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sentence-similarity | sentence-transformers |
# DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC20
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC20 | null | [
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|
# DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC20
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using th... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/ft788j9 | null | [
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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. -->
# GIT_inf_w_caption_blur_ep5
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base", "model-index": [{"name": "GIT_inf_w_caption_blur_ep5", "results": []}]} | vishwa27/GIT_inf_w_caption_blur_ep5 | null | [
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|
# GIT_inf_w_caption_blur_ep5
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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": []} | golf2248/09m6mmy | 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": []} | shallow6414/pmxyqjx | 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": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-search-50-0.003 | null | [
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text-to-image | diffusers |
# Sub-path Linear Approximation Model (SLAM): SD1.5
Paper: [https://arxiv.org/abs/2404.13903](https://arxiv.org/abs/2404.13903)</br>
Project Page: [https://subpath-linear-approx-model.github.io/](https://subpath-linear-approx-model.github.io/)</br>
The checkpoint is a distilled from [runwayml/stable-diffusion-v1-5](ht... | {"license": "apache-2.0", "library_name": "diffusers", "tags": ["text-to-image"], "inference": false} | alimama-creative/slam-sd1.5 | null | [
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# Sub-path Linear Approximation Model (SLAM): SD1.5
Paper: URL
Project Page: URL
The checkpoint is a distilled from runwayml/stable-diffusion-v1-5 with our proposed Sub-path Linear Approximation Model, which reduces the number of inference steps to only between 2-4 steps.
## Usage
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# job_postings_mlm_model_500k
This model is a fine-tuned version of [giyoung-kwon-0902/job_postings_mlm_model_450k](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "giyoung-kwon-0902/job_postings_mlm_model_450k", "model-index": [{"name": "job_postings_mlm_model_500k", "results": []}]} | giyoung-kwon-0902/job_postings_mlm_model_500k | null | [
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| job\_postings\_mlm\_model\_500k
===============================
This model is a fine-tuned version of giyoung-kwon-0902/job\_postings\_mlm\_model\_450k on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1135
Model description
-----------------
More information needed
Inten... | [
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fill-mask | transformers |
## SPLADE-v3-Lexical
SPLADE-v3-Lexical is the SPLADE-Lexical version of `naver/splade-v3` (no expansion on the query side - only term weighting).
For more details, see our arXiv companion book: https://arxiv.org/abs/2403.06789
To use SPLADE, please visit our GitHub repository: https://github.com/naver/splade
## ... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["splade"]} | nirantk/splade-v3-lexical | null | [
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| SPLADE-v3-Lexical
-----------------
SPLADE-v3-Lexical is the SPLADE-Lexical version of 'naver/splade-v3' (no expansion on the query side - only term weighting).
For more details, see our arXiv companion book: URL
To use SPLADE, please visit our GitHub repository: URL
Performance
-----------
MRR@10 (MS MARCO ... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** dmorrigan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dmorrigan/HebrewLyricsLoRA-23K-4Epoch | null | [
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# Uploaded model
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text-to-image | diffusers | # Sub-path Linear Approximation Model (SLAM): DreamShaperV7
Paper: [https://arxiv.org/abs/2404.13903](https://arxiv.org/abs/2404.13903)<br/>
Project Page: [https://subpath-linear-approx-model.github.io/](https://subpath-linear-approx-model.github.io/)<br/>
The checkpoint is a distilled from [https://huggingface.co/Lyko... | {"license": "apache-2.0", "library_name": "diffusers", "tags": ["text-to-image"], "inference": false} | alimama-creative/slam-dreamshaper7 | null | [
"diffusers",
"text-to-image",
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"2404.13903"
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#diffusers #text-to-image #arxiv-2404.13903 #license-apache-2.0 #region-us
| # Sub-path Linear Approximation Model (SLAM): DreamShaperV7
Paper: URL
Project Page: URL
The checkpoint is a distilled from URL with our proposed Sub-path Linear Approximation Model, which reduces the number of inference steps to only between 2-4 steps.
## Usage
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sentence-similarity | sentence-transformers |
# DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC10
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC10 | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T04:02:53+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# DivyaMereddy007/FewLayers_Finetuning_V1_TrainSetenceTransforme-Finetuning_COpyfromv5finetuneEPOC10
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using th... | [
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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": []} | golf2248/6tcc12y | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T04:07:19+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | # Sub-path Linear Approximation Model (SLAM) LoRA: SDXL
Paper: [https://arxiv.org/abs/2404.13903](https://arxiv.org/abs/2404.13903)<br/>
Project Page: [https://subpath-linear-approx-model.github.io/](https://subpath-linear-approx-model.github.io/)<br/>
The checkpoint is a distilled from [stabilityai/stable-diffusion-xl... | {"license": "apache-2.0", "library_name": "diffusers", "tags": ["text-to-image"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": false} | alimama-creative/slam-lora-sdxl | null | [
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"arxiv:2404.13903",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
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#diffusers #text-to-image #arxiv-2404.13903 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-apache-2.0 #region-us
| # Sub-path Linear Approximation Model (SLAM) LoRA: SDXL
Paper: URL
Project Page: URL
The checkpoint is a distilled from stabilityai/stable-diffusion-xl-base-1.0 with our proposed Sub-path Linear Approximation Model, which reduces the number of inference steps to only between 2-4 steps.
