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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. -->
# phi-1_5-finetuned-aqua-rat-4k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-4k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-4k | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-03-31T11:38:04+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-4k
This model is a fine-tuned version of microsoft/phi-1_5 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 hyperpar... | [
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null | transformers | ## About
static quants of https://huggingface.co/allknowingroger/StrangeMonarch-7B-slerp
<!-- provided-files -->
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 ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "abideen/AlphaMonarch-daser", "Gille/StrangeMerges_44-7B-dare_ties"], "base_model": "allknowingroger/StrangeMonarch-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/StrangeMonarch-7B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw4.6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T11:40:51+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11", "results": [{"task": {"type": "automatic-speech-recognition", "nam... | EzraWilliam/wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11 | null | [
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| wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra\_William\_Prod11
=============================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3642
* Wer: 0.3517... | [
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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. -->
# lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_meta-llama_Llama-2-7b-hf_lora
This model is a fine-tuned version of [meta-llama/... | {"tags": ["generated_from_trainer"], "datasets": ["tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3"], "metrics": ["accuracy"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_meta-llama_Llama-2-7b-hf_lora", "results": [{"task": {"type": "text-gen... | tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_meta-llama_Llama-2-7b-hf_lora | null | [
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| lmind\_nq\_train6000\_eval6489\_v1\_reciteonly\_qa\_v3\_meta-llama\_Llama-2-7b-hf\_lora
=======================================================================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the tyzhu/lmind\_nq\_train6000\_eval6489\_v1\_reciteonly\_qa\_v3 dataset.
It... | [
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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": []} | matsue/gpt_0.125B_global_wiki_step820 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # GGUF quants for [**xverse/XVERSE-7B**](https://huggingface.co/xverse/XVERSE-7B) using [llama.cpp](https://github.com/ggerganov/llama.cpp)
**Terms of Use**: Please check the [**original model**](https://huggingface.co/xverse/XVERSE-7B)
<picture>
<img alt="cthulhu" src="https://huggingface.co/neopolita/common/resolve... | {} | neopolita/xverse-7b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-03-31T11:44:07+00:00 | [] | [] | TAGS
#gguf #region-us
| # GGUF quants for xverse/XVERSE-7B using URL
Terms of Use: Please check the original model
<picture>
<img alt="cthulhu" src="URL
</picture>
## Quants
* 'q2_k': Uses Q4_K for the URL and feed_forward.w2 tensors, Q2_K for the other tensors.
* 'q3_k_s': Uses Q3_K for all tensors
* 'q3_k_m': Uses Q4_K for the URL, URL,... | [
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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. -->
# t5-large-v2
This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-large", "model-index": [{"name": "t5-large-v2", "results": []}]} | ShokSmile/t5-large-v2 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:google-t5/t5-large",
"license:apache-2.0",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-google-t5/t5-large #license-apache-2.0 #region-us
| t5-large-v2
===========
This model is a fine-tuned version of google-t5/t5-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7305
* Rouge1: 28.8944
* Rouge2: 10.3653
* Rougel: 20.1830
* Rougelsum: 20.1839
Model description
-----------------
More information needed
... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_2.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_2.0`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_2.0) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_2.0) for more det... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp"], "base_model": ["ezelikman/quietstar-8-ahead", "LeroyDyer/Mistral_AI_CyberBrain", "liminerity/Mistral-quiet-star-demo", "LeroyDyer/Mixtral_AI_Cyber_Dolphin"]} | LeroyDyer/Mixtral_AI_CyberBrain_2.0-Q4_K_M-GGUF | null | [
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"base_model:LeroyDyer/Mixtral_AI_Cyber_Dolphin",
"endpoints_compatible",
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] | null | 2024-03-31T11:44:33+00:00 | [] | [] | TAGS
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|
# LeroyDyer/Mixtral_AI_CyberBrain_2.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_2.0' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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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. -->
# Arnab_finetuned_HTML
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b)... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["bigcode/the-stack-smol"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "Arnab_finetuned_HTML", "results": []}]} | arnab18maity/Arnab_finetuned_HTML | null | [
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|
# Arnab_finetuned_HTML
This model is a fine-tuned version of bigcode/starcoder2-3b 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 hyperparame... | [
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text-generation | transformers | # [MaziyarPanahi/T3qm7xStrangemerges_32-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qm7xStrangemerges_32-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qm7xStrangemerges_32-7B](https://huggingface.co/automerger/T3qm7xStrangemerges_32-7B)
## Description
[Ma... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Gille/StrangeMerges_32-7B-slerp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-g... | MaziyarPanahi/T3qm7xStrangemerges_32-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/T3qm7xStrangemerges_32-7B
## Description
MaziyarPanahi/T3qm7xStrangemerges_32-7B-GGUF contains GGUF format model files for automerger/T3qm7xStrangemerges_32-7B.
