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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. -->
# flan-t5-small-sft-RM
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "google/flan-t5-small", "model-index": [{"name": "flan-t5-small-sft-RM", "results": []}]} | ShawnMenz/flan-t5-small-sft-RM | null | [
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| flan-t5-small-sft-RM
====================
This model is a fine-tuned version of google/flan-t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4070
* Precision: 0.7995
* Recall: 0.8151
* F1: 0.8072
* Accuracy: 0.8229
Model description
-----------------
More informat... | [
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text-generation | null |
## Exllama v2 Quantizations of Zebrafish-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains a... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["liminerity/M7-7b", "rwitz/experiment26-truthy-iter-0"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Zebrafish-7B-exl2 | null | [
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| Exllama v2 Quantizations of Zebrafish-7B
----------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the main one c... | [] | [
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] |
text-generation | transformers |
# Zebrafish-dare-7B
Zebrafish-dare-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [rwitz/experiment26-truthy-iter-0](https://huggingface.co/rwitz/experiment26-truthy-iter-0)
## 🧩 Configuration
```yaml
models:
- mo... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["rwitz/experiment26-truthy-iter-0"]} | mlabonne/Zebrafish-dare-7B | null | [
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|
# Zebrafish-dare-7B
Zebrafish-dare-7B is a merge of the following models using LazyMergekit:
* rwitz/experiment26-truthy-iter-0
## Configuration
## Usage
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text-generation | null |
## Llamacpp Quantizations of Zebrafish-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2536">b2536</a> for quantization.
Original model: https://huggingface.co/mlabonne/Zebrafish-7B
Download a file (not the whole branch) ... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["liminerity/M7-7b", "rwitz/experiment26-truthy-iter-0"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Zebrafish-7B-GGUF | null | [
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| Llamacpp Quantizations of Zebrafish-7B
--------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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text-generation | transformers | # [MaziyarPanahi/Experiment27Shadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment27Shadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment27Shadow-7B](https://huggingface.co/automerger/Experiment27Shadow-7B)
## Description
[MaziyarPanahi/Expe... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "arxiv:2311.03099", "arxiv:2306.01708", "base_model:CorticalStack/shadow-clown-7B-dare", "base_model:yam-peleg/Experiment27-7B", "autotrain_compatible", ... | MaziyarPanahi/Experiment27Shadow-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment27Shadow-7B
## Description
MaziyarPanahi/Experiment27Shadow-7B-GGUF contains GGUF format model files for automerger/Experiment27Shadow-7B.
## How to use
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
OpenLLaMA 7Bv2 is a cutting-edge language model, trained with a focus on delivering high-quality, contextually relevant text predictions. It leverages a diverse composite dataset that includes web-crawled data, scholarly articles, and a wide range of literature and que... | {} | m-a-p/OpenLLaMA-Reproduce-100.66B | null | [
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#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # OpenLLaMA 7Bv2 Model Card
## Model Description
OpenLLaMA 7Bv2 is a cutting-edge language model, trained with a focus on delivering high-quality, contextually relevant text predictions. It leverages a diverse composite dataset that includes web-crawled data, scholarly articles, and a wide range of literature and que... | [
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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": []} | unrented5443/crg9jin | null | [
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text-generation | transformers |
# Model Card for Model ID
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.9948348999023438
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f1_micro: 0.5823986194995686
f1_weighted: 0.5233223208450835
precision_macro: 0.2973178657776674
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precision_weighted: 0.5462756602... | {"tags": ["autotrain", "image-classification"], "datasets": ["xblock-social-screenshots-2/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg",... | howdyaendra/xblock-social-screenshots-2 | null | [
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- Problem type: Image Classification
## Validation Metrics
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null | null |
