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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": []} | pvduy/stablelm-2-chat-vllm | 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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- License... | [
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text-generation | transformers |
# Experiment28M7_Strangemerges_32Inex12
Experiment28M7_Strangemerges_32Inex12 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Strangemerges_32Inex12-7B](https://huggingface.co/automerger/Strangemerges_32Inex12-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Strangemerges_32Inex12", "base_model": ["automerger/Experiment28M7-7B", "automerger/Strangemerges_32Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/Experiment28M7_Strangemerges_32Inex12 | null | [
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|
# Experiment28M7_Strangemerges_32Inex12
Experiment28M7_Strangemerges_32Inex12 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Strangemerges_32Inex12-7B
## Usage
| [
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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": []} | OwOpeepeepoopoo/hellafun1 | 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:
- Language(s) (NLP):
- License... | [
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fill-mask | transformers |
deeqBERT-base
---
- model: bert-base
- vocab: bert-wordpiece, 35k
- version: latest
| {"language": "ko", "datasets": ["kowiki", "news"]} | markwatney/AIHub | null | [
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deeqBERT-base
---
- model: bert-base
- vocab: bert-wordpiece, 35k
- version: latest
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/budecosystem/genz-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/genz-70b-i1-GGUF
##... | {"language": ["en"], "library_name": "transformers", "base_model": "budecosystem/genz-70b", "quantized_by": "mradermacher"} | mradermacher/genz-70b-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-budecosystem/genz-70b #endpoints_compatible #region-us
| 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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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. -->
# xlm-roberta-base-finetuned-panx-de-adalberti
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-adalberti", "results": []}]} | adalberti/xlm-roberta-base-finetuned-panx-de-adalberti | null | [
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| xlm-roberta-base-finetuned-panx-de-adalberti
============================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-classification | transformers | # RussScholar-Seeker Model Card
**RussScholar-Seeker** is a robust NLP tool designed to identify Russian scholars within academic publications effectively.
## Model Details
**Developed by:** Gao Tianci
**Model type:** `BertForSequenceClassification`
**Languages:** Primarily English (for processing)
## Overvi... | {"license": "apache-2.0", "pipeline_tag": "text-classification"} | Gao-Tianci/RussScholar-Seeker | null | [
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"bert",
"text-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #bert #text-classification #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # RussScholar-Seeker Model Card
RussScholar-Seeker is a robust NLP tool designed to identify Russian scholars within academic publications effectively.
## Model Details
Developed by: Gao Tianci
Model type: 'BertForSequenceClassification'
Languages: Primarily English (for processing)
## Overview
RussScholar-... | [
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text-generation | transformers |
<div align="center"><img src="https://raw.githubusercontent.com/BudEcosystem/boomer/main/assets/boomer-logo.png" width=200></div>
<p align="center"><i>Democratizing access to LLMs for the open-source community.<br>Let's advance AI, together. </i></p>
----
## Introduction 🎉
We are thrilled to announce the open-so... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["budecosystem/intellecta"]} | budecosystem/boomer-634m | null | [
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#transformers #safetensors #llama #text-generation #en #dataset-budecosystem/intellecta #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| *Democratizing access to LLMs for the open-source community.
Let's advance AI, together.*
---
Introduction
------------
We are thrilled to announce the open-sourcing of our boomer-634m model, an important milestone in our ongoing AI research. This model, with 634 million para... | [
"### Final thought on Boomer!\n\n\nEmbarking on the journey with boomer-634m is just the beginning. We are committed to developing more advanced, efficient, and accessible AI models. Join us in this exciting adventure to shape the future of AI.",
"### Aknowledgements\n\n\nOur heartfelt thanks go to the open-sourc... | [
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translation | 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. -->
# marian-finetuned-kde4-ja-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-jap-en](https://huggingface.co/Helsin... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-jap-en", "model-index": [{"name": "marian-finetuned-kde4-ja-to-en", "results": []}]} | smilemikan/marian-finetuned-kde4-ja-to-en | null | [
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"marian",
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"base_model:Helsinki-NLP/opus-mt-jap-en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T11:58:06+00:00 | [] | [] | TAGS
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|
# marian-finetuned-kde4-ja-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-jap-en on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5547
- Bleu: 4.3133
## Model description
More information needed
## Intended uses & limitations
More information needed
##... | [
"# marian-finetuned-kde4-ja-to-en\n\nThis model is a fine-tuned version of Helsinki-NLP/opus-mt-jap-en on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 3.5547\n- Bleu: 4.3133",
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"## Intended uses & limitations\n\nMore inf... | [
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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. -->
# hanzi_huayu_translate
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/fa... | {"tags": ["generated_from_trainer"], "base_model": "facebook/mbart-large-50-many-to-many-mmt", "model-index": [{"name": "hanzi_huayu_translate", "results": []}]} | linshoufan/hanzi_huayu_translate | null | [
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"base_model:facebook/mbart-large-50-many-to-many-mmt",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T11:59:04+00:00 | [] | [] | TAGS
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|
# hanzi_huayu_translate
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_optm_idpo_noreplacerej_decalpha_iter_2
