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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. -->
# multilabel_emotion_classification_finetuned_multimodal
This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_e... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "lupobricco/feel_it_finetuned_pro_emit_multilabel2", "model-index": [{"name": "multilabel_emotion_classification_finetuned_multimodal", "results": []}]} | lupobricco/multilabel_emotion_classification_finetuned_multimodal | null | [
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| multilabel\_emotion\_classification\_finetuned\_multimodal
==========================================================
This model is a fine-tuned version of lupobricco/feel\_it\_finetuned\_pro\_emit\_multilabel2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2439
* F1: 0.5642... | [
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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:
* [tomaszki/stablelm-20](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-20", "coffie3/sx3"]} | Sumail/Barista49 | 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:
* tomaszki/stablelm-20
* coffie3/sx3
### Configuration
The following YAML configu... | [
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null | trl |
# Weni/WeniGPT-Agents-Zephyr-1.0.32-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with a new tokenizer configuration for chat template of zep... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Weni/WeniGPT-Agents-Zephyr-1.0.32-KTO", "results": []}]} | Weni/WeniGPT-Agents-Zephyr-1.0.32-KTO | null | [
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|
# Weni/WeniGPT-Agents-Zephyr-1.0.32-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
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null | null | # pet-shop-100-64_20_9062874564
## Model Description
pet-shop-100-64_20_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This th... | {} | florianhoenicke/pet-shop-100-64_20_9062874564 | null | [
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#region-us
| # pet-shop-100-64_20_9062874564
## Model Description
pet-shop-100-64_20_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
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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. -->
# XLS-R-SWAHILI-ASR-CV14
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_14_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "XLS-R-SWAHILI-ASR-CV14", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "da... | dmusingu/XLS-R-SWAHILI-ASR-CV14 | null | [
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| XLS-R-SWAHILI-ASR-CV14
======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_14\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: inf
* Wer: 0.2148
* Cer: 0.0684
Model description
-----------------
More information needed
Int... | [
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feature-extraction | transformers | # pet-shop-100-64_8_9062874564
## Model Description
pet-shop-100-64_8_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the ... | {} | florianhoenicke/pet-shop-100-64_8_9062874564 | null | [
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"bert",
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#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # pet-shop-100-64_8_9062874564
## Model Description
pet-shop-100-64_8_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
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text-generation | transformers |
# Uploaded model
- **Developed by:** AvizvaSolutions
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-1210
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "openchat/openchat-3.5-1210"} | AvizvaSolutions/testVersion-12 | null | [
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- Developed by: AvizvaSolutions
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | diffusers |
# Stable Diffusion x4 upscaler model card
This model card focuses on the model associated with the Stable Diffusion Upscaler, available [here](https://github.com/Stability-AI/stablediffusion).
This model is trained for 1.25M steps on a 10M subset of LAION containing images `>2048x2048`. The model was trained on crops ... | {"license": "openrail++", "tags": ["stable-diffusion"], "inference": false} | krnl/stable-diffusion-x4-upscaler | null | [
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# Stable Diffusion x4 upscaler model card
This model card focuses on the model associated with the Stable Diffusion Upscaler, available here.
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text-generation | keras-nlp |
# CodeGemma
This model card corresponds to the 7B instruct version of the Code Gemma model for usage in keras.
For more information about the model, visit https://huggingface.co/google/codegemma-7b-it.
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Tech... | {"license": "gemma", "library_name": "keras-nlp", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click belo... | google/codegemma-7b-it-keras | null | [
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|
# CodeGemma
This model card corresponds to the 7B instruct version of the Code Gemma model for usage in keras.
For more information about the model, visit URL
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw3 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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"### Bilingual Ability (CMMLU & MMLU)\n\n\nName: Yi-9B-200K, MMLU: 65.73, CMMLU: 71.97\nName: Faro-Yi-9B, MMLU: 68.80, CMMLU: 73.28"... | [
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text-generation | transformers | # Mula-4x160-v0.1
<img src="./logo-no-bg.png" alt="Mula" height="200">
## Model Summary
Mula is a series of Sparse Mixture of Experts (SMoE) language models, all trained natively in Brazilian Portuguese, designed to help democratize LLMs for low-resource languages.
