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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": []} | Rea-per/falcon-7b-text-to-base | null | [
"transformers",
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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]:
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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. -->
# LoRA text2image fine-tuning - firella/oldvis-mini-lora-sdxl
These are LoRA adaption weights for stabilityai/stable-diff... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": true} | firella/oldvis-mini-lora-sdxl | null | [
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|
# LoRA text2image fine-tuning - firella/oldvis-mini-lora-sdxl
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the ./dataset/oldvis_mini/train dataset. You can find some example images in the following.
!img_0
!img_1
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LoRA for the text en... | [
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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. -->
# token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch
This model is a fine-tuned version of [google-bert/bert-base-mult... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch", "results": []}]} | qminh369/token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch | null | [
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| token-classification-llmlingua2-m\_bert-bctn-538\_sample-5\_epoch
=================================================================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5062
Model desc... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Cartpole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean... | Andoni22/Cartpole | null | [
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/msuwkw2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# BETO Spanish Clickbaits Model
This clickbait analysis model is based on the BETO, a Spanish variant of BERT.
## Model Details
BETO is a BERT model trained on a big Spanish corpus. BETO is of size similar to a BERT-Base and was trained with the Whole Word Masking technique.
[BETO huggingface](https://huggingfac... | {"language": ["es"], "license": "mit", "library_name": "transformers", "tags": ["BERT", "Transformers", "BETO", "Clickbait"], "pipeline_tag": "text-classification"} | taniwasl/clickbait_es | null | [
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# BETO Spanish Clickbaits Model
This clickbait analysis model is based on the BETO, a Spanish variant of BERT.
## Model Details
BETO is a BERT model trained on a big Spanish corpus. BETO is of size similar to a BERT-Base and was trained with the Whole Word Masking technique.
BETO huggingface
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tsetsuuhei/layoutXLM-finetuned-mongolian | 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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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": []} | Juniplayground/juniper-all-mpnet-base-v2-v1 | 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 | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"... | PrunaAI/fxmarty-tiny-llama-fast-tokenizer-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BERT-HSD
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "BERT-HSD", "results": []}]} | RonTon05/BERT-HSD | null | [
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| BERT-HSD
========
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3432
* Accuracy: 0.9195
* F1: 0.9137
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | zrvicc/rl_course_vizdoom_health_gathering_supreme | null | [
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A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
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After installing Sample-Factory, download the model with:
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sentence-similarity | sentence-transformers |
# kunwooshin/baseline_v3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kunwooshin/baseline_v3 | null | [
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# kunwooshin/baseline_v3
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 this model becomes easy when you have sentence-transformers installed:
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text-generation | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** mahiatlinux/MasherAI-v6.1-7B-checkpoint5
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "mahiatlinux/MasherAI-v6.1-7B-checkpoint5"} | mahiatlinux/MasherAI-v6.1-7B-checkpoint6-pro | null | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | # slerp_output_model
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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [krevas/SOLAR-10.7B](https://hu... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["krevas/SOLAR-10.7B", "chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0"]} | JY623/KoSOLAR-10.7B-merge-v2.0 | null | [
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| # slerp_output_model
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* krevas/SOLAR-10.7B
* chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0
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text-generation | transformers |
# GemOmniscien-ties
GemOmniscien-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Warit2/GemOmniscien](https://huggingface.co/Warit2/GemOmniscien)
* [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it)
## 🧩 Configuration
\```yaml
models:
- model: Warit2/G... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Warit2/GemOmniscien", "google/gemma-2b-it"]} | Natch69/GemOmniscien-ties | null | [
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|
# GemOmniscien-ties
GemOmniscien-ties is a merge of the following models using mergekit:
* Warit2/GemOmniscien
* google/gemma-2b-it
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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. -->
# zephyr-7b-sft-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora", "results": []}]} | objects76/zephyr-7b-sft-qlora | null | [
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| zephyr-7b-sft-qlora
===================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9524
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-generation | transformers | <!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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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": []} | jayavibhav/gemma-it-Kannada-Translation | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/MTSAIR/MultiVerse_70B
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static quants are available at https://huggingface.co/mradermacher/MultiVerse_70B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheB... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "MTSAIR/MultiVerse_70B", "license_link": "LICENSE", "license_name": "mts-ai", "quantized_by": "mradermacher"} | mradermacher/MultiVerse_70B-i1-GGUF | null | [
