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text-generation | transformers |
# Join My General AI Discord (NeuroLattice):
https://discord.gg/Hz6GrwGFKD
# Tess-2.0-Mixtral
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral was trained on the mistralai/Mixtral-8x7B-v0.1 base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER: ... | {"license": "apache-2.0"} | migtissera/Tess-2.0-Mixtral-8x7B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Join My General AI Discord (NeuroLattice):
URL
# Tess-2.0-Mixtral
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral was trained on the mistralai/Mixtral-8x7B-v0.1 base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to u... | [
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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. -->
# wiki_asp-animal_7340_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-animal_7340_bart-base", "results": []}]} | baek26/wiki_asp-animal_7340_bart-base | null | [
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| wiki\_asp-animal\_7340\_bart-base
=================================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5325
* Rouge1: 0.1399
* Rouge2: 0.0606
* Rougel: 0.1236
* Rougelsum: 0.1238
* Gen Len: 15.5516
Mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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": []} | lxsure/Sniper_19 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | jisukim8873/mistral-7B-alpaca-case-2-2 | null | [
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# Model Card for Model ID
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text-to-image | diffusers | <center>
<img src="https://i.imgur.com/V5TY0Qi.png" width="80%"/>
<h1 style="font-size:1.6rem;">
<b>wd40</b>
</h1>
<h2>a Stable Diffusion model for (mechanic) weebs</h2>
</center>
## Overview
`wd40` is a Stable Diffusion model trained on a dataset of anime-style images. It is based off ~~Stable Diffusion XL Base~~ ... | {"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "text-to-image", "safetensors", "diffusers"], "thumbnail": "./images/wd40-icon.png", "inference": true, "widget": [{"text": "1girl, solo, bangs, (pink hair, gradient hair, very long hair:1.1), (purple eyes... | waifu-diffusion/wd40 | null | [
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| <center>
<img src="https://i.URL width="80%"/>
<h1 style="font-size:1.6rem;">
<b>wd40</b>
</h1>
<h2>a Stable Diffusion model for (mechanic) weebs</h2>
</center>
## Overview
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null | sentence-transformers | [Res-Q ActiFLEX](https://atozsupplement.com/res-q-actiflex/) While research is progressing, a few examinations propose that CBD might have anxiolytic (tension decreasing) and pain relieving (torment easing) properties.For stress and nervousness, certain individuals find CBD accommodating because of its indicated capa... | {"language": ["en"], "license": "bigscience-openrail-m", "library_name": "sentence-transformers", "tags": ["Res-Q ActiFLEX"]} | resqactiflex/resqactiflex | null | [
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| Res-Q ActiFLEX While research is progressing, a few examinations propose that CBD might have anxiolytic (tension decreasing) and pain relieving (torment easing) properties.For stress and nervousness, certain individuals find CBD accommodating because of its indicated capacity to cooperate with the endocannabinoid fra... | [] | [
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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": []} | Renato0402/whisper-large-v3-teste-1000 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
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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. -->
# roberta-base-airlines-news
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-airlines-news", "results": []}]} | dahe827/roberta-base-airlines-news | null | [
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| roberta-base-airlines-news
==========================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8968
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adityaprakhar/LILT_April1_first_dataset_retrained | 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": []} | saransh03sharma/mintrec-mistral-2-7b-50 | null | [
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text-generation | transformers | # [MaziyarPanahi/AlloyingotneoyYam-7B-GGUF](https://huggingface.co/MaziyarPanahi/AlloyingotneoyYam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/AlloyingotneoyYam-7B](https://huggingface.co/automerger/AlloyingotneoyYam-7B)
## Description
[MaziyarPanahi/Alloying... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "base_model:nlpguy/AlloyIngotNeoY", "base_model:mayacinka/yam-jom-7B", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "regi... | MaziyarPanahi/AlloyingotneoyYam-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/AlloyingotneoyYam-7B
## Description
MaziyarPanahi/AlloyingotneoyYam-7B-GGUF contains GGUF format model files for automerger/AlloyingotneoyYam-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how t... | [