Mula-4x160-v0.1 is our first experiment on pre-tra... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference"], "datasets": ["nicholasKluge/Pt-Corpus-Instruct"], "metrics": ["perplexity"], "pipeline_tag": "text-generation", "widget": [{"text": "A PUCRS \u00e9 uma universidade", "example_title": "Exemplo"}, {"text"... | MulaBR/Mula-4x160-v0.1 | null | [
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| Mula-4x160-v0.1
===============
Model Summary
-------------
Mula is a series of Sparse Mixture of Experts (SMoE) language models, all trained natively in Brazilian Portuguese, designed to help democratize LLMs for low-resource languages.
Mula-4x160-v0.1 is our first experiment on pre-training a SMo... | [] | [
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] |
text-generation | transformers |
<div align="center">
<h1>
MiniCPM
</h1>
</div>
<p align="center">
<a href="https://shengdinghu.notion.site/MiniCPM-c805a17c5c8046398914e47f0542095a?pvs=4" target="_blank">MiniCPM 技术报告</a><a href="https://shengdinghu.notion.site/MiniCPM-Unveiling-the-Potential-of-End-side-Large-Language-Models-d4d3a8c426424654a4e80... | {"language": ["en", "zh"], "tags": ["MiniCPM", "ModelBest", "THUNLP"]} | openbmb/MiniCPM-1B-sft-bf16 | null | [
"transformers",
"pytorch",
"text-generation",
"MiniCPM",
"ModelBest",
"THUNLP",
"custom_code",
"en",
"zh",
"autotrain_compatible",
"region:us"
] | null | 2024-04-10T13:54:34+00:00 | [] | [
"en",
"zh"
] | TAGS
#transformers #pytorch #text-generation #MiniCPM #ModelBest #THUNLP #custom_code #en #zh #autotrain_compatible #region-us
|
MiniCPM
=========
[MiniCPM 技术报告](URL target=) [Technical Report](URL target=) |
[OmniLMM 多模态模型 Multi-modal Model](URL target=) |
[CPM-C 千亿模型试用 ~100B Model Trial](URL target=)
MiniCPM 是面壁与清华大学自然语言处理实验室共同开源的系列端侧语言大模型，主体语言模型 MiniCPM-1B 仅有 12亿（1.2B）的非词嵌入参数量。
* 经过 SFT 后，MiniCPM 在公开综合性评测集上，MiniCPM 与 Mistral-7B相近... | [
"### 评测结果 Evaluation Results\n\n\n详细的评测结果位于github仓库\n\n\nDetailed evaluation results are in github repo\n\n\n注意：我们发现使用Huggingface生成质量略差于vLLM，因此推荐使用vLLM进行测试。我们正在排查原因。\n\n\nNotice: We discovered that the quality of Huggingface generation is slightly lower than vLLM, thus benchmarking using vLLM is recommended.\nWe ar... | [
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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-imdb-31m-mz-ada-v3-bs-16
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-imdb-31m-mz-ada-v3-bs-16", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-31m-mz-ada-v3-bs-16 | null | [
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"gpt_neox",
"text-classification",
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"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T13:54:46+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-imdb-31m-mz-ada-v3-bs-16
This model is a fine-tuned version of EleutherAI/pythia-31m 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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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore 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. -->
# type2_pos_1
This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_mult... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/mT5_multilingual_XLSum", "model-index": [{"name": "type2_pos_1", "results": []}]} | tjkmitl/type2_pos_1 | null | [
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| type2\_pos\_1
=============
This model is a fine-tuned version of csebuetnlp/mT5\_multilingual\_XLSum on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9319
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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* lr\\_scheduler\\_warmup\\_steps: ... | [
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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | KarlKarl/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.3505
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral_7B_0.2_Chat_finetuned_DS_v2_RL
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral_7B_0.2_Chat_finetuned_DS_v2_RL", "results": []}]} | mango-sciences/Mistral_7B_0.2_Chat_finetuned_DS_v2_RL | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# Mistral_7B_0.2_Chat_finetuned_DS_v2_RL
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/JDBMG/Jericho_v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "JDBMG/Jericho_v1", "quantized_by": "mradermacher"} | mradermacher/Jericho_v1-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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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. -->
# longformer-pubmed-20k
This model is a fine-tuned version of [hyesunyun/update-summarization-bart-large-longformer](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "hyesunyun/update-summarization-bart-large-longformer", "model-index": [{"name": "longformer-pubmed-20k", "results": []}]} | Chung-Fan/longformer-pubmed-20k | null | [
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| longformer-pubmed-20k
=====================
