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null | null | # 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... | {"license": "openrail"} | WUMEICHARLIE/mytrineo | null | [
"arxiv:1910.09700",
"license:openrail",
"region:us"
] | null | 2024-04-20T02:25:11+00:00 | [
"1910.09700"
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#arxiv-1910.09700 #license-openrail #region-us
| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | weifar/llama3-8b-500 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta-v3-xsmall-otat-recommened-hp
This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-xsmall", "model-index": [{"name": "deberta-v3-xsmall-otat-recommened-hp", "results": [{"task": {"type"... | DandinPower/deberta-v3-xsmall-otat-recommened-hp | null | [
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"base_model:microsoft/deberta-v3-xsmall",
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| deberta-v3-xsmall-otat-recommened-hp
====================================
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0799
* Accuracy: 0.6391
* Macro F1: 0.6372
Model descr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4.5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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text-generation | transformers |
# Poscye-oohdl3s-8B
poscye-oohdl3s-8B is a merge of the following models using [mergekit](https://github.com/arcee-ai/mergekit):
* [mlabonne/OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B)
* [Muhammad200... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "text-generation-inference", "transformers", "slerp", "llama-3-8B", "merge", "mergekit"], "datasets": ["mlabonne/orpo-dpo-mix-40k", "mlabonne/chatml-OpenHer... | pabloce/poscye-oohdl3s-8B | null | [
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"dataset:mlabonne/orpo-dpo-mix-40k",
"dataset:mlabonne/chatml-OpenHermes... | null | 2024-04-20T02:31:17+00:00 | [] | [
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# Poscye-oohdl3s-8B
!image/png
poscye-oohdl3s-8B is a merge of the following models using mergekit:
* mlabonne/OrpoLlama-3-8B
* Muhammad2003/Llama3-8B-OpenHermes-DPO
## Configuration
| [
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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": []} | tiya1012/suicidepost_BERT | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zhenchuan/code-search-net-tokenizer | null | [
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null | null |
<style>
.title-container {
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height: 100vh; /* Adjust this value to position the title vertically */
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.title {
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text-align: center;
color: #333;
font-family: "lucida sans unicode", "lucida grande", san... | {"license": "unknown"} | pettankoutei/pettankoRouramashin_PonySRv1 | null | [
"license:unknown",
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#license-unknown #region-us
|
<style>
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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. -->
# arazn-whisper-small-v2
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "arazn-whisper-small-v2", "results": []}]} | ahmedheakl/arazn-whisper-small | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T02:38:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
|
# arazn-whisper-small-v2
This model is a fine-tuned version of openai/whisper-small on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
"# arazn-whisper-small-v2\n\nThis model is a fine-tuned version of openai/whisper-small on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | transformers |
# Uploaded model
- **Developed by:** smsaurabhv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | smsaurabhv/mistralnew1 | null | [
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"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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"en"
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|
# Uploaded model
- Developed by: smsaurabhv
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-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 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": []} | Grayx/sad_llama_5 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_0_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_10k_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_10k_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_10k_helpfulness_dataset"]} | BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_0_adapter | null | [
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|
# Adapter 'BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_0_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_10k_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## ... | [
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text-generation | transformers |
# solar-merge-v1.0
solar-merge-v1.0 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
* [heavytail/kul... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "upstage/SOLAR-10.7B-Instruct-v1.0", "heavytail/kullm-solar"], "base_model": ["upstage/SOLAR-10.7B-Instruct-v1.0", "heavytail/kullm-solar"]} | jieunhan/solar-merge-v1.0 | null | [
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"... | null | 2024-04-20T02:43:48+00:00 | [] | [] | TAGS
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# solar-merge-v1.0
solar-merge-v1.0 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* upstage/SOLAR-10.7B-Instruct-v1.0
* heavytail/kullm-solar
## Configuration
## Usage
| [
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translation | transformers.js | ERROR: type should be string, got "\n\nhttps://hf.co/vinai/vinai-translate-en2vi-v2 with ONNX weights to be compatible with Transformers.js.\n\nPlease check out this demo using the model:\n[](https://huggingface.co/spaces/huuquyet/translator-tamagui)\n\n\n# A Vietnamese-English Neural Machine Translation System\n\nOur pre-trained VinAI Translate models are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respectively. The general architecture and experimental results of VinAI Translate can be found in [our paper](https://openreview.net/forum?id=CRg-RaxKnai):\n\n\n @inproceedings{vinaitranslate,\n title = {{A Vietnamese-English Neural Machine Translation System}},\n author = {Thien Hai Nguyen and \n Tuan-Duy H. Nguyen and \n Duy Phung and \n Duy Tran-Cong Nguyen and \n Hieu Minh Tran and \n Manh Luong and \n Tin Duy Vo and \n Hung Hai Bui and \n Dinh Phung and \n Dat Quoc Nguyen},\n booktitle = {Proceedings of the 23rd Annual Conference of the International Speech Communication Association: Show and Tell (INTERSPEECH)},\n year = {2022}\n }\n \nPlease **CITE** our paper whenever the pre-trained models or the system are used to help produce published results or incorporated into other software.\nFor further information or requests, please go to [VinAI Translate's homepage](https://github.com/VinAIResearch/VinAI_Translate)!" | {"language": ["vi", "en"], "license": "wtfpl", "library_name": "transformers.js", "pipeline_tag": "translation"} | huuquyet/vinai-translate-en2vi-v2 | null | [
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URL with ONNX weights to be compatible with URL.
Please check out this demo using the model:
![Open in Spaces](URL
# A Vietnamese-English Neural Machine Translation System
Our pre-trained VinAI Translate models are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respe... | [
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text-to-speech | 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. -->
# speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/... | {"license": "mit", "tags": ["generated_from_trainer", "text-to-speech"], "datasets": ["facebook/voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_voxpopuli_nl", "results": []}]} | vadhri/speecht5_finetuned_voxpopuli_nl | null | [
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"text-to-audio",
"generated_from_trainer",
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"dataset:facebook/voxpopuli",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-20T02:51:15+00:00 | [] | [] | TAGS
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| speecht5\_finetuned\_voxpopuli\_nl
==================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4559
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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sentence-similarity | transformers |
<!-- **English** | [中文](./README_zh.md) -->
# gte-base-en-v1.5
We introduce `gte-v1.5` series, upgraded `gte` embeddings that support the context length of up to **8192**, while further enhancing model performance.
