rassd_aratweets
This model is a fine-tuned version of [aubmindlab/bert-base-arabe... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_merged_rassd_aratweets", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_merged_rassd_aratweets | null | [
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"generated_from_trainer",
"autotrain_compatible",
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"region:us"
] | null | 2024-03-31T14:18:26+00:00 | [] | [] | TAGS
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| AraBERT\_token\_classification\_\_AraEval24\_merged\_rassd\_aratweets
=====================================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8783
* Precision: 0.0... | [
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null | transformers |
# Uploaded model
- **Developed by:** wisdominanutshell
- **License:** apache-2.0
- **Finetuned from model :** teknium/OpenHermes-2.5-Mistral-7B
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B"} | wisdominanutshell/relatedness_adapter | null | [
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|
# Uploaded model
- Developed by: wisdominanutshell
- License: apache-2.0
- Finetuned from model : teknium/OpenHermes-2.5-Mistral-7B
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 |
# Uploaded model
- **Developed by:** wisdominanutshell
- **License:** apache-2.0
- **Finetuned from model :** teknium/OpenHermes-2.5-Mistral-7B
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B"} | wisdominanutshell/relatedness_merged_16bit | null | [
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# Uploaded model
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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-unaugmented-sdc
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](http... | {"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-unaugmented-sdc", "results": [{"task": {"type": "image-classification", "name": "Image Classi... | Jayanth2002/swin-tiny-patch4-window7-224-unaugmented-sdc | null | [
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| swin-tiny-patch4-window7-224-unaugmented-sdc
============================================
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: 2.0004
* Accuracy: 0.4082
Model description
----------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Raghad2003/ft-ms-git-base-pokemon-blip-captions | null | [
"transformers",
"arxiv:1910.09700",
"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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_output
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base", "model-index": [{"name": "model_output", "results": []}]} | Raghad2003/model_output | null | [
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"region:us"
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#transformers #tensorboard #safetensors #git #text-generation #generated_from_trainer #base_model-microsoft/git-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# model_output
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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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. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | juhyun76/xlm-roberta-base-finetuned-panx-fr | null | [
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| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2765
* F1: 0.8479
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-to-image | diffusers | ### DesignGen-27k--29k Dreambooth model trained by ahmed-naseer with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBe... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | ahmed-naseer/designgen-27k-29k | null | [
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| ### DesignGen-27k--29k Dreambooth model trained by ahmed-naseer with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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null | transformers | ## About
static quants of https://huggingface.co/Antonio88/TaliML-7B-V.1-ENG
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["Conversational"], "datasets": ["Antonio88/TaliStran-DataSet"], "base_model": "Antonio88/TaliML-7B-V.1-ENG", "quantized_by": "mradermacher"} | mradermacher/TaliML-7B-V.1-ENG-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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "test-ft", "results": []}]} | adidayno/test-ft | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| test-ft
=======
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8721
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-scienceQA-v1
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "bert-scienceQA-v1", "results": []}]} | shreyas1104/bert-scienceQA-v1 | null | [
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#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| bert-scienceQA-v1
=================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3537
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | liquid9212/cqzcr0c | 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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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-large-patch16-224-unaugmented-sdc
This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-large-patch16-224", "model-index": [{"name": "vit-large-patch16-224-unaugmented-sdc", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "data... | Jayanth2002/vit-large-patch16-224-unaugmented-sdc | null | [
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| vit-large-patch16-224-unaugmented-sdc
=====================================
This model is a fine-tuned version of google/vit-large-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4070
* Accuracy: 0.8801
Model description
-----------------
More informati... | [
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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": []} | atepeq/Enlighten_Instruct_merged | null | [
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null | null | <div align="center">
<h1>GPT-SoVITS-WebUI</h1>
A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
[](https://github.com/RVC-Boss/GPT-SoVITS)
<img src="https://counter.seku.su/cmoe?name=gptso... | {} | Eempostor/GPT-SoVITS-No-WebUI-Inference-Colab | null | [
"region:us"
] | null | 2024-03-31T14:45:05+00:00 | [] | [] | TAGS
#region-us
| <div align="center">
<h1>GPT-SoVITS-WebUI</h1>
A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
![madewithlove](URL
<img src="URL /><br>
![Open In Colab](URL
![Licence](URL
![Huggingface](URL
English | 中文简体 | 日本語 | 한국어
</div>
---
## Features:
1. Zero-shot TTS: Input a 5-second vocal sampl... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-fr
This model is a fine-tuned version of [plguillou/t5-base-fr-sum-cnndm](https://huggingface.co/plguillou/t5-base-fr-sum-cnn... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "plguillou/t5-base-fr-sum-cnndm", "model-index": [{"name": "t5-fr", "results": []}]} | czartur/t5-fr | null | [
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| t5-fr
=====
This model is a fine-tuned version of plguillou/t5-base-fr-sum-cnndm on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6878
* Rouge1: 23.3848
* Rouge2: 9.3504
* Rougel: 19.3597
* Rougelsum: 19.8429
Model description
-----------------
More information needed
In... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # [MaziyarPanahi/YamshadowStrangemerges_32-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamshadowStrangemerges_32-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
## Des... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:automerger/YamShadow-7B", "base_model:Gille/StrangeMerges_32-7B-slerp", "license:apache-2.0", "autotrain_compat... | MaziyarPanahi/YamshadowStrangemerges_32-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/YamshadowStrangemerges_32-7B
## Description
MaziyarPanahi/YamshadowStrangemerges_32-7B-GGUF contains GGUF format model files for automerger/YamshadowStrangemerges_32-7B.