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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": []} | areegtarek/idefics-9b-instruct-threesplitsthreeepochs-1 | 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-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-160
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-160", "results": []}]} | rajevan123/STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-160 | null | [
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| STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-160
===============================================================
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: 2.2762
* Accuracy: 0.7247
Model descri... | [
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text-generation | transformers |
# Strangemerges_32T3qm7xp-7B
Strangemerges_32T3qm7xp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Gille/StrangeMerges_32-7B-slerp
- model: nlpguy/T3QM7XP
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Strangemerges_32T3qm7xp-7B | null | [
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|
# Strangemerges_32T3qm7xp-7B
Strangemerges_32T3qm7xp-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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. -->
# gpt2-sft-port
This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the Huggi... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "JackFram/llama-68m", "model-index": [{"name": "gpt2-sft-port", "results": []}]} | pkarypis/gpt2-sft-port | null | [
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| gpt2-sft-port
=============
This model is a fine-tuned version of JackFram/llama-68m on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1059
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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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. -->
# distilbert-base-uncased-qa-finetune
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-qa-finetune", "results": []}]} | BlueDruddigon/distilbert-base-uncased-qa-finetune | null | [
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|
# distilbert-base-uncased-qa-finetune
This model is a fine-tuned version of distilbert/distilbert-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 procedu... | [
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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. -->
# gpt-neo-125m-cs-finetuning-50000-2
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-50000-2", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-50000-2 | null | [
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| gpt-neo-125m-cs-finetuning-50000-2
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2361
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
static quants of https://huggingface.co/Virt-io/Helen-v1_7B
<!-- 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 Discussi... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "roleplay"], "base_model": "Virt-io/Helen-v1_7B", "quantized_by": "mradermacher"} | mradermacher/Helen-v1_7B-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.
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-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | 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. -->
# sinhala-llama-2-7b-chat-hf
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousRe... | {"language": ["si"], "license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["Thimira/sinhala-llama-2-data-format"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "pipeline_tag": "text-generation", "model-index": [{"name": "sinhala-llama-2-7b-chat-hf", "results": [... | Thimira/sinhala-llama-2-7b-chat-hf | null | [
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"base_model:NousResearch/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-01T04:59:40+00:00 | [] | [
"si"
] | TAGS
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|
# sinhala-llama-2-7b-chat-hf
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the Thimira/sinhala-llama-2-data-format dataset.
## Model description
This is a model for Sinhala language text generation which is fine-tuned from the base llama-2-7b-chat-hf model.
Currently the capabilities o... | [
"# sinhala-llama-2-7b-chat-hf\n\nThis model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the Thimira/sinhala-llama-2-data-format dataset.",
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null | transformers | # lemonade-rebase-32k-7B
This is Q8_0 GGUF quant of a rebase merge using the formula from [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3) on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta (re)set to 40K. No other... | {"license": "cc-by-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "cgato/Thespis-7b-v0.5-SFTTest-2Epoch", "NeverSleep/Noromaid-7B-0.4-DPO", "NurtureAI/neural-chat-7b-v3-1-16k", "cgato/Thespis-CurtainCall-7b-v0.2.2", "tavtav/eros-7b-test"]} | grimjim/lemonade-rebase-32k-7B-GGUF | null | [
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"base_model:cgato/Thespis-CurtainCall-7b-v0.2.... | null | 2024-04-01T05:05:11+00:00 | [
"2212.04089"
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This is Q8_0 GGUF quant of a rebase merge using the formula from KatyTheCutie/LemonadeRP-4.5.3 on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta (re)set to 40K. No other changes were made.