The models are built upon the `transformer++` encoder [backbone](https://huggingface.co/Alibaba-NLP/... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["sentence-transformers", "gte", "mteb", "transformers.js", "sentence-similarity"], "model-index": [{"name": "gte-base-en-v1.5", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassifica... | Alibaba-NLP/gte-base-en-v1.5 | null | [
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"en",
"arxiv:2308.03281",
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"en"
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| gte-base-en-v1.5
================
We introduce 'gte-v1.5' series, upgraded 'gte' embeddings that support the context length of up to 8192, while further enhancing model performance.
The models are built upon the 'transformer++' encoder backbone (BERT + RoPE + GLU).
The 'gte-v1.5' series achieve state-of-the-art sco... | [
"### Model list\n\n\n\nHow to Get Started with the Model\n---------------------------------\n\n\nUse the code below to get started with the model.\n\n\nIt is recommended to install xformers and enable unpadding for acceleration, refer to enable-unpadding-and-xformers.\n\n\nUse with 'sentence-transformers':\n\n\nUse... | [
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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": []} | Giorgoss/watch-ft | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T02:54:10+00:00 | [
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] | [] | 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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- 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. -->
# watch-assistant-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBlok... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "watch-assistant-ft", "results": []}]} | Giorgoss/watch-assistant-ft | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| watch-assistant-ft
==================
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6518
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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sentence-similarity | transformers |
<!-- **English** | [中文](./README_zh.md) -->
# gte-large-en-v1.5
We introduce `gte-v1.5` series, upgraded `gte` embeddings that support the context length of up to **8192**, while further enhancing model performance.
The models are built upon the `transformer++` encoder [backbone](https://huggingface.co/Alibaba-NLP/n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["sentence-transformers", "gte", "mteb", "transformers.js", "sentence-similarity"], "datasets": ["allenai/c4"], "model-index": [{"name": "gte-large-en-v1.5", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB A... | Alibaba-NLP/gte-large-en-v1.5 | null | [
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"2308.03281"
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| gte-large-en-v1.5
=================
We introduce 'gte-v1.5' series, upgraded 'gte' embeddings that support the context length of up to 8192, while further enhancing model performance.
The models are built upon the 'transformer++' encoder backbone (BERT + RoPE + GLU).
The 'gte-v1.5' series achieve state-of-the-art s... | [
"### Model list\n\n\n\nHow to Get Started with the Model\n---------------------------------\n\n\nUse the code below to get started with the model.\n\n\nIt is recommended to install xformers and enable unpadding for acceleration, refer to enable-unpadding-and-xformers.\n\n\nUse with sentence-transformers:\n\n\nUse w... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | stuvx/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-20T02:56:13+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
text-generation | transformers | 
---
language:
- zh
license: apache-2.0
metrics:
- accuracy
pipeline_tag: text-generation
---
>> It's not a chat model, just using Wizard-LM-Chinese-instruct-evol datesets training with several steps ... | {} | BoyangZ/llama3_chinese_basemode_ftv1 | null | [
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#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/png
---
language:
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license: apache-2.0
metrics:
- accuracy
pipeline_tag: text-generation
---
>> It's not a chat model, just using Wizard-LM-Chinese-instruct-evol datesets training with several steps for test the model typical Chinese skill，
>> this is version1, will release version2 for more long context w... | [] | [
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null | adapter-transformers |
# Adapter `BigTMiami/amz_10k_seq_bn_help_tapt_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_10k_helpfulness_dataset_condensed](https://huggingface.co/datasets/BigTMiami/amazon_10k_helpfulness_dataset_condensed/) dataset an... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_10k_helpfulness_dataset_condensed"]} | BigTMiami/amz_10k_seq_bn_help_tapt_pretrain_adapter | null | [
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# Adapter 'BigTMiami/amz_10k_seq_bn_help_tapt_pretrain_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_10k_helpfulness_dataset_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## U... | [
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text-generation | transformers |
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
- Rope-theta = 1e6
- No Sliding-Window Attenti... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | vicky4s4s/mistral-v.2 | null | [
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"arxiv:2310.06825",
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|
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
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- No Sliding-Window Attenti... | [
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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_1_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_10k_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_10k_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_10k_helpfulness_dataset"]} | BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_1_adapter | null | [
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"roberta",
"dataset:BigTMiami/amazon_10k_helpfulness_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_10k_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_1_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_10k_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | foolunderscore/GlennAI-04.19.2024 | null | [
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"region:us"
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#transformers #safetensors #gpt2 #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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- Funded by [optional]:
- Shared by [optional]:
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "google/vit-base-patch16-224-in21k"} | pintu5057/vit-base-patch16-224-in21k-finetuned-lora-food101 | null | [
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#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-google/vit-base-patch16-224-in21k #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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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. -->
# 0.0_ablation_declr_6iters_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_6iters_iter_3](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_6iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_6iters_iter_3", "model-index": [{"name": "0.0_ablation_declr_6iters_iter_4", "results": []}]} | ZhangShenao/0.0_ablation_declr_6iters_iter_4 | null | [
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"license:mit",
"autotrain_compatibl... | null | 2024-04-20T03:21:32+00:00 | [] | [] | TAGS
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# 0.0_ablation_declr_6iters_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_6iters_iter_3 on the ZhangShenao/0.0_ablation_declr_6iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
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": []} | Grayx/sad_llama_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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Replete-AI/Llama-3-11.5B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "Replete-AI/Llama-3-11.5B-v2", "license_link": "https://llama.meta.com/llama3/license/", "license_name": "llama-3", "quantized_by": "mradermacher"} | mradermacher/Llama-3-11.5B-v2-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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translation | transformers.js | ERROR: type should be string, got "\n\nhttps://hf.co/vinai/vinai-translate-vi2en-v2 with ONNX weights to be compatible with Transformers.js.\n\nPlease check out this demo using the model:\n[](https://huggingface.co/spaces/huuquyet/translator-tamagui)\n\n\n# A Vietnamese-English Neural Machine Translation System\n\nOur pre-trained VinAI Translate models are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respectively. The general architecture and experimental results of VinAI Translate can be found in [our paper](https://openreview.net/forum?id=CRg-RaxKnai):\n\n\n @inproceedings{vinaitranslate,\n title = {{A Vietnamese-English Neural Machine Translation System}},\n author = {Thien Hai Nguyen and \n Tuan-Duy H. Nguyen and \n Duy Phung and \n Duy Tran-Cong Nguyen and \n Hieu Minh Tran and \n Manh Luong and \n Tin Duy Vo and \n Hung Hai Bui and \n Dinh Phung and \n Dat Quoc Nguyen},\n booktitle = {Proceedings of the 23rd Annual Conference of the International Speech Communication Association: Show and Tell (INTERSPEECH)},\n year = {2022}\n }\n \nPlease **CITE** our paper whenever the pre-trained models or the system are used to help produce published results or incorporated into other software.\nFor further information or requests, please go to [VinAI Translate's homepage](https://github.com/VinAIResearch/VinAI_Translate)!" | {"language": ["vi", "en"], "license": "wtfpl", "library_name": "transformers.js", "pipeline_tag": "translation"} | huuquyet/vinai-translate-vi2en-v2 | null | [
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|
URL with ONNX weights to be compatible with URL.