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null | adapter-transformers |
# Ambari-7B-Instruct-v0.2
## Overview
Ambari-7B-Instruct-v0.1 is an extension of the Ambari series, a bilingual English/Kannada model developed and released by [Cognitivelab.in](https://www.cognitivelab.in/). This model is specialized for natural language understanding tasks, particularly in the context of instructi... | {"language": ["en", "kn"], "license": "llama2", "library_name": "adapter-transformers", "tags": ["kannada", "bilingual"], "datasets": ["Cognitive-Lab/Kannada-Instruct-dataset"]} | Cognitive-Lab/Ambari-7B-Instruct-v0.2 | null | [
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|
# Ambari-7B-Instruct-v0.2
## Overview
Ambari-7B-Instruct-v0.1 is an extension of the Ambari series, a bilingual English/Kannada model developed and released by URL. This model is specialized for natural language understanding tasks, particularly in the context of instructional pairs. It is built upon the Ambari-7B-B... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment27Experiment28-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment27Experiment28-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment27Experiment28-7B](https://huggingface.co/automerger/Experiment27Experiment28-7B)
## Descrip... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment27-7B", "base_model:yam-peleg/Experiment28-7B", "license:apache-2.0", "autotrain_compatible... | MaziyarPanahi/Experiment27Experiment28-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment27Experiment28-7B
## Description
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## How to use
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/bomb3 | null | [
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text-generation | transformers |
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null | transformers | ## About
static quants of https://huggingface.co/Langboat/Mengzi3-13B-Base
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Di... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Langboat/Mengzi3-13B-Base", "quantized_by": "mradermacher"} | mradermacher/Mengzi3-13B-Base-GGUF | null | [
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-----
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
-----
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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": []} | lleticiasilvaa/TinyLlama-1.1B-Chat-v1.0-checkpoint-30 | null | [
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] | null | 2024-03-31T15:06:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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-small-patch4-window7-224-unaugmented-sdc
This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-small-patch4-window7-224", "model-index": [{"name": "swin-small-patch4-window7-224-unaugmented-sdc", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | Jayanth2002/swin-small-patch4-window7-224-unaugmented-sdc | null | [
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| swin-small-patch4-window7-224-unaugmented-sdc
=============================================
This model is a fine-tuned version of microsoft/swin-small-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0542
* Accuracy: 0.3776
Model description
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 256\n* eval\\_batch\\_size: 256\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 1024\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# S1_InstructionGeneratorBeta
This model is a fine-tuned version of [gjonesQ02/S1_InstructionGenerator](https://huggingface.co/gjo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "gjonesQ02/S1_InstructionGenerator", "model-index": [{"name": "S1_InstructionGeneratorBeta", "results": []}]} | gjonesQ02/S1_InstructionGeneratorBeta | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T15:08:55+00:00 | [] | [] | TAGS
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| S1\_InstructionGeneratorBeta
============================
This model is a fine-tuned version of gjonesQ02/S1\_InstructionGenerator on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0812
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 48\n* eval\\_batch\\_size: 48\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | lekhapinninti/finetuning-sentiment-model-3000-samples | null | [
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"region:us"
] | null | 2024-03-31T15:10:50+00:00 | [] | [] | TAGS
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3522
- Accuracy: 0.87
- F1: 0.8754
## Model description
More information needed
## Intended uses & limitations
More in... | [
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3522\n- Accuracy: 0.87\n- F1: 0.8754",
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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. -->
# HealthScribe (A Clinical Note Generator)
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["har1/MTS_Dialogue-Clinical_Note"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "conversation-summ", "results": []}]} | har1/HealthScribe-Clinical_Note_Generator | null | [
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| HealthScribe (A Clinical Note Generator)
========================================
This model is a fine-tuned version of facebook/bart-large-cnn on a modified version of MTS-Dialog Dataset dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1562
* Rouge1: 54.3238
* Rouge2: 34.2678
* Rougel: 4... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-heila
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-heila", "results": []}]} | kaiheilauser/distilroberta-base-heila | null | [
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| distilroberta-base-heila
========================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5069
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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null | transformers | ## About
static quants of https://huggingface.co/ResplendentAI/Luna-2x7B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "ResplendentAI/Luna-2x7B-MoE", "quantized_by": "mradermacher"} | mradermacher/Luna-2x7B-MoE-GGUF | null | [
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#transformers #gguf #not-for-all-audiences #en #base_model-ResplendentAI/Luna-2x7B-MoE #license-apache-2.0 #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-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. -->
# STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137
This model is a fine-tuned version of [FacebookAI/roberta-base](... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137", "results": []}]} | rajevan123/STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137 | null | [
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"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-03-31T15:13:29+00:00 | [] | [] | TAGS
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| STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137
===============================================================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5730
* Accuracy: 0.7247
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Train... | [
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null | transformers | ## About
static quants of https://huggingface.co/ChuckMcSneed/WinterGoliath-123b-32k
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/WinterGoliath-123b-32k-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggi... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge", "mergekit"], "base_model": "ChuckMcSneed/WinterGoliath-123b-32k", "quantized_by": "mradermacher"} | mradermacher/WinterGoliath-123b-32k-GGUF | null | [
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] | null | 2024-03-31T15:14:01+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #en #base_model-ChuckMcSneed/WinterGoliath-123b-32k #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | achdaisy/OpenPipe_mistral-ft-optimized-1227 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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] | null | 2024-03-31T15:14:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | juhyun76/xlm-roberta-base-finetuned-panx-it | null | [
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"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T15:15:13+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2667
* F1: 0.8386
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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 generated.