This is a merge of pre-trained lang... | [
"# lemonade-rebase-32k-7B\n\nThis is Q8_0 GGUF quant of a rebase merge using the formula from KatyTheCutie/LemonadeRP-4.5.3 on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta (re)set to 40K. No other changes were made.\n\nThis is a merge of pre-tra... | [
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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. -->
# tt_chatbot
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
## Model desc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "tt_chatbot", "results": []}]} | kurianu/tt_chatbot | null | [
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"generated_from_trainer",
"base_model:t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T05:06:33+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# tt_chatbot
This model is a fine-tuned version of t5-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 following hype... | [
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"## Training and evaluation data\n\nMore information needed",
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null | transformers | ## About
static quants of https://huggingface.co/grimjim/lemonade-rebase-32k-7B
<!-- 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 Communi... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "grimjim/lemonade-rebase-32k-7B", "quantized_by": "mradermacher"} | mradermacher/lemonade-rebase-32k-7B-GGUF | null | [
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"en",
"base_model:grimjim/lemonade-rebase-32k-7B",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T05:09:10+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-grimjim/lemonade-rebase-32k-7B #license-cc-by-4.0 #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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] |
null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/MarsupialAI/KitchenSink_103b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/KitchenSink_103b-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBlo... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["rp", "erp", "chat", "storywriting"], "base_model": "MarsupialAI/KitchenSink_103b", "quantized_by": "mradermacher"} | mradermacher/KitchenSink_103b-i1-GGUF | null | [
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"base_model:MarsupialAI/KitchenSink_103b",
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"region:us"
] | null | 2024-04-01T05:09:50+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #rp #erp #chat #storywriting #en #base_model-MarsupialAI/KitchenSink_103b #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": []} | Renato0402/whisper-large-v3-teste-100 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T05:10:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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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. -->
# symptom-check
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It ac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "symptom-check", "results": []}]} | akhileshav8/symptom-check | null | [
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"base_model:distilgpt2",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T05:11:35+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
| symptom-check
=============
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6910
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/MarsupialAI/LaDameBlanche-103b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/LaDameBlanche-103b-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/Th... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["rp", "erp", "chat", "storywriting", "not-for-all-audiences", "nsfw", "rotating-stack-merge"], "base_model": "MarsupialAI/LaDameBlanche-103b", "quantized_by": "mradermacher"} | mradermacher/LaDameBlanche-103b-i1-GGUF | null | [
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"en"
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #rp #erp #chat #storywriting #not-for-all-audiences #nsfw #rotating-stack-merge #en #base_model-MarsupialAI/LaDameBlanche-103b #license-other #endpoints_compatible #region-us \n"
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] |
token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MikeGreen2710/v1444_model_full_pass | null | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T05:13:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **HalfCheetah-v4**
This is a trained model of a **PPO** agent playing **HalfCheetah-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["HalfCheetah-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "HalfCheetah-v4", "type": "HalfCh... | AlinaKozyreva/HalfCheetah-v4_3 | null | [
"stable-baselines3",
"HalfCheetah-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T05:14:44+00:00 | [] | [] | TAGS
#stable-baselines3 #HalfCheetah-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing HalfCheetah-v4
This is a trained model of a PPO agent playing HalfCheetah-v4
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# outputs_mistral-7b-trial-on-english
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](https://huggin... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "outputs_mistral-7b-trial-on-english", "results": []}]} | hanifsyarubany10/outputs_mistral-7b-trial-on-english | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:ybelkada/Mistral-7B-v0.1-bf16-sharded",
"region:us"
] | null | 2024-04-01T05:20:20+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# outputs_mistral-7b-trial-on-english
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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null | transformers |
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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 | # [MaziyarPanahi/Experiment28Yam-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment28Yam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment28Yam-7B](https://huggingface.co/automerger/Experiment28Yam-7B)
## Description
[MaziyarPanahi/Experiment28Yam-... | {"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-slerp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-genera... | MaziyarPanahi/Experiment28Yam-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment28Yam-7B
## Description
MaziyarPanahi/Experiment28Yam-7B-GGUF contains GGUF format model files for automerger/Experiment28Yam-7B.
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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. -->
# fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_96
This model is a fine-tuned version of [joelniklaus/legal... | {"license": "cc", "tags": ["generated_from_trainer"], "base_model": "joelniklaus/legal-swiss-roberta-large", "model-index": [{"name": "fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_96", "results": []}]} | mhmmterts/fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_96 | null | [
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# fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_96
This model is a fine-tuned version of joelniklaus/legal-swiss-roberta-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More in... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
This model was trained from scratch on an unknown dataset.