## How to use
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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": []} | nournirabi/my-Gemma-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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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. -->
# outputs
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "outputs", "results": []}]} | nournirabi/outputs | null | [
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|
# outputs
This model is a fine-tuned version of google/gemma-2b 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 following... | [
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token-classification | span-marker |
# SpanMarker with xlm-roberta-base
Trained on various nordic lang. datasets: see https://huggingface.co/datasets/tollefj/nordic-ner
This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [norne](https://huggingface.co/datasets/norne) dataset that can be used for Named Entity Recogniti... | {"language": "en", "license": "cc-by-sa-4.0", "library_name": "span-marker", "tags": ["span-marker", "token-classification", "ner", "named-entity-recognition", "generated_from_span_marker_trainer"], "datasets": ["norne"], "metrics": ["precision", "recall", "f1"], "base_model": "FacebookAI/xlm-roberta-base", "widget": [... | tollefj/nordic-ner | null | [
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| SpanMarker with xlm-roberta-base
================================
Trained on various nordic lang. datasets: see URL
This is a SpanMarker model trained on the norne dataset that can be used for Named Entity Recognition. This SpanMarker model uses FacebookAI/xlm-roberta-base as the underlying encoder.
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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": []} | fengtc/gemma-7b-chinese-ft | null | [
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null | transformers |
# Model Card for Model ID
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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": []} | areegtarek/idefics-9b-threebatchestenepochs | null | [
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translation | transformers |
# Northern Frisian translation model
This is an [NLLB-200-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) model fine-tuned for translating between German and
the Northern Frisian dialect Mooring following [this great blogpost](https://cointegrated.medium.com/a37fc706b865).
## Data
The dataset for fine... | {"language": ["de", "frr"], "license": "cc-by-nc-4.0", "pipeline_tag": "translation", "base_model": "facebook/nllb-200-distilled-600M", "inference": false} | CmdCody/nllb-deu-moo | null | [
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|
# Northern Frisian translation model
This is an NLLB-200-600M model fine-tuned for translating between German and
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## Data
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jayavibhav/gemma-if-graph-v1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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-bank_reviews-otherbank-4insteadof3
This model is a fine-tuned version of [distilbert/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert/distilbert-base-uncased-finetuned-sst-2-english", "model-index": [{"name": "finetuning-sentiment-model-bank_reviews-otherbank-4insteadof3", "results": []}]} | ajiayi/finetuning-sentiment-model-bank_reviews-otherbank-4insteadof3 | null | [
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|
# finetuning-sentiment-model-bank_reviews-otherbank-4insteadof3
This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4295
- Accuracy: 0.8839
- F1: 0.7547
## Model description
More ... | [
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw4.8 | null | [
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"license:apache-2.0",
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"region:us"
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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text-generation | transformers | # [MaziyarPanahi/Experiment27Pastiche-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment27Pastiche-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
## Description
[MaziyarPan... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:CorticalStack/pastiche-crown-clown-7b-dare-dpo", "license:apache-2.0", "autotrain_compatible", "endpoints_compa... | MaziyarPanahi/Experiment27Pastiche-7B-GGUF | null | [
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... | null | 2024-03-31T12:03:47+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Experiment27Pastiche-7B
## Description
MaziyarPanahi/Experiment27Pastiche-7B-GGUF contains GGUF format model files for automerger/Experiment27Pastiche-7B.
## How to use
Thanks to TheBloke for preparing an amazing REA... | [
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text-generation | null |
# ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF
This model was converted to GGUF format from [`athirdpath/BigMistral-11b-GLUED`](https://huggingface.co/athirdpath/BigMistral-11b-GLUED) using llama.cpp.
Refer to the [original model card](https://huggingface.co/athirdpath/BigMistral-11b-GLUED) for more details on the model.
