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text-to-image | diffusers | ### hyundei car on Stable Diffusion via Dreambooth
#### model by ShruzData
This your the Stable Diffusion model fine-tuned the hyundei car concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<hyundei-car> car**
You can also train your own concepts and upload them to... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | sd-dreambooth-library/hyundei-car | null | [
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| ### hyundei car on Stable Diffusion via Dreambooth
#### model by ShruzData
This your the Stable Diffusion model fine-tuned the hyundei car concept taught to Stable Diffusion with Dreambooth.
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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", "trl", "sft"]} | 4-alokk/llama-3-8b-English-to-Hinglish | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "beomi/Llama-3-Open-Ko-8B", "model-index": [{"name": "out-llama-8b-ko-slimorca_45000", "results": []}]} | EnumaInc/llama-8b-ko-slimorca-45000 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out-llama-8b-ko-slimorca\_45000
===============================
This model is a fine-tuned version of beomi/Llama-3-Open-Ko-8B on the None dataset.
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text-generation | transformers | # ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
[Paper on arxiv](https://arxiv.org/abs/2402.16445) for more information
[Github](https://github.com/Lyu6PosHao/ProLLaMA) for more information
ProLLaMA_Stage_1 is based on Llama-2-7b, so please follow the license of Llama2.
# Quick ... | {"license": "apache-2.0"} | GreatCaptainNemo/ProLLaMA_Stage_1 | null | [
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| # ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
Paper on arxiv for more information
Github for more information
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# Quick usage:
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Prahas10/roof-classification
This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.co/google/vit-bas... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch32-384", "model-index": [{"name": "Prahas10/roof-classification", "results": []}]} | Prahas10/roof-classification | null | [
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| Prahas10/roof-classification
============================
This model is a fine-tuned version of google/vit-base-patch32-384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0374
* Validation Loss: 0.0935
* Train Accuracy: 0.9818
* Epoch: 8
Model description
---------... | [
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image-to-text | 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", "pipeline_tag": "image-to-text"} | BABILOON/image_captioning_1 | null | [
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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": []} | Lakshit11/BERT_debit_with_own_code | null | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "sbchoi/rtdetr_r50vd", "model-index": [{"name": "sbchoi-rtdetr_r50vd-finetuned-10k-cppe5", "results": []}]} | qubvel-hf/sbchoi-rtdetr_r50vd-finetuned-10k-cppe5 | null | [
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sbchoi-rtdetr\_r50vd-finetuned-10k-cppe5
========================================
This model is a fine-tuned version of sbchoi/rtdetr\_r50vd on the cppe-5 dataset.
It achieves the following results on the evaluation set:
* Loss: 5.4784
* ... | [
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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. -->
# V0424MADP6
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424MADP6", "results": []}]} | Litzy619/V0424MADP6 | null | [
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| V0424MADP6
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1465
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold5
This model is a fine-tuned version of [microsoft/swin-tiny-patch4... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold5", "results": [{"task": {"type": "image-classification", "na... | onizukal/Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold5 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_Swin-tiny-patch4-window16-256\_fold5
===================================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1116
* A... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_HPE
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sh... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "results_HPE", "results": []}]} | Aditi25/results_HPE | null | [
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|
# results_HPE
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 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... | [
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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. -->
# RM-HH-GPT2Large_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [ope... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-GPT2Large_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-GPT2Large_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse | null | [
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| RM-HH-GPT2Large\_helpful\_human\_loraR64\_40000\_gpt2-large\_shuffleTrue\_extractchosenFalse
============================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on an unknown dataset.