It achieves the following re... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "RoBERTa-large-PM-M3-Voc-hf-finetuned-ner", "results": []}]} | yokesh456/RoBERTa-large-PM-M3-Voc-hf-finetuned-ner | null | [
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# RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# style-irs-from-bloom1b
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on th... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "facebook/opt-350m", "model-index": [{"name": "style-irs-from-bloom1b", "results": []}]} | RuoxiL/style-irs-from-bloom1b | null | [
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"base_model:facebook/opt-350m",
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"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-350m #license-other #region-us
|
# style-irs-from-bloom1b
This model is a fine-tuned version of facebook/opt-350m on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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text-generation | transformers |
## Base Model:
We made a LLM model with davidkim205/nox-solar-10.7b-v4
## Model Description
We use QLoRA(256, 64) and NEFTune on LLM Fine-tuning
lr = 1e-5, NEFTune = 3
## Train Detail
Our changed private data used, 5 epoch train, and parameter changed
## Others
We are making LLM model for Kolon ! | {"language": ["ko", "en"], "license": "cc-by-nc-4.0"} | gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v1.0 | null | [
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#transformers #pytorch #llama #text-generation #conversational #ko #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Base Model:
We made a LLM model with davidkim205/nox-solar-10.7b-v4
## Model Description
We use QLoRA(256, 64) and NEFTune on LLM Fine-tuning
lr = 1e-5, NEFTune = 3
## Train Detail
Our changed private data used, 5 epoch train, and parameter changed
## Others
We are making LLM model for Kolon ! | [
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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": []} | Renato0402/whisper-large-v2-teste-100 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
<div align="center">
<img src="./figures/Eurus-logo.png" width="200px">
**Eurus: A suit of open-source LLMs optimized for reasoning**
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
- 📜 [Paper](https://arxiv.org/abs/2404.02078)
- 🤗 [E... | {"license": "apache-2.0", "tags": ["reasoning"], "datasets": ["openbmb/UltraInteract_sft", "stingning/ultrachat", "openchat/openchat_sharegpt4_dataset", "Open-Orca/OpenOrca"], "pipeline_tag": "text-generation"} | openbmb/Eurus-7b-sft | null | [
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<div align="center">
<img src="./figures/URL" width="200px">
Eurus: A suit of open-source LLMs optimized for reasoning
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
- Paper
- Eurus Collection
- UltraInteract
- SFT
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/s2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# buffettgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "buffettgpt-ft", "results": []}]} | Siva2022/buffettgpt-ft | null | [
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"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T05:35:52+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| buffettgpt-ft
=============
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8966
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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_13 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_14 | null | [
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"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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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-170
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-170", "results": []}]} | rajevan123/STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-170 | null | [
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"region:us"
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| STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-170
===============================================================
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: 2.3403
* Accuracy: 0.7285
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: 20",
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text-generation | transformers |
## Model details
This model is trained by fine-tuning LLaVA-1.6-34b on multimodal instruction-following data, with a focus on enhancing detail capturing and summarizing.
It is an auto-regressive language model based on the transformer architecture.
Due to unclean conversation data, the model will attempt to repeat ... | {"license": "apache-2.0", "inference": false} | nyanko7/llava-v1.6-34b-finetune | null | [
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|
## Model details
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Due to unclean conversation data, the model will attempt to repeat ... | [
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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. -->
# gpt-neo-125m-cs-finetuning-50000-3
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-50000-3", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-50000-3 | null | [
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| gpt-neo-125m-cs-finetuning-50000-3
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2329
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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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": []} | hwkwon/S-SOLAR-10.7B-v2.0 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers | ## About
static quants of https://huggingface.co/ibivibiv/athena-120b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/athena-120b-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge"], "base_model": "ibivibiv/athena-120b", "quantized_by": "mradermacher"} | mradermacher/athena-120b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# entasumm-mT5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown datas... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "entasumm-mT5", "results": []}]} | balaramas/entasumm-mT5 | null | [
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|
# entasumm-mT5
This model is a fine-tuned version of google/mt5-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 foll... | [
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object-detection | 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. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50_finetuned_cppe5", "results": []}]} | zhuchi76/detr-resnet-50_finetuned_cppe5 | null | [
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|
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 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... | [
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text-generation | transformers |
### Model Description
Finetuning based on [yanolja/EEVE-Korean-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-10.8B-v1.0).