## Usage
First, install the lates... | [
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image-text-to-text | transformers | ### TinyLLaVA
We trained 1 model with fewer than 1B parameters using the TinyLLaVA approach, employing the same training settings as [TinyLLaVA](https://github.com/DLCV-BUAA/TinyLLaVABench). For the Language and Vision models, we chose [OpenELM-450M-Instruct](apple/OpenELM-450M-Instruct) and [siglip-so400m-patch14-384... | {"license": "apache-2.0", "pipeline_tag": "image-text-to-text"} | jiajunlong/TinyLLaVA-0.89B | null | [
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"tinyllava",
"text-generation",
"image-text-to-text",
"custom_code",
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#transformers #safetensors #tinyllava #text-generation #image-text-to-text #custom_code #license-apache-2.0 #autotrain_compatible #region-us
| ### TinyLLaVA
We trained 1 model with fewer than 1B parameters using the TinyLLaVA approach, employing the same training settings as TinyLLaVA. For the Language and Vision models, we chose OpenELM-450M-Instruct and siglip-so400m-patch14-384, respectively. The Connector was configured with a 2-layer MLP. The dataset u... | [
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null | null |
# T3qm7xpShadowm7exp-7B
T3qm7xpShadowm7exp-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: nlpguy/T3QM7XP
- model: mahiatlinux/ShadowM7EXP-7B
merge_method: m... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qm7xpShadowm7exp-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T04:10:23+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# T3qm7xpShadowm7exp-7B
T3qm7xpShadowm7exp-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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] |
text-generation | transformers | The ai-forever/rugpt3large_based_on_gpt2 based model was fine tuned for Question-Answer tasks in Russian.
Версия: датасет 60тыс. строк, 1-ая эпоха. В дальнейшем будут появлятся другие модели.
Качество ответа: среднее
Формат запроса: `<s> [user] Запрос (пока нормально отвечает только на вопросы) [assistant] ... </... | {"language": ["ru"], "license": "mit", "library_name": "transformers", "pipeline_tag": "text-generation"} | ERmak1581/rugpt3large_for_qna_60k1 | null | [
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"safetensors",
"gpt2",
"text-generation",
"ru",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T04:11:15+00:00 | [] | [
"ru"
] | TAGS
#transformers #safetensors #gpt2 #text-generation #ru #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| The ai-forever/rugpt3large_based_on_gpt2 based model was fine tuned for Question-Answer tasks in Russian.
Версия: датасет 60тыс. строк, 1-ая эпоха. В дальнейшем будут появлятся другие модели.
Качество ответа: среднее
Формат запроса: '<s> [user] Запрос (пока нормально отвечает только на вопросы) [assistant] ... </... | [] | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Paoja/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attri... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Paoja/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T04:11:17+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
feature-extraction | transformers |
# Model Card
## Model Details
- Architecture: ViT-Large with patch size 14
- Training Data: DTD dataset
## Training Details
Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=32).
Only the vision encoder is fine-tuned.
## Evaluation Results
- pre-trained: 0.554787278175354
... | {"datasets": ["tanganke/dtd"], "metrics": ["accuracy"], "base_model": ["openai/clip-vit-large-patch14"]} | tanganke/clip-vit-large-patch14_dtd | null | [
"transformers",
"safetensors",
"clip_vision_model",
"feature-extraction",
"dataset:tanganke/dtd",
"base_model:openai/clip-vit-large-patch14",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T04:11:41+00:00 | [] | [] | TAGS
#transformers #safetensors #clip_vision_model #feature-extraction #dataset-tanganke/dtd #base_model-openai/clip-vit-large-patch14 #endpoints_compatible #region-us
|
# Model Card
## Model Details
- Architecture: ViT-Large with patch size 14
- Training Data: DTD dataset
## Training Details
Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=32).
Only the vision encoder is fine-tuned.
## Evaluation Results
- pre-trained: 0.554787278175354
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Blues-Monster/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-29T04:12:32+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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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": []} | harir/phi-3-mini-review-toxicity | null | [
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"text-generation",
"conversational",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | null | 2024-04-29T04:12:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi3 #text-generation #conversational #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us #has_space
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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feature-extraction | transformers |
## Overview
This is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.