This model is a fine-tuned version of hyesunyun/update-summarization-bart-large-longformer on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9952
Model description
-----------------
More information needed
Intended uses & limita... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | Juliofc/chaterapia_mistral_model | null | [
"peft",
"safetensors",
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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### Model Sources [optional]
- Repository:
- Paper [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. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | AlexanderBenady/t5-small-finetuned-xsum | null | [
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| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6221
* Rouge1: 15.72
* Rouge2: 6.6235
* Rougel: 12.8637
* Rougelsum: 14.4491
* Gen Len: 19.0
Model description
-----------------
... | [
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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. -->
# mistral-7b-dpo-full-wo-medication_qa-ep3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.c... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-dpo-full-wo-medication_qa-ep3", "results": []}]... | Minbyul/mistral-7b-dpo-full-wo-medication_qa-ep3 | null | [
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| mistral-7b-dpo-full-wo-medication\_qa-ep3
=========================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3800
* Rewards/chosen: -2.4212
* Rewards/rejec... | [
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null | transformers |
# Uploaded model
- **Developed by:** OsaCode
- **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/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | OsaCode/mistral_pq_10000 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text-generation | keras-nlp |
# Gemma 1.1
This model card corresponds to the 2B instruct version of the Gemma 1.1 model for usage in keras.
For more information about the model, visit https://huggingface.co/google/gemma-1.1-2b-it.
Model Page
: [Gemma](https://ai.google.dev/gemma/docs/gemma)
Resources and Technical Documentation
: [Technical Rep... | {"license": "gemma", "library_name": "keras-nlp", "extra_gated_heading": "Access Gemma 1.1 on Hugging Face", "extra_gated_prompt": "To access Gemma 1.1 on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click belo... | google/gemma-1.1-2b-it-keras | null | [
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|
# Gemma 1.1
This model card corresponds to the 2B instruct version of the Gemma 1.1 model for usage in keras.
For more information about the model, visit URL
Model Page
: Gemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
## Lo... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw3.5 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Abhishek107/Requestlog_1 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | 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-imdb-70m-mz-ada-v3-bs-16
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-imdb-70m-mz-ada-v3-bs-16", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-70m-mz-ada-v3-bs-16 | null | [
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|
# robust_llm_pythia-imdb-70m-mz-ada-v3-bs-16
This model is a fine-tuned version of EleutherAI/pythia-70m 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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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | cvm2024/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3627
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": ["trl", "sft"]} | mmpc/Qwen1.5-4B-4bit-ft | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ZappY-AI/gemma-7b-it-prompt-recovery-v0.1 | 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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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | basil-ahmad/poca-SoccerTwos | null | [
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#ml-agents #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
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text-generation | keras-nlp |
# Gemma 1.1
This model card corresponds to the 7B instruct version of the Gemma 1.1 model for usage in keras.
For more information about the model, visit https://huggingface.co/google/gemma-1.1-7b-it.
Model Page
: [Gemma](https://ai.google.dev/gemma/docs/gemma)
Resources and Technical Documentation
: [Technical Rep... | {"license": "gemma", "library_name": "keras-nlp", "extra_gated_heading": "Access Gemma 1.1 on Hugging Face", "extra_gated_prompt": "To access Gemma 1.1 on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click belo... | google/gemma-1.1-7b-it-keras | null | [
"keras-nlp",
"text-generation",
"license:gemma",
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#keras-nlp #text-generation #license-gemma #region-us
|
# Gemma 1.1
This model card corresponds to the 7B instruct version of the Gemma 1.1 model for usage in keras.