### Training Method
Using Deepspeed, Accelerate, TRL etc.
### Datasets
TBA | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | hkss/hk-SOLAR-10.7B-v2.0 | null | [
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Finetuning based on yanolja/EEVE-Korean-10.8B-v1.0.
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text-to-image | diffusers | # LAI-ImageGeneration-v2
<Gallery />
## Model description
Trained on the DS-2 Dataset, without a Triggerword
## Download model
Weights for this model are available in Safetensors format.
[Download](https://huggingface.co/Artples/LAI-ImageGeneration-vSDXL-2/tree/main) them in the Files & versions tab.
| {"license": "openrail++", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "A realistic 3D rendering of a mysterious, ancient artifact. The artifact appears to be made from a mix of gold and stone, featuring intricate carvings and symbols that suggest a lost ci... | Artples/LAI-ImageGeneration-vSDXL-2 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #has_space #region-us
| # LAI-ImageGeneration-v2
<Gallery />
## Model description
Trained on the DS-2 Dataset, without a Triggerword
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | null | # github_pull_request_classifier
## This is a model created for use in the diplom of "Разработка платформы ретроспективного анализа программных библиотек на языке Python"
## the model is focused to solve task of classification of commits of pull request to look
## how changes the evolution of libraries of python in t... | {} | camilin29/github_pull_request_classifier | null | [
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#region-us
| # github_pull_request_classifier
## This is a model created for use in the diplom of "Разработка платформы ретроспективного анализа программных библиотек на языке Python"
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null | null | # Model Card for *MineDreamer* 🔥
<!-- Provide a quick summary of what the model is/does. -->
[](https://arxiv.org/abs/2403.12037)
[![project page](https://img.shields.io/badge/Play%20with%20MineDreamer%21-MineDreamer%20project%20page-lightblue... | {"language": ["en", "zh"], "license": "apache-2.0", "datasets": ["Zhoues/Goal-Drift-Dataset"]} | Zhoues/MineDreamer-InstructPix2Pix-Unet | null | [
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| # Model Card for *MineDreamer*
 and diffusion models!
<p align="center">
<img src="URL width=93%>
<p>
*MineDreamer* ... | [
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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. -->
# gpt-neo-125m-cs-finetuning-60000-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-60000-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-60000-1 | null | [
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| gpt-neo-125m-cs-finetuning-60000-1
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2061
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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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. -->
# dental_classification_model_010424
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "dental_classification_model_010424", "results": []}]} | vishnu027/dental_classification_model_010424 | null | [
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| dental\_classification\_model\_010424
=====================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5797
* Accuracy: 0.8354
Model description
-----------------
More informati... | [
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text-generation | transformers | # [MaziyarPanahi/PasticheAlloyingotneoy-7B-GGUF](https://huggingface.co/MaziyarPanahi/PasticheAlloyingotneoy-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/PasticheAlloyingotneoy-7B](https://huggingface.co/automerger/PasticheAlloyingotneoy-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:CorticalStack/pastiche-crown-clown-7b-dare-dpo", "base_model:nlpguy/AlloyIngotNeoY", "license:apache-2.0", "aut... | MaziyarPanahi/PasticheAlloyingotneoy-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/PasticheAlloyingotneoy-7B
## Description
MaziyarPanahi/PasticheAlloyingotneoy-7B-GGUF contains GGUF format model files for automerger/PasticheAlloyingotneoy-7B.