This model is a fine-tuned version of [ZhangShenao/0.00045_idpo_noreplacerej_decal... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.00045_idpo_noreplacerej_decalpha_iter_2", "model-index": [{"name": "0.0001_optm_idpo_noreplacerej_decalpha_iter_2", "results": []}]} | ZhangShenao/0.0001_optm_idpo_noreplacerej_decalpha_iter_2 | null | [
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"... | null | 2024-04-09T11:59:15+00:00 | [] | [] | TAGS
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# 0.0001_optm_idpo_noreplacerej_decalpha_iter_2
This model is a fine-tuned version of ZhangShenao/0.00045_idpo_noreplacerej_decalpha_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation da... | [
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translation | 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. -->
# arabic-dialect-banking-bert
This model is a fine-tuned version of [PRAli22/arat5-arabic-dialects-translation](https://huggingfac... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "PRAli22/arat5-arabic-dialects-translation", "model-index": [{"name": "arabic-dialect-banking-bert", "results": []}]} | bassemessam/arabic-dialect-banking-bert | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"translation",
"generated_from_trainer",
"base_model:PRAli22/arat5-arabic-dialects-translation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T11:59:58+00:00 | [] | [] | TAGS
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|
# arabic-dialect-banking-bert
This model is a fine-tuned version of PRAli22/arat5-arabic-dialects-translation on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6379
- Bleu: 24.2943
## Model description
More information needed
## Intended uses & limitations
More informatio... | [
"# arabic-dialect-banking-bert\n\nThis model is a fine-tuned version of PRAli22/arat5-arabic-dialects-translation on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.6379\n- Bleu: 24.2943",
"## Model description\n\nMore information needed",
"## Intended uses & limitations... | [
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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 [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | Sahil07/shawgpt-ft | null | [
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"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6063
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text2text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [lmsys/fastchat-t5-3b-v1.0](https://huggingface.co/lmsys/fastchat-t5-3b-v1.0)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have the `t... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | Aaryan-Nakhat/experiment-30-prompt-5-guardrails-finetuning-itr-4-sub-prompt-2 | null | [
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"region:us"
] | null | 2024-04-09T12:02:07+00:00 | [] | [
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#transformers #safetensors #t5 #text2text-generation #gpt #llm #large language model #h2o-llmstudio #en #autotrain_compatible #text-generation-inference #region-us
| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: lmsys/fastchat-t5-3b-v1.0
## Usage
To use the model with the 'transformers' library on a machine with GPUs, first make sure you have the 'transformers', 'accelerate' and 'torch' libraries installed.
For inference, you can use the ... | [
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text-generation | transformers |
# YamshadowInex12_ShadowYam
YamshadowInex12_ShadowYam is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B)
## 💻 Usage
```python
!pip install -qU transformers accelera... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_ShadowYam", "base_model": ["automerger/YamshadowInex12-7B", "automerger/ShadowYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "Maziya... | MaziyarPanahi/YamshadowInex12_ShadowYam | null | [
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"base_model:automerger/ShadowYam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:02:07+00:00 | [] | [] | TAGS
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|
# YamshadowInex12_ShadowYam
YamshadowInex12_ShadowYam is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/ShadowYam-7B
## Usage
| [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/cognitivecomputations/based-30b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/based-30b... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["ehartford/based"], "base_model": "cognitivecomputations/based-30b", "quantized_by": "mradermacher"} | mradermacher/based-30b-GGUF | null | [
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"en",
"dataset:ehartford/based",
"base_model:cognitivecomputations/based-30b",
"license:apache-2.0",
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"en"
] | TAGS
#transformers #gguf #en #dataset-ehartford/based #base_model-cognitivecomputations/based-30b #license-apache-2.0 #endpoints_compatible #region-us
| 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 |
# MeliodasPercival_01_Experiment29Multi_verse_model
MeliodasPercival_01_Experiment29Multi_verse_model is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment29Multi_verse_model-7B](https://huggingface.co/automerger/Ex... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment29Multi_verse_model", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment29Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_... | MaziyarPanahi/MeliodasPercival_01_Experiment29Multi_verse_model | null | [
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"safetensors",
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"text-generation",
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"text-generation-inference",
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"base_model:automerger/Experiment29Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:04:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment29Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment29Multi_verse_model
MeliodasPercival_01_Experiment29Multi_verse_model is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment29Multi_verse_model-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment26Experiment24
NeuralsirkrishnaShadow_Experiment26Experiment24 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment26Experiment24-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment26Experiment24", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment26Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment26Experiment24 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Experiment26Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:04:42+00:00 | [] | [] | TAGS
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|
# NeuralsirkrishnaShadow_Experiment26Experiment24
NeuralsirkrishnaShadow_Experiment26Experiment24 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment26Experiment24-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# YamshadowStrangemerges_32_YamNeuralsirkrishna