🤡 This model was "released" on April 1st, 2024. | {"language": ["en"]} | NeuML/spacetimellm | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** projectbaraat
- **License:** apache-2.0
- **Finetuned from model :** baarat-Kan-QA
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/imag... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "baarat-Kan-QA"} | projectbaraat/kannada-QA-0.1 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lxsure/Sniper_23 | 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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "another", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean_... | TheSuperGroot/another | null | [
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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/sl2 | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v27 | null | [
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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. -->
# GUE_prom_prom_300_notata-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_15M-L8 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_15M-L8
========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluation set:
*... | [
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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. -->
# GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_15M-L32
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluation set:
... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.8_da0.2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.8_da0.2", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.8_da0.2 | null | [
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#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.8\_da0.2
==========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3279
* Wer: 0.2674
Model description
-----------------
More information neede... | [
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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. -->
# GUE_prom_prom_300_notata-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_15M-L1 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_15M-L1
========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluation set:
*... | [
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text-generation | transformers | <style>
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h1{
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<div class = aa>
<h1>素质超级低下的模型！</h1>
<p>使用优美中国话数据集微调！</p>
<h1>格式</h1>
<p>使用Qwen/ChatML格式与其交流！</p>
<h1>底模</h1>
<p>Qwen1.5-7B-Chat</p>
<h1>为啥模型卡风格如此抽象?</h1>
<p>震撼！</p>
</div> | {"language": ["zh"], "datasets": ["Seikaijyu/Beautiful-Chinese"], "pipeline_tag": "text-generation"} | Kas1o/SuZhiDiXia-7B | null | [
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] | null | 2024-04-01T15:52:36+00:00 | [] | [
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color:green;
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h1{
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background-color: green;
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</style>
<div class = aa>
<h1>素质超级低下的模型！</h1>
<p>使用优美中国话数据集微调！</p>
<h1>格式</h1>
<p>使用Qwen/ChatML格式与其交流！</p>
<h1>底模</h1>
<p>Qwen1.5-7B-Chat</p>
<h1>为啥模型卡风格如此抽象?</h1>
<p>震撼！</p>
</div> | [] | [
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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-instruct-v0.2-dpo-multilingual-mix-1st-apr-final
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["nthakur/multilingual-truthy-v0.1-dpo-pairs", "nthakur/multilingual-orca-dpo-pairs", "nthakur/multilingual-mistral-neg-orca-dpo-pairs"], "base_model": "mistralai/Mistral-7B-Instruct-v0.... | nthakur/mistral-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final | null | [
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"base_model:mistralai/Mistral-7B-Instruc... | null | 2024-04-01T15:52:55+00:00 | [] | [] | TAGS
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|
# mistral-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nthakur/multilingual-truthy-v0.1-dpo-pairs, the nthakur/multilingual-orca-dpo-pairs and the nthakur/multilingual-mistral-neg-orca-dpo-pairs datasets.
It achieves the followin... | [
"# mistral-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nthakur/multilingual-truthy-v0.1-dpo-pairs, the nthakur/multilingual-orca-dpo-pairs and the nthakur/multilingual-mistral-neg-orca-dpo-pairs datasets.\nIt achieves the fol... | [
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null | keras |
# Music-Squid
> Music **S**emantically **Qu**alitative **Id**entification
The final aim of this project is to get a way to embed audio files (music) into an embedding which makes semantic sense.
| {"license": "mit", "langage": ["en"]} | calixtemayoraz/music-squid | null | [
"keras",
"license:mit",
"region:us"
] | null | 2024-04-01T15:54:54+00:00 | [] | [] | TAGS
#keras #license-mit #region-us
|
# Music-Squid
> Music Semantically Qualitative Identification
The final aim of this project is to get a way to embed audio files (music) into an embedding which makes semantic sense.