It achieves the following results on the ev... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.3367588222026825
f1: 0.9257166388323306
precision: 0.886979395002192
recall: 0.9679919621070762
auc: 0.9579120153789685
accuracy: 0.92216602344368
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-fczdv-zo09d/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | purpleor/autotrain-fczdv-zo09d | null | [
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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. -->
# DistilBert-fine-tuned-RTE
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "DistilBert-fine-tuned-RTE", "results": []}]} | rycecorn/DistilBert-fine-tuned-RTE | null | [
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| DistilBert-fine-tuned-RTE
=========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9777
* Accuracy: 0.6029
Model description
-----------------
More information needed
Intended uses & limita... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data
This model is a fine-tuned version of [vinai/phobert... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data", "results": []}]} | qminh369/token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data | null | [
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| token-classification-llmlingua2-phobert-bctn-2308\_sample-10\_epoch\_best\_data
===============================================================================
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3044
M... | [
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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": []} | ortaymed/bert_glue_en | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RM-HH-GPT2-4w_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [openai... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-GPT2-4w_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-GPT2-4w_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse | null | [
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=========================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on the None dataset.
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | udmurtNLP/zerpal-glot500-pos-tagger | null | [
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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. -->
# text_classification_gpt2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It ach... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "text_classification_gpt2", "results": []}]} | badrabbitt/text_classification_gpt2 | null | [
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| text\_classification\_gpt2
==========================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3501
* Accuracy: 0.9052
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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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": []} | Mithilss/whisper-large-v3-chinese-finetune-epoch-3-custom-dataset | 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 | Finetune of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on [m-a-p/CodeFeedback-Filtered-Instruction](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction) for ~9-10h using a single 3090 24GB.
Due to limited resources and time, the training was onl... | {"license": "other", "tags": ["phi", "phi-3", "3", "code"], "datasets": ["m-a-p/CodeFeedback-Filtered-Instruction"], "license_name": "phi-3", "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/raw/main/LICENSE"} | RDson/Phi-3-mini-code-finetune-128k-instruct-v1 | null | [
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| Finetune of microsoft/Phi-3-mini-128k-instruct on m-a-p/CodeFeedback-Filtered-Instruction for ~9-10h using a single 3090 24GB.
Due to limited resources and time, the training was only on half (0.5136) of the epoch.
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visual-question-answering | transformers |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-phi-3-mini-pretrain is a LLaVA projector ... | {"datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "visual-question-answering"} | xtuner/llava-phi-3-mini-pretrain | null | [
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|
<div align="center">
<img src="URL width="600"/>
![Generic badge](URL
</div>
## Model
llava-phi-3-mini-pretrain is a LLaVA projector pretrained from microsoft/Phi-3-mini-4k-instruct and CLIP-ViT-Large-patch14-336 on ShareGPT4V-PT dataset by XTuner.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun01](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01", "motherfucker0/zhun02"]} | motherfucker0/zhen08 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun01
* motherfucker0/zhun02
### Configuration
The following YAM... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | VinhLlama/Gemma7bVinhntV05_16bit | null | [
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# Uploaded model
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- License: apache-2.0
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null | null | # Introduction
This model is contributed by the community and trained using
https://github.com/Plachtaa/VITS-fast-fine-tuning
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text-generation | transformers |
## モデル
- ベースモデル：[llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0)
- 学習データセット：[cl-nagoya/auto-wiki-qa](https://huggingface.co/datasets/cl-nagoya/auto-wiki-qa) (`seed=42`でシャッフルした後、先頭の10万件を学習データに使用)
- 学習方式：LoRA (r=8, alpha=16, target_modules=["c_attn", "c_proj", "c_fc"])
## サンプル
```python
impor... | {"library_name": "transformers", "tags": []} | ryota39/llm-jp-1b-sft-100k-LoRA | null | [
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"safetensors",
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#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## モデル
- ベースモデル：llm-jp/llm-jp-1.3b-v1.0
- 学習データセット：cl-nagoya/auto-wiki-qa ('seed=42'でシャッフルした後、先頭の10万件を学習データに使用)
- 学習方式：LoRA (r=8, alpha=16, target_modules=["c_attn", "c_proj", "c_fc"])
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
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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": []} | suke0327/whisper-large_odd_de | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_useresponse_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_1", "model-index": [{"name": "0.001_ablation_5iters_bs256_useresponse_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_2 | null | [
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# 0.001_ablation_5iters_bs256_useresponse_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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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. -->
# results1
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# results1
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
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null | transformers |
# Model Card for Model ID
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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_5iters_bs256_useresponse_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset"], "base_model": "ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_1", "model-index": [{"name": "0.0_ablation_5iters_bs256_us... | ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_2 | null | [
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# 0.0_ablation_5iters_bs256_useresponse_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_1 on the ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information nee... | [
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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": []} | Afterglow777/chemical_dpo_4 | 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]:
- Model type:
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text-generation | null | # [MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-3... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-70B-Instruct-32k-v0.1-GGUF", "base": "MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1", "base_model": "MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1", "inferen... | MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1-GGUF | null | [
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"base_model:MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1",
"region:us"
] | null | 2024-04-25T09:31:02+00:00 | [] | [] | TAGS
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| # MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1
## Description
MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-70B-Instruct-32k-v0.1.