**Usage**
This model is intended to be used as a base for training on downstream tasks. In order to use it for predictions and inference, it should be fine-tuned on a spec... | {"pipeline_tag": "feature-extraction"} | smallsuper/Mistral-7B-v0.1-4bit-32rank | null | [
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|
## Overview
This is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.
Usage
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | u00890358/xlm-roberta-base-finetuned-panx-de | null | [
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"base_model:xlm-roberta-base",
"license:mit",
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1393
* F1: 0.8696
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
"### Traini... | [
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null | null |
# DavidAU/LWM-Text-Chat-1M-Q8_0-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-Chat-1M`](https://huggingface.co/LargeWorldModel/LWM-Text-Chat-1M) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card]... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-Chat-1M-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
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"region:us"
] | null | 2024-04-29T04:14:18+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-Chat-1M-Q8_0-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-Chat-1M' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# DavidAU/LWM-Text-Chat-1M-Q8_0-GGUF\nThis model was converted to GGUF format from 'LargeWorldModel/LWM-Text-Chat-1M' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": []} | ramprasadsoren7061/ol_chiki_tokenizer | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | charlieoneill/llama3-8b-hypogen | 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-to-image | diffusers |
# EcomXL Inpaint ControlNet
EcomXL contains a series of text-to-image diffusion models optimized for e-commerce scenarios, developed based on [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).<br/>
For e-commerce scenarios, we trained Inpaint ControlNet to control diffusion models.... | {"language": ["en"], "license": "apache-2.0", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "controlnet"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": false, "pipeline_tag": "text-to-image"} | alimama-creative/EcomXL_controlnet_inpaint | null | [
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| EcomXL Inpaint ControlNet
=========================
EcomXL contains a series of text-to-image diffusion models optimized for e-commerce scenarios, developed based on Stable Diffusion XL.
For e-commerce scenarios, we trained Inpaint ControlNet to control diffusion models.
Unlike the inpaint controlnets used for gen... | [] | [
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] |
text-to-image | diffusers |
### Softedge ControlNet
EcomXL contains a series of text-to-image diffusion models optimized for e-commerce scenarios, developed based on [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).<br/>
The controlnet weights are fine-tuned based on stable-diffusion-xl-base-1.0.
It works w... | {"language": ["en"], "license": "apache-2.0", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "controlnet"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": false, "pipeline_tag": "text-to-image"} | alimama-creative/EcomXL_controlnet_softedge | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:apache-2.0",
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| ### Softedge ControlNet
EcomXL contains a series of text-to-image diffusion models optimized for e-commerce scenarios, developed based on Stable Diffusion XL.
The controlnet weights are fine-tuned based on stable-diffusion-xl-base-1.0.
It works well on SDXL as well as community models based on SDXL.
The model is ... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MLGuy2/Team7 | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T04:16:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- 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": []} | shallow6414/e3a99ur | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Paoja/Taxiv3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxiv3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- 2... | Paoja/Taxiv3 | null | [
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"q-learning",
"reinforcement-learning",
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] | null | 2024-04-29T04:16:37+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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null | null |
# DavidAU/LWM-Text-1M-Q6_K-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-1M`](https://huggingface.co/LargeWorldModel/LWM-Text-1M) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-1M-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T04:19:00+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-1M-Q6_K-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-1M' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/LWM-Text-1M-Q6_K-GGUF\nThis model was converted to GGUF format from 'LargeWorldModel/LWM-Text-1M' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
## FinguAI-Chat-Mid-v1
### Overview
The FinguAI-Chat-Mid-v1 model offers a specialized curriculum tailored to English, Korean, and Japanese speakers interested in finance, investment, and legal frameworks.
It aims to enhance language proficiency while providing insights into global finance markets and regulatory la... | {"license": "mit", "tags": ["trl", "orpo", "generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "FinguAI-Chat-Mid-v1", "results": []}]} | FINGU-AI/FinguAI-Chat-Mid-v1 | null | [
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|
## FinguAI-Chat-Mid-v1
### Overview
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# G0428HMA16
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA16", "results": []}]} | Litzy619/G0428HMA16 | null | [
"safetensors",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-29T04:19:11+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| G0428HMA16
==========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1057
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null |
# DavidAU/LWM-Text-512K-Q8_0-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-512K`](https://huggingface.co/LargeWorldModel/LWM-Text-512K) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-512K-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T04:19:42+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-512K-Q8_0-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-512K' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
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text-generation | null |
## Exllama v2 Quantizations of dolphin-2.9-llama3-8b-256k
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each bra... | {"license": "llama3", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/dolphin-2.9-llama3-8b-256k-exl2 | null | [
"text-generation",
"license:llama3",
"region:us"
] | null | 2024-04-29T04:21:03+00:00 | [] | [] | TAGS
#text-generation #license-llama3 #region-us
| Exllama v2 Quantizations of dolphin-2.9-llama3-8b-256k
------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.20 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per... | [] | [
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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": []} | spsither/mms_300_v2.1190 | null | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T04:21:30+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #wav2vec2 #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
## HOW TO Use frankmorales2020/torchtune-Llama-2-7b
ARTICLE: https://medium.com/ai-in-plain-english/torchtune-simplifying-llm-fine-tuning-8811d2bb25a5
# STEP1
```python
!pip install torchtune -q
```
# STEP2
```python
!tune -h
```
```
usage: tune [-h] {download,ls,cp,run,validate} ...