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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": []} | Ryzhtus/mistral-7b-v0.1-function-calling-chatml | 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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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": []} | Banach311/RBarcenas-Mistral-7b-AbstractiveQA | null | [
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null | transformers | ## About
static quants of https://huggingface.co/MarsupialAI/Yeet_51b_200k
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Yeet_51b_200k-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "MarsupialAI/Yeet_51b_200k", "license_name": "yi-other", "quantized_by": "mradermacher"} | mradermacher/Yeet_51b_200k-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Kakoli/dialogue_Summary_peft | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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 |
<!-- 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-wikitext2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "gpt2-wikitext2", "results": []}]} | Optisailor12/gpt2-wikitext2 | null | [
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"text-generation-inference",
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| gpt2-wikitext2
==============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.1116
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers |
# NeuralStock-7B
NeuralStock-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
* [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_3... | {"tags": ["merge", "mergekit", "lazymergekit", "liminerity/M7-7b", "Gille/StrangeMerges_32-7B-slerp", "automerger/YamShadow-7B"], "base_model": ["liminerity/M7-7b", "Gille/StrangeMerges_32-7B-slerp", "automerger/YamShadow-7B"]} | Kukedlc/NeuralStock-7B | null | [
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"base_model:automerger/YamShadow-7B... | null | 2024-04-01T16:04:27+00:00 | [] | [] | TAGS
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# NeuralStock-7B
NeuralStock-7B is a merge of the following models using LazyMergekit:
* liminerity/M7-7b
* Gille/StrangeMerges_32-7B-slerp
* automerger/YamShadow-7B
## Configuration
## Usage
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text-generation | transformers |
# TW3-JRGL-v1
TW3-JRGL-v1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1)
* [MTSAIR/MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "abacusai/Smaug-72B-v0.1", "MTSAIR/MultiVerse_70B"]} | paloalma/TW3-JRGL-v1 | null | [
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|
# TW3-JRGL-v1
TW3-JRGL-v1 is a merge of the following models using mergekit:
* abacusai/Smaug-72B-v0.1
* MTSAIR/MultiVerse_70B
## Configuration | [
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null | transformers | ## About
static quants of https://huggingface.co/afoland/penchant-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"], "license": "apache-2.0", "library_name": "transformers", "base_model": "afoland/penchant-7B", "quantized_by": "mradermacher"} | mradermacher/penchant-7B-GGUF | null | [
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#transformers #gguf #en #base_model-afoland/penchant-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [coffiee/s26](https://huggingface.co/coffiee/s26) as a base.
### Models Me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lxsure/Sniper_21", "coffiee/s26", "coffiee/s27"]} | Sumail/Goat_Derrick21 | null | [
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"2306.01708"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using coffiee/s26 as a base.
### Models Merged
The following models were included in the merge:
* lxsure/Sniper_21
* coffiee/s27
### Configuration
The... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.0_da1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.0_da1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.0_da1 | null | [
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.0\_da1
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2935
* Wer: 0.1709
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers | GGUF: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B-GGUF-IQ-Imatrix
# Spicy-Laymonade-7B
Well, we have Laymonade, so why not spice it up? This merge is a step into creating a new 9B.
However, I ... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": ["cgato/TheSpice-7b-v0.1.1", "ABX-AI/Laymonade-7B"]} | ABX-AI/Spicy-Laymonade-7B | null | [
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| GGUF: URL
!image/png
# Spicy-Laymonade-7B
Well, we have Laymonade, so why not spice it up? This merge is a step into creating a new 9B.
However, I did try it out, and it seemed to work pretty well.
## Merge Details
This is a merge of pre-trained language models created using mergekit.
### Merge Method
This mode... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_lora_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_lora_v1_pivotal 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 **[`h... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "a <s0><s1> emoji dressed as an easter bunny", "output": {"url": "image_0.png"}}, {"text": "a <s0><s1> emoji dressed as an easte... | linoyts/huggy_lora_v1_pivotal | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-01T16:13:18+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_lora_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_lora_v1_pivotal 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_lo... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.5_da1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.5_da1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.5_da1 | null | [
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"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T16:13:36+00:00 | [] | [] | TAGS
#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.5\_da1
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6472
* Wer: 0.1786
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | transformers | ## About