... | {"language": ["en", "es"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp"], "pipeline_tag": "text-generation"} | ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF | null | [
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"llama-cpp",
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"en",
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"license:cc-by-nc-4.0",
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#gguf #llama-cpp #text-generation #en #es #license-cc-by-nc-4.0 #region-us
|
# ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF
This model was converted to GGUF format from 'athirdpath/BigMistral-11b-GLUED' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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] |
text-generation | transformers |
# SEC-1.6-MBX-7B-DPO
SEC-1.6-MBX-7B-DPO is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [arcee-ai/sec-mistral-7b-instruct-1.6-epoch](https://huggingface.co/arcee-ai/sec-mistral-7b-instruct-1.6-epoch)
* [macadeliccc/MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-D... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch", "macadeliccc/MBX-7B-v3-DPO"]} | arcee-ai/SEC-1.6-MBX-7B-DPO | null | [
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] | null | 2024-03-31T12:05:21+00:00 | [] | [] | TAGS
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|
# SEC-1.6-MBX-7B-DPO
SEC-1.6-MBX-7B-DPO is a merge of the following models using mergekit:
* arcee-ai/sec-mistral-7b-instruct-1.6-epoch
* macadeliccc/MBX-7B-v3-DPO
## Configuration
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lleticiasilvaa/TinyLlama-1.1B-Chat-v1.0-checkpoint-40 | 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-to-image | diffusers | ### WHITE-CAT Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
![1](https://huggingface.co... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | NAZRIN2024/white-cat | null | [
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| ### WHITE-CAT Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
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text-generation | transformers |
# SEC-1.6-Calme-7B-Instruct
SEC-1.6-Calme-7B-Instruct is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [arcee-ai/sec-mistral-7b-instruct-1.6-epoch](https://huggingface.co/arcee-ai/sec-mistral-7b-instruct-1.6-epoch)
* [MaziyarPanahi/Calme-7B-Instruct-v0.2](https://huggingface.c... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch", "MaziyarPanahi/Calme-7B-Instruct-v0.2"]} | arcee-ai/SEC-1.6-Calme-7B-Instruct | null | [
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|
# SEC-1.6-Calme-7B-Instruct
SEC-1.6-Calme-7B-Instruct is a merge of the following models using mergekit:
* arcee-ai/sec-mistral-7b-instruct-1.6-epoch
* MaziyarPanahi/Calme-7B-Instruct-v0.2
## Configuration
| [
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text-to-image | diffusers |
# Stable Diffusion UniControl 1.1 Model Card
Stable Diffusion UniControl is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
You can use this with the [🧨Diffusers Plus Plus library.](https://github.com/ModelsLab/diffusers_plus_plus), our fork of diffusers.
_... | {"tags": ["stable-diffusion-controlnet", "unicontrol", "text-to-image", "diffusers-plus-plus"], "inference": false} | ModelsLab/unicontrol-v1.1 | null | [
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|
# Stable Diffusion UniControl 1.1 Model Card
Stable Diffusion UniControl is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
You can use this with the Diffusers Plus Plus library., our fork of diffusers.
_Note: For now, please install diffusers_plus_plus from... | [
"# Stable Diffusion UniControl 1.1 Model Card\n\nStable Diffusion UniControl is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.\n\nYou can use this with the Diffusers Plus Plus library., our fork of diffusers.\n\n_Note: For now, please install diffusers_plus... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberBrain_2.1
Lora merged
A test merge of quietstar models and loras ? and yet hmm ! it may still need more neural-network internal tuning....
Yes i dont see the additional layers ... for the ... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "Cyber-Series"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_2.1"} | LeroyDyer/Mixtral_AI_CyberBrain_2.1 | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_CyberBrain_2.1
Lora merged
A test merge of quietstar models and loras ? and yet hmm ! it may still need more neural-network internal tuning....
Yes i dont see the additional layers ... for the thinkng head... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-5 | 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-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw5 | null | [
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"5-bit",
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cnn_news_summary_model_trained_on_reduced_data
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "cnn_news_summary_model_trained_on_reduced_data", "results": []}]} | Ash11/cnn_news_summary_model_trained_on_reduced_data | null | [
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| cnn\_news\_summary\_model\_trained\_on\_reduced\_data
=====================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6040
* Rouge1: 0.2179
* Rouge2: 0.0942
* Rougel: 0.1839
* Rougelsum: 0.... | [
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null | transformers | ## About
static quants of https://huggingface.co/Undi95/PsyMedRP-v1-20B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/PsyMedRP-v1-20B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/K... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/PsyMedRP-v1-20B", "quantized_by": "mradermacher"} | mradermacher/PsyMedRP-v1-20B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-5-copy | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment28Neuralsirkrishna-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment28Neuralsirkrishna-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment28Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment28Neuralsirkrishna... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Kukedlc/NeuralSirKrishna-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-gener... | MaziyarPanahi/Experiment28Neuralsirkrishna-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment28Neuralsirkrishna-7B
## Description
MaziyarPanahi/Experiment28Neuralsirkrishna-7B-GGUF contains GGUF format model files for automerger/Experiment28Neuralsirkrishna-7B.
## How to use
Thanks to TheBl... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_2.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_2.1`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_2.1) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_2.1) for more det... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_2.1"} | LeroyDyer/Mixtral_AI_CyberBrain_2.1-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_CyberBrain_2.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_2.1' using URL.
Refer to the original model card for more details on the model.