## How to use
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null | null |
mistral quantized model for pizza order | {"license": "mit"} | sachin19566/mistral-pizza | 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
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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": []} | dosa777/gemma-kmslab_qa-Finetune-7b | null | [
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# Model Card for Model ID
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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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. -->
# engusumm-mT5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown datas... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "engusumm-mT5", "results": []}]} | balaramas/engusumm-mT5 | null | [
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|
# engusumm-mT5
This model is a fine-tuned version of google/mt5-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
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | kristinashemet/Enlighten_Instruct | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_recommendation_sports_equipment_english
This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-large", "model-index": [{"name": "t5_recommendation_sports_equipment_english", "results": []}]} | subhamiiita/t5_recommendation_sports_equipment_english | null | [
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| t5\_recommendation\_sports\_equipment\_english
==============================================
This model is a fine-tuned version of t5-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3870
* Rouge1: 62.6984
* Rouge2: 57.1429
* Rougel: 62.6984
* Rougelsum: 62.6984
* Gen L... | [
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audio-to-audio | speechbrain |
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# SepFormer trained on WHAMR! (16k sampling frequency)
This repository provides all the necessary tools to pe... | {"language": "en", "license": "apache-2.0", "tags": ["audio-to-audio", "audio-source-separation", "Source Separation", "Speech Separation", "WHAM!", "SepFormer", "Transformer", "pytorch", "speechbrain"], "metrics": ["SI-SNRi", "SDRi"]} | molto/sepformer-whamr16k | null | [
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|
SepFormer trained on WHAMR! (16k sampling frequency)
====================================================
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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 Large Ru - Korus Terms
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisp... | {"language": ["ru"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["VGubaydulin/KorusTerms"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper Large Ru - Korus Terms", "results": []}]} | VGubaydulin/whisper-medium-korus-terms | null | [
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|
# Whisper Large Ru - Korus Terms
This model is a fine-tuned version of openai/whisper-medium on the Korus Terms 0.1 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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text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-32B | null | [
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] | null | 2024-04-01T06:19:21+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #pretrained #conversational #en #license-other #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | [
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"## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:\n\n* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models,... | [
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text-generation | transformers |
# Qwen1.5-32B-Chat-GPTQ-Int4
> [!Warning]
> <div align="center">
> <b>
> 🚨 Please do not deploy this model with vLLM temporarily. Instead we advise you to use the AWQ model.
> </b>
> </div>
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat-GPTQ-Int4/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-32B-Chat-GPTQ-Int4 | null | [
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"text-generation-inference",
"4-bit",
"region:us"
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#transformers #safetensors #qwen2 #text-generation #chat #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Qwen1.5-32B-Chat-GPTQ-Int4
> [!Warning]
> <div align="center">
> <b>
> Please do not deploy this model with vLLM temporarily. Instead we advise you to use the AWQ model.
> </b>
> </div>
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large am... | [
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null | transformers | ## About
static quants of https://huggingface.co/allknowingroger/LadybirdGonzo-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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Badgids/Gonzo-Chat-7B", "bobofrut/ladybird-base-7B-v8"], "base_model": "allknowingroger/LadybirdGonzo-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/LadybirdGonzo-7B-slerp-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | > [!IMPORTANT]
> This model may buggy. Final version is realease. Thank you for using this model.
>
> For TextGenWebUI user only: Use Transformers to infer/use for all version of this series. I have just known that there is a issue in llamaccp in TextGenWebUI. Please don't use the GGUF version because it have some bug... | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "Roleplay"], "base_model": ["Sao10K/Frostwind-v2.1-m7", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "macadeliccc/WestLake-7B-v2-laser-truthy-dpo"]} | Alsebay/HyouKan-3x7B | null | [
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> This model may buggy. Final version is realease. Thank you for using this model.