static quants of https://huggingface.co/R136a1/TimeMax-20B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/TimeMax-20B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-7... | {"language": ["en"], "library_name": "transformers", "base_model": "R136a1/TimeMax-20B", "quantized_by": "mradermacher"} | mradermacher/TimeMax-20B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:R136a1/TimeMax-20B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T16:14:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-R136a1/TimeMax-20B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | 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. -->
# GUE_prom_prom_core_all-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_15M-L8 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T16:16:33+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_15M-L8
======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation set:
* Loss:... | [
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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. -->
# GUE_prom_prom_core_all-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_15M-L1 | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T16:16:34+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_15M-L1
======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation set:
* Loss:... | [
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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. -->
# GUE_prom_prom_core_all-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_15M-L32 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T16:16:40+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_15M-L32
=======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation set:
* Los... | [
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text-generation | transformers | # [MaziyarPanahi/Inex12Experiment28-7B-GGUF](https://huggingface.co/MaziyarPanahi/Inex12Experiment28-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Inex12Experiment28-7B](https://huggingface.co/automerger/Inex12Experiment28-7B)
## Description
[MaziyarPanahi/Inex... | {"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:MSL7/INEX12-7b", "base_model:yam-peleg/Experiment28-7B", "license:apache-2.0", "autotrain_compatible", "endpoin... | MaziyarPanahi/Inex12Experiment28-7B-GGUF | null | [
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"base_model:MSL7/INEX12-7b",
"base_model:yam-peleg/Experiment28-7B",
"license:apach... | null | 2024-04-01T16:20:25+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-MSL7/INEX12-7b #base_model-yam-peleg/Experiment28-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inferenc... | # MaziyarPanahi/Inex12Experiment28-7B-GGUF
- Model creator: automerger
- Original model: automerger/Inex12Experiment28-7B
## Description
MaziyarPanahi/Inex12Experiment28-7B-GGUF contains GGUF format model files for automerger/Inex12Experiment28-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on h... | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
# Stork-7B-slerp
Stork-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [bofenghuang/vigostral-7b-chat](https://huggingface.co/bofenghuang/vigostral-7b-chat)
* [jpacifico/French-Alpaca-7B-Instruct-beta](https://h... | {"language": ["fr"], "tags": ["merge", "mergekit", "lazymergekit", "bofenghuang/vigostral-7b-chat", "jpacifico/French-Alpaca-7B-Instruct-beta"], "base_model": ["bofenghuang/vigostral-7b-chat", "jpacifico/French-Alpaca-7B-Instruct-beta"]} | ntnq/Stork-7B-slerp | null | [
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# Stork-7B-slerp
Stork-7B-slerp is a merge of the following models using LazyMergekit:
* bofenghuang/vigostral-7b-chat
* jpacifico/French-Alpaca-7B-Instruct-beta
## Configuration
## Usage
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
OpenLLaMA 7Bv2 is a cutting-edge language model, trained with a focus on delivering high-quality, contextually relevant text predictions. It leverages a diverse composite dataset that includes web-crawled data, scholarly articles, and a wide range of literature and que... | {} | m-a-p/OpenLLaMA-Reproduce-1023.41B | null | [
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| # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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| # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
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text-generation | transformers | # OpenLLaMA 7Bv2 Model Card
## Model Description
OpenLLaMA 7Bv2 is a cutting-edge language model, trained with a focus on delivering high-quality, contextually relevant text predictions. It leverages a diverse composite dataset that includes web-crawled data, scholarly articles, and a wide range of literature and que... | {} | m-a-p/OpenLLaMA-Reproduce-1191.18B | null | [
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"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T16:24:14+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # OpenLLaMA 7Bv2 Model Card
## Model Description
OpenLLaMA 7Bv2 is a cutting-edge language model, trained with a focus on delivering high-quality, contextually relevant text predictions. It leverages a diverse composite dataset that includes web-crawled data, scholarly articles, and a wide range of literature and que... | [
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text-generation | transformers |
# JupiterMerge-7B-slerp
JupiterMerge-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/Jupiter-k-7B-slerp](https://huggingface.co/Kukedlc/Jupiter-k-7B-slerp)
* [Gille/StrangeMerges_21-7B-slerp](https://hu... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Kukedlc/Jupiter-k-7B-slerp", "Gille/StrangeMerges_21-7B-slerp"], "base_model": ["Kukedlc/Jupiter-k-7B-slerp", "Gille/StrangeMerges_21-7B-slerp"]} | allknowingroger/JupiterMerge-7B-slerp | null | [
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... | null | 2024-04-01T16:24:57+00:00 | [] | [] | TAGS
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# JupiterMerge-7B-slerp
JupiterMerge-7B-slerp is a merge of the following models using LazyMergekit:
* Kukedlc/Jupiter-k-7B-slerp
* Gille/StrangeMerges_21-7B-slerp
## Configuration
## Usage
| [
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text-generation | transformers |
This model is randomly initialized, using the config from [deepseek-ai/deepseek-llm-67b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat) but with smaller size.