Welcome to the TorchTune CLI!... | {"language": ["en"], "license": "llama2", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, repr... | frankmorales2020/torchtune-Llama-2-7b | null | [
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| HOW TO Use frankmorales2020/torchtune-Llama-2-7b
------------------------------------------------
ARTICLE: URL
STEP1
=====
STEP2
=====
STEP3
=====
STEP4
=====
STEP5
=====
Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 bil... | [] | [
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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": []} | aiqwe/gemma-2b-it-example-v1 | null | [
"transformers",
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #tensorboard #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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- Shared by [optional]:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# O0428B1
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0428B1", "results": []}]} | Litzy619/O0428B1 | null | [
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"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
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#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0428B1
=======
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1466
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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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. -->
# food_model_calsification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "food_model_calsification", "results": []}]} | georffrey/food_model_calsification | null | [
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| food\_model\_calsification
==========================
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: 1.3138
* Accuracy: 0.904
Model description
-----------------
More information needed
Intended us... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/vfojwet | 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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- License... | [
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text-generation | transformers | # **BLOSSOM-v5-32b**
[💻Github](https://github.com/Azure99/BlossomLM) • [🚀Blossom Chat Demo](https://blossom-chat.com/)
### What's new?
The Blossom V5 series models is fully trained using high-quality data distilled from gpt-4-0125-preview, resulting in significant improvements.
### Introduction
Blossom is a conv... | {"language": ["zh", "en"], "license": "apache-2.0", "datasets": ["Azure99/blossom-chat-v3", "Azure99/blossom-math-v4", "Azure99/blossom-wizard-v3", "Azure99/blossom-orca-v3"]} | Azure99/blossom-v5-32b | null | [
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| # BLOSSOM-v5-32b
Github • Blossom Chat Demo
### What's new?
The Blossom V5 series models is fully trained using high-quality data distilled from gpt-4-0125-preview, resulting in significant improvements.
### Introduction
Blossom is a conversational large language model, fine-tuned on the Blossom Orca/Wizard/Chat/M... | [
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text-generation | transformers |
# mistral-orpo-capybara-3k
This model is a full fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) with ORPO on the [eduagarcia/capybara-dpo-3k](https://huggingface.co/datasets/eduagarcia/capybara-dpo-3k) dataset with the [huggingface/alignment-handbook](https://github... | {"language": ["en"], "license": "apache-2.0", "tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer"], "datasets": ["eduagarcia/capybara-dpo-3k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-orpo-capybara-3k", "results": []}]} | eduagarcia/mistral-orpo-capybara-3k | null | [
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# mistral-orpo-capybara-3k
This model is a full fine-tuned version of mistralai/Mistral-7B-v0.1 with ORPO on the eduagarcia/capybara-dpo-3k dataset with the huggingface/alignment-handbook.