Please check out this demo using the model:
![Open in Spaces](URL
# A Vietnamese-English Neural Machine Translation System
Our pre-trained VinAI Translate models are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respe... | [
"# A Vietnamese-English Neural Machine Translation System\n\nOur pre-trained VinAI Translate models are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respectively. The general architecture and experimental results of VinAI Translate can be found in our paper:\n\n\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": []} | zzttbrdd/sn6_03l | null | [
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"text-generation",
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"text-generation-inference",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta-v3-small-otat-recommened-hp
This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/mi... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-small", "model-index": [{"name": "deberta-v3-small-otat-recommened-hp", "results": [{"task": {"type": ... | DandinPower/deberta-v3-small-otat-recommened-hp | null | [
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| deberta-v3-small-otat-recommened-hp
===================================
This model is a fine-tuned version of microsoft/deberta-v3-small on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6500
* Accuracy: 0.6229
* Macro F1: 0.6240
Model descript... | [
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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 Dv - BanUrsus
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["dv"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Dv - BanUrsus", "results": []}]} | BanUrsus/whisper-small-dv | null | [
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| Whisper Small Dv - BanUrsus
===========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2999
* Wer Ortho: 56.6961
* Wer: 10.8095
Model description
-----------------
More information need... | [
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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_2_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_10k_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_10k_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_10k_helpfulness_dataset"]} | BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_2_adapter | null | [
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"dataset:BigTMiami/amazon_10k_helpfulness_dataset",
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_10k_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_2_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_10k_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | zzttbrdd/sn6_00l | null | [
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"region:us"
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- 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. -->
# style-treasury-from-mistral
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/M... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "style-treasury-from-mistral", "results": []}]} | RuoxiL/style-treasury-from-mistral | null | [
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"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-20T03:31:01+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# style-treasury-from-mistral
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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text-generation | transformers |
# Model Card for LLaVA-LLaMA-3-8B
<!-- Provide a quick summary of what the model is/does. -->
A reproduced LLaVA LVLM based on Llama-3-8B LLM backbone. Not an official implementation.
Please follow my reproduced implementation [LLaVA-Llama-3](https://github.com/Victorwz/LLaVA-Llama-3/) for more details on fine-tunin... | {"language": ["en"], "license": "cc", "datasets": ["liuhaotian/LLaVA-Instruct-150K", "liuhaotian/LLaVA-Pretrain"]} | weizhiwang/LLaVA-Llama-3-8B | null | [
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| Model Card for LLaVA-LLaMA-3-8B
===============================
A reproduced LLaVA LVLM based on Llama-3-8B LLM backbone. Not an official implementation.
Please follow my reproduced implementation LLaVA-Llama-3 for more details on fine-tuning LLaVA model with Llama-3 as the foundatiaon LLM.
Model Details
----------... | [] | [
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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. -->
# byt5_add
This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown datas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/byt5-small", "model-index": [{"name": "byt5_add", "results": []}]} | AlexWang99/byt5_add | null | [
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"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/byt5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T03:34:27+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/byt5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# byt5_add
This model is a fine-tuned version of google/byt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0003
- eval_runtime: 10.8156
- eval_samples_per_second: 924.594
- eval_steps_per_second: 1.202
- epoch: 51.0
- step: 1275
## Model description
More info... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | yunkimmy/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-20T03:35:01+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
image-to-image | diffusers | This is the inpainting version of RealVisXL_V4 in diffusers "fp16" format.
Original model: https://huggingface.co/SG161222/RealVisXL_V4.0
| {"license": "openrail++"} | OzzyGT/RealVisXL_V4.0_inpainting | null | [
"diffusers",
"license:openrail++",
"diffusers:StableDiffusionXLInpaintPipeline",
"region:us",
"has_space"
] | null | 2024-04-20T03:37:36+00:00 | [] | [] | TAGS
#diffusers #license-openrail++ #diffusers-StableDiffusionXLInpaintPipeline #region-us #has_space
| This is the inpainting version of RealVisXL_V4 in diffusers "fp16" format.