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi2_esp_v1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2_esp_v1", "results": []}]} | enriquesaou/phi2_esp_v1 | null | [
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# phi2_esp_v1
This model is a fine-tuned version of microsoft/phi-2 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 followi... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
## Exllama v2 Quantizations of Cerebrum-1.0-10.7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</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 cont... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "mistralai/Mistral-7B-v0.1", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Cerebrum-1.0-10.7B-exl2 | null | [
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| Exllama v2 Quantizations of Cerebrum-1.0-10.7B
----------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/sy4tibd | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # [MaziyarPanahi/T3qm7xNeuralsirkrishna-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qm7xNeuralsirkrishna-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
## Description
[Ma... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/T3QM7X", "base_model:Kukedlc/NeuralSirKrishna-7b", "license:apache-2.0", "autotrain_compatible", "endpoi... | MaziyarPanahi/T3qm7xNeuralsirkrishna-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/T3qm7xNeuralsirkrishna-7B
## Description
MaziyarPanahi/T3qm7xNeuralsirkrishna-7B-GGUF contains GGUF format model files for automerger/T3qm7xNeuralsirkrishna-7B.
## How to use
Thanks to TheBloke for preparing an ama... | [
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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-large-patch4-window7-224-unaugmented-sdc
This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-large-patch4-window7-224", "model-index": [{"name": "swin-large-patch4-window7-224-unaugmented-sdc", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | Jayanth2002/swin-large-patch4-window7-224-unaugmented-sdc | null | [
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| swin-large-patch4-window7-224-unaugmented-sdc
=============================================
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8573
* Accuracy: 0.75
Model description
---------... | [
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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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | juhyun76/xlm-roberta-base-finetuned-panx-en | null | [
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| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3821
* F1: 0.7138
Model description
-----------------
More information needed
Intended uses & l... | [
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sentence-similarity | sentence-transformers |
# aladar/distilroberta-base-nli-diagonaloss
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | aladar/distilroberta-base-nli-diagonaloss | null | [
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|
# aladar/distilroberta-base-nli-diagonaloss
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | PaulTbbr/ppo-LunarLander-v2-u8 | null | [
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|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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null | transformers |
# Uploaded model
- **Developed by:** LAPINILLA
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | LAPINILLA/lora_ECISEW | null | [
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|
# Uploaded model
- Developed by: LAPINILLA
- 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/bomb6 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## Llamacpp Quantizations of Cerebrum-1.0-10.7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2536">b2536</a> for quantization.
Original model: https://huggingface.co/Joseph717171/Cerebrum-1.0-10.7B
Download a file (not th... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "mistralai/Mistral-7B-v0.1", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Cerebrum-1.0-10.7B-GGUF | null | [
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#transformers #gguf #mergekit #merge #text-generation #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
| Llamacpp Quantizations of Cerebrum-1.0-10.7B
--------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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text-to-image | diffusers | ### Karnataka_stable_diffusion Dreambooth model trained by ramsri69 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLa... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | ramsri69/karnataka-stable-diffusion | null | [
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#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### Karnataka_stable_diffusion Dreambooth model trained by ramsri69 with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
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text-generation | transformers |
Good But not good ! ... Need some filtering on the output ocasionally ... it seems sometimes it shows the prompt template.... probaly its only settigns as everything else is actually fine and still will answer dangerous questions or play nefarous roles and create mad computer programs and code ... as well as simulate... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_2.1"} | LeroyDyer/Mixtral_AI_CyberBrain_SFT | null | [
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|
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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32Shadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32Shadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32Shadow-7B](https://huggingface.co/automerger/Strangemerges_32Shadow-7B)
## Description
[Ma... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Gille/StrangeMerges_32-7B-slerp", "base_model:CorticalStack/shadow-clown-7B-slerp", "license:apache-2.0", "auto... | MaziyarPanahi/Strangemerges_32Shadow-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Strangemerges_32Shadow-7B
## Description
MaziyarPanahi/Strangemerges_32Shadow-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Shadow-7B.