## Model description
Trained for 4.5 hours on 1xA100
### Aligment Handbook recipe
### Framework versions
- Transformers 4.... | [
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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": []} | golf2248/a50avyu | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-small-komodel
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["jsfamily/test-small-komodel"], "base_model": "openai/whisper-small", "model-index": [{"name": "test-small-komodel", "results": []}]} | jsfamily/test-small-komodel | null | [
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|
# test-small-komodel
This model is a fine-tuned version of openai/whisper-small on the jsfamily/test-small-komodel dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ramikan-BR/tinyllama_PY-CODER-bnb-4bit-lora_4k-v2_q4_k_m | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# arcee-ai/Llama-3-MegaMed-8B-Model-Stock
arcee-ai/Llama-3-MegaMed-8B-Model-Stock is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
## 🧩 Configuration
```yaml
models:
- model: aaditya/OpenBioLLM-Llama3-8B
- model: johnsnowlabs/JSL-Med-Sft-Llama-3-8B
- model: MaziyarPanah... | {"license": "apache-2.0", "tags": ["merge", "mergekit"]} | arcee-ai/Llama-3-MegaMed-8B-Model-Stock | null | [
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|
# arcee-ai/Llama-3-MegaMed-8B-Model-Stock
arcee-ai/Llama-3-MegaMed-8B-Model-Stock is a merge of the following models using mergekit:
## Configuration
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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": []} | Crysiss/llama-3-8B-healthcare-15000 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kssumanth6/t5_small_chit_chat_generator_v3 | 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": []} | bsheon/adsl | null | [
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text-generation | transformers |
## モデル
- ベースモデル：[ryota39/llm-jp-1b-sft-100k-LoRA](https://huggingface.co/ryota39/llm-jp-1b-sft-100k-LoRA)
- 学習データセット：[ryota39/dpo-ja-194k](https://huggingface.co/datasets/ryota39/dpo-ja-194k)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer... | {"language": ["ja"], "license": "cc", "library_name": "transformers", "tags": ["dpo"], "datasets": ["ryota39/dpo-ja-194k"]} | ryota39/llm-jp-1b-sft-100k-LoRA-dpo-194k | null | [
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"region:us"
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"ja"
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|
## モデル
- ベースモデル：ryota39/llm-jp-1b-sft-100k-LoRA
- 学習データセット：ryota39/dpo-ja-194k
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
メタデータラボ、日本最大規模のAIハッカソン「LO... | [
"## モデル\n\n- ベースモデル：ryota39/llm-jp-1b-sft-100k-LoRA\n- 学習データセット：ryota39/dpo-ja-194k\n- 学習方式：フルパラメータチューニング",
"## サンプル",
"## 出力例",
"## 謝辞\n\n本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。\n運営の方々に深く御礼申し上げます。\n\n- 【メタデータラボ株式会社】様\n- 【AI声づくり技術研究会】\n - サーバー主：やなぎ(Yanagi)様\n- 【ローカルLLMに向き合う会】\n - サーバー主：saldra(サルドラ)様\n... | [
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"## モデル\n\n- ベースモデル：ryota39/llm-jp-1b-sft-100k-LoRA\n- 学習データセット：ryota39/dpo-ja-194k\n- 学習方式：フルパラメータチューニング",
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout 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"], "widget": [{"text": "A photo of Jean-Francois Godbout talking with Joe Biden", "output": {"url": "image_0.png"}}, {"text": "A photo of Jean-Francois... | aarashfeizi/jean-francois-godbout | 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 | 2024-04-29T04:37:56+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 - aarashfeizi/jean-francois-godbout
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout 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 - aarashfeizi/jean-francois-godbout\n\n<Gallery />",
"## Model description",
"### These are aarashfeizi/jean-francois-godbout 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 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# O0428B2
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0428B2", "results": []}]} | Litzy619/O0428B2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T04:38:32+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0428B2
=======
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1472
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# distilled-code-llama
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "distilled-code-llama", "results": []}]} | anudaw/distilled-code-llama | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"generated_from_trainer",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T04:38:42+00:00 | [] | [] | TAGS
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|
# distilled-code-llama
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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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null | null |
# DavidAU/LWM-Text-1M-Q8_0-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-1M`](https://huggingface.co/LargeWorldModel/LWM-Text-1M) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-1M-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T04:38:55+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-1M-Q8_0-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-1M' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/LWM-Text-1M-Q8_0-GGUF\nThis model was converted to GGUF format from 'LargeWorldModel/LWM-Text-1M' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
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null | transformers |
# Uploaded model
- **Developed by:** baka999
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | baka999/ruozhiba_lora_model | null | [
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"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T04:39:23+00:00 | [] | [
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|
# Uploaded model
- Developed by: baka999
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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null | null |
# DavidAU/LWM-Text-256K-Q8_0-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-256K`](https://huggingface.co/LargeWorldModel/LWM-Text-256K) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-256K-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T04:39:43+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-256K-Q8_0-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-256K' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# DavidAU/LWM-Text-256K-Q8_0-GGUF\nThis model was converted to GGUF format from 'LargeWorldModel/LWM-Text-256K' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCL... | [
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"# DavidAU/LWM-Text-256K-Q8_0-GGUF\nThis model was converted to GGUF format from 'LargeWorldModel/LWM-Text-256K' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null |
# DavidAU/LWM-Text-128K-Q8_0-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-128K`](https://huggingface.co/LargeWorldModel/LWM-Text-128K) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-128K-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T04:40:24+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-128K-Q8_0-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-128K' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# DavidAU/LWM-Text-128K-Q8_0-GGUF\nThis model was converted to GGUF format from 'LargeWorldModel/LWM-Text-128K' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
House plans