Original model: URL
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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. -->
# robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-25 | null | [
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"text-generation-inference",
"region:us"
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|
# robust_llm_pythia-160m_ian-022_PasswordMatch_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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"## Intended uses & limitations\n\nMore information needed",
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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. -->
# 0.0_ablation_declr_4iters4e6_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_4iters4e6_iter_2](http... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_4iters4e6_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_4iters4e6_iter_2", "model-index": [{"name": "0.0_ablation_declr_4iters4e6_iter_3", "results... | ZhangShenao/0.0_ablation_declr_4iters4e6_iter_3 | null | [
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"license:mit",
"autotrain_com... | null | 2024-04-20T03:41:12+00:00 | [] | [] | TAGS
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# 0.0_ablation_declr_4iters4e6_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_4iters4e6_iter_2 on the ZhangShenao/0.0_ablation_declr_4iters4e6_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
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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-large-xls-r-300m-firdous-nep-colab
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-large-xls-r-300m-firdous-nep-colab", "results": []}]} | f77777/wav2vec2-large-xls-r-300m-firdous-nep-colab | null | [
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|
# wav2vec2-large-xls-r-300m-firdous-nep-colab
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_13_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## ... | [
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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": []} | BuroIdentidadDigital/formaMigratoria_Frontal_v0 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# cnn_dailymail_8824_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "cnn_dailymail_8824_bart-base", "results": []}]} | baek26/cnn_dailymail_8824_bart-base | null | [
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] | null | 2024-04-20T03:43:59+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| cnn\_dailymail\_8824\_bart-base
===============================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9201
* Rouge1: 0.2472
* Rouge2: 0.1256
* Rougel: 0.2063
* Rougelsum: 0.2331
* Gen Len: 20.0
Model descr... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers pipeline that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "diffusers"} | Hiroto0126/repo | null | [
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"1910.09700"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers pipeline 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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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-general-stories
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-general-stories", "results": []}]} | Vexemous/distilgpt2-finetuned-general-stories | null | [
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| distilgpt2-finetuned-general-stories
====================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.0063
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ResplendentAI/Aura_L3_8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/Aura_L3_8B", "quantized_by": "mradermacher"} | mradermacher/Aura_L3_8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | Sahil998/codegen-350M-mono-finetuned-python-18k-alpaca_50_percent_30epochs | null | [
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|
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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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- License... | [
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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": []} | Sahil998/codegen-350M-mono-finetuned-python-18k-alpaca_50_percent_30pochs | null | [
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# Model Card for Model ID
## Model Details
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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. -->
# MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned
The model is created as a part of the project: linkwillbeaddedlater.
This... | {"tags": ["generated_from_trainer"], "datasets": ["knkarthick/dialogsum"], "base_model": "MingZhong/DialogLED-base-16384", "model-index": [{"name": "MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned", "results": []}]} | StDestiny/MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned | null | [
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| MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned
=====================================================
The model is created as a part of the project: linkwillbeaddedlater.
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset.
It achieves the following results on the eva... | [
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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="dallonf/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"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": ... | dallonf/q-FrozenLake-v1-4x4-noSlippery | null | [
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"reinforcement-learning",
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#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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] |
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="dallonf/Q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/... | dallonf/Q-Taxi-v3 | null | [
"Taxi-v3",
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] | null | 2024-04-20T03:58:55+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 | adapter-transformers |
# Adapter `BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_3_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_10k_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_10k_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_10k_helpfulness_dataset"]} | BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_3_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_10k_helpfulness_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_10k_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_3_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_10k_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## ... | [
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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. -->
# cs_domain_pretrained_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the e... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "cs_domain_pretrained_model", "results": []}]} | ltuzova/cs_domain_pretrained_model | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #roberta #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# cs_domain_pretrained_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2410
- eval_runtime: 87.0838
- eval_samples_per_second: 114.832
- eval_steps_per_second: 1.803
- step: 0
## Model description
More information needed
## ... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-finetuned-kwsylchunk-64-8line
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-finetuned-kwsylchunk-64-8line", "results": []}]} | adamjweintraut/bart-finetuned-kwsylchunk-64-8line | null | [
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"text2text-generation",
"generated_from_trainer",
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"license:apache-2.0",
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#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bart-finetuned-kwsylchunk-64-8line
==================================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3752
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | null |
## Llamacpp Quantizations of opus-v1.2-llama-3-8b
This model has the <|eot_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> fork from pcuenca <a href="https://github.com/pcuenca/llama.cpp/tree/llama3-conver... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/opus-v1.2-llama-3-8b-GGUF | null | [
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"unsloth",
"axolotl",
"text-generation",
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"en"
] | TAGS
#gguf #unsloth #axolotl #text-generation #en #license-cc-by-nc-nd-4.0 #region-us
| Llamacpp Quantizations of opus-v1.2-llama-3-8b
----------------------------------------------
This model has the <|eot\_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="URL fork from pcuenca <a href="URL for quantization.
Original model: URL
All quants mad... | [] | [
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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": ["trl", "sft"]} | b2bp8ip/llama_mbpp_ft | null | [
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"sft",
"arxiv:1910.09700",
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T04:05:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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-classification | transformers | # Model description
This model is a fine-tuned model of [```intfloat/multilingual-e5-large```](https://huggingface.co/intfloat/multilingual-e5-large), trained with Indonesian police news data.
# How to use this model:
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = Auto... | {"language": ["id"], "library_name": "transformers"} | faizaulia/e5-fine-tune-polri-news-emotion | null | [
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"safetensors",
"xlm-roberta",
"text-classification",
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| # Model description
This model is a fine-tuned model of [](URL trained with Indonesian police news data.