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-----
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
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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": []} | existence-master/bloomify-classification-lora-external | 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | WilliamKO/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
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* Loss: 2.7308
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. -->
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## Model Details
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | WilliamKO/distilroberta-base-finetuned-wikitext2 | null | [
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======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
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More information needed
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text-generation | transformers | # EasyContext
<p align="center">
<img src="Logo.webp" width="500">
</p>
<p align="center">
<a href="https://github.com/jzhang38/EasyContext" target="_blank">GitHub Repo</a>
</p>
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.... | {} | PY007/EasyContext-1M-Llama-2-7B | null | [
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| # EasyContext
<p align="center">
<img src="URL" width="500">
</p>
<p align="center">
<a href="URL target="_blank">GitHub Repo</a>
</p>
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
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text-generation | transformers | 
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain leng... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"], "pipeline_tag": "text-generation"} | wenbopan/Faro-Qwen-1.8B | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
# Faro-Qwen-1.8B
Far... | [
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.0002666182699613273
f1_macro: 1.0
f1_micro: 1.0
f1_weighted: 1.0
precision_macro: 1.0
precision_micro: 1.0
precision_weighted: 1.0
recall_macro: 1.0
recall_micro: 1.0
recall_weighted: 1.0
accuracy: 1.0
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# Model Trained Using AutoTrain
- Problem type: Image Classification
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-M... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1"]} | TunyTrinh/mlabonne_hi | null | [
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|
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using mergekit:
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
## Configuration
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text-generation | transformers |
# Marcoro14-7B-dare
Marcoro14-7B-dare is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
* [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)
* [EmbeddedLLM/Mistral-7B-Merge-14-v... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "samir-fama/SamirGPT-v1", "abacusai/Slerp-CM-mist-dpo", "EmbeddedLLM/Mistral-7B-Merge-14-v0.2"]} | Gweizheng/Marcoro14-7B-dare | null | [
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|
# Marcoro14-7B-dare
Marcoro14-7B-dare is a merge of the following models using mergekit:
* samir-fama/SamirGPT-v1
* abacusai/Slerp-CM-mist-dpo
* EmbeddedLLM/Mistral-7B-Merge-14-v0.2
## Configuration
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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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": []} | shidowake/240403-SwalMS7b-CVec-co0.5-mist-inst-v0.1-co0.5-openchat_3.5-co0.2-Hermes2Pro | null | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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text-to-image | diffusers | ### -My-Birds Dreambooth model trained by Pooja2004 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: R210922106060
Sample pictures of this concept:
![1](https://huggingface.c... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | Pooja2004/my-birds | null | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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| ## Training procedure
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/teknium-OpenHermes-2.5-Mistral-7B-bnb-4bit-smashed | null | [
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViT_Flower102_2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "ViT_Flower102_2", "results": []}]} | KietZer0/ViT_Flower102_2 | null | [
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| ViT\_Flower102\_2
=================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1502
* Accuracy: 0.9755
* Precision: 0.9755
* Recall: 0.9755
* F1: 0.9755
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/JackFram-llama-68m-bnb-4bit-smashed | null | [
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#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": []} | shidowake/240403-SwalMS7b-CVec-co0.5-mist-inst-v0.1-co0.5-openchat_3.5-co0.3-Hermes2Pro | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"language": ["en"], "license": "llama2", "library_name": "peft"} | arumaekawa/gum-70b-nuc | null | [
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"en",
"license:llama2",
"region:us"
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#peft #en #license-llama2 #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"language": ["en"], "license": "llama2", "library_name": "peft"} | arumaekawa/rstdt-70b-rel_with_nuc | null | [
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#peft #en #license-llama2 #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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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="osman93/q-FrozenLake-v1-4x4", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "metrics": [{... | osman93/q-FrozenLake-v1-4x4 | null | [
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#FrozenLake-v1-4x4 #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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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/ftfalcon1bnegative | null | [
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#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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text-generation | transformers | interchangable !!!
# Uploaded model
Actually my Got to Lora Quite large training cycle so when applying to merged misrals it does realign them . i usually apply this lora to each model premerge , so the outcome will also be merged with this lora , and recieve some traing with dolphin databases ; hopefully still alli... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_3.0"} | LeroyDyer/Mixtral_AI_Cyber_Dolphin_LORA | null | [
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| interchangable !!!