## Use with 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. -->
# skin-cancer
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intend... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "skin-cancer", "results": []}]} | universalml/skin-cancer | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
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|
# skin-cancer
This model was trained from scratch 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 following hyperparamete... | [
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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. -->
# lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_meta-llama_Llama-2-7b-hf_lora2
This model is a fine-tuned version of [meta-llama... | {"tags": ["generated_from_trainer"], "datasets": ["tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3"], "metrics": ["accuracy"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_meta-llama_Llama-2-7b-hf_lora2", "results": [{"task": {"type": "text-ge... | tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3_meta-llama_Llama-2-7b-hf_lora2 | null | [
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| lmind\_nq\_train6000\_eval6489\_v1\_reciteonly\_qa\_v3\_meta-llama\_Llama-2-7b-hf\_lora2
========================================================================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the tyzhu/lmind\_nq\_train6000\_eval6489\_v1\_reciteonly\_qa\_v3 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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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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null | null | # aixsatoshi-Honyaku-Multi-Translator-Swallow-ms7b-gguf
[aixsatoshiさんが公開しているHonyaku-Multi-Translator-Swallow-ms7b](https://huggingface.co/aixsatoshi/Honyaku-Multi-Translator-Swallow-ms7b)のggufフォーマット変換版です。
## 他のモデル
[mmnga/aixsatoshi-Honyaku-7b-v2-gguf](https://huggingface.co/mmnga/aixsatoshi-Honyaku-7b-v2-gguf)
[mmn... | {"language": ["en", "ja"], "license": "apache-2.0", "tags": ["mistral"]} | mmnga/aixsatoshi-Honyaku-Multi-Translator-Swallow-ms7b-gguf | null | [
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aixsatoshiさんが公開しているHonyaku-Multi-Translator-Swallow-ms7bのggufフォーマット変換版です。
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mmnga/aixsatoshi-Honyaku-7b-v2-gguf
mmnga/aixsatoshi-Honyaku-Multi-Translator-Swallow-ms7b-gguf
mmnga/aixsatoshi-Swallow-MX-8x7b-NVE-chatvector-Mixtral-instruct-v2-gguf
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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
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# Model Card for Model ID
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text-to-image | diffusers | ### WHITE-CATS Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/wp3cuj1 | null | [
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lmind_nq_train6000_eval6489_v1_qa_meta-llama_Llama-2-7b-hf_lora2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf... | {"tags": ["generated_from_trainer"], "datasets": ["tyzhu/lmind_nq_train6000_eval6489_v1_qa"], "metrics": ["accuracy"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "lmind_nq_train6000_eval6489_v1_qa_meta-llama_Llama-2-7b-hf_lora2", "results": [{"task": {"type": "text-generation", "name": "Causal L... | tyzhu/lmind_nq_train6000_eval6489_v1_qa_meta-llama_Llama-2-7b-hf_lora2 | null | [
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| lmind\_nq\_train6000\_eval6489\_v1\_qa\_meta-llama\_Llama-2-7b-hf\_lora2
========================================================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the tyzhu/lmind\_nq\_train6000\_eval6489\_v1\_qa dataset.
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw5.5 | null | [
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
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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. -->
# cou_proj
This model is a fine-tuned version of [saikrishnaavula/cou_proj](https://huggingface.co/saikrishnaavula/cou_proj) on an... | {"tags": ["generated_from_trainer"], "base_model": "saikrishnaavula/cou_proj", "model-index": [{"name": "cou_proj", "results": []}]} | saikrishnaavula/cou_proj | null | [
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] | null | 2024-03-31T12:44:23+00:00 | [] | [] | TAGS
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| cou\_proj
=========
This model is a fine-tuned version of saikrishnaavula/cou\_proj on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0395
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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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-finetuned-guided-meditations-tutorial-2
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](h... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-guided-meditations-tutorial-2", "results": []}]} | bildiginessek/mistral-finetuned-guided-meditations-tutorial-2 | null | [
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|
# mistral-finetuned-guided-meditations-tutorial-2
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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text-generation | transformers |
### Mini-Jamba-v2
[**Experimental Version**] We initialized the model according to [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1), but with much smaller parameters. It was then trained using about 1B of python code, and has the simplest python code generation capabilities.
### Usage
Here give some examples of ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["jamba", "mamba", "moe"]} | TechxGenus/Mini-Jamba-v2 | null | [
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|
### Mini-Jamba-v2
[Experimental Version] We initialized the model according to Jamba, but with much smaller parameters. It was then trained using about 1B of python code, and has the simplest python code generation capabilities.
### Usage
Here give some examples of how to use our model:
### Note
Model may somet... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | SparkleDark/SnowPark | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
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text-generation | transformers | # [MaziyarPanahi/PasticheNeuralsirkrishna-7B-GGUF](https://huggingface.co/MaziyarPanahi/PasticheNeuralsirkrishna-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/PasticheNeuralsirkrishna-7B](https://huggingface.co/automerger/PasticheNeuralsirkrishna-7B)
## Descrip... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Kukedlc/NeuralSirKrishna-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-gener... | MaziyarPanahi/PasticheNeuralsirkrishna-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/PasticheNeuralsirkrishna-7B
## Description
MaziyarPanahi/PasticheNeuralsirkrishna-7B-GGUF contains GGUF format model files for automerger/PasticheNeuralsirkrishna-7B.