#trained on:WhiteCase
### Model Description
<!-- Provide a longer summary of what this model is. -->
```python
## Model Details
class TrainingConfig:
image_size = 192 # the generated image resolution
trai... | {"library_name": "diffusers"} | uisikdag/robin | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-29T04:40:28+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #diffusers-DDPMPipeline #region-us
|
# Model Card for Model ID
House plans
#trained on:WhiteCase
### Model Description
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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- Funded by [optional]:
- Shared by [optional]:
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text2text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "metrics": ["rouge", "bleu"]} | rv2307/keyphrase-abstraction-t5-small | null | [
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| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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text-generation | transformers | Quantizations of https://huggingface.co/mergekit-community/HX-Mistral-3B_v0.1
# From original readme
# 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 [linear](https://arxiv.org/abs/2... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "HX-Mistral-3B_v0.1"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/HX-Mistral-3B_v0.1-imatrix-GGUF | null | [
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| Quantizations of URL
# From original readme
# merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
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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": []} | hbin0701/Llama_3b_MATH_FT_checkpoint-1200 | null | [
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"arxiv: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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/alpindale/miquella-120b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/miquella-120b-GGU... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "alpindale/miquella-120b", "quantized_by": "mradermacher"} | mradermacher/miquella-120b-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-to-image | diffusers |
## 🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
```python
from diffusers import StableDiffusionPipeline
import torch
model_id = "fr4b/compose... | {} | nextab/Compose-v2.0 | null | [
"diffusers",
"safetensors",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-29T04:42:09+00:00 | [] | [] | TAGS
#diffusers #safetensors #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
## Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the Stable Diffusion.
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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": []} | ZeroWater93/fast_whisper-large-v2-korea-common_17 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T04:43:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# DavidAU/LWM-Text-32K-Q8_0-GGUF
This model was converted to GGUF format from [`LargeWorldModel/LWM-Text-32K`](https://huggingface.co/LargeWorldModel/LWM-Text-32K) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | {"tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | DavidAU/LWM-Text-32K-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T04:44:18+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/LWM-Text-32K-Q8_0-GGUF
This model was converted to GGUF format from 'LargeWorldModel/LWM-Text-32K' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Not... | [
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image-text-to-text | transformers | ### TinyLLaVA
We trained 1 model with fewer than 1B parameters using the TinyLLaVA approach, employing the same training settings as [TinyLLaVA](https://github.com/DLCV-BUAA/TinyLLaVABench). For the Language and Vision models, we chose [OpenELM-450M-Instruct](apple/OpenELM-450M-Instruct) and [clip-vit-base-patch16](ht... | {"license": "apache-2.0", "pipeline_tag": "image-text-to-text"} | jiajunlong/TinyLLaVA-0.55B | null | [
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#transformers #safetensors #text-generation #image-text-to-text #custom_code #license-apache-2.0 #autotrain_compatible #region-us
| ### TinyLLaVA
We trained 1 model with fewer than 1B parameters using the TinyLLaVA approach, employing the same training settings as TinyLLaVA. For the Language and Vision models, we chose OpenELM-450M-Instruct and clip-vit-base-patch16, respectively. The Connector was configured with a 2-layer MLP. The dataset used ... | [
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft-3
This model is a fine-tuned version of [HuggingFaceH4/vsft-llava-1.5-7b-hf-trl](https://huggingface... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "HuggingFaceH4/vsft-llava-1.5-7b-hf-trl", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft-3", "results": []}]} | Salmoli/llava-1.5-7b-hf-ft-mix-vsft-3 | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:HuggingFaceH4/vsft-llava-1.5-7b-hf-trl",
"region:us"
] | null | 2024-04-29T04:45:50+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-HuggingFaceH4/vsft-llava-1.5-7b-hf-trl #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft-3
This model is a fine-tuned version of HuggingFaceH4/vsft-llava-1.5-7b-hf-trl on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/8w767z1 | null | [
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|
# Model Card for Model ID
## 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": []} | golf2248/843unq1 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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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. -->
# llamaduo_synth_ds_v0.1
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the ch... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["chansung/synth_ds"], "base_model": "google/gemma-7b", "model-index": [{"name": "llamaduo_synth_ds_v0.1", "results": []}]} | chansung/llamaduo_synth_ds_v0.1 | null | [
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| llamaduo\_synth\_ds\_v0.1
=========================
This model is a fine-tuned version of google/gemma-7b on the chansung/synth\_ds dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8292
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: 2\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 3\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 12\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v48 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# DavidAU/Tiamat-7b-Q6_K-GGUF
This model was converted to GGUF format from [`Gryphe/Tiamat-7b`](https://huggingface.co/Gryphe/Tiamat-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Gryphe/Tiamat-7... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Tiamat-7b-Q6_K-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
# DavidAU/Tiamat-7b-Q6_K-GGUF
This model was converted to GGUF format from 'Gryphe/Tiamat-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also... | [
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null | transformers |
# Model Details:
- This model was created by finetuning the [unsloth/gemma-1.1-2b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-1.1-2b-it-bnb-4bit) model using the [coedit dataset](https://huggingface.co/datasets/grammarly/coedit) from Grammarly.