## How to use
Thanks to TheBloke for preparing an ama... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-xva0j-mixtral8x7b | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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": []} | cilantro9246/dneqksp | null | [
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# Model Card for Model ID
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/tek... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Truepeak/mistral_instruct_generation | null | [
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"region:us"
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|
# mistral_instruct_generation
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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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": ["unsloth", "trl", "dpo"]} | EvgenVer88/Lucky-gemma-2b-it-ru | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
- None-Training Model with editing parameters
### Model Description
- Method : Parameters Space Merged
## Model Card Contact
[More Information Needed] | {"language": ["ko"], "license": "cc-by-4.0", "library_name": "transformers"} | juengsi/DT-EQ-SOLAR-10.7B-v0.1 | null | [
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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. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | juhyun76/xlm-roberta-base-finetuned-panx-all | null | [
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| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1886
* F1: 0.8548
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | savikram/dialogue_Summary_peft | null | [
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null | transformers | ## About
static quants of https://huggingface.co/win10/BigLiberated-20B-V2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Di... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "win10/BigLiberated-20B-V2", "quantized_by": "mradermacher"} | mradermacher/BigLiberated-20B-V2-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
-----
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/raspberries_v10 | 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... | {"library_name": "transformers", "tags": []} | 0x0mom/s_8 | null | [
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null | transformers | ## About
static quants of https://huggingface.co/Kukedlc/NeuralAlgo-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "AurelPx/Percival_01-7b-slerp", "yam-peleg/Experiment26-7B"], "base_model": "Kukedlc/NeuralAlgo-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/NeuralAlgo-7B-slerp-GGUF | null | [
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"lazymergekit",
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"yam-peleg/Experiment26-7B",
"en",
"base_model:Kukedlc/NeuralAlgo-7B-slerp",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T15:53:31+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #AurelPx/Percival_01-7b-slerp #yam-peleg/Experiment26-7B #en #base_model-Kukedlc/NeuralAlgo-7B-slerp #license-apache-2.0 #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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] |
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. -->
# dinov2-large-unaugmented-sdc
This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-large", "model-index": [{"name": "dinov2-large-unaugmented-sdc", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "... | Jayanth2002/dinov2-large-unaugmented-sdc | null | [
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"dinov2",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:facebook/dinov2-large",
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"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T15:54:58+00:00 | [] | [] | TAGS
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| dinov2-large-unaugmented-sdc
============================
This model is a fine-tuned version of facebook/dinov2-large on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3449
* Accuracy: 0.8954
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Utkarsh2934/my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "Utkarsh2934/my_awesome_qa_model", "results": []}]} | Utkarsh2934/my_awesome_qa_model | null | [
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"question-answering",
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"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
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#transformers #tf #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| Utkarsh2934/my\_awesome\_qa\_model
==================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.6567
* Validation Loss: 1.8660
* Epoch: 2
Model description
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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null | null | # Casktalk V1.0
CasTalk, our avatar, possesses a distinct persona and communicates in a human-like manner. They have the ability to learn the new things (such as English tutoring and storytelling #upskills). Beyond that, they can build relationships with you.
![image/png](https://cdn-uploads.huggingface.co/productio... | {"license": "apache-2.0"} | torilab/castalk-v1.0 | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-03-31T15:55:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Casktalk V1.0
CasTalk, our avatar, possesses a distinct persona and communicates in a human-like manner. They have the ability to learn the new things (such as English tutoring and storytelling #upskills). Beyond that, they can build relationships with you.
!image/png
## Model Details
- Developed by: ToriLab (C... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# S1_InstructionGeneratorGamma
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "S1_InstructionGeneratorGamma", "results": []}]} | gjonesQ02/S1_InstructionGeneratorGamma | null | [
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"base_model:distilgpt2",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T15:55:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| S1\_InstructionGeneratorGamma
=============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0763
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 48\n* eval\\_batch\\_size: 48\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 24",
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null | transformers | # Starling-LM-7B-beta-GGUF
<!-- Provide a quick summary of what the model is/does. -->
Quantized version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
- **Developed by: The Nexusflow Team (** Banghua Zhu * , Evan Frick * , Tianhao Wu * , Hanlin Zhu, Karthik Ganesan, Wei-Li... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "RLAIF"], "datasets": ["berkeley-nest/Nectar"]} | splusminusx/Starling-LM-7B-beta-GGUF | null | [
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"dataset:berkeley-nest/Nectar",
"arxiv:1909.08593",
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"endpoints_compatible",
"region:us"
] | null | 2024-03-31T15:55:54+00:00 | [
"1909.08593"
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"en"
] | TAGS
#transformers #gguf #reward model #RLHF #RLAIF #en #dataset-berkeley-nest/Nectar #arxiv-1909.08593 #license-apache-2.0 #endpoints_compatible #region-us
| # Starling-LM-7B-beta-GGUF
Quantized version of Nexusflow/Starling-LM-7B-beta.
- Developed by: The Nexusflow Team ( Banghua Zhu * , Evan Frick * , Tianhao Wu * , Hanlin Zhu, Karthik Ganesan, Wei-Lin Chiang, Jian Zhang, and Jiantao Jiao).
- Model type: Language Model finetuned with RLHF / RLAIF
- License: Apache-2.0... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q5_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_SFT`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_SFT) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_SFT) for more det... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_2.1"} | LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q5_K_S-GGUF | null | [
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"license:apache-2.0",
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|
# LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q5_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_SFT' using URL.
Refer to the original model card for more details on the model.
## Use with URL
| [
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document-question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# document-question-answering
This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/mic... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/layoutlmv2-base-uncased", "model-index": [{"name": "document-question-answering", "results": []}]} | Oksana76B/document-question-answering | null | [
"transformers",
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"layoutlmv2",
"document-question-answering",
"generated_from_trainer",
"base_model:microsoft/layoutlmv2-base-uncased",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T15:58:22+00:00 | [] | [] | TAGS
#transformers #safetensors #layoutlmv2 #document-question-answering #generated_from_trainer #base_model-microsoft/layoutlmv2-base-uncased #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us
|
# document-question-answering
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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null | transformers |
# Uploaded model
- **Developed by:** hvadaparty
- **License:** apache-2.0
- **Finetuned from model :** unsloth/zephyr-sft-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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/zephyr-sft-bnb-4bit"} | hvadaparty/Featherlite-Beta-v0.1 | null | [
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] | null | 2024-03-31T15:59:05+00:00 | [] | [
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] | TAGS
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|
# Uploaded model
- Developed by: hvadaparty
- License: apache-2.0
- Finetuned from model : unsloth/zephyr-sft-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | 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. -->
# ConcPurcBERT-UCIRetail
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/g... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "ConcPurcBERT-UCIRetail", "results": []}]} | MSParkDev/ConcPurcBERT-UCIRetail | null | [