### About GGUF
GGUF is a ne... | [
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null | null |
Forked from [docparser/captcha · Hugging Face](https://huggingface.co/docparser/captcha). | {"license": "cc-by-3.0"} | stevenchang/captcha | null | [
"onnx",
"license:cc-by-3.0",
"region:us"
] | null | 2024-04-25T09:34:23+00:00 | [] | [] | TAGS
#onnx #license-cc-by-3.0 #region-us
|
Forked from docparser/captcha · Hugging Face. | [] | [
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translation | transformers |
# NLLB-200 Distilled-350M_en2ko
The NLLB-200 model showed outstanding performance in translation task and contributed to solving problems with low-resource languages.
Despite their efforts, it is still hard to run 600M or more than 1B model for those who have not enough computing environment.
So I made much smaller m... | {"language": ["ko", "en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "datasets": ["allenai/nllb", "facebook/flores"], "metrics": ["chrf"], "pipeline_tag": "translation"} | dhtocks/nllb-200-distilled-350M_en-ko | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
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"region:us"
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| NLLB-200 Distilled-350M\_en2ko
==============================
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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. -->
# final_classification
This model is a fine-tuned version of [yhavinga/t5-small-24L-ccmatrix-multi](https://huggingface.co/yhaving... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "precision", "recall"], "base_model": "yhavinga/t5-small-24L-ccmatrix-multi", "model-index": [{"name": "final_classification", "results": []}]} | nizarh1999/final_classification | null | [
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| final\_classification
=====================
This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0945
* F1: {'f1': 0.9405940594059407}
* Precision: {'precision': 0.9134615384615384}
* Recall: {'recall': 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6",
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | TheoND/testqaver3 | null | [
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#peft #safetensors #region-us
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The following 'bitsandbytes' quantization config was used during training:
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null | null | # Text Captcha Breaker
## Prerequisites
Before running this project, make sure you have the following prerequisites installed:
- [git-lfs](https://github.com/git-lfs/git-lfs/wiki/Installation#debian-and-ubuntu): A Git extension for versioning large files.
To install git-lfs on Debian and Ubuntu, run the following... | {} | stevenchang/text_captcha_breaker | null | [
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T09:38:28+00:00 | [] | [] | TAGS
#endpoints_compatible #region-us
| # Text Captcha Breaker
## Prerequisites
Before running this project, make sure you have the following prerequisites installed:
- git-lfs: A Git extension for versioning large files.