# How to use this model:
# Label description:
0: Angry, 1: Fear, 2: Sad, 3: Neutral, 4: Happy, 5: Love
# Input text example:
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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": ["unsloth"]} | vessl/llama3-8b-ko-qlora-adapter | null | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
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] | [] | TAGS
#transformers #safetensors #unsloth #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 | adapter-transformers |
# Adapter `jgrc3/pfeiffer_adapter_classification_trained_lr0_0001` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifi... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/pfeiffer_adapter_classification_trained_lr0_0001 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-20T04:07:00+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/pfeiffer_adapter_classification_trained_lr0_0001' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
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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. -->
# deberta-v3-base-otat-recommened-hp
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/micr... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-otat-recommened-hp", "results": [{"task": {"type": "t... | DandinPower/deberta-v3-base-otat-recommened-hp | null | [
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| deberta-v3-base-otat-recommened-hp
==================================
This model is a fine-tuned version of microsoft/deberta-v3-base on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8654
* Accuracy: 0.6617
* Macro F1: 0.6582
Model description... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | mlx |
# lucataco/Mistral-7B-Instruct-v0.1-4bit
This model was converted to MLX format from [`mistralai/Mistral-7B-Instruct-v0.1`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) for more details on the model.
## Use with mlx
```bash
pip instal... | {"license": "apache-2.0", "tags": ["finetuned", "mlx"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | lucataco/Mistral-7B-Instruct-v0.1-4bit | null | [
"mlx",
"safetensors",
"mistral",
"finetuned",
"text-generation",
"conversational",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T04:08:32+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #finetuned #text-generation #conversational #license-apache-2.0 #region-us
|
# lucataco/Mistral-7B-Instruct-v0.1-4bit
This model was converted to MLX format from ['mistralai/Mistral-7B-Instruct-v0.1']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | BuroIdentidadDigital/formaMigratoria_Frontal_v1 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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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 | mlx |
# lucataco/Mistral-7B-v0.1-4bit
This model was converted to MLX format from [`mistralai/Mistral-7B-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1) using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-v0.1) for more details on the model.
## Use with ml... | {"language": ["en"], "license": "apache-2.0", "tags": ["pretrained", "mlx"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | lucataco/Mistral-7B-v0.1-4bit | null | [
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#mlx #safetensors #mistral #pretrained #text-generation #en #license-apache-2.0 #region-us
|
# lucataco/Mistral-7B-v0.1-4bit
This model was converted to MLX format from 'mistralai/Mistral-7B-v0.1' using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers |
Metrics improved by Truthful DPO
dataset: jondurbin/truthy-dpo-v0.1
example output
```
what is biggest animal in earth? The answer would be a surprise to many - it's actually the blue whale, not lions or elephants. It's fascinating how our perceptions of size can shape our unders... | {"license": "cc"} | cloudyu/Meta-Llama-3-8B-Instruct-DPO | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-cc #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Metrics improved by Truthful DPO
!Metrsc improment
dataset: jondurbin/truthy-dpo-v0.1
example output
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sentence-similarity | sentence-transformers |
## gte-Qwen1.5-7B-instruct
**gte-Qwen1.5-7B-instruct** is the latest addition to the gte embedding family. This model has been engineered starting from the [Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) LLM, drawing on the robust natural language processing capabilities of the Qwen1.5-7B model. Enhanced through... | {"tags": ["mteb", "sentence-transformers", "transformers", "Qwen", "sentence-similarity"], "model-index": [{"name": "gte-qwen1.5-7b", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "config": "en", "split": "test"... | Alibaba-NLP/gte-Qwen1.5-7B-instruct | null | [
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"sentence-similarity",
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"endpoints_compatible",
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#sentence-transformers #safetensors #qwen2 #text-generation #mteb #transformers #Qwen #sentence-similarity #custom_code #model-index #endpoints_compatible #region-us
| gte-Qwen1.5-7B-instruct
-----------------------
gte-Qwen1.5-7B-instruct is the latest addition to the gte embedding family. This model has been engineered starting from the Qwen1.5-7B LLM, drawing on the robust natural language processing capabilities of the Qwen1.5-7B model. Enhanced through our sophisticated embedd... | [
"### Sentence Transformers\n\n\nObserve the config\\_sentence\\_transformers.json to see all pre-built prompt names. Otherwise, you can use 'URL(queries, prompt=\"Instruct: ...\\nQuery: \"' to use a custom prompt of your choice.",
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feature-extraction | transformers | <h1 align="center">UForm</h1>
<h3 align="center">
Pocket-Sized Multimodal AI<br/>
For Content Understanding and Generation<br/>
In Python, JavaScript, and Swift<br/>
</h3>
---
The `uform3-image-text-english-base` UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.
This ... | {"license": "apache-2.0", "tags": ["clip", "vision"], "datasets": ["Ziyang/yfcc15m", "conceptual_captions"], "pipeline_tag": "feature-extraction"} | unum-cloud/uform3-image-text-english-base | null | [
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#transformers #coreml #onnx #clip #vision #feature-extraction #dataset-Ziyang/yfcc15m #dataset-conceptual_captions #license-apache-2.0 #endpoints_compatible #region-us
| UForm
=====
###
Pocket-Sized Multimodal AI
For Content Understanding and Generation
In Python, JavaScript, and Swift
---
The 'uform3-image-text-english-base' UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.
This model produces up to **256-dimensional embedding... | [
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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": []} | zeon8985army/AliasterPrayBig-AliesterBeggWhoAmIBraveByV3-en-1 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"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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text-to-image | diffusers |
## Model Card for Model ID
Alpaca based on Llama 3 8B
Instruct
8k context length.
### Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import torchvision
tokenizer = AutoTokenizer.from_pretrained("sahaj96/Alpaca-Llama3-8B-Instruct-v1.0")
model = AutoModelForCausalLM.from_pretrain... | {"language": ["en"], "license": "apache-2.0", "library_name": "diffusers", "tags": ["art", "code"], "datasets": ["HuggingFaceTB/compendia"], "metrics": ["accuracy"], "pipeline_tag": "text-to-image"} | sahaj96/Alpaca-Llama3-8B-Instruct-v1.0 | null | [
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## Model Card for Model ID
Alpaca based on Llama 3 8B
Instruct
8k context length.
### Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import torchvision
tokenizer = AutoTokenizer.from_pretrained("sahaj96/Alpaca-Llama3-8B-Instruct-v1.0")
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null | transformers |
# Uploaded model
- **Developed by:** namanbnsl
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | namanbnsl/mistral-alpaca-tune | null | [
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|
# Uploaded model
- Developed by: namanbnsl
- 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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null | adapter-transformers |
# Adapter `BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_4_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_10k_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_10k_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_10k_helpfulness_dataset"]} | BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_4_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_10k_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T04:31:33+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_10k_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/seq_bn_amz_10k_help_class_no_pretrain_4_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_10k_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## ... | [
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text-generation | transformers |
# monika-ddlc-8b-v1:
* LLaMA-3 8b fine-tuned for Monika character from DDLC (test, may have later version out soon)
* Fine-tuned on a dataset of ~600+ items (dialogue scraped from game, reddit, and Twitter augmented by [l2-7b-monika-v0.3c1](https://huggingface.co/922-CA/llama-2-7b-monika-v0.3c1) to turn each into snip... | {"license": "other", "library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "datasets": ["922-CA/MoCha_v1a"], "license_name": "llama3", "license_link": "LICENSE"} | 922-CA/Llama-3-monika-ddlc-8b-v1 | null | [
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|
# monika-ddlc-8b-v1:
* LLaMA-3 8b fine-tuned for Monika character from DDLC (test, may have later version out soon)
* Fine-tuned on a dataset of ~600+ items (dialogue scraped from game, reddit, and Twitter augmented by l2-7b-monika-v0.3c1 to turn each into snippets of multi-turn chat dialogue between Player and Monika... | [
"# monika-ddlc-8b-v1:\n* LLaMA-3 8b fine-tuned for Monika character from DDLC (test, may have later version out soon)\n* Fine-tuned on a dataset of ~600+ items (dialogue scraped from game, reddit, and Twitter augmented by l2-7b-monika-v0.3c1 to turn each into snippets of multi-turn chat dialogue between Player and ... | [
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feature-extraction | 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. -->
# finetuned_bge_ver22
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver22", "results": []}]} | comet24082002/finetuned_bge_ver22 | null | [
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"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T04:32:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver22
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
"# finetuned_bge_ver22\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
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"## Training and evaluation data\n\nMore information needed",
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"### T... | [
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"# finetuned_bge_ver22\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
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feature-extraction | transformers | <h1 align="center">UForm</h1>
<h3 align="center">
Pocket-Sized Multimodal AI<br/>
For Content Understanding and Generation<br/>
In Python, JavaScript, and Swift<br/>
</h3>
---
The `uform3-image-text-english-large` UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.
This... | {"license": "apache-2.0", "tags": ["clip", "vision"], "datasets": ["Ziyang/yfcc15m", "conceptual_captions"], "pipeline_tag": "feature-extraction"} | unum-cloud/uform3-image-text-english-large | null | [
"transformers",
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"onnx",
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"feature-extraction",
"dataset:Ziyang/yfcc15m",
"dataset:conceptual_captions",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T04:32:36+00:00 | [] | [] | TAGS
#transformers #coreml #onnx #clip #vision #feature-extraction #dataset-Ziyang/yfcc15m #dataset-conceptual_captions #license-apache-2.0 #endpoints_compatible #region-us
| UForm
=====
###
Pocket-Sized Multimodal AI
For Content Understanding and Generation
In Python, JavaScript, and Swift
---
The 'uform3-image-text-english-large' UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.
This model produces up to **64-, 256-, 512-, and 768... | [
"### \nPocket-Sized Multimodal AI\nFor Content Understanding and Generation\nIn Python, JavaScript, and Swift\n\n\n\n\n---\n\n\nThe 'uform3-image-text-english-large' UForm model is a tiny vision and English language encoder, mapping them into a shared vector space.\nThis model produces up to **64-, 256-, 512-, and ... | [
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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. -->
# 04-20-04-33-22
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "04-20-04-33-22", "results": []}]} | reeddg/04-20-04-33-22 | null | [
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"base_model:google-bert/bert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T04:36:21+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us
| 04-20-04-33-22
==============
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0014
* Accuracy: 1.0
* Precision: 1.0
* Recall: 1.0
* F1: 1.0
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# Model Card: Nous-Hermes-Llama2-13b
This is a Updated fork done by Hexon Labs on the name Featherlite under Llama Series
Compute provided by our project sponsor Redmond AI, thank you! Follow RedmondAI on Twitter @RedmondAI.
## Model Description
Nous-Hermes-Llama2-13b is a state-of-the-art language model fine-tune... | {"language": ["en"], "license": ["mit"], "tags": ["llama-2", "self-instruct", "distillation", "synthetic instruction"]} | featherlite-ai/Featherlite-Hermes-Llama2-13B | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T04:36:35+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #llama-2 #self-instruct #distillation #synthetic instruction #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card: Nous-Hermes-Llama2-13b
This is a Updated fork done by Hexon Labs on the name Featherlite under Llama Series
Compute provided by our project sponsor Redmond AI, thank you! Follow RedmondAI on Twitter @RedmondAI.
## Model Description
Nous-Hermes-Llama2-13b is a state-of-the-art language model fine-tune... | [
"# Model Card: Nous-Hermes-Llama2-13b\n\nThis is a Updated fork done by Hexon Labs on the name Featherlite under Llama Series\n\nCompute provided by our project sponsor Redmond AI, thank you! Follow RedmondAI on Twitter @RedmondAI.",
"## Model Description\n\nNous-Hermes-Llama2-13b is a state-of-the-art language m... | [
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text-generation | mlx |
# lucataco/Mistral-7B-Instruct-v0.2-4bit
This model was converted to MLX format from [`mistralai/Mistral-7B-Instruct-v0.2`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) for more details on the model.