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| ConcPurcBERT-UCIRetail
======================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4789
* Accuracy: 0.7908
* F1: 0.7879
Model description
-----------------
More information needed
... | [
"### 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: 10",
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text-to-image | null |
# LoRA model of chevreuse/シュヴルーズ/夏沃蕾 (Genshin Impact)
## What Is This?
This is the LoRA model of waifu chevreuse/シュヴルーズ/夏沃蕾 (Genshin Impact).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts), and the test images are generated with [a1111's webui](AUTO... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/chevreuse_genshin"], "pipeline_tag": "text-to-image"} | CyberHarem/chevreuse_genshin | null | [
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#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/chevreuse_genshin #license-mit #region-us
| LoRA model of chevreuse/シュヴルーズ/夏沃蕾 (Genshin Impact)
===================================================
What Is This?
-------------
This is the LoRA model of waifu chevreuse/シュヴルーズ/夏沃蕾 (Genshin Impact).
How Is It Trained?
------------------
* This model is trained with kohya-ss/sd-scripts, and the test images a... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# news-summarization-finetuned-mistral-7b
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "news-summarization-finetuned-mistral-7b", "results": []}]} | sycorax/news-summarization-finetuned-mistral-7b | null | [
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| news-summarization-finetuned-mistral-7b
=======================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0177
Model description
-----------------
More information needed
... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-squad2-finetuned-custom-ds
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-base-squad2-finetuned-custom-ds", "results": []}]} | ngchuchi/roberta-base-squad2-finetuned-custom-ds | null | [
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| roberta-base-squad2-finetuned-custom-ds
=======================================
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1517
Model description
-----------------
More information needed
Intended ... | [
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null | transformers |
# Uploaded model
- **Developed by:** ricardo-larosa
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codellama-34b-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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/codellama-34b-bnb-4bit"} | ricardo-larosa/SWE_Lite_dev-CodeLlama-34b | null | [
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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
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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": []} | savikram/dialogue_Summary | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** hvadaparty
- **License:** apache-2.0
- **Finetuned from model :** unsloth/zephyr-sft-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers | ### ankita5 Dreambooth model trained by TheGenericUser with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-st... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | TheGenericUser/ankita5 | null | [
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| ### ankita5 Dreambooth model trained by TheGenericUser with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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text-generation | transformers |
# Beyonder-4x7B-v3-random-lora
The idea was very simple. If heuristic methods for determining gate parameters in mergekit-based MoE models can work well, then perhaps we could obtain a better performing model by fine-tuning only the gate parameters.
This model is an attempt at testing that idea. Unfortunately, the p... | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "mergekit"], "base_model": ["mlabonne/AlphaMonarch-7B", "beowolx/CodeNinja-1.0-OpenChat-7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "mlabonne/NeuralDaredevil-7B"], "model-index": [{"name": "Beyonder-4x7B-random-lora", "results": [{"task": {"type": "text-generation", "nam... | Aratako/Beyonder-4x7B-v3-random-lora | null | [
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============================
The idea was very simple. If heuristic methods for determining gate parameters in mergekit-based MoE models can work well, then perhaps we could obtain a better performing model by fine-tuning only the gate parameters.
This model is an attempt at testing tha... | [
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object-detection | transformers.js | ERROR: type should be string, got "\nhttps://huggingface.co/DILHTWD/documentlayoutsegmentation_YOLOv8_ondoclaynet with ONNX weights to be compatible with Transformers.js.\n\n## Usage (Transformers.js)\n\nIf you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:\n```bash\nnpm i @xenova/transformers\n```\n\n**Example:** Perform object-detection with `Oblix/yolov8x-doclaynet_ONNX`.