For more information about the model, visit URL
Model Page
: Gemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
## Lo... | [
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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. -->
# AI-generated_images_detector
This model achieves the following results on the evaluation set:
- Loss: 0.0987
- Accuracy: 0.9736
... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "inference": false, "model-index": [{"name": "AI-generated_images_detector", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type... | NYUAD-ComNets/AI-generated_images_detector | null | [
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| AI-generated\_images\_detector
==============================
This model achieves the following results on the evaluation set:
* Loss: 0.0987
* Accuracy: 0.9736
To utilize this model
=====================
Training and evaluation data
----------------------------
### Training results
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null | null | Giới thiệu:
Diafinol là thực phẩm bổ sung mang tính cách mạng được thiết kế để hỗ trợ lượng đường trong máu khỏe mạnh. Trong hướng dẫn toàn diện này, chúng tôi sẽ tìm hiểu kỹ Diafinol máy tính bảng là gì, cách thức hoạt động, lợi ích của nó và nơi bạn có thể mua nó.
<a href="https://www.nutritionsee.com/Diafinvien">... | {"license": "apache-2.0"} | Diafinol/Diafinol-vietnam | null | [
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#license-apache-2.0 #region-us
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Diafinol là thực phẩm bổ sung mang tính cách mạng được thiết kế để hỗ trợ lượng đường trong máu khỏe mạnh. Trong hướng dẫn toàn diện này, chúng tôi sẽ tìm hiểu kỹ Diafinol máy tính bảng là gì, cách thức hoạt động, lợi ích của nó và nơi bạn có thể mua nó.
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text2text-generation | transformers |
# Language Adaption of mT0
This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in [Load What You Need: Smaller Versions of Multilingual BERT](https://arxiv.org/ftp/arxiv/papers/2010/2010.05609.pdf).
The vocabulary has been adjusted to contain the top 2000 tokens ov... | {"language": ["en", "de"], "license": "apache-2.0", "tags": ["text2text-generation"], "datasets": ["bigscience/xP3", "mc4", "Leipzig_corpora_collection"], "pipeline_tag": "text2text-generation"} | SDA-Sum/deT0-xl | null | [
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| Language Adaption of mT0
========================
This model is an adaption of the mT0 variant (see below) for languages en, de based on the methodology in Load What You Need: Smaller Versions of Multilingual BERT.
The vocabulary has been adjusted to contain the top 2000 tokens overall as well as
* the top 15000 ... | [
"### CPU\n\n\n\n Click to expand",
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"### GPU in 8bit\n\n\n\n Click to expand",
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text2text-generation | transformers |
# Model Card for Traductor Inclusivo
This model is a fine-tuned version of [projecte-aina/aguila-7b](https://huggingface.co/projecte-aina/aguila-7b) on the dataset [somosnlp/es-inclusive-language](https://huggingface.co/datasets/somosnlp/es-inclusive-language).
Languages are powerful tools to communicate ideas, but ... | {"language": ["es"], "license": "cc-by-nc-sa-4.0", "tags": ["social"], "datasets": ["somosnlp/es-inclusive-language"], "metrics": ["bleurt", "sacrebleu"], "pipeline_tag": "text2text-generation"} | somosnlp/es-inclusivo-translator | null | [
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| Model Card for Traductor Inclusivo
==================================
This model is a fine-tuned version of projecte-aina/aguila-7b on the dataset somosnlp/es-inclusive-language.
Languages are powerful tools to communicate ideas, but their use is not impartial. The selection of words carries inherent biases and ref... | [
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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": []} | jr303/sc-Mistral-7B-v4 | 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. -->
# emotional-distilbert-3
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "emotional-distilbert-3", "results": []}]} | sherelyn912/emotional-distilbert-3 | null | [
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| emotional-distilbert-3
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1515
* Accuracy: 0.4428
* F1: 0.4258
* Precision: 0.4408
* Recall: 0.4428
Model description
---------------... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - fashxp/mercedes-2
<Gallery />
## Model description
These are fashxp/mercedes-2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Spec... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of fash-car"} | fashxp/mercedes-2 | null | [
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"license:openrail++",
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|
# AutoTrain SDXL LoRA DreamBooth - fashxp/mercedes-2
<Gallery />
## Model description
These are fashxp/mercedes-2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw3.7 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
"### Fact-based Evaluation (Open LLM Leaderboard)",
"### Long-context Modeling (LongBench)\n\n\n\n\nScore breakdown",
"### Performance on Preference (MT-Bench)\n\n\n!image/png",
"### Bilingual Ability (CMMLU & MMLU)\n\n\nName: Yi-9B-200K, MMLU: 65.73, CMMLU: 71.97\nName: Faro-Yi-9B, MMLU: 68.80, CMMLU: 73.28"... | [
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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-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | CitizenKayne/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2549
* Accuracy: 0.9205
* F1: 0.9205
Model description
-----------------
Mo... | [
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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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | caarkii/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-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
###... | [
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null | null | # Mixtral-8x22B Original
The original weights for Mixtral 8x22B.