To install git-lfs on Debian and Ubuntu, run the following commands:
- Required Python packages: Install the required packages ... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | cr0afm/autotrain-vtjo7-hqshm | null | [
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"has_space",
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] | null | 2024-04-25T09:39:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #has_space #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/mattshumer-Llama-3-8B-16K-HQQ-4bit-smashed | null | [
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"text-generation",
"pruna-ai",
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"region:us"
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold1
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold1", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold1 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-base-window7-224-in22k\_fold1
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2278
*... | [
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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": []} | naskimed/BugsPredv3.1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct", "results": []}]} | Pavii/Meta-Llama-3-8B-Instruct | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# Meta-Llama-3-8B-Instruct
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun02](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun02", "motherfucker0/zhun01"]} | motherfucker0/zhen09 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun02
* motherfucker0/zhun01
### Configuration
The following YAM... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | AkiraHase/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | lightyip/Reinforce-CartPole-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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null | null | The GGUF files of [RDson/Phi-3-mini-code-finetune-128k-instruct-v1](https://huggingface.co/RDson/Phi-3-mini-code-finetune-128k-instruct-v1). | {"license": "other", "tags": ["gguf", "phi", "3", "code", "phi-3"], "license_name": "phi-3", "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/raw/main/LICENSE"} | RDson/Phi-3-mini-code-finetune-128k-instruct-v1-GGUF | null | [
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| The GGUF files of RDson/Phi-3-mini-code-finetune-128k-instruct-v1. | [] | [
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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"]} | hoang1123/llam3-8b-4bit-unsloth | null | [
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"4-bit",
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#transformers #safetensors #llama #text-generation #unsloth #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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automatic-speech-recognition | transformers | # Model Card for whisper-large-v3-taiwanese-hakka
<!-- Provide a quick summary of what the model is/does. -->
This model is a fine-tuned version of the Taiwanese Hakka [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3), which uses the ids of each dialect as prompts during training, to experiment... | {"language": ["hak"], "license": "mit", "pipeline_tag": "automatic-speech-recognition"} | formospeech/whisper-large-v3-taiwanese-hakka | null | [
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#transformers #safetensors #whisper #automatic-speech-recognition #hak #license-mit #endpoints_compatible #region-us
| # Model Card for whisper-large-v3-taiwanese-hakka
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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. -->
# pegasus-x-base-pegasus_article_summarization_base2
This model is a fine-tuned version of [google/pegasus-x-base](https://hugging... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/pegasus-x-base", "model-index": [{"name": "pegasus-x-base-pegasus_article_summarization_base2", "results": []}]} | LAKSHM11-G/pegasus-x-base-pegasus_article_summarization_base2 | null | [
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| pegasus-x-base-pegasus\_article\_summarization\_base2
=====================================================
This model is a fine-tuned version of google/pegasus-x-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5067
Model description
-----------------
More informatio... | [
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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. -->
# MARBERT-QADI
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
-... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision"], "model-index": [{"name": "MARBERT-QADI", "results": []}]} | MohamedAtta-AI/MARBERT-QADI | null | [
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"generated_from_trainer",
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] | null | 2024-04-25T09:57:15+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| MARBERT-QADI
============
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0342
* Macro F1: 0.5099
* Accuracy: 0.5138
* Recall: 0.5136
* Precision: 0.6223
Model description
-----------------
More information needed
Intended uses & limi... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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#peft #tensorboard #region-us
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-131_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-131_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-131_PasswordMatch | null | [
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|
# robust_llm_pythia-410m_mz-131_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0", "model-index": [{"name": "T3Q-LLM-sft1.0-dpo1.0_100QA", "results": []}]} | superiort/T3Q-LLM-sft1.0-dpo1.0_100QA_10epochs | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
T3Q-LLM-sft1.0-dpo1.0\_100QA
============================
This model is a fine-tuned version of T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0 on the None dataset.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
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# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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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": ["trl", "sft"]} | Daniel-007/phi-2_qlora_consumer | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | PakinClean/git-large-coco-travel | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation s... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "bert-base-uncased", "results": []}]} | DenysZakharkevych/bert-base-uncased | null | [
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| bert-base-uncased
=================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6727
* Accuracy: 0.6562
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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null | null |
# Multiverseex26Shadowm7exp-7B
Multiverseex26Shadowm7exp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: allknowingroger/MultiverseEx26-7B-slerp