## Use with mlx
```bash
pip instal... | {"license": "apache-2.0", "tags": ["finetuned", "mlx"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | lucataco/Mistral-7B-Instruct-v0.2-4bit | null | [
"mlx",
"safetensors",
"mistral",
"finetuned",
"text-generation",
"conversational",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T04:37:31+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #finetuned #text-generation #conversational #license-apache-2.0 #region-us
|
# lucataco/Mistral-7B-Instruct-v0.2-4bit
This model was converted to MLX format from ['mistralai/Mistral-7B-Instruct-v0.2']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# lucataco/Mistral-7B-Instruct-v0.2-4bit\nThis model was converted to MLX format from ['mistralai/Mistral-7B-Instruct-v0.2']() using mlx-lm version 0.10.0.\nRefer to the original model card for more details on the model.",
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null | null |
# DavidAU/Tinyllama-2-1b-miniguanaco-Q8_0-GGUF
This model was converted to GGUF format from [`abdgrt/Tinyllama-2-1b-miniguanaco`](https://huggingface.co/abdgrt/Tinyllama-2-1b-miniguanaco) 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... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Tinyllama-2-1b-miniguanaco-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-20T04:38:28+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/Tinyllama-2-1b-miniguanaco-Q8_0-GGUF
This model was converted to GGUF format from 'abdgrt/Tinyllama-2-1b-miniguanaco' 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... | [
"# DavidAU/Tinyllama-2-1b-miniguanaco-Q8_0-GGUF\nThis model was converted to GGUF format from 'abdgrt/Tinyllama-2-1b-miniguanaco' 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 ... | [
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null | null |
# DavidAU/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft-Q8_0-GGUF
This model was converted to GGUF format from [`abhinand/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft`](https://huggingface.co/abhinand/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spac... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["teknium/OpenHermes-2.5", "abhinand/ultrachat_200k_sharegpt"], "model-index": [{"name": "TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset":... | DavidAU/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:teknium/OpenHermes-2.5",
"dataset:abhinand/ultrachat_200k_sharegpt",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-20T04:38:39+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-teknium/OpenHermes-2.5 #dataset-abhinand/ultrachat_200k_sharegpt #license-apache-2.0 #model-index #region-us
|
# DavidAU/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft-Q8_0-GGUF
This model was converted to GGUF format from 'abhinand/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft' 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.
In... | [
"# DavidAU/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft-Q8_0-GGUF\nThis model was converted to GGUF format from 'abhinand/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft' 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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"# DavidAU/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft-Q8_0-GGUF\nThis model was converted to GGUF format from 'abhinand/TinyLlama-1.1B-OpenHermes-2.... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-teknium/OpenHermes-2.5 #dataset-abhinand/ultrachat_200k_sharegpt #license-apache-2.0 #model-index #region-us \n# DavidAU/TinyLlama-1.1B-OpenHermes-2.5-Chat-v0.1-sft-Q8_0-GGUF\nThis model was converted to GGUF format from 'abhinand/TinyLlama-1.1B-OpenHermes-2.5-Chat... |
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": []} | IntervitensInc/intv_l3_mk4 | null | [
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"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": []} | sparsh35/gemman1.12bnormalawq | 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]:
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- Language(s) (NLP):
- License... | [
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null | transformers |
# DavidAU/Heimer-dpo-TinyLlama-1.1B-Q8_0-GGUF
This model was converted to GGUF format from [`abideen/Heimer-dpo-TinyLlama-1.1B`](https://huggingface.co/abideen/Heimer-dpo-TinyLlama-1.1B) 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 ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T", "abideen/Heimer-ipo-TinyLlama-1.1B", "abideen/Heimer-kto-TinyLlama-1.1B", "Intel/orca_dpo_pairs", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs"]} | DavidAU/Heimer-dpo-TinyLlama-1.1B-Q8_0-GGUF | null | [
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|
# DavidAU/Heimer-dpo-TinyLlama-1.1B-Q8_0-GGUF
This model was converted to GGUF format from 'abideen/Heimer-dpo-TinyLlama-1.1B' 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:... | [
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null | null |
# DavidAU/TinyLlama-1.1B-chat-dare-v1-Q8_0-GGUF
This model was converted to GGUF format from [`abuelnasr/TinyLlama-1.1B-chat-dare-v1`](https://huggingface.co/abuelnasr/TinyLlama-1.1B-chat-dare-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "l3utterfly/tinyllama-1.1b-layla-v1", "llama-cpp", "gguf-my-repo"]} | DavidAU/TinyLlama-1.1B-chat-dare-v1-Q8_0-GGUF | null | [
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|
# DavidAU/TinyLlama-1.1B-chat-dare-v1-Q8_0-GGUF
This model was converted to GGUF format from 'abuelnasr/TinyLlama-1.1B-chat-dare-v1' 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.... | [
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text-generation | transformers |
## Model Name: Multilingual LLM for English, Igbo, and Yoruba Translation
This model specializes in understanding and generating text across English, Igbo, and Yoruba, trained on curated datasets including "tiny_stories" and "dolly_hhrlhf." Utilizing advanced techniques to ensure efficiency and accuracy, the model su... | {"language": ["ig", "yo", "en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["ccibeekeoc42/TinyStories_yoruba", "ccibeekeoc42/TinyStories_igbo", "ccibeekeoc42/DollyHHRLHF_igbo", "ccibeekeoc42/DollyHHRLHF_yoruba"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | ccibeekeoc42/Llama3-8b-chat-SFT-2024-04-20 | null | [
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----------------------------------------------------------------------
This model specializes in understanding and generating text across English, Igbo, and Yoruba, trained on curated datasets including "tiny\_stories" and "dolly\_hhrlhf." Utilizi... | [
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feature-extraction | transformers |
<h1 align="center">UForm</h1>
<h3 align="center">
Pocket-Sized Multimodal AI<br/>
For Content Understanding and Generation<br/>
In Python, JavaScript, and Swift<br/>
</h3>
---
The `uform3-image-text-multilingual-base` UForm model is a tiny vision and multilingual language encoder, covering __21 languages__, mapping ... | {"language": ["en", "ar", "hy", "zh", "fr", "de", "he", "hi", "id", "it", "ja", "ko", "fa", "pl", "pt", "ru", "es", "th", "tr", "uk", "vi"], "license": "apache-2.0", "tags": ["clip", "vision"], "datasets": ["sbu_captions", "visual_genome", "ChristophSchuhmann/MS_COCO_2017_URL_TEXT", "Ziyang/yfcc15m"], "pipeline_tag": "... | unum-cloud/uform3-image-text-multilingual-base | null | [
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=====
###
Pocket-Sized Multimodal AI
For Content Understanding and Generation
In Python, JavaScript, and Swift
---