## How to use
Thanks to TheBloke for preparin... | [
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null | diffusers |
This is the garment encoder for text2img task with garment, refer to [StableGarment](https://github.com/logn-2024/StableGarment) for detail.
| {"license": "cc-by-nc-sa-4.0"} | loooooong/StableGarment_text2img | null | [
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|
This is the garment encoder for text2img task with garment, refer to StableGarment for detail.
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sentence-similarity | sentence-transformers |
# dbourget/philai-tsdae-6e-fp16
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | dbourget/philai-tsdae-6e-fp16 | null | [
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|
# dbourget/philai-tsdae-6e-fp16
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:... | [
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text-generation | transformers |
# 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": []} | lgodwangl/new_04m | 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]:
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null | transformers | ## About
static quants of https://huggingface.co/MayaPH/GodziLLa-30B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GodziLLa-30B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "mix", "cot"], "base_model": "MayaPH/GodziLLa-30B", "quantized_by": "mradermacher"} | mradermacher/GodziLLa-30B-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_80
This model is a fine-tuned version of [joelniklaus/legal... | {"license": "cc", "tags": ["generated_from_trainer"], "base_model": "joelniklaus/legal-swiss-roberta-large", "model-index": [{"name": "fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_80", "results": []}]} | mhmmterts/fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_80 | null | [
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|
# fine_tuned_model_on_SJP_dataset_all_balanced_chunked_510_tokens_seed_80
This model is a fine-tuned version of joelniklaus/legal-swiss-roberta-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More in... | [
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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": []} | simonamdev/openai-whisper-large-v3-PeftType.LORA | 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... | shinseungback/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T12:53:12+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-to-image | diffusers | ### My-Pet-cat Dreambooth model trained by vinay-pepakayala following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22116073
Sample pictures of this concept:
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | vinay-pepakayala/my-pet-cat | null | [
"diffusers",
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"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-03-31T12:55:30+00:00 | [] | [] | TAGS
#diffusers #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### My-Pet-cat Dreambooth model trained by vinay-pepakayala following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22116073
Sample pictures of this concept:
!0
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-large-cnn-ext15
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-large-cnn-ext15", "results": []}]} | czartur/bart-large-cnn-ext15 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T12:55:52+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart-large-cnn-ext15
====================
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9309
* Rouge1: 28.3399
* Rouge2: 9.8878
* Rougel: 20.3979
* Rougelsum: 21.9156
Model description
-----------------
More ... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | HanliChu/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T12:56:29+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | transformers |
# ANIMA-biodesign-7B-slerp
ANIMA-biodesign-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MaziyarPanahi/ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp](https://huggingface.co/MaziyarPanahi/ANIMA-P... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp", "Severian/ANIMA-Neural-Hermes"], "base_model": ["MaziyarPanahi/ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp", "Severian/ANIMA-Neural-Hermes"]} | allknowingroger/ANIMA-biodesign-7B-slerp | null | [
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"text-generation",
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"conversational",
"base_model:MaziyarPanahi/ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instr... | null | 2024-03-31T12:57:08+00:00 | [] | [] | TAGS
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# ANIMA-biodesign-7B-slerp
ANIMA-biodesign-7B-slerp is a merge of the following models using LazyMergekit:
* MaziyarPanahi/ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp
* Severian/ANIMA-Neural-Hermes
## Configuration
## Usage
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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. -->
# emotiscan_model_2
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "emotiscan_model_2", "results": []}]} | Mofe/emotiscan_model_2 | null | [
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"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
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"has_space",
"region:us"
] | null | 2024-03-31T13:01:39+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| emotiscan\_model\_2
===================
This model is a fine-tuned version of google-bert/bert-large-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5213
* Accuracy: 0.8184
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/m_230 | null | [
"transformers",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-03-31T13:02:29+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
static quants of https://huggingface.co/allknowingroger/NexusMistral2-7B-slerp
<!-- provided-files -->
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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Nexusflow/Starling-LM-7B-beta", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": "allknowingroger/NexusMistral2-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/NexusMistral2-7B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-03-31T13:05:12+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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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. -->
# t5-xl-v2
This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown datas... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-xl", "model-index": [{"name": "t5-xl-v2", "results": []}]} | ShokSmile/t5-xl-v2 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:google/flan-t5-xl",
"license:apache-2.0",
"region:us"
] | null | 2024-03-31T13:05:58+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-google/flan-t5-xl #license-apache-2.0 #region-us
| t5-xl-v2
========