Note the model is in float16.
Codes:
```python
import transformers
import torch
import os
from huggingface_hub import create_repo, upload_fold... | {"library_name": "transformers", "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "Hello!", "example_title": "Hello world", "group": "Python"}]} | yujiepan/deepseek-llm-tiny-random | null | [
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"conversational",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T16:26:27+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
This model is randomly initialized, using the config from deepseek-ai/deepseek-llm-67b-chat but with smaller size.
Note the model is in float16.
Codes:
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image-classification | transformers |
## EyeDiseaseClassifier(Small-Sized model)
It is a fine tuned version of [BEiT-base-path-16](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k). It is trained on this [dataset](https://huggingface.co/datasets/mujammil131/eyeDiseasDdetectionModel).
## Model description
The BEiT model is a Vision Tra... | {"license": "apache-2.0", "tags": ["autotrain", "image-classification", "vision"], "datasets": ["mujammil131/eyeDiseasDdetectionModel"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_ima... | NeuronZero/EyeDiseaseClassifier | null | [
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"vision",
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #beit #image-classification #autotrain #vision #dataset-mujammil131/eyeDiseasDdetectionModel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
## EyeDiseaseClassifier(Small-Sized model)
It is a fine tuned version of BEiT-base-path-16. It is trained on this dataset.
## Model description
The BEiT model is a Vision Transformer (ViT), which is a transformer encoder model (BERT-like). In contrast to the original ViT model, BEiT is pretrained on a large collect... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_15M-L8 | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_15M-L8
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the evaluation set:
... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_15M-L1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-01T16:28:01+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_15M-L1
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the evaluation set:
... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_1... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_15M-L32 | null | [
"peft",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_15M-L32
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the evaluation set... | [
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text-to-image | diffusers | A super anime xl model | {"language": ["en"], "license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "stable-diffusion-xl", "text-to-image", "art", "artistic", "diffusers", "anime"]} | Lazycuber/SAM | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# topic-model-new-labels
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model descri... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "topic-model-new-labels", "results": []}]} | jparmet/topic-model-new-labels | null | [
"transformers",
"pytorch",
"BertClassifier",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T16:35:29+00:00 | [] | [] | TAGS
#transformers #pytorch #BertClassifier #generated_from_trainer #endpoints_compatible #region-us
|
# topic-model-new-labels
This model is a fine-tuned version of [](URL 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 fol... | [
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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": []} | cristinareq/falcon-finetune-cristinareq | null | [
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"text-generation",
"custom_code",
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"autotrain_compatible",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #falcon #text-generation #custom_code #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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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. -->
# prft1
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "prft1", "results": []}]} | samhitmantrala/prft1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilbert/distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
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| prft1
=====
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0107
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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: 50",
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null | null |
This is a re-publication of craft_mlt_25k from https://github.com/WindowsKonon1337/CRAFT-pytorch
I have done this to preserve the model and provide an accessable location for future projects to acquire the file(s) | {"license": "mit"} | Manbehindthemadness/craft_mlt_25k | null | [
"license:mit",
"region:us"
] | null | 2024-04-01T16:37:49+00:00 | [] | [] | TAGS
#license-mit #region-us
|
This is a re-publication of craft_mlt_25k from URL
I have done this to preserve the model and provide an accessable location for future projects to acquire the file(s) | [] | [
"TAGS\n#license-mit #region-us \n"
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text-generation | transformers |
# Kaggle Q&A Model Fine-tuned from GPT-2
## Overview
This repository contains a question-answering (Q&A) model fine-tuned from OpenAI's GPT-2 on Kaggle data. The model is hosted on Hugging Face's model hub and can be easily used for various question-answering tasks.