These weights are unconverted. For converted weights, see [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1).
## Joining Files
(Untested) script to join the files back together (run this where you downl... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | mistral-community/Mixtral-8x22B-v0.1-original | null | [
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| # Mixtral-8x22B Original
The original weights for Mixtral 8x22B.
These weights are unconverted. For converted weights, see mistral-community/Mixtral-8x22B-v0.1.
## Joining Files
(Untested) script to join the files back together (run this where you downloaded the files):
It may take a while.
## Conversion to HF
... | [
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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": []} | jusKnows/hr_adapter_perf_opt_local | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | SM00/dummy-model | null | [
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# Model Card for Model ID
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### 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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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | meiyun1995/ppo-PyramidsTraining | null | [
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"Pyramids",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
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 ... | [
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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": []} | zbambergerNLP/hf_t5 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# type2_neg_1
This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_mult... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/mT5_multilingual_XLSum", "model-index": [{"name": "type2_neg_1", "results": []}]} | tjkmitl/type2_neg_1 | null | [
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| type2\_neg\_1
=============
This model is a fine-tuned version of csebuetnlp/mT5\_multilingual\_XLSum on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0065
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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text-to-image | diffusers | # shux01
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/idevst/shux001/tree/main) them in the Files & versions tab.
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| # shux01
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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-imdb-14m-mz-ada-v3-bs-8
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/E... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-imdb-14m-mz-ada-v3-bs-8", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-14m-mz-ada-v3-bs-8 | null | [
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# robust_llm_pythia-imdb-14m-mz-ada-v3-bs-8
This model is a fine-tuned version of EleutherAI/pythia-14m 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 |
# Uploaded model
- **Developed by:** Awesomeluc
- **License:** apache-2.0
- **Finetuned from model :** alpindale/Mistral-7B-v0.2-hf
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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "alpindale/Mistral-7B-v0.2-hf"} | Awesomeluc/CompliAI171A_Base-GGUF | null | [
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# Uploaded model
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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 | <!-- header start -->
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![Twitter](URL
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null | transformers | ## About
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### vocab_type: -->
static quants of https://huggingface.co/JDBMG/Herdolphyr
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "JDBMG/Herdolphyr", "quantized_by": "mradermacher"} | mradermacher/Herdolphyr-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.
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-----
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw4 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
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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": []} | ashanhr/wav2vec2-large-xls-r-2b-finetune-dali-480-minutes | null | [
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null | null | EXL2 quants of [Mixtral 8x22B v0.1](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1/tree/main)
[2.30 bits per weight](https://huggingface.co/turboderp/Mixtral-8x22B-v0.1-exl2/tree/2.3bpw)
[2.90 bits per weight](https://huggingface.co/turboderp/Mixtral-8x22B-v0.1-exl2/tree/2.9bpw)
[3.00 bits per weight](https... | {} | turboderp/Mixtral-8x22B-v0.1-exl2 | null | [
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text-generation | transformers |
# Model Card for Model ID
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### 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": []} | jusKnows/hr_bloom_prompt_tuned_local | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Task_A_roberta.5crossv
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model descri... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Task_A_roberta.5crossv", "results": []}]} | dianamihalache27/Task_A_roberta.5crossv | null | [
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# Task_A_roberta.5crossv
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperparameters
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image-to-image | diffusers |
# Dreamshaper 8 inpainting
`lykon-models/dreamshaper-8-inpainting` is a Stable Diffusion Inpainting model that has been fine-tuned on [runwayml/stable-diffusion-inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting).