- model: mah... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Multiverseex26Shadowm7exp-7B | null | [
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"mergekit",
"lazymergekit",
"automerger",
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Multiverseex26Shadowm7exp-7B
Multiverseex26Shadowm7exp-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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": []} | KhimNguyen/ranker_model | 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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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. -->
# events-mem-base
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the N... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "events-mem-base", "results": []}]} | eddieman78/events-mem-base | null | [
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| events-mem-base
===============
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0031
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b1-finetuned-cityscapes-1024-1024-full-ds
This model is a fine-tuned version of [nvidia/segformer-b1-finetuned-citysca... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "nvidia/segformer-b1-finetuned-cityscapes-1024-1024", "model-index": [{"name": "segformer-b1-finetuned-cityscapes-1024-1024-full-ds", "results": []}]} | selvaa/segformer-b1-finetuned-cityscapes-1024-1024-full-ds | null | [
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| segformer-b1-finetuned-cityscapes-1024-1024-full-ds
===================================================
This model is a fine-tuned version of nvidia/segformer-b1-finetuned-cityscapes-1024-1024 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0506
* Mean Iou: 0.9137
* Mean Ac... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "mit", "library_name": "transformers"} | kishorea/T5-qa | null | [
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text-generation | transformers |
# Turkish-9b-merged
Turkish-9b-merged is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [TURKCELL/Turkcell-LLM-7b-v1](https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1)
* [Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0](https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0)
#... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TURKCELL/Turkcell-LLM-7b-v1", "Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0"]} | burak/Turkish-9b-merged | null | [
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|
# Turkish-9b-merged
Turkish-9b-merged is a merge of the following models using mergekit:
* TURKCELL/Turkcell-LLM-7b-v1
* Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0
## Configuration
| [
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text-generation | transformers | # jeiku/Soulful_Bepis_9B AWQ
- Model creator: [jeiku](https://huggingface.co/jeiku)
- Original model: [Soulful_Bepis_9B](https://huggingface.co/jeiku/Soulful_Bepis_9B)
## Model SUmmary
Bepis_9B f... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "mergekit", "merge"], "datasets": ["ChaoticNeutrals/Synthetic_Soul_1k"], "base_model": ["ChaoticNeutrals/Bepis_9B", "jeiku/Synthetic_Soul_1k_Mistral_128"],... | solidrust/Soulful_Bepis_9B-AWQ | null | [
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| # jeiku/Soulful_Bepis_9B AWQ
- Model creator: jeiku
- Original model: Soulful_Bepis_9B
!image/jpeg
## Model SUmmary
Bepis_9B finetuned on Synthetic_Soul_1k. Does it do anything? Who knows...
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - computational-mama/bike-doodles
<Gallery />
## Model description
### These are computational-mama/bike-doodles LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download *... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A drawing of <s0><s1>, a drawing of a bike, road bike, green color, racing handle, vintage bike, fenders", "output": {"url": "image-0.png"}}, {"text"... | computational-mama/bike-doodles | null | [
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|
# SDXL LoRA DreamBooth - computational-mama/bike-doodles
<Gallery />
## Model description
### These are computational-mama/bike-doodles LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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null | transformers |
# Uploaded model
- **Developed by:** ack2050
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ack2050/llama3-8b-oig-unsloth | null | [
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# Uploaded model
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- License: apache-2.0
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "smallcloudai/Refact-1_6B-fim"} | Bry14/Refact-1_6B-fim-haskell-v0.1 | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | suke0327/whisper-large_rear_en | 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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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... | Artemijs/ppo-LunarLander-v2 | null | [
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#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-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mali17361/detr-finetuned-table-v4 | null | [
"transformers",
"safetensors",
"detr",
"image-feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #detr #image-feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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text-generation | transformers |
<a href="https://github.com/MLP-Lab/Bllossom">
<img src="https://github.com/teddysum/bllossom/blob/main//bllossom_icon.png?raw=true" width="40%" height="50%">
</a>
# Bllossom | [Demo]() | [Homepage](https://www.bllossom.ai/) | [Github](https://github.com/MLP-Lab/Bllossom) | [Colab-tutorial](https://colab.research.g... | {"language": ["en", "ko"], "license": "llama3", "library_name": "transformers", "base_model": ["meta-llama/Meta-Llama-3-8B"]} | MLP-KTLim/llama3-Bllossom | null | [
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|
<a href="URL
<img src="URL/bllossom_icon.png?raw=true" width="40%" height="50%">
</a>
# Bllossom | [Demo]() | Homepage | Github | Colab-tutorial |
The Bllossom language model is a Korean-English bilingual language model based on the open-source LLama3. It enhances the connection of knowledge between Korean and Eng... | [
"# Bllossom | [Demo]() | Homepage | Github | Colab-tutorial |\n\nThe Bllossom language model is a Korean-English bilingual language model based on the open-source LLama3. It enhances the connection of knowledge between Korean and English. It has the following features:\n\n* Knowledge Linking: Linking Korean and Eng... | [
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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": []} | Rohit1412/experiments | null | [
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text-to-image | diffusers | <Gallery />
## BitDiffusionV0.1
This is the initial version of the image model trained on the Bittensor network within subnet 17. It's not expected for this model to perform as well as MidJourney V6 at the moment. However, it does generate better images than base SDXL model.