# Uploaded model
Actually my Got to Lora Quite large training cycle so when applying to merged misrals it does realign them . i usually apply this lora to each model premerge , so the outcome will also be merged with this lora , and recieve some traing with dolphin databases ; hopefully still alli... | [
"# Uploaded model\n\n\nActually my Got to Lora Quite large training cycle so when applying to merged misrals it does realign them . i usually apply this lora to each model premerge , so the outcome will also be merged with this lora , and recieve some traing with dolphin databases ; hopefully still alligned to the... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** jberni29
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | jberni29/IsenHumour | null | [
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|
# Uploaded model
- Developed by: jberni29
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Information
Azzurro is an updated version of [Mistral-7B-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf), specifically fine-tuned with SFT and LoRA adjustments.
- It's trained on publicly available datasets, like [SQUAD-it](https://huggingface.co/datasets/squad_it), and datasets we've created in-h... | {"language": ["it", "en"], "license": "mit", "library_name": "transformers", "tags": ["sft", "it", "mistral", "chatml"]} | MoxoffSpA/Azzurro | null | [
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| Model Information
=================
Azzurro is an updated version of Mistral-7B-v0.2, specifically fine-tuned with SFT and LoRA adjustments.
* It's trained on publicly available datasets, like SQUAD-it, and datasets we've created in-house.
* it's designed to understand and maintain context, making it ideal for Retr... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Question_Generation_ComQ_13
This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_12](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Gayathri142214002/Question_Generation_ComQ_12", "model-index": [{"name": "Question_Generation_ComQ_13", "results": []}]} | Gayathri142214002/Question_Generation_ComQ_13 | null | [
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| Question\_Generation\_ComQ\_13
==============================
This model is a fine-tuned version of Gayathri142214002/Question\_Generation\_ComQ\_12 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2058
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codet5-small-v33
This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5-small", "model-index": [{"name": "codet5-small-v33", "results": []}]} | chathuranga-jayanath/codet5-small-v33 | null | [
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| codet5-small-v33
================
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1783
* Bleu Score: 0.0008
* Gen Len: 13.3646
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 30\n* eval\\_batch\\_size: 30\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\n* mixed\\_prec... | [
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text-generation | transformers |
# LightChatAssistant-2x7B
#### GGUF量子化は[こちら](https://huggingface.co/Sdff-Ltba/LightChatAssistant-2x7B-GGUF)
#### より日本語を自然にする調整を手作業で施した[LightChatAssistant-TypeB-2x7Bを製作しました。](https://huggingface.co/Sdff-Ltba/LightChatAssistant-TypeB-2x7B)
#### 使用モデルを4つに増やした4x7B版を[Aratakoさん](https://huggingface.co/Aratako)が開発してくださいまし... | {"language": ["ja"], "tags": ["mistral", "mixtral", "merge", "moe", "not-for-all-audiences", "nsfw"], "base_model": ["NTQAI/chatntq-ja-7b-v1.0", "Elizezen/Antler-7B"], "pipeline_tag": "text-generation"} | Sdff-Ltba/LightChatAssistant-2x7B | null | [
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"region:us... | null | 2024-04-03T09:18:19+00:00 | [] | [
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|
# LightChatAssistant-2x7B
#### GGUF量子化はこちら
#### より日本語を自然にする調整を手作業で施したLightChatAssistant-TypeB-2x7Bを製作しました。
#### 使用モデルを4つに増やした4x7B版をAratakoさんが開発してくださいました。こちらからご覧ください。
日本語が滑らかで、高速なチャット・ノベル生成モデルを目指して作成しました。
32kのContextSize対応、iQ3_XXS量子化でVRAM12GBでフルロード可能なモデルです。
## モデル概要
パラメータ数が小さくても優秀なベンチマークスコアを持つ、Mistral7Bモデルをベースとした... | [
"# LightChatAssistant-2x7B",
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"#### より日本語を自然にする調整を手作業で施したLightChatAssistant-TypeB-2x7Bを製作しました。",
"#### 使用モデルを4つに増やした4x7B版をAratakoさんが開発してくださいました。こちらからご覧ください。\n\n日本語が滑らかで、高速なチャット・ノベル生成モデルを目指して作成しました。\n32kのContextSize対応、iQ3_XXS量子化でVRAM12GBでフルロード可能なモデルです。",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GPT2-APPS10k
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "GPT2-APPS10k", "results": []}]} | AdnanRiaz107/GPT2-APPS10k | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T09:18:48+00:00 | [] | [] | TAGS
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| GPT2-APPS10k
============
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9059
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
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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": []} | tomaszki/stablelm-6 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pythia-160m-squad-qa-2024-04-03-11-18-DyLwj
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "pythia-160m-squad-qa-2024-04-03-11-18-DyLwj", "results": []}]} | frenkd/pythia-160m-squad-qa-2024-04-03-11-18-DyLwj | null | [
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| pythia-160m-squad-qa-2024-04-03-11-18-DyLwj
===========================================
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6130
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pythia-14m-squad-qa-2024-04-03-11-18-bEYK4
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "pythia-14m-squad-qa-2024-04-03-11-18-bEYK4", "results": []}]} | frenkd/pythia-14m-squad-qa-2024-04-03-11-18-bEYK4 | null | [