>
> For TextGenWebUI user only: Use Transformers to infer/use for all version of this series. I have just known that there is a issue in llamaccp in TextGenWebUI. Please don't use the GGUF version because it have some bug... | [
"# Experimental 3x7B model\n\nA Experimental MoE Model that custom for all-rounded Roleplay. Well understand Character Card and high logic.\n\nThank all the origin model author: Sao10K, SanjiWatsuki, macadeliccc, for create those model. Pardon me that I want hide the recipe. :(\n\nIf you want 32k context length cap... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw2.5 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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text-generation | transformers |
# Occiglot-7B-it-en-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-EU5-Instruct** is a the ... | {"language": ["en", "it"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-it-en-instruct-hf | null | [
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| !image/png
Occiglot-7B-it-en-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-EU5-Instruct is a the instruct version of occiglot-7b-it-en, a generative language model with 7B parameters supporting the top-5 EU languages (English, Spanish, French, German, a... | [
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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": []} | lxsure/Sniper_20 | null | [
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"arxiv:1910.09700",
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] | null | 2024-04-01T06:27:15+00:00 | [
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|
# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart_baseline_peft
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart_baseline_peft", "results": []}]} | jordanfan/bart_baseline_peft | null | [
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| bart\_baseline\_peft
====================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0163
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": []} | lgodwangl/new_08m | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ZeroDer/dummy-model | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Vignesh-M/wav2vec2-tamil-finetuned-300 | null | [
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# Model Card for Model ID
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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": []} | hs2496/mistralai-En-test | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Occiglot-7B-ES-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-ES-EN-Instruct** is a th... | {"language": ["en", "es"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-es-en-instruct-hf | null | [
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#transformers #safetensors #mistral #text-generation #conversational #en #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/png
Occiglot-7B-ES-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-ES-EN-Instruct is a the instruct version of occiglot-7b-es-en, a generative language model with 7B parameters supporting the Spanish and English and trained by the Occiglot Resea... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/m_302 | null | [
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"arxiv: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-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-pipe-roberta-base
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "STS-Conventional-Fine-Tuning-pipe-roberta-base", "results": []}]} | rajevan123/STS-Conventional-Fine-Tuning-pipe-roberta-base | null | [
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| STS-Conventional-Fine-Tuning-pipe-roberta-base
==============================================
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: 1.9623
* Accuracy: 0.7210
Model description
-----------------
More inf... | [
"### 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: 15",
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text-generation | transformers |
# Occiglot-7B-FR-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-FR-EN-Instruct** is a th... | {"language": ["en", "fr"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-fr-en-instruct-hf | null | [
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#transformers #safetensors #mistral #text-generation #conversational #en #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/png
Occiglot-7B-FR-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-FR-EN-Instruct is a the instruct version of occiglot-7b-fr-en, a generative language model with 7B parameters supporting the French and English and trained by the Occiglot Resear... | [
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null | transformers | ## About
static quants of https://huggingface.co/Ichsan2895/Merak-7B-v4
<!-- 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 Discu... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "datasets": ["wikipedia", "Ichsan2895/OASST_Top1_Indonesian", "Ichsan2895/alpaca-gpt4-indonesian"], "base_model": "Ichsan2895/Merak-7B-v4", "quantized_by": "mradermacher"} | mradermacher/Merak-7B-v4-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text2text-generation | transformers |
<!-- 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. -->
# enbnsumm-mT5-crossSum
This model is a fine-tuned version of [csebuetnlp/mT5_m2o_hindi_crossSum](https://huggingface.co/csebuetnl... | {"language": ["en"], "tags": ["generated_from_trainer"], "base_model": "csebuetnlp/mT5_m2o_hindi_crossSum", "model-index": [{"name": "enbnsumm-mT5-crossSum", "results": []}]} | balaramas/enbnsumm-mT5-crossSum | null | [
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"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"en",
"base_model:csebuetnlp/mT5_m2o_hindi_crossSum",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T06:36:19+00:00 | [] | [
"en"
] | TAGS
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|
# enbnsumm-mT5-crossSum
This model is a fine-tuned version of csebuetnlp/mT5_m2o_hindi_crossSum on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers |
# PrometheusLaser-7B-slerp
PrometheusLaser-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [AiMavenAi/Prometheus-1.3](https://huggingface.co/AiMavenAi/Prometheus-1.3)