\n\n```js\nimport { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';\n\nconst model = await AutoModel.from_pretrained(\n \"Oblix/yolov8x-doclaynet_ONNX\",\n {\n quantized: false,\n }\n);\nconst processor = await AutoProcessor.from_pretrained(\"Oblix/yolov8x-doclaynet_ONNX\");\n\nconst url = 'https://huggingface.co/DILHTWD/documentlayoutsegmentation_YOLOv8_ondoclaynet/resolve/main/sample1.png';\nconst rawImage = await RawImage.fromURL(url);\nconst { pixel_values } = await processor(rawImage);\nconst output = await model({ images: pixel_values });\n\n// Post-process:\nconst permuted = output.output0[0].transpose(1, 0);\n// `permuted` is a Tensor of shape [ 8400, 15 ]:\n// - 8400 potential bounding boxes\n// - 15 parameters for each box:\n// - first 4 are coordinates for the bounding boxes (x-center, y-center, width, height)\n// - the remaining 11 are the probabilities for each class\n\n// Example code to format it nicely:\nconst result = [];\nconst threshold = 0.5; // Adjust the threshold as needed\nconst [scaledHeight, scaledWidth] = pixel_values.dims.slice(-2);\nfor (const [xc, yc, w, h, ...scores] of permuted.tolist()) {\n\n // Get pixel values, taking into account the original image size\n const x1 = (xc - w/2) / scaledWidth * rawImage.width;\n const y1 = (yc - h/2) / scaledHeight * rawImage.height;\n const x2 = (xc + w/2) / scaledWidth * rawImage.width;\n const y2 = (yc + h/2) / scaledHeight * rawImage.height;\n\n // Get best class\n const argmax = scores.reduce((maxIndex, currentVal, currentIndex, arr) => currentVal > arr[maxIndex] ? currentIndex : maxIndex, 0);\n const score = scores[argmax];\n if (score < threshold) continue; // Not confident enough\n\n const label = model.config.id2label[argmax];\n result.push({\n x1, x2, y1, y2, score, label, index: argmax,\n });\n}\n\nconst iouThreshold = 0.5; // Adjust the threshold as needed\nconst filteredResults = removeDuplicates(results, iouThreshold);\nconsole.log(filteredResults);\n\nfunction removeDuplicates(detections, iouThreshold) {\n const filteredDetections = [];\n\n for (const detection of detections) {\n let isDuplicate = false;\n let duplicateIndex = -1;\n let maxIoU = 0;\n\n for (let i = 0; i < filteredDetections.length; i++) {\n const filteredDetection = filteredDetections[i];\n const iou = calculateIoU(detection, filteredDetection);\n if (iou > iouThreshold) {\n isDuplicate = true;\n if (iou > maxIoU) {\n maxIoU = iou;\n duplicateIndex = i;\n }\n }\n }\n\n if (!isDuplicate) {\n filteredDetections.push(detection);\n } else if (duplicateIndex !== -1) {\n if (detection.score > filteredDetections[duplicateIndex].score) {\n filteredDetections[duplicateIndex] = detection;\n }\n }\n }\n\n return filteredDetections;\n}\n\nfunction calculateIoU(detection1, detection2) {\n const xOverlap = Math.max(0, Math.min(detection1.x2, detection2.x2) - Math.max(detection1.x1, detection2.x1));\n const yOverlap = Math.max(0, Math.min(detection1.y2, detection2.y2) - Math.max(detection1.y1, detection2.y1));\n const overlapArea = xOverlap * yOverlap;\n\n const area1 = (detection1.x2 - detection1.x1) * (detection1.y2 - detection1.y1);\n const area2 = (detection2.x2 - detection2.x1) * (detection2.y2 - detection2.y1);\n const unionArea = area1 + area2 - overlapArea;\n\n return overlapArea / unionArea;\n}\n```\n\n**Result**\n```\n[\n {\n \"x1\": 54.53195288479328,\n \"y1\": 170.06781649589539,\n \"x2\": 95.52642979323865,\n \"y2\": 186.62115139961244,\n \"score\": 0.8901662826538086,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 53.96503926515579,\n \"y1\": 195.67131299972536,\n \"x2\": 221.8717828631401,\n \"y2\": 212.6188931465149,\n \"score\": 0.8967247605323792,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 54.53195288479328,\n \"y1\": 221.1506155014038,\n \"x2\": 98.4759178608656,\n \"y2\": 238.44384784698488,\n \"score\": 0.8795284032821655,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 55.731045877933504,\n \"y1\": 338.1506155014038,\n \"x2\": 103.58089088201523,\n \"y2\": 355.22782917022704,\n \"score\": 0.9104153513908386,\n \"label\": \"Section-header\",\n \"index\": 7\n },\n {\n \"x1\": 54.501348263025285,\n \"y1\": 452.59601612091063,\n \"x2\": 144.76493505835532,\n \"y2\": 469.1547849655152,\n \"score\": 0.9181555509567261,\n \"label\": \"Section-header\",\n \"index\": 7\n },\n {\n \"x1\": 54.37510642111301,\n \"y1\": 568.1918724060059,\n \"x2\": 73.67877252995967,\n \"y2\": 584.1619010925293,\n \"score\": 0.899300754070282,\n \"label\": \"Section-header\",\n \"index\": 7\n },\n {\n \"x1\": 54.27563991844654,\n \"y1\": 840.2569072723389,\n \"x2\": 70.35437833964825,\n \"y2\": 859.4512378692626,\n \"score\": 0.6805046796798706,\n \"label\": \"Section-header\",\n \"index\": 7\n },\n {\n \"x1\": 309.2861147403717,\n \"y1\": 908.7717830657958,\n \"x2\": 373.8879840373993,\n \"y2\": 922.6841892242431,\n \"score\": 0.8969672918319702,\n \"label\": \"Page-footer\",\n \"index\": 4\n },\n {\n \"x1\": 311.53335428237915,\n \"y1\": 10.31740515232086,\n \"x2\": 607.2475433349609,\n \"y2\": 33.85392036437988,\n \"score\": 0.9498511552810669,\n \"label\": \"Page-header\",\n \"index\": 5\n },\n {\n \"x1\": 56.66784882545471,\n \"y1\": 289.38916368484496,\n \"x2\": 416.7734823703766,\n \"y2\": 306.94164075851444,\n \"score\": 0.856067419052124,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 56.03344459533691,\n \"y1\": 309.5055012702942,\n \"x2\": 317.7232768535614,\n \"y2\": 325.49175367355343,\n \"score\": 0.8314194083213806,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 53.00637502670288,\n \"y1\": 429.9619674682617,\n \"x2\": 414.61163306236267,\n \"y2\": 445.95904312133786,\n \"score\": 0.8927980661392212,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 55.619012689590456,\n \"y1\": 638.6609138488769,\n \"x2\": 384.32462439537045,\n \"y2\": 656.8182655334473,\n \"score\": 0.9029342532157898,\n \"label\": \"List-item\",\n \"index\": 3\n },\n {\n \"x1\": 58.06927928924561,\n \"y1\": 794.932172012329,\n \"x2\": 520.523375415802,\n \"y2\": 811.1884700775146,\n \"score\": 0.9037705063819885,\n \"label\": \"List-item\",\n \"index\": 3\n },\n {\n \"x1\": 54.25830144882202,\n \"y1\": 76.01902542114259,\n \"x2\": 552.8331304550171,\n \"y2\": 158.67227897644042,\n \"score\": 0.9725438356399536,\n \"label\": \"Title\",\n \"index\": 10\n },\n {\n \"x1\": 53.636448097229,\n \"y1\": 244.93504171371458,\n \"x2\": 610.1452471733094,\n \"y2\": 274.8768593788147,\n \"score\": 0.8954038619995117,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 54.76330833435059,\n \"y1\": 364.74734601974484,\n \"x2\": 625.0439935684204,\n \"y2\": 405.74994478225705,\n \"score\": 0.7930819988250732,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 55.78299608230591,\n \"y1\": 480.10940895080563,\n \"x2\": 623.4623931884765,\n \"y2\": 556.692225265503,\n \"score\": 0.9482676982879639,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 