YamshadowStrangemerges_32_YamNeuralsirkrishna is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/YamNeuralsirkrishna-7B](https://huggingface.co/automerger/YamNeura... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_YamNeuralsirkrishna", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/YamNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/YamshadowStrangemerges_32_YamNeuralsirkrishna | null | [
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"safetensors",
"mistral",
"text-generation",
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"base_model:automerger/YamNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:05:22+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/YamNeuralsirkrishna-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_YamNeuralsirkrishna
YamshadowStrangemerges_32_YamNeuralsirkrishna is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/YamNeuralsirkrishna-7B
## Usage
| [
"# YamshadowStrangemerges_32_YamNeuralsirkrishna\n\nYamshadowStrangemerges_32_YamNeuralsirkrishna is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/YamNeuralsirkrishna-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/YamNeuralsirkrishna-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
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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": []} | JohnnyBoi/Mistral-UFT-1EP-3PA-5e-05LR-all | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T12:05:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment24Experiment26
M7Yamshadowexperiment28_Experiment24Experiment26 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment24Experiment26-7B](https://huggingface.co/automerger/E... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment24Experiment26", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment24Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment24Experiment26 | null | [
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|
# M7Yamshadowexperiment28_Experiment24Experiment26
M7Yamshadowexperiment28_Experiment24Experiment26 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment24Experiment26-7B
## Usage
| [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ"} | AshotNersisyan/Mistral_gptq_lora-noresponse.v.0.2 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/grimulkan/Euryale-1.3-longLORA-70b-rope8-32k-fp16
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mrad... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "grimulkan/Euryale-1.3-longLORA-70b-rope8-32k-fp16", "quantized_by": "mradermacher"} | mradermacher/Euryale-1.3-longLORA-70b-rope8-32k-fp16-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 |
# Experiment28M7_AlloyingotneoyExperiment28
Experiment28M7_AlloyingotneoyExperiment28 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/AlloyingotneoyExperiment28-7B](https://huggingface.co/automerger/AlloyingotneoyExperiment28-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_AlloyingotneoyExperiment28", "base_model": ["automerger/Experiment28M7-7B", "automerger/AlloyingotneoyExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/Experiment28M7_AlloyingotneoyExperiment28 | null | [
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"license:apache-2.0",
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"region:us"
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|
# Experiment28M7_AlloyingotneoyExperiment28
Experiment28M7_AlloyingotneoyExperiment28 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/AlloyingotneoyExperiment28-7B
## Usage
| [
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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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | Wendao-123/xlm-roberta-base-finetuned-panx-de-fr | null | [
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] | null | 2024-04-09T12:09:38+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
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null | transformers |
# Uploaded model
- **Developed by:** sharfer
- **License:** apache-2.0
- **Finetuned from model :** unsloth/OpenHermes-2.5-Mistral-7B-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/OpenHermes-2.5-Mistral-7B-bnb-4bit"} | sharfer/OpenHermes_Alpaca_FineTune_GGUF | null | [
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|
# Uploaded model
- Developed by: sharfer
- License: apache-2.0
- Finetuned from model : unsloth/OpenHermes-2.5-Mistral-7B-bnb-4bit
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<img src="URL width="200"/>
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/gemma-1.1-7b-it-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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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... | bhavishya02/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T12:10:52+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speecht5_female2
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) o... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_female2", "results": []}]} | guilhermebastos96/speecht5_female2 | null | [
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| speecht5\_female2
=================
This model is a fine-tuned version of microsoft/speecht5\_tts on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3345
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50-finetuned-boat-dataset
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/fac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["boat_dataset"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50-finetuned-boat-dataset", "results": []}]} | zhuchi76/detr-resnet-50-finetuned-boat-dataset | null | [
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|
# detr-resnet-50-finetuned-boat-dataset
This model is a fine-tuned version of facebook/detr-resnet-50 on the boat_dataset 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/gemma-1.1-2b-it-bnb-4bit-smashed | null | [
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": []} | rumk78864/ytBOT | 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 | 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 [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | rumk78864/shawgpt-ft | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8863
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# YamshadowInex12_ShadowNeuralsirkrishna
YamshadowInex12_ShadowNeuralsirkrishna is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/ShadowNeuralsirkrishna-7B](https://huggingface.co/automerger/ShadowNeuralsirkrishna-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_ShadowNeuralsirkrishna", "base_model": ["automerger/YamshadowInex12-7B", "automerger/ShadowNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/YamshadowInex12_ShadowNeuralsirkrishna | null | [
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"base_