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This model produ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["AIGym/function_calling_v2"]} | AIGym/Llama-2-7b-chat-hf-structured-responses | 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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- Shared by [optional]:
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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": ["asr-leaderboard", "a", "s", "r", "-", "l", "e", "d", "b", "o"]} | zeon8985army/AliasterPrayBig-AliasterBeggBraveWhoAmIV3-en-1-full | 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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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw2.25 | null | [
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"text-generation",
"conversational",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T04:49:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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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"]} | yunkimmy/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-20T04:50:25+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 Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Pranjal4554/dummy_model | null | [
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"llama",
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"llama-3",
"conversational",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T04:51:41+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | peft |
A finetuning experiment on llama3 8b it with selected 5k examples from argilla dpo 7k | {"language": ["en"], "license": "other", "library_name": "peft", "tags": ["text-generation", "llama", "orpo", "llama3", "text-generation-inference"], "datasets": ["argilla/dpo-mix-7k"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | eren23/DPOMixLLama-3-8B-lora | null | [
"peft",
"safetensors",
"text-generation",
"llama",
"orpo",
"llama3",
"text-generation-inference",
"conversational",
"en",
"dataset:argilla/dpo-mix-7k",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
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"en"
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#peft #safetensors #text-generation #llama #orpo #llama3 #text-generation-inference #conversational #en #dataset-argilla/dpo-mix-7k #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
A finetuning experiment on llama3 8b it with selected 5k examples from argilla dpo 7k | [] | [
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] |
image-segmentation | null | | Model Name | File Name |
|--------------|---------------------------------------------------|
| tang | self_supervised_nv_swin_unetr_5050.pt |
| jose | self_supervised_nv_swin_unetr_50000.pth |
| univ_swin | supervised_clip_driven_univ... | {"language": ["en"], "license": "mit", "tags": ["medical"], "pipeline_tag": "image-segmentation"} | jethro682/pretrain_mri | null | [
"medical",
"image-segmentation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-20T04:56:21+00:00 | [] | [
"en"
] | TAGS
#medical #image-segmentation #en #license-mit #region-us
| [] | [
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18
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"TAGS\n#medical #image-segmentation #en #license-mit #region-us \n"
] | |
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. -->
# distilhubert-finetuned-gtzan-music-genre-classification
This model is a fine-tuned version of [yuval6967/distilhubert-finetuned-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "yuval6967/distilhubert-finetuned-gtzan", "model-index": [{"name": "distilhubert-finetuned-gtzan-music-genre-classification", "results": [{"task": {"type": "audio-classification", "name": ... | FredDYyy/distilhubert-finetuned-gtzan-finetuned-gtzan | null | [
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"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
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| distilhubert-finetuned-gtzan-music-genre-classification
=======================================================
This model is a fine-tuned version of yuval6967/distilhubert-finetuned-gtzan on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4478
* Accuracy: 0.935
Model descrip... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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null | mlx |
# lucataco/Mixtral-8x7B-v0.1-4bit
This model was converted to MLX format from [`mistralai/Mixtral-8x7B-v0.1`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```pyth... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe", "mlx"]} | lucataco/Mixtral-8x7B-v0.1-4bit | null | [
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"mixtral",
"moe",
"fr",
"it",
"de",
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"license:apache-2.0",
"region:us"
] | null | 2024-04-20T05:00:40+00:00 | [] | [
"fr",
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"es",
"en"
] | TAGS
#mlx #safetensors #mixtral #moe #fr #it #de #es #en #license-apache-2.0 #region-us
|
# lucataco/Mixtral-8x7B-v0.1-4bit
This model was converted to MLX format from ['mistralai/Mixtral-8x7B-v0.1']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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": ["trl", "sft"]} | b2bp8ip/llama_mbpp_syn | null | [
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"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T05:04:34+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | binganao/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-20T05:06:52+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/TigerResearch/tigerbot-70b-chat-v4
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/tigerb... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "TigerResearch/tigerbot-70b-chat-v4", "quantized_by": "mradermacher"} | mradermacher/tigerbot-70b-chat-v4-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:TigerResearch/tigerbot-70b-chat-v4",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T05:08:09+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-TigerResearch/tigerbot-70b-chat-v4 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | null |
# DavidAU/TinyLlama-1.1B-orca-gpt4-Q8_0-GGUF
This model was converted to GGUF format from [`acalatrava/TinyLlama-1.1B-orca-gpt4`](https://huggingface.co/acalatrava/TinyLlama-1.1B-orca-gpt4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "sam-mosaic/orca-gpt4-chatml"]} | DavidAU/TinyLlama-1.1B-orca-gpt4-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"dataset:sam-mosaic/orca-gpt4-chatml",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T05:10:14+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-cerebras/SlimPajama-627B #dataset-bigcode/starcoderdata #dataset-sam-mosaic/orca-gpt4-chatml #license-apache-2.0 #region-us
|
# DavidAU/TinyLlama-1.1B-orca-gpt4-Q8_0-GGUF
This model was converted to GGUF format from 'acalatrava/TinyLlama-1.1B-orca-gpt4' 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... | [
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"# DavidAU/TinyLlama-1.1B-orca-gpt4-Q8_0-GGUF\nThis model was converted to GGUF format from 'acalatrava/TinyLlama-1.1B-orca-gpt4' usin... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- 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": []} | emma7897/bert_two | null | [
"transformers",
"safetensors",
"bert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-20T05:12:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #fill-mask #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #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 |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw2.5 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T05:12:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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