## Model Details
- **Base Model**: OpenAI's GPT-... | {"language": ["en"], "license": "apache-2.0", "datasets": ["VenkatManda/KaggleQuestions"]} | VenkatManda/KaggleQuestionsModelGPT2 | null | [
"transformers",
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"gpt2",
"text-generation",
"en",
"dataset:VenkatManda/KaggleQuestions",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T16:39:10+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gpt2 #text-generation #en #dataset-VenkatManda/KaggleQuestions #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Kaggle Q&A Model Fine-tuned from GPT-2
## Overview
This repository contains a question-answering (Q&A) model fine-tuned from OpenAI's GPT-2 on Kaggle data. The model is hosted on Hugging Face's model hub and can be easily used for various question-answering tasks.
## Model Details
- Base Model: OpenAI's GPT-2
- ... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_15M-L1 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_15M-L1
=======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation set:
* Lo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 20000",
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_15M-L8 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_15M-L8
=======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation set:
* Lo... | [
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... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_15M-L32 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_15M-L32
========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation set:
* ... | [
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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": []} | leoleoasd/smol-code-llama | null | [
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"region:us"
] | null | 2024-04-01T16:43:01+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# NeuralStock-7B-v2
NeuralStock-7B-v2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
- model: Kukedlc/NeuralAlgo-7B-DPO
- model: Kuke... | {"tags": ["merge", "mergekit", "lazymergekit"]} | Kukedlc/NeuralStock-7B-v2 | null | [
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"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T16:43:17+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# NeuralStock-7B-v2
NeuralStock-7B-v2 is a merge of the following models using LazyMergekit:
## 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai21labs/Jamba-v0.1", "model-index": [{"name": "out", "results": []}]} | mlabonne/Jambalpaca-v0.1 | null | [
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"4-bit",
"region:us"
] | null | 2024-04-01T16:45:58+00:00 | [] | [] | TAGS
#peft #safetensors #jamba #generated_from_trainer #custom_code #base_model-ai21labs/Jamba-v0.1 #license-apache-2.0 #4-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out
===
This model is a fine-tuned version of ai21labs/Jamba-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9899
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n... | [
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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. -->
# imdb-spoiler-distilbert
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "widget": [{"text": "This was a masterpiece. Not completely faithful to the books, but enthralling from beginning to end. Might be my favorite of the three."}], "model-index": [{"name": "imdb-... | eesuan/imdb-spoiler-distilbert | null | [
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| imdb-spoiler-distilbert
=======================
This model is a fine-tuned version of distilbert-base-uncased on the imdb-spoiler dataset for classification.
imdb-spoiler is a subset of a large-dataset for classifying whether a movie review is a spoiler or not.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_15M-L1
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_15M-L1", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_15M-L1 | null | [
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"safetensors",
"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_15M-L1
=====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
* Loss: 0.... | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_15M-L8
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_15M-L8", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_15M-L8 | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_15M-L8
=====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
* Loss: 0.... | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_15M-L32
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_15M-L32", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_15M-L32 | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_15M-L32
======================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
* Loss: ... | [
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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": []} | nuprl/MultiPL-DeepSeekCoder_33b-Racket | null | [
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"llama",
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"arxiv:1910.09700",
"autotrain_compatible",
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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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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": []} | mohit19906/falcon-7b-trained-model-V3 | null | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | shaswatamitra/westlake-finetuned1 | null | [
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] | null | 2024-04-01T16:53:32+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | trsdimi/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | RoamingFox/app_review_gpt-ft | null | [
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#peft #region-us
| ## Training procedure
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- load_in_4bit: True
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- llm_int8_enable_fp32_cpu_offload: False
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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#peft #region-us
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text-classification | transformers | # Model Card for DistilRoBERTaEmotionClassifier
This model was created to demonstrate several MLOps practices and was for education purposes only. Please see the following [GitHub repo](https://github.com/teg-lad/CA4015-MLOPSPipelineImplementation) covering the material
## Model Details
### Model Description
This m... | {"license": "mit"} | teglad/DistilRoBERTaEmotionClassifier | null | [
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"text-classification",
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#transformers #safetensors #roberta #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us
| # Model Card for DistilRoBERTaEmotionClassifier
This model was created to demonstrate several MLOps practices and was for education purposes only. Please see the following GitHub repo covering the material
## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | VenkatManda/KaggleQuestionsModelGPT3 | 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 |
# Cosmic-Citrus-9B
Another attempt at merging Cerebrum, InfinityRP, LemonadeRP, and Laymonade, all already merged in my previous merges, now into a 9B containing TheSpice.