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-03T09:19:45+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #question-answering #generated_from_trainer #base_model-EleutherAI/pythia-14m #endpoints_compatible #text-generation-inference #region-us
| pythia-14m-squad-qa-2024-04-03-11-18-bEYK4
==========================================
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7761
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Trai... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pythia-70m-squad-qa-2024-04-03-11-18-5mhcj
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "pythia-70m-squad-qa-2024-04-03-11-18-5mhcj", "results": []}]} | frenkd/pythia-70m-squad-qa-2024-04-03-11-18-5mhcj | null | [
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"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T09:19:46+00:00 | [] | [] | TAGS
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| pythia-70m-squad-qa-2024-04-03-11-18-5mhcj
==========================================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8229
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/fufu001](https://huggingface... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/fufu001", "coffie3/s31x"]} | Sumail/Barista25 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/fufu001
* coffie3/s31x
### Configuration
The following YAML conf... | [
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"## Merge Details",
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"### Configur... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"language": ["en"], "license": "llama2", "library_name": "peft"} | arumaekawa/gum-70b-rel_with_nuc | null | [
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"region:us"
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"en"
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#peft #en #license-llama2 #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- llm_int8_skip_modules: None
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/JackFram-llama-68m-bnb-8bit-smashed | null | [
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#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | Ino4Dev/sampleTrainModel | null | [
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"region:us"
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#peft #pytorch #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | null |
Use with
https://huggingface.co/Qwen/Qwen1.5-32B
Prompt Example:
```
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?... | {"license": "mit", "datasets": ["KnutJaegersberg/Deita-6k"]} | KnutJaegersberg/Deita-32b-adapter | null | [
"safetensors",
"dataset:KnutJaegersberg/Deita-6k",
"license:mit",
"region:us"
] | null | 2024-04-03T09:23:21+00:00 | [] | [] | TAGS
#safetensors #dataset-KnutJaegersberg/Deita-6k #license-mit #region-us
|
Use with
URL
Prompt Example:
| [] | [
"TAGS\n#safetensors #dataset-KnutJaegersberg/Deita-6k #license-mit #region-us \n"
] | [
28
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"TAGS\n#safetensors #dataset-KnutJaegersberg/Deita-6k #license-mit #region-us \n"
] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/trl-internal-testing-dummy-GPT2-correct-vocab-bnb-4bit-smashed | null | [
"transformers",
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"gpt2",
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"region:us"
] | null | 2024-04-03T09:24:38+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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"TAGS\n#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress... |
text-generation | transformers |
# Occiglot-7B-DE-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-DE-EN-Instruct** is a th... | {"language": ["en", "de"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-de-en-instruct-AWQ | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-03T09:25:04+00:00 | [] | [
"en",
"de"
] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #en #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| !image/png
Occiglot-7B-DE-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-DE-EN-Instruct is a the instruct version of occiglot-7b-eu5, a generative language model with 7B parameters supporting German and English and trained by the Occiglot Research Col... | [
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-de-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, German, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: Manuel Brack, Patrick Schramowski, Pedro Ortiz, Malte Ostendorff, Fabi... | [
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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": []} | tomaszki/stablelm-6-copy | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T09:25:10+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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audio-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. -->
# violence-detect-44
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "violence-detect-44", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audi... | Hemg/violence-detect-44 | null | [
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| violence-detect-44
==================
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3533
* Accuracy: 0.8933
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-to-image | null | ### astro Dreambooth model trained by ankitanand90 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 2322827
Sample pictures of this concept:
.png)
![1](https://huggingfac... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | ankitanand90/astro | null | [
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| ### astro Dreambooth model trained by ankitanand90 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 2322827
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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. -->