This model is a fine-tuned version of google/flan-t5-xl on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8350
* Rouge1: 29.9535
* Rouge2: 11.4157
* Rougel: 21.3830
* Rougelsum: 21.3793
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 32\n* seed: 7\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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 an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | ItsMayur/t5-small-finetuned-xsum | null | [
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| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
---------------------... | [
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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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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. -->
# RoBERTa-GPT2_EmpAI_FineTuned
This model is a fine-tuned version of [LuangMV97/RoBERTa-GPT2_EmpAI](https://huggingface.co/LuangMV... | {"tags": ["generated_from_trainer"], "base_model": "LuangMV97/RoBERTa-GPT2_EmpAI", "model-index": [{"name": "RoBERTa-GPT2_EmpAI_FineTuned", "results": []}]} | LuangMV97/RoBERTa-GPT2_EmpAI_FineTuned | null | [
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| RoBERTa-GPT2\_EmpAI\_FineTuned
==============================
This model is a fine-tuned version of LuangMV97/RoBERTa-GPT2\_EmpAI on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3986
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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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. -->
# whisper-medium-LoRA_nosie_aug
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whispe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-LoRA_nosie_aug", "results": []}]} | adityarra07/whisper-med-LoRA_nosie_128_64_3k | null | [
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"license:apache-2.0",
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#generated_from_trainer #base_model-openai/whisper-medium #license-apache-2.0 #region-us
| whisper-medium-LoRA\_nosie\_aug
===============================
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7758
* Wer: 37.4880
Model description
-----------------
More information needed
Intended uses & ... | [
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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. -->
# finetune_starcoder2
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) ... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "finetune_starcoder2", "results": []}]} | shivammishra0025/cpp_finetuned_starcoder | null | [
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|
# finetune_starcoder2
This model is a fine-tuned version of bigcode/starcoder2-3b 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 | 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": []} | DBangshu/gemma_ensemble | null | [
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null | transformers |
## Model Usage
refer to https://github.com/X-PLUG/mPLUG-DocOwl/tree/main/DocOwl1.5 | {"language": ["en"], "license": "apache-2.0", "tags": ["OCR-free Doc Understanding", "Detailed Explanation", "Struct-aware Parsing", "Text Grounding"]} | mPLUG/DocOwl1.5-Omni | null | [
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text-generation | transformers | # [MaziyarPanahi/T3qm7xpT3q-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qm7xpT3q-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qm7xpT3q-7B](https://huggingface.co/automerger/T3qm7xpT3q-7B)
## Description
[MaziyarPanahi/T3qm7xpT3q-7B-GGUF](https://huggingf... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:nlpguy/T3QM7XP", "base_model:chihoonlee10/T3Q-Mistral-Orca-Math-DPO", "license:apache-2.0", "autotrain_compatib... | MaziyarPanahi/T3qm7xpT3q-7B-GGUF | null | [
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#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-nlpguy/T3QM7XP #base_model-chihoonlee10/T3Q-Mistral-Orca-Math-DPO #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-genera... | # MaziyarPanahi/T3qm7xpT3q-7B-GGUF
- Model creator: automerger
- Original model: automerger/T3qm7xpT3q-7B
## Description
MaziyarPanahi/T3qm7xpT3q-7B-GGUF contains GGUF format model files for automerger/T3qm7xpT3q-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### Abou... | [
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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. -->
# distilbert-base-uncased-finetuned-squad
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": "distilbert-base-uncased-finetuned-squad", "results": []}]} | edw144/distilbert-base-uncased-finetuned-squad | null | [
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|
# distilbert-base-uncased-finetuned-squad
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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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32Inex12-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32Inex12-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32Inex12-7B](https://huggingface.co/automerger/Strangemerges_32Inex12-7B)
## Description
[Ma... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Gille/StrangeMerges_32-7B-slerp", "base_model:MSL7/INEX12-7b", "license:apache-2.0", "autotrain_compatible", "e... | MaziyarPanahi/Strangemerges_32Inex12-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Strangemerges_32Inex12-7B
## Description
MaziyarPanahi/Strangemerges_32Inex12-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Inex12-7B.
## How to use
Thanks to TheBloke for preparing an ama... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-xls-r-300m-tr-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/f... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-large-xls-r-300m-tr-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogn... | odelz/wav2vec2-large-xls-r-300m-tr-colab | null | [
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| wav2vec2-large-xls-r-300m-tr-colab
==================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5288
* Wer: 0.3953
Model description
-----------------
More information... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers |
## What is v2.1a WET?
v2.1 is a more coherent, working version of the original Moistral v2. v2.1a is a subvariant of v2.1 where I describe it as still "WET".
# Moistral 11B v2.1a 💦💦
*The moistest AI just got moistier!*
*An eRP model capable of blasting you with a rich and refreshing vocabulary of moist. Finetun... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | TheDrummer/Moistral-11B-v2.1a-WET | null | [
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"region:us"
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#transformers #pytorch #llama #text-generation #not-for-all-audiences #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## What is v2.1a WET?
v2.1 is a more coherent, working version of the original Moistral v2. v2.1a is a subvariant of v2.1 where I describe it as still "WET".