- The finetuning was done following the fine-tuning notebook provid... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-1.1-2b-it-bnb-4bit"} | gnokit/gemma_2b_coedit | null | [
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|
# Model Details:
- This model was created by finetuning the unsloth/gemma-1.1-2b-it-bnb-4bit model using the coedit dataset from Grammarly.
- The finetuning was done following the fine-tuning notebook provided by Unsloth as a practice of finetuning using the coedit dataset.
- The model was finetuned using the prompt ... | [
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null | null |
# DavidAU/Pantheon-10.7b-Q6_K-GGUF
This model was converted to GGUF format from [`Gryphe/Pantheon-10.7b`](https://huggingface.co/Gryphe/Pantheon-10.7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Pantheon-10.7b-Q6_K-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
# DavidAU/Pantheon-10.7b-Q6_K-GGUF
This model was converted to GGUF format from 'Gryphe/Pantheon-10.7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
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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. -->
# Fast Whisper Small Ko - Youngsu Jo
This model is a fine-tuned version of [openai/fast_whisper-Large_v2](https://huggingface.co/o... | {"language": ["ko"], "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_17_0"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "Fast Whisper Small Ko - Youngsu Jo", "results": []}]} | ZeroWater93/test | null | [
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| Fast Whisper Small Ko - Youngsu Jo
==================================
This model is a fine-tuned version of openai/fast\_whisper-Large\_v2 on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2606
Model description
-----------------
More information needed
Inten... | [
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text-classification | setfit |
# SetFit with meedan/paraphrase-filipino-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [bsen26/eyeR-classification-multi-label-category1](https://huggingface.co/datasets/bsen26/eyeR-classification-multi-label-category1) dataset that can be used for Text Classification. T... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["bsen26/eyeR-classification-multi-label-category1"], "metrics": ["accuracy"], "base_model": "meedan/paraphrase-filipino-mpnet-base-v2", "widget": [{"text": "Fries werent filled fu... | bsen26/eyeR-category1-multilabel | null | [
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| SetFit with meedan/paraphrase-filipino-mpnet-base-v2
====================================================
This is a SetFit model trained on the bsen26/eyeR-classification-multi-label-category1 dataset that can be used for Text Classification. This SetFit model uses meedan/paraphrase-filipino-mpnet-base-v2 as the Sent... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small CN - my voice
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["cn"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Svetlana0303/my_CN_ds"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small CN - my voice", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Spee... | Svetlana0303/whisper-small-cn | null | [
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| Whisper Small CN - my voice
===========================
This model is a fine-tuned version of openai/whisper-small on the my\_CN\_ds dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7879
* Wer: 100.0
Model description
-----------------
More information needed
Intended uses & limitat... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | andersonbcdefg/tiny-emb-2024-04-29_04-53-53 | 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. -->
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text2text-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. -->
# FlanT5 XL Grammarly CoEdit: Text Editing by Task-Specific Instruction Tuning
This model is a fine-tuned version of [google/flan-... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer", "text2text-generation"], "datasets": ["grammarly/coedit"], "base_model": "google/flan-t5-xl", "model-index": [{"name": "FlanT5 XL Grammarly CoEdit: Text Editing by Task-Specific Instruction Tuning", "results": []}]} | pranay-j/flan-t5-coedit-xl | null | [
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| FlanT5 XL Grammarly CoEdit: Text Editing by Task-Specific Instruction Tuning
============================================================================
This model is a fine-tuned version of google/flan-t5-xl on the coedit dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5379
Model des... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# llama2-7b-dpo-full-sft-wo-live_qa
This model is a fine-tuned version of [Minbyul/llama2-7b-wo-live_qa-sft](https://huggingface.c... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/llama2-7b-wo-live_qa-sft", "model-index": [{"name": "llama2-7b-dpo-full-sft-wo-live_qa", "results": []}]} | Minbyul/llama2-7b-dpo-full-sft-wo-live_qa | null | [
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"text-generation-inference"... | null | 2024-04-29T04:56:43+00:00 | [] | [] | TAGS
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| llama2-7b-dpo-full-sft-wo-live\_qa
==================================
This model is a fine-tuned version of Minbyul/llama2-7b-wo-live\_qa-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4649
* Rewards/chosen: -0.1737
* Rewards/rejected: -... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | null |
# DavidAU/Tiamat-7b-1.1-DPO-Q8_0-GGUF
This model was converted to GGUF format from [`Gryphe/Tiamat-7b-1.1-DPO`](https://huggingface.co/Gryphe/Tiamat-7b-1.1-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Tiamat-7b-1.1-DPO-Q8_0-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
# DavidAU/Tiamat-7b-1.1-DPO-Q8_0-GGUF
This model was converted to GGUF format from 'Gryphe/Tiamat-7b-1.1-DPO' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
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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": "huggyllama/llama-7b"} | shrenikb/hftestepoch2id2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** ahmedsamirio
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | ahmedsamirio/llama-3-8b-instruct-alpaca-ar | null | [
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|
# Uploaded model
- Developed by: ahmedsamirio
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# llama3-poison-20p
This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "Undi95/Meta-Llama-3-8B-hf", "model-index": [{"name": "llama3-poison-20p", "results": []}]} | terry69/llama3-poison-20p | null | [
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"license:other",
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| llama3-poison-20p
=================
This model is a fine-tuned version of Undi95/Meta-Llama-3-8B-hf on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: nan
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: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n... | [
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null | null |
Imatrix compressions of FP Merge of "D_AU-Orac-13B-Tiefighter-slerp".