52.160629177093504,\n \"y1\": 593.5841983795166,\n \"x2\": 609.7405840873719,\n \"y2\": 635.7749668121338,\n \"score\": 0.9440742135047913,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 53.12467575073242,\n \"y1\": 654.1885282516479,\n \"x2\": 615.2034725189209,\n \"y2\": 697.286619758606,\n \"score\": 0.9134702086448669,\n \"label\": \"List-item\",\n \"index\": 3\n },\n {\n \"x1\": 52.52786092758179,\n \"y1\": 712.9350305557251,\n \"x2\": 622.7321027755737,\n \"y2\": 754.2832815170287,\n \"score\": 0.9259238243103027,\n \"label\": \"Text\",\n \"index\": 9\n },\n {\n \"x1\": 56.837522792816166,\n \"y1\": 758.6981185913086,\n \"x2\": 607.179635810852,\n \"y2\": 787.9486541748047,\n \"score\": 0.9015638828277588,\n \"label\": \"List-item\",\n \"index\": 3\n },\n {\n \"x1\": 56.57186779975891,\n \"y1\": 810.8556049346925,\n \"x2\": 446.48612236976624,\n \"y2\": 828.0084697723388,\n \"score\": 0.8806689977645874,\n \"label\": \"List-item\",\n \"index\": 3\n }\n]\n```\n\n\n## Labels\n- Caption\n- Footnote\n- Formula\n- List-item\n- Page-footer\n- Page-header\n- Picture\n- Section-header\n- Table\n- Text\n- Title" | {"license": "gpl-3.0", "library_name": "transformers.js", "pipeline_tag": "object-detection"} | Oblix/yolov8x-doclaynet_ONNX | null | [
"transformers.js",
"onnx",
"yolos",
"object-detection",
"license:gpl-3.0",
"region:us"
] | null | 2024-03-31T16:12:36+00:00 | [] | [] | TAGS
#transformers.js #onnx #yolos #object-detection #license-gpl-3.0 #region-us
|
URL with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform object-detection with 'Oblix/yolov8x-doclaynet_ONNX'.
Result
!image/png
## Labels
- Caption
- Footnote
- Formula
- List-item
- Page-footer
- Page-... | [
"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform object-detection with 'Oblix/yolov8x-doclaynet_ONNX'.\n\n\n\nResult\n\n!image/png",
"## Labels\n- Caption\n- Footnote\n- Formula\n- List-item\n- Page-footer\n- Page-header\n- Picture\n- Sect... | [
"TAGS\n#transformers.js #onnx #yolos #object-detection #license-gpl-3.0 #region-us \n",
"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform object-detection with 'Oblix/yolov8x-doclaynet_ONNX'.\n\n\n\nResult\n\n!image/png",
"## Labels\n- Ca... | [
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"TAGS\n#transformers.js #onnx #yolos #object-detection #license-gpl-3.0 #region-us \n## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform object-detection with 'Oblix/yolov8x-doclaynet_ONNX'.\n\n\n\nResult\n\n!image/png## Labels\n- Caption\n- Foo... |
text-generation | transformers | # [MaziyarPanahi/T3qT3qm7-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qT3qm7-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qT3qm7-7B](https://huggingface.co/automerger/T3qT3qm7-7B)
## Description
[MaziyarPanahi/T3qT3qm7-7B-GGUF](https://huggingface.co/Maz... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/T3QM7", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference... | MaziyarPanahi/T3qT3qm7-7B-GGUF | null | [
"transformers",
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"safetensors",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:nlpguy/T3QM7",
"license:apache-2.0",
"autotrain_compatible",
"endpoin... | null | 2024-03-31T16:13:06+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-nlpguy/T3QM7 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #base_model-automerger/T3qT... | # MaziyarPanahi/T3qT3qm7-7B-GGUF
- Model creator: automerger
- Original model: automerger/T3qT3qm7-7B
## Description
MaziyarPanahi/T3qT3qm7-7B-GGUF contains GGUF format model files for automerger/T3qT3qm7-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### About GGUF
... | [
"# MaziyarPanahi/T3qT3qm7-7B-GGUF\n- Model creator: automerger\n- Original model: automerger/T3qT3qm7-7B",
"## Description\nMaziyarPanahi/T3qT3qm7-7B-GGUF contains GGUF format model files for automerger/T3qT3qm7-7B.",
"## How to use\nThanks to TheBloke for preparing an amazing README on how to use GGUF models:"... | [
"TAGS\n#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-nlpguy/T3QM7 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #base_model-automerge... | [
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null | transformers | ## About
static quants of https://huggingface.co/MarsupialAI/Melusine_103b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Melusine_103b-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/... | {"language": ["en"], "library_name": "transformers", "tags": ["rp", "erp", "chat", "miqu"], "base_model": "MarsupialAI/Melusine_103b", "quantized_by": "mradermacher"} | mradermacher/Melusine_103b-GGUF | null | [
"transformers",
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"rp",
"erp",
"chat",
"miqu",
"en",
"base_model:MarsupialAI/Melusine_103b",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T16:13:39+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #rp #erp #chat #miqu #en #base_model-MarsupialAI/Melusine_103b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #rp #erp #chat #miqu #en #base_model-MarsupialAI/Melusine_103b #endpoints_compatible #region-us \n"
] | [
45
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"TAGS\n#transformers #gguf #rp #erp #chat #miqu #en #base_model-MarsupialAI/Melusine_103b #endpoints_compatible #region-us \n"
] |
null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_SFT`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_SFT) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_SFT) for more det... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_2.1"} | LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q4_K_S-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"llama-cpp",
"en",
"base_model:LeroyDyer/Mixtral_AI_CyberBrain_2.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T16:13:40+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #en #base_model-LeroyDyer/Mixtral_AI_CyberBrain_2.1 #license-apache-2.0 #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_SFT' using URL.