**Trained on the dataset of Subnet 19 Visi... | {"license": "gpl-3.0", "pipeline_tag": "text-to-image", "widget": [{"text": "Three cow grazing in a bay window", "output": {"url": "cow.png"}}, {"text": "Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass flowers, Stains, space grunge style, Jeanne d'Arc wearing White Olive green used styled Cot... | PlixAI/BitDiffusionV0.1 | null | [
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#diffusers #safetensors #text-to-image #license-gpl-3.0 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
| <Gallery />
## BitDiffusionV0.1
This is the initial version of the image model trained on the Bittensor network within subnet 17. It's not expected for this model to perform as well as MidJourney V6 at the moment. However, it does generate better images than base SDXL model.
Trained on the dataset of Subnet 19 Vision... | [
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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. -->
# 2504v4
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504v4", "results": []}]} | adriansanz/2504v4 | null | [
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| 2504v4
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6121
* Accuracy: 0.8193
* Precision: 0.8296
* Recall: 0.8193
* F1: 0.8179
* Ratio: 0.5882
Model description
-----------------
More... | [
"### 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: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null | The d-w2gm models are introduced in our paper "Dynamic Gaussian Word Embeddings". Model files will be uploaded after our paper has got accepted from the journal. | {"license": "bsd-3-clause"} | KocLab-Bilkent/d-w2gm | null | [
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null | diffusers | # Text2Face-LoRa
This is a LoRa-finetuned version of the Stable Diffusion 2.1 model specifically optimized
for generating face images. The model was trained with [FFHQ](https://github.com/NV... | {"language": ["en"], "license": "mit", "library_name": "diffusers", "tags": ["lora", "image-generation", "diffusion", "face-generation", "text-conditioned-human-portrait", "synthetic-captions", "diffusers"]} | michaeltrs/text2face | null | [
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#diffusers #lora #image-generation #diffusion #face-generation #text-conditioned-human-portrait #synthetic-captions #en #license-mit #region-us
| # Text2Face-LoRa
!Python version
!License
This is a LoRa-finetuned version of the Stable Diffusion 2.1 model specifically optimized
for generating face images. The model was trained with FFHQ and easyportrait
using synthetic text captions for both datasets.
Details on the dataset format and preparation will be avai... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# QA_model3
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "QA_model3", "results": []}]} | MattNandavong/QA_model3 | null | [
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#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# QA_model3
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follo... | [
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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": []} | LumousInTheWild/image_captioning_tokenizer | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-finetune-open-question
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-finetune-open-question", "results": []}]} | nolnolon/roberta-finetune-open-question | null | [
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] | null | 2024-04-25T10:29:14+00:00 | [] | [] | TAGS
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| roberta-finetune-open-question
==============================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7613
* Balanced weighted accuracy: 0.7674
* Mcc: 0.7837
Model description
-----------------
More information ... | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlmv3-finetuned-invoice
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["generated"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-invoice", "results": [{"task": {"type": "token-classification", "name": "Token Cla... | abhaysanu/layoutlmv3-finetuned-invoice | null | [
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| layoutlmv3-finetuned-invoice
============================
This model is a fine-tuned version of microsoft/layoutlmv3-base on the generated dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9513
* Precision: 0.125
* Recall: 0.0122
* F1: 0.0222
* Accuracy: 0.8763
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 5",
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold2
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold2", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold2 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-base-window7-224-in22k\_fold2
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1859
*... | [
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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. -->
# LORA_gemma_trained_on_MMLU_5shot_test
This model is a fine-tuned version of [justshao/gemma-7b-with-confidence](https://huggingf... | {"license": "gemma", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "justshao/gemma-7b-with-confidence", "model-index": [{"name": "LORA_gemma_trained_on_MMLU_5shot_test", "results": []}]} | justshao/LORA_gemma_trained_on_MMLU_5shot_test | null | [
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| LORA\_gemma\_trained\_on\_MMLU\_5shot\_test