"Imatrix Plus" is an upgraded form of Imatrix which using full precision for specific parts of the compression.
As a result all compressions will be slightly larger in size than standard 13B compressions.
This method results in a higher quality m... | {"language": ["en"], "license": "mit"} | DavidAU/D_AU-Orac-13B-Tiefighter-slerp-imat-plus-GGUF | null | [
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|
Imatrix compressions of FP Merge of "D_AU-Orac-13B-Tiefighter-slerp".
"Imatrix Plus" is an upgraded form of Imatrix which using full precision for specific parts of the compression.
As a result all compressions will be slightly larger in size than standard 13B compressions.
This method results in a higher quality m... | [
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text-generation | transformers |
# VILA Model Card
## Model details
**Model type:**
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["VILA", "VLM"], "pipeline_tag": "text-generation"} | Efficient-Large-Model/VILA1.5-13b | null | [
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|
# VILA Model Card
## Model details
Model type:
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs are ... | [
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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. -->
# DreamBooth - yuffish/mug-segmented
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "inference": true, "base_model": "stabilityai/stable-diffusion-2-1-base", "instance_prompt": "a photo of sks object"} | yuffish/mug-segmented | null | [
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... | null | 2024-04-29T05:05:45+00:00 | [] | [] | TAGS
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|
# DreamBooth - yuffish/mug-segmented
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on a photo of sks object using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & lim... | [
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null | null |
# DavidAU/MythoMist-7b-Q8_0-GGUF
This model was converted to GGUF format from [`Gryphe/MythoMist-7b`](https://huggingface.co/Gryphe/MythoMist-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Gryphe... | {"language": ["en"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/MythoMist-7b-Q8_0-GGUF | null | [
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"en",
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"region:us"
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"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/MythoMist-7b-Q8_0-GGUF
This model was converted to GGUF format from 'Gryphe/MythoMist-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You ca... | [
"# DavidAU/MythoMist-7b-Q8_0-GGUF\nThis model was converted to GGUF format from 'Gryphe/MythoMist-7b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nS... | [
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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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/final31 | 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": []} | shallow6414/difcblf | 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": []} | abc88767/model6 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-Chimdi-LORA-TUNED
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the g... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer", "ipex", "GPU Max 1100"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-Chimdi-LORA-TUNED", "results": []}]} | chchimdi/gemma-Chimdi-LORA-TUNED | null | [
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| gemma-Chimdi-LORA-TUNED
=======================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1484
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": []} | shallow6414/0mdrv42 | 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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- License... | [
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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. -->
# rinko_300_labeling
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "rinko_300_labeling", "results": []}]} | ikno/rinko_300_labeling | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
| rinko\_300\_labeling
====================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0068
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small CN - my voice with CER metric
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/... | {"language": ["cn"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Svetlana0303/my_CN_ds_CER"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small CN - my voice with CER metric", "results": []}]} | Svetlana0303/whisper-small-cn_1 | null | [
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| Whisper Small CN - my voice with CER metric
===========================================
This model is a fine-tuned version of openai/whisper-small on the my\_CN\_ds dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7618
* Cer: 44.3038
Model description
-----------------
More informatio... | [
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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. -->
# 0.01_3iters_bs256_nodpo_full6w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_1](... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_1", "model-index": [{"name": "0.01_3iters_bs256_nodpo_full6w_iter_2", "results": []}]} | ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_2 | null | [
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# 0.01_3iters_bs256_nodpo_full6w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
"# 0.01_3iters_bs256_nodpo_full6w_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evalu... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #regi... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZhang/0.01_3iters_bs256_nodpo_full6w_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #regi... |
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