Please consider supporting me:
- on [Patreon](https://www.patreon.com/Lykon275)
-... | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "inpainting", "art", "artistic", "diffusers", "anime", "dreamshaper"], "duplicated_from": "lykon-models/dreamshaper-8-inpainting"} | krnl/dreamshaper-8-inpainting | null | [
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|
# Dreamshaper 8 inpainting
'lykon-models/dreamshaper-8-inpainting' is a Stable Diffusion Inpainting model that has been fine-tuned on runwayml/stable-diffusion-inpainting.
Please consider supporting me:
- on Patreon
- or buy me a coffee
## Diffusers
For more general information on how to run inpainting models wit... | [
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text-generation | transformers | <!-- header start -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle01 | 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:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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... | {"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/gpt2-bnb-8bit-smashed | null | [
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![Twitter](URL
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["chargoddard/internlm2-7b-llama", "arcee-ai/Patent-Instruct-7b", "NousResearch/Llama-2-7b-hf"]} | mergekit-community/mergekit-ties-kkhkcqw | 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 TIES merge method using NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* chargoddard/internlm2-7b-llama
* arcee-... | [
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null | null | # Model Card for Mixtral-8x22B
Converted to HuggingFace Transformers format using the script [here](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1/blob/main/convert.py).
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
## Run the model
```python
from transformers impo... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | hermes42/Mixtral-8x22B-v0.1-GGUF | null | [
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#gguf #moe #fr #it #de #es #en #license-apache-2.0 #region-us
| # Model Card for Mixtral-8x22B
Converted to HuggingFace Transformers format using the script here.
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## Run the model
By default, transformers will load the model in full precision. Therefore you might be interested to fu... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<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
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | MrPrjnce/poca-SoccerTwos | null | [
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#ml-agents #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw4.2 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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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 ar1 - Mohamed Shaaban
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/wh... | {"language": ["ar"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Small ar1 - Mohamed Shaaban", "results": [{"task": {"type": "automatic-speec... | Mohamedshaaban2001/MSDC-whisper-base | null | [
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| Whisper Small ar1 - Mohamed Shaaban
===================================
This model is a fine-tuned version of openai/whisper-base on the Common standard ar Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4585
* Wer: 65.2720
Model description
-----------------
More informat... | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-dpo-full-wo-kqa_golden-ep3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/m... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-dpo-full-wo-kqa_golden-ep3", "results": []}]} | Minbyul/mistral-7b-dpo-full-wo-kqa_golden-ep3 | null | [
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| mistral-7b-dpo-full-wo-kqa\_golden-ep3
======================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2182
* Rewards/chosen: -1.5510
* Rewards/rejected: -... | [
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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": []} | Jinwoo870/Llama2_Finetuned_input_output-textdata | 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. -->
# type2_general_1
This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/mT5_multilingual_XLSum", "model-index": [{"name": "type2_general_1", "results": []}]} | tjkmitl/type2_general_1 | null | [
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| type2\_general\_1
=================
This model is a fine-tuned version of csebuetnlp/mT5\_multilingual\_XLSum on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0966
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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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 | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# V0410MPTEST2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MPTEST2", "results": []}]} | Litzy619/V0410MPTEST2 | null | [
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| V0410MPTEST2
============
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: 0.0710
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw4.4 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mlabonne/UltraMerge-v2-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "mlabonne/UltraMerge-v2-7B", "quantized_by": "mradermacher"} | mradermacher/UltraMerge-v2-7B-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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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. -->
# V0410MPTEST3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MPTEST3", "results": []}]} | Litzy619/V0410MPTEST3 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MPTEST3
============
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: 0.0737
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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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": "TheBloke/Llama-2-7B-Chat-fp16"} | SwimChoi/ICLR-alpaca-peft | null | [
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# Model Card for Model ID
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### Model Description
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### Model Sources [optional]
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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-imdb-31m-mz-ada-v3-bs-8
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/E... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-imdb-31m-mz-ada-v3-bs-8", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-31m-mz-ada-v3-bs-8 | null | [
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|
# robust_llm_pythia-imdb-31m-mz-ada-v3-bs-8
This model is a fine-tuned version of EleutherAI/pythia-31m 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 |
# T3qT3qm7xp-7B
T3qT3qm7xp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [nlpguy/T3QM7XP](https://huggingface.co/nlpguy/T3QM7XP)
## 🧩 Configuration
```yaml
models:
- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
# No parameters necessar... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["nlpguy/T3QM7XP"]} | automerger/T3qT3qm7xp-7B | null | [
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|
# T3qT3qm7xp-7B
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## Configuration
## Usage
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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. -->
# babyberta-french-wiki-finetuned-fquad-v1
This model was trained from scratch on the None dataset.