# wav2vec2-tamil-finetuned-700
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/faceboo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-tamil-finetuned-700", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"... | Vignesh-M/wav2vec2-tamil-finetuned-700 | null | [
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| wav2vec2-tamil-finetuned-700
============================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9989
* Wer: 0.7428
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
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![Twitter](URL
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# symptom-check-april-3
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "symptom-check-april-3", "results": []}]} | akhileshav8/symptom-check-april-3 | null | [
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| symptom-check-april-3
=====================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6371
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-generation | transformers |
# Gemma-2b-ties
Gemma-2b-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [jiayihao03/gemma2b_code_java](https://huggingface.co/jiayihao03/gemma2b_code_java)
* [jiayihao03/gemma_2b_code_python_4bit](https://huggingface.co/jiayihao03/gemma_2b_code_python_4bit)
## 🧩 Confi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "jiayihao03/gemma2b_code_java", "jiayihao03/gemma_2b_code_python_4bit"]} | Natch69/Gemma-2b-ties | null | [
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|
# Gemma-2b-ties
Gemma-2b-ties is a merge of the following models using mergekit:
* jiayihao03/gemma2b_code_java
* jiayihao03/gemma_2b_code_python_4bit
## Configuration
\ | [
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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": []} | gsstein/model-0-baseline-llama | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 trip alarm"}, {"text": "Tiong Bahru Plaza, DDC L4-1, PAU-L4-03 supply air temperature (Units: \u00b0C).2"},... | Varun1010/all-MiniLM-L6-v2-polaris-more | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
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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. -->
# impaired-v3-independent-mild
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisp... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["honzapucalek/impaired_v3_independent_mild"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "impaired-v3-independent-mild", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic ... | honzapucalek/impaired-v3-independent-mild | null | [
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| impaired-v3-independent-mild
============================
This model is a fine-tuned version of openai/whisper-large-v3 on the honzapucalek/impaired\_v3\_independent\_mild cs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5302
* Wer: 0.1473
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | transformers |
# reach-vb/gemma-2b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`google/gemma-2b-it`](https://huggingface.co/google/gemma-2b-it) using llama.cpp.
Refer to the [original model card](https://huggingface.co/google/gemma-2b-it) for more details on the model.
## Use with llama.cpp
```bash
brew install gge... | {"license": "gemma", "library_name": "transformers", "tags": ["llama-cpp"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging ... | reach-vb/gemma-2b-it-Q4_K_M-GGUF | null | [
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|
# reach-vb/gemma-2b-it-Q4_K_M-GGUF
This model was converted to GGUF format from 'google/gemma-2b-it' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-7 | 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": []} | AvizvaSolutions/testVersion-4 | null | [
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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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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. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-ner", "results": []}]} | SpectrumCrovn/distilbert-base-uncased-finetuned-ner | null | [
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| distilbert-base-uncased-finetuned-ner
=====================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0595
* Precision: 0.9230
* Recall: 0.9350
* F1: 0.9290
* Accuracy: 0.9832
Model descri... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/wiki_asp-educational_institution_3034_bart-base | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
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You can then generate te... | [
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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": []} | tomaszki/stablelm-7-copy | null | [
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text-classification | bertopic |
# BERTopic_ArXiv
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic
```
... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | shantanudave/BERTopic_ArXiv | null | [
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#bertopic #text-classification #region-us
| BERTopic\_ArXiv
===============
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic overview
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text-generation | transformers | <!-- header start -->
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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": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.2 | null | [
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translation | transformers |
# M2M100 418M
M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation.
It was introduced in this [paper](https://arxiv.org/abs/2010.11125) and first released in [this](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100) repository.
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M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation.