# Moistral 11B v2.1a
*The moistest AI just got moistier!*
*An eRP model capable of blasting you with a rich and refreshing vocabulary of moist. Finetuned b... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **HalfCheetah-v4**
This is a trained model of a **PPO** agent playing **HalfCheetah-v4**
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": ["HalfCheetah-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "HalfCheetah-v4", "type": "HalfCh... | AlinaKozyreva/HalfCheetah-v4 | null | [
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#stable-baselines3 #HalfCheetah-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing HalfCheetah-v4
This is a trained model of a PPO agent playing HalfCheetah-v4
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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": []} | prash1721/GPT2ModelDemo | null | [
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"1910.09700"
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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": []} | OwOOwO/dumbo7 | null | [
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# Model Card for Model ID
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image-segmentation | 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-breastcancer
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["as-cle-bert/breastcancer-semantic-segmentation"], "base_model": "nvidia/segformer-b0-finetuned-ade-512-512", "pipeline_tag": "image-segmentation", "model-index": [{"name": "segformer-breastcancer", "results": []}]} | as-cle-bert/segformer-breastcancer | null | [
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"base_model:nvidia/segformer-b0-finetuned-ade-512-512",
"license:other",
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] | null | 2024-03-31T13:40:04+00:00 | [] | [] | TAGS
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| segformer-breastcancer
======================
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1986
* Mean Iou: 0.4951
* Mean Accuracy: 0.5647
* Overall Accuracy: 0.5716
* Per Category Iou: [0.41... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-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* num\\_epochs: 50",
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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": []} | DBangshu/gemma_base | null | [
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"endpoints_compatible",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
## What is v2.1b SOGGY?
v2.1 is a more coherent, working version of the original Moistral v2. v2.1b is a subvariant of v2.1 where I describe it as "SOGGY". It's got the moist but not as juicy.
# Moistral 11B v2.1b 💦💦
*The moistest AI just got moistier!*
*An eRP model capable of blasting you with a rich and refr... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | TheDrummer/Moistral-11B-v2.1b-SOGGY | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-03-31T13:41:49+00:00 | [] | [] | TAGS
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|
## What is v2.1b SOGGY?
v2.1 is a more coherent, working version of the original Moistral v2. v2.1b is a subvariant of v2.1 where I describe it as "SOGGY". It's got the moist but not as juicy.
# Moistral 11B v2.1b
*The moistest AI just got moistier!*
*An eRP model capable of blasting you with a rich and refreshi... | [
"## What is v2.1b SOGGY?\n\nv2.1 is a more coherent, working version of the original Moistral v2. v2.1b is a subvariant of v2.1 where I describe it as \"SOGGY\". It's got the moist but not as juicy.",
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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": []} | guptasaurabh78/codegen-350M-sg2 | null | [
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#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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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-roberta-all-imdb
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "finetuning-sentiment-model-roberta-all-imdb", "results": []}]} | AndreiUrsu/finetuning-sentiment-model-roberta-all-imdb | null | [
"transformers",
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"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T13:47:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-roberta-all-imdb
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2247
- Accuracy: 0.9588
- F1: 0.9591
## Model description
More information needed
## Intended uses & limitations
More informa... | [
"# finetuning-sentiment-model-roberta-all-imdb\n\nThis model is a fine-tuned version of roberta-base on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.2247\n- Accuracy: 0.9588\n- F1: 0.9591",
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"## Intended uses & limitat... | [
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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. -->
# deberta-v3-base-Whatsapp-ner
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-Whatsapp-ner", "results": []}]} | Venkatesh4342/deberta-v3-base-Whatsapp-ner | null | [
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"region:us"
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| deberta-v3-base-Whatsapp-ner
============================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0559
* Precision: 0.95
* Recall: 0.9661
* F1: 0.9580
* Accuracy: 0.9856
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6",
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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. -->
# enbnsumm-mT5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown datas... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "enbnsumm-mT5", "results": []}]} | balaramas/enbnsumm-mT5 | null | [
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|
# enbnsumm-mT5
This model is a fine-tuned version of google/mt5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
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text-generation | transformers |
# Jamba-Hercules
<img src="https://cdn-uploads.huggingface.co/production/uploads/64740cf7485a7c8e1bd51ac9/tIpjF0sb9Bqo4TiZ9Z5Up.webp" width="500" height="500">
## Datset used: Locutusque/hercules-v4.0
*- First 10k Examples*
---
## Example Output:
```
<|startoftext|><|im_start|>system
You are a helpful AI assista... | {"license": "apache-2.0", "tags": ["jamba"], "datasets": ["Locutusque/hercules-v4.0"], "base_model": "ai21labs/Jamba-v0.1", "pipeline_tag": "text-generation"} | Severian/Jamba-Hercules | null | [
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|
# Jamba-Hercules
<img src="URL width="500" height="500">