Refer to the original model card for more details on the model.
## Use with URL
| [
"# LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_SFT' using URL.\nRefer to the original model card for more details on the model.",
"## Use with URL"
] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #en #base_model-LeroyDyer/Mixtral_AI_CyberBrain_2.1 #license-apache-2.0 #endpoints_compatible #region-us \n",
"# LeroyDyer/Mixtral_AI_CyberBrain_SFT-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SingPurcBERT-UCIRetail
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/g... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "SingPurcBERT-UCIRetail", "results": []}]} | MSParkDev/SingPurcBERT-UCIRetail | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"next-sentence-prediction",
"generated_from_trainer",
"base_model:google-bert/bert-base-multilingual-cased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T16:13:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #next-sentence-prediction #generated_from_trainer #base_model-google-bert/bert-base-multilingual-cased #license-apache-2.0 #endpoints_compatible #region-us
| SingPurcBERT-UCIRetail
======================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4977
* Accuracy: 0.7858
* F1: 0.7857
Model description
-----------------
More information needed
... | [
"### 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: 10",
"### Trainin... | [
"TAGS\n#transformers #tensorboard #safetensors #bert #next-sentence-prediction #generated_from_trainer #base_model-google-bert/bert-base-multilingual-cased #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... | [
60,
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"TAGS\n#transformers #tensorboard #safetensors #bert #next-sentence-prediction #generated_from_trainer #base_model-google-bert/bert-base-multilingual-cased #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... |
text-generation | transformers |
# Zebrafish-7B
Zebrafish-7B is my first model using the new merge method called [Model Stock](https://arxiv.org/abs/2403.19522).
Zebrafish-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [liminerity/M7-7b](https://hu... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["liminerity/M7-7b", "rwitz/experiment26-truthy-iter-0"]} | mlabonne/Zebrafish-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"arxiv:2403.19522",
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"base_model:rwitz/experiment26-truthy-iter-0",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infer... | null | 2024-03-31T16:16:06+00:00 | [
"2403.19522"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #arxiv-2403.19522 #base_model-liminerity/M7-7b #base_model-rwitz/experiment26-truthy-iter-0 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Zebrafish-7B
============
Zebrafish-7B is my first model using the new merge method called Model Stock.
Zebrafish-7B is a merge of the following models using LazyMergekit:
* liminerity/M7-7b
* rwitz/experiment26-truthy-iter-0
Special thanks to Charles Goddard for the quick implementation!
Evaluation
---------... | [
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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": []} | Paramashiva/dialogue_Summary_peft | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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image-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": []} | wenmingface/custom-resnet50d | 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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# critical-role-storywriter-3
This model is a fine-tuned version of [mosaicml/mpt-7b-storywriter](https://huggingface.co/mosaicml/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mosaicml/mpt-7b-storywriter", "model-index": [{"name": "critical-role-storywriter-3", "results": []}]} | jzampa/critical-role-storywriter-3 | null | [
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|
# critical-role-storywriter-3
This model is a fine-tuned version of mosaicml/mpt-7b-storywriter on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32Yam-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32Yam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32Yam-7B](https://huggingface.co/automerger/Strangemerges_32Yam-7B)
## Description
[MaziyarPanahi/... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Gille/StrangeMerges_32-7B-slerp", "base_model:mayacinka/yam-jom-7B", "license:apache-2.0", "autotrain_compatibl... | MaziyarPanahi/Strangemerges_32Yam-7B-GGUF | null | [
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"base_model:mayacinka/yam-jom-7B",
"l... | null | 2024-03-31T16:20:15+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Strangemerges_32Yam-7B
## Description
MaziyarPanahi/Strangemerges_32Yam-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Yam-7B.
## How to use
Thanks to TheBloke for preparing an amazing README ... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Mr - Prox
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"language": ["mr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Mr - Prox", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Aut... | iPr0x/whisper-small-mr | null | [
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| Whisper Small Mr - Prox
=======================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4593
* Wer: 44.0374
Model description
-----------------
More information needed
Intended uses & limita... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** quangcodecode
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | quangcodecode/Vistral-7B-ft-LoRA-v3-new | null | [
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|
# Uploaded model
- Developed by: quangcodecode
- License: apache-2.0
- Finetuned from model : Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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] | [
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