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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 Hre 4.1 - male and female voice - 600 steps, metric CER
This model is a fine-tuned version of [openai/whisper-smal... | {"language": ["hre"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ntviet/Hre-audio-dataset4"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hre 4.1 - male and female voice - 600 steps, metric CER", "results": []}]} | ntviet/whisper-small-hre4.1 | null | [
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| Whisper Small Hre 4.1 - male and female voice - 600 steps, metric CER
=====================================================================
This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0779
* Cer Ort... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/sl36 | 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": []} | 0x0uncle0/uncle17 | null | [
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text-generation | transformers | <!-- header start -->
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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. -->
# computer_parts_classifier-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "computer_parts_classifier-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "datas... | PhuntshoYoezer/computer_parts_classifier-model | null | [
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| computer\_parts\_classifier-model
=================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5117
* Accuracy: 0.8138
Model description
-----------------
More information ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/fufu004](https://huggingface... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/fufu004", "GamblerOnTrain/fufu001"]} | Sumail/Barista26 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/fufu004
* GamblerOnTrain/fufu001
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text2text-generation | transformers | questions-1 | {"datasets": ["allenai/sciq"]} | kxv26/fiona | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-ner", "results": []}]} | Gabescu/distilbert-base-uncased-finetuned-ner | null | [
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| distilbert-base-uncased-finetuned-ner
=====================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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* Precision: 0.9244
* Recall: 0.9368
* F1: 0.9305
* Accuracy: 0.9836
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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": []} | Jairnetojp/content-moderation-bad-classes | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-generation | null |
# LightChatAssistant-2x7B-GGUF
#### より日本語を自然にする調整を手作業で施した[LightChatAssistant-TypeB-2x7Bを製作しました。](https://huggingface.co/Sdff-Ltba/LightChatAssistant-TypeB-2x7B-GGUF)
[Sdff-Ltba/LightChatAssistant-2x7B](https://huggingface.co/Sdff-Ltba/LightChatAssistant-2x7B)をGGUF変換したものです。
ファイル名に`_imatrix`が付いているものはiMatrixを併用して量子化してい... | {"language": ["ja"], "tags": ["mistral", "mixtral", "merge", "moe", "not-for-all-audiences", "nsfw"], "base_model": ["NTQAI/chatntq-ja-7b-v1.0", "Elizezen/Antler-7B"], "pipeline_tag": "text-generation"} | Sdff-Ltba/LightChatAssistant-2x7B-GGUF | null | [
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|
# LightChatAssistant-2x7B-GGUF
#### より日本語を自然にする調整を手作業で施したLightChatAssistant-TypeB-2x7Bを製作しました。
Sdff-Ltba/LightChatAssistant-2x7BをGGUF変換したものです。
ファイル名に'_imatrix'が付いているものはiMatrixを併用して量子化しています。
※製作者は本モデルを使うときはiQ3_XXSを使用しています。
## 量子化手順
以下の通りに実行しました。(iMatrixを併用してiQ3_XXSにする場合)
## 環境
- CPU: Ryzen 5 5600X
- GPU: GeForce... | [
"# LightChatAssistant-2x7B-GGUF",
"#### より日本語を自然にする調整を手作業で施したLightChatAssistant-TypeB-2x7Bを製作しました。\n\nSdff-Ltba/LightChatAssistant-2x7BをGGUF変換したものです。\nファイル名に'_imatrix'が付いているものはiMatrixを併用して量子化しています。\n※製作者は本モデルを使うときはiQ3_XXSを使用しています。",
"## 量子化手順\n\n以下の通りに実行しました。(iMatrixを併用してiQ3_XXSにする場合)",
"## 環境\n\n- CPU: Ryzen... | [
"TAGS\n#gguf #mistral #mixtral #merge #moe #not-for-all-audiences #nsfw #text-generation #ja #base_model-NTQAI/chatntq-ja-7b-v1.0 #base_model-Elizezen/Antler-7B #region-us \n",
"# LightChatAssistant-2x7B-GGUF",
"#### より日本語を自然にする調整を手作業で施したLightChatAssistant-TypeB-2x7Bを製作しました。\n\nSdff-Ltba/LightChatAssistant-2x7B... | [
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"TAGS\n#gguf #mistral #mixtral #merge #moe #not-for-all-audiences #nsfw #text-generation #ja #base_model-NTQAI/chatntq-ja-7b-v1.0 #base_model-Elizezen/Antler-7B #region-us \n# LightChatAssistant-2x7B-GGUF#### より日本語を自然にする調整を手作業で施したLightChatAssistant-TypeB-2x7Bを製作しました。\n\nSdff-Ltba/LightChatAssistant-2x7BをGGUF変換したもので... |
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. -->
# wav2vec-turkish-1b
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec-turkish-1b", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "datase... | tgrhn/wav2vec2-turkish-300m | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_16_1",
"base_model:facebook/wav2vec2-xls-r-300m",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T09:50:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #model-index #endpoints_compatible #region-us
| wav2vec-turkish-1b
==================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2368
* Wer: 0.2462
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_step... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were ... |
text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "i seem to remember it was gold dust not willy wonka style gold tickets but i m feeling generous and although i liked the new faceplate for me the ... | vidhi0206/setfit-paraphrase-mpnet-base-v2-emotion_comp | null | [
"setfit",
"safetensors",
"mpnet",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/paraphrase-mpnet-base-v2",
"model-index",
"region:us"
] | null | 2024-04-03T09:50:51+00:00 | [
"2209.11055"
] | [] | TAGS
#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us
| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 6 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Pap... | [
"TAGS\n#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us \n",
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