## Model description
More in... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "babyberta-french-wiki-finetuned-fquad-v1", "results": []}]} | lielbin/babyberta-french-wiki-finetuned-fquad-v1 | null | [
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|
# babyberta-french-wiki-finetuned-fquad-v1
This model was trained from scratch 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 hyperparameters
... | [
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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. -->
# table-transformer-detection_finetuned_CSGO
This model is a fine-tuned version of [ShaneOD2611/table-transformer-detection_finetu... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ShaneOD2611/table-transformer-detection_finetuned_CSGO", "model-index": [{"name": "table-transformer-detection_finetuned_CSGO", "results": []}]} | ShaneOD2611/table-transformer-detection_finetuned_CSGO | null | [
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| table-transformer-detection\_finetuned\_CSGO
============================================
This model is a fine-tuned version of ShaneOD2611/table-transformer-detection\_finetuned\_CSGO on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3249
Model description
----------------... | [
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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 GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/opena... | {"language": ["ga", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-smal... | ymoslem/whisper-small-ga2en-v1.0.1 | null | [
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"base_model:opena... | null | 2024-04-10T15:26:16+00:00 | [] | [
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======================================
This model is a fine-tuned version of openai/whisper-small on an unknown dataset.
The best model (this version) is at checkpoint 1400, epoch 1.51, and it achieves the following results on the evaluation set:
* Loss: 1.3989
* Bleu: 28.53
*... | [
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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. -->
# babyberta-french-wiki-finetuned-french-squad-v1
This model was trained from scratch on the None dataset.
## Model description
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "babyberta-french-wiki-finetuned-french-squad-v1", "results": []}]} | lielbin/babyberta-french-wiki-finetuned-french-squad-v1 | null | [
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|
# babyberta-french-wiki-finetuned-french-squad-v1
This model was trained from scratch 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 hyperparam... | [
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - multimodalart/B-LoRA_huggy
<Gallery />
## Model description
These are multimodalart/B-LoRA_hug... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A [v]", "widget": []} | multimodalart/B-LoRA_huggy | null | [
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|
# SDXL LoRA DreamBooth - multimodalart/B-LoRA_huggy
<Gallery />
## Model description
These are multimodalart/B-LoRA_huggy LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training:... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora", "results": []}]} | rayane-donni/zephyr-7b-sft-qlora | null | [
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| zephyr-7b-sft-qlora
===================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9584
Model description
-----------------
More information needed
Intended uses & limitations
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n... | [
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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": []} | falba/t5-small-finetuned-news-ep1-1024 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_16_32_0.01_2_0.0002 | null | [
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### Model Description
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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. -->
# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["text-generation-inference", "text generation", "conversational", "trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7binstruct_mentalhealthmodel_oct23", "results": []}]} | breadeater1496/KoeleJane | null | [
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|
# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | trsdimi/poca-SoccerTwos | null | [
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"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
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] | null | 2024-04-10T15:39:31+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\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 ... | [
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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-b0-finetuned
This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "nvidia/mit-b1", "model-index": [{"name": "segformer-b0-finetuned", "results": []}]} | MF21377197/segformer-b0-finetuned | null | [
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#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-nvidia/mit-b1 #license-other #endpoints_compatible #region-us
| segformer-b0-finetuned
======================
This model is a fine-tuned version of nvidia/mit-b1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9071
* Mean Iou: 0.1088
* Mean Accuracy: 0.1908
* Overall Accuracy: 0.6298
* Per Category Iou: [0.8815300289358812, nan, nan, 0.... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-bpw4.6 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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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": []} | ferrazzipietro/Qwen1.5-7B-Chat__adapters_en.layer1_NoQuant_torch.bfloat16_16_32_0.01_4_0.0002 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to co... | [
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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": "openai/whisper-base"} | ygaci/whisper-base-fr_common_voice_16_1_1_extra | null | [
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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