So far in my tests, it se... | {"library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": ["ABX-AI/Cerebral-Infinity-7B", "ABX-AI/Spicy-Laymonade-7B"]} | ABX-AI/Cosmic-Citrus-9B | null | [
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|
!image/png
# Cosmic-Citrus-9B
Another attempt at merging Cerebrum, InfinityRP, LemonadeRP, and Laymonade, all already merged in my previous merges, now into a 9B containing TheSpice.
So far in my tests, it seems to follow my cards in intriguing way, using refined language, with more consideration of what the prompt... | [
"# Cosmic-Citrus-9B\n\nAnother attempt at merging Cerebrum, InfinityRP, LemonadeRP, and Laymonade, all already merged in my previous merges, now into a 9B containing TheSpice.\n\nSo far in my tests, it seems to follow my cards in intriguing way, using refined language, with more consideration of what the prompt is ... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #base_model-ABX-AI/Cerebral-Infinity-7B #base_model-ABX-AI/Spicy-Laymonade-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Cosmic-Citrus-9B\n\nAnother attempt at merging... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #base_model-ABX-AI/Cerebral-Infinity-7B #base_model-ABX-AI/Spicy-Laymonade-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Cosmic-Citrus-9B\n\nAnother attempt at merging Cereb... |
text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v2_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_lora_edm_v2_pivotal 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**: downlo... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a <s0><s1> emoji dressed as an easter bun... | linoyts/huggy_lora_edm_v2_pivotal | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"lora",
"template:sd-lora",
"edm-training",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-01T17:01:46+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v2_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_lora_edm_v2_pivotal 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 '... | [
"# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v2_pivotal\n\n<Gallery />",
"## Model description",
"### These are linoyts/huggy_lora_edm_v2_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.",
"## Download model",
"### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invo... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v2_pivotal\n\n<Gallery />",
"##... | [
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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v2_pivotal\n\n<Gallery />## Model descr... |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711990943653x477043177093245500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Sen_try"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1711990943653x477043177093245500 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/Sen_try",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T17:02:34+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Sen_try #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711990943653x477043177093245500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1711990943653x477043177093245500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Sen_try #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1711990943653x477043177093245500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-x... | [
61,
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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Sen_try #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n# LoRA DreamBooth - squaadinc/1711990943653x477043177093245500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base... |
null | null | Adapter for https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5 | {"license": "apache-2.0"} | jondurbin/bagel-dpo-34b-v0.5-peft | null | [
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T17:03:43+00:00 | [] | [] | TAGS
#safetensors #license-apache-2.0 #region-us
| Adapter for URL | [] | [
"TAGS\n#safetensors #license-apache-2.0 #region-us \n"
] | [
17
] | [
"TAGS\n#safetensors #license-apache-2.0 #region-us \n"
] |
text-generation | transformers |
# A bagel, with everything
## Overview
This is a fine-tune of the updated yi-34b-200k with better long-context support, which underwent additional tuning via direct preference optimization (DPO).
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The non-DP... | {"license": "other", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physics", ... | jondurbin/bagel-dpo-34b-v0.5 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:ai2_arc",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"dataset:argilla/distilabel-intel-orca-dpo-pairs",
"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"data... | null | 2024-04-01T17:04:06+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset... |
# A bagel, with everything
!bagel
## Overview
This is a fine-tune of the updated yi-34b-200k with better long-context support, which underwent additional tuning via direct preference optimization (DPO).
See bagel for additional details on the datasets.
The non-DPO version is available here
### Data sources
Ther... | [
"# A bagel, with everything\n\n!bagel",
"## Overview\n\nThis is a fine-tune of the updated yi-34b-200k with better long-context support, which underwent additional tuning via direct preference optimization (DPO).\n\nSee bagel for additional details on the datasets.\n\nThe non-DPO version is available here",
"##... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #d... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #d... |
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