===========================================
This model is a fine-tuned version of justshao/gemma-7b-with-confidence on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2779
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. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_v1_h1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_v1_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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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. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_v2_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_v2_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_v2_h1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_v2_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-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. -->
# 2504v4-8ep
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-ain... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504v4-8ep", "results": []}]} | adriansanz/2504separado1 | null | [
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| 2504v4-8ep
==========
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5711
* Accuracy: 0.8487
* Precision: 0.8523
* Recall: 0.8487
* F1: 0.8484
* Ratio: 0.5504
Model description
----------------... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kishorea/qa2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0", "model-index": [{"name": "T3Q-LLM-sft1.0-dpo1.0_4300QA", "results": []}]} | superiort/T3Q-LLM-sft1.0-dpo1.0_4300QA_10epochs | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
T3Q-LLM-sft1.0-dpo1.0\_4300QA
=============================
This model is a fine-tuned version of T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0 on the None dataset.
It achieves the following results on the evaluation ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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).
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Donut_Sroie_data
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "Donut_Sroie_data", "results": []}]} | shubhambhange4471/Donut_Sroie_data | null | [
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|
# Donut_Sroie_data
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "fine-tuned-rvl-cdip", "results": []}]} | davidhajdu/fine-tuned-rvl-cdip | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
fine-tuned-rvl-cdip
===================
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7731
* F1: 0.8177
Model description
--------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-10-a | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **mujoco_ant** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sample-Factory, downl... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "mujoco_ant", "type": "mujoco_ant"}, "metrics": [{"type"... | LLParallax/sf_Ant | null | [
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the mujoco_ant environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
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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. -->
# breeze_7b_lora_completion_only_5_epochs
This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https:... | {"language": ["zh"], "license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-Breeze-Instruct"], "base_model": "MediaTek-Research/Breeze-7B-Instruct-v1_0", "model-index": [{"name": "breeze_7b_lora... | DandinPower/breeze_7b_lora_completion_only_5_epochs | null | [
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| breeze\_7b\_lora\_completion\_only\_5\_epochs
=============================================
This model is a fine-tuned version of MediaTek-Research/Breeze-7B-Instruct-v1\_0 on the DandinPower/ZH-Reading-Comprehension-Breeze-Instruct dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1658
... | [
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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-1b_mz-132_WordLength_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-132_WordLength_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-132_WordLength_n-its-10 | null | [
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"endpoints_compatible",
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"region:us"
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|
# robust_llm_pythia-1b_mz-132_WordLength_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
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text-generation | transformers |
# Llama-3-8B-saiga-suzume-ties
Llama-3-8B-saiga-suzume-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [IlyaGusev/saiga_llama3_8b](https://huggingface.co/IlyaGusev/saiga_llama3_8b)
* [lightblue/suzume-llama-3-8B-mul... | {"language": ["ru", "en"], "license": "llama3", "tags": ["merge", "mergekit", "lazymergekit", "IlyaGusev/saiga_llama3_8b", "lightblue/suzume-llama-3-8B-multilingual"], "base_model": ["IlyaGusev/saiga_llama3_8b", "lightblue/suzume-llama-3-8B-multilingual"], "pipeline_tag": "text-generation"} | d0rj/Llama-3-8B-saiga-suzume-ties | null | [
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"base_model:lightblue/suzume-llama-3-8B-multilingua... | null | 2024-04-25T10:41:54+00:00 | [] | [
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# Llama-3-8B-saiga-suzume-ties
Llama-3-8B-saiga-suzume-ties is a merge of the following models using LazyMergekit:
* IlyaGusev/saiga_llama3_8b
* lightblue/suzume-llama-3-8B-multilingual
## Configuration
## Usage
or
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