## Datset used: Locutusque/hercules-v4.0
*- First 10k Examples*
---
## Example Output:
# Inference
*※ - This code automatically appends the "<|startoftext|>" special token to any input. Appending this to all inputs is required for inference, as initial t... | [
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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": []} | OpOp1/TI-GPT-2B | null | [
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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. -->
# shawgpt-ft
This model is a fine-tuned version of [MBZUAI/LaMini-GPT-774M](https://huggingface.co/MBZUAI/LaMini-GPT-774M) on an u... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "MBZUAI/LaMini-GPT-774M", "model-index": [{"name": "shawgpt-ft", "results": []}]} | OpOp1/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of MBZUAI/LaMini-GPT-774M on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4635
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informati... | [
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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": []} | cilantro9246/0zsqc5i | 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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo8 | null | [
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
null | null |
finomhangolás folyamatban (steps: 868/1000, ami kb 3 epoch)
magyar nyelvű instrukciókövető modell, lora finomhangolva a szurkemarha korpuszon (több magyar korpusz egyesítése)
használt repo: https://github.com/OpenMOSE/RWKV5-LM-LoRA
inferencehez én ezt használom: https://github.com/RWKV/rwkv.cpp
finomhangolási opci... | {"language": ["hu"], "license": "apache-2.0", "datasets": ["boapps/szurkemarha"]} | boapps/szurkemarha-rwkv5-3B | null | [
"hu",
"dataset:boapps/szurkemarha",
"license:apache-2.0",
"region:us"
] | null | 2024-03-31T14:01:36+00:00 | [] | [
"hu"
] | TAGS
#hu #dataset-boapps/szurkemarha #license-apache-2.0 #region-us
|
finomhangolás folyamatban (steps: 868/1000, ami kb 3 epoch)
magyar nyelvű instrukciókövető modell, lora finomhangolva a szurkemarha korpuszon (több magyar korpusz egyesítése)
használt repo: URL
inferencehez én ezt használom: URL
finomhangolási opciók (gyakorlatilag a default):
{'load_model': 'model/URL', 'wandb':... | [] | [
"TAGS\n#hu #dataset-boapps/szurkemarha #license-apache-2.0 #region-us \n"
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text-generation | transformers |
# Uploaded model
- **Developed by:** jiayihao03
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | jiayihao03/mistral-7b-instruct-Javascript-4bit | null | [
"transformers",
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"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
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|
# Uploaded model
- Developed by: jiayihao03
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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"# Uploaded model\n\n- Developed by: jiayihao03\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - DiogoF/Codenames-10000-Text-Encoding-V1
This is a dreambooth model derived from CompVis/stable-diffusion-v... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "the <codenames> style"} | DiogoF/Codenames-10000-Text-Encoding-V1 | null | [
"diffusers",
"tensorboard",
"safetensors",
"text-to-image",
"dreambooth",
"diffusers-training",
"stable-diffusion",
"stable-diffusion-diffusers",
"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:... | null | 2024-03-31T14:08:02+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# DreamBooth - DiogoF/Codenames-10000-Text-Encoding-V1
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on the <codenames> style using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
## Intended u... | [
"# DreamBooth - DiogoF/Codenames-10000-Text-Encoding-V1\n\nThis is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on the <codenames> style using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: True.",
"##... | [
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text-generation | transformers |
# Model Card for Model ID
The OpenDeid AICUP Suite is a collection of models developed to facilitate deidentification and temporal normalization research (see paper). It contains sets of eight models of sizes 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B based on the [Pythia Scaling Suite](https://huggingface.co/col... | {"library_name": "transformers", "tags": []} | ISLabResearch/opendeid-1.4b-ft-full | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T14:09:51+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card for Model ID
=======================
The OpenDeid AICUP Suite is a collection of models developed to facilitate deidentification and temporal normalization research (see paper). It contains sets of eight models of sizes 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B based on the Pythia Scaling Suite. For t... | [
"### Model Description\n\n\nThis model is trained on the full OpenDeid-AICUP corpus released in the ACIUP 2023 competition.\n\n\n* Developed by: ISLab\n* Model type: Transformer-based Language Model\n* Language: English\n* License: Apache 2.0\n* Finetuned from model: EleutherAI/pythia-1.4b",
"### Model Sources\n\... | [
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"### Model Description\n\n\nThis model is trained on the full OpenDeid-AICUP corpus released in the ACIUP 2023 competition.\n\n\n* Developed by: ISLab\n* Model type: ... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711894238743x334166866891577800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["squaadinc/woman"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711894238743x334166866891577800 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:squaadinc/woman",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-03-31T14:10:50+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-squaadinc/woman #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711894238743x334166866891577800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1711894238743x334166866891577800\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-squaadinc/woman #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1711894238743x334166866891577800\nThese are LoRA adaption weights for stabilityai/stable-diffusion... | [
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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-squaadinc/woman #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n# LoRA DreamBooth - squaadinc/1711894238743x334166866891577800\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-ba... |
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