* [CultriX/NeuralTrixlaser-bf16](https://hug... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AiMavenAi/Prometheus-1.3", "CultriX/NeuralTrixlaser-bf16"], "base_model": ["AiMavenAi/Prometheus-1.3", "CultriX/NeuralTrixlaser-bf16"]} | allknowingroger/PrometheusLaser-7B-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"AiMavenAi/Prometheus-1.3",
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"base_model:CultriX/NeuralTrixlaser-bf16",
"license:apache-2.0",
"autotrain_compatible",
"end... | null | 2024-04-01T06:39:13+00:00 | [] | [] | TAGS
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# PrometheusLaser-7B-slerp
PrometheusLaser-7B-slerp is a merge of the following models using LazyMergekit:
* AiMavenAi/Prometheus-1.3
* CultriX/NeuralTrixlaser-bf16
## Configuration
## Usage
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-shar... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-50epochs-LoRA-FreedomIntelligence-indo-2e-4", "results": []}]} | hanifsyarubany10/mistral-7b-50epochs-LoRA-FreedomIntelligence-indo-2e-4 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:ybelkada/Mistral-7B-v0.1-bf16-sharded",
"region:us"
] | null | 2024-04-01T06:39:16+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
"# mistral-7b-50epochs-LoRA-FreedomIntelligence-indo-2e-4\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.",
"## Model description\n\nMore information needed",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - ideepankarsharma2003/sony_headphones_Lora
<Gallery />
## Model description
These are ideepanka... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", ... | ideepankarsharma2003/sony_headphones_Lora | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - ideepankarsharma2003/sony_headphones_Lora
<Gallery />
## Model description
These are ideepankarsharma2003/sony_headphones_Lora LoRA adaption weights for stabilityai/stable-diffusion-2.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VA... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw3 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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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
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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": []} | meerasreehari/model1000 | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sajjo/w2v-bert-2.0-hi-colab-CV16.0 | null | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v4
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v4 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`huggy_dor... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a TOK emoji dressed as an easter bunny", ... | linoyts/huggy_dora_edm_v4 | null | [
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|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v4
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v4 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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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. -->
# results
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "results", "results": []}]} | yogeshwarp/results | null | [
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|
# results
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** philmui
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | philmui/Mistral-7B-Summarization-QLoRA | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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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. -->
# gpt-neo-125m-cs-finetuning-60000-2
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-60000-2", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-60000-2 | null | [
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| gpt-neo-125m-cs-finetuning-60000-2
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2236
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers | # [MaziyarPanahi/CalmeInex12-7B-GGUF](https://huggingface.co/MaziyarPanahi/CalmeInex12-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/CalmeInex12-7B](https://huggingface.co/automerger/CalmeInex12-7B)
## Description
[MaziyarPanahi/CalmeInex12-7B-GGUF](https://hug... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "conversational", "base_model:MSL7/INEX12-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-... | MaziyarPanahi/CalmeInex12-7B-GGUF | null | [
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#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #conversational #base_model-MSL7/INEX12-7b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #base_mod... | # MaziyarPanahi/CalmeInex12-7B-GGUF
- Model creator: automerger
- Original model: automerger/CalmeInex12-7B
## Description
MaziyarPanahi/CalmeInex12-7B-GGUF contains GGUF format model files for automerger/CalmeInex12-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### ... | [
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"## Description\nMaziyarPanahi/CalmeInex12-7B-GGUF contains GGUF format model files for automerger/CalmeInex12-7B.",
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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": []} | jisukim8873/mistral-7B-alpaca-case-0-3 | null | [
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"region:us"
] | null | 2024-04-01T06:48:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-generation | peft |
# Model Card for Model ID
This PEFT weight is for predicting BTC price.
Disclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.
## Model Details
Training data source: BTC/USD provided by [Binance](h... | {"language": ["en"], "license": "llama2", "library_name": "peft", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "model_name": "Llama 2 7B Chat", "base_model": "DavidLanz/Llama2-tw-7B-v2.0.1-chat", "inference": false, "model_creator": "Meta Llama 2", "model_type": "llama", "pipeline_tag": "text-generation... | DavidLanz/llama2_7b_taiwan_btc_qlora | null | [
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|
# Model Card for Model ID
This PEFT weight is for predicting BTC price.
Disclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.
## Model Details
Training data source: BTC/USD provided by Binance.
#... | [
"# Model Card for Model ID\n\nThis PEFT weight is for predicting BTC price.\n\nDisclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.",
"## Model Details\n\nTraining data source: BTC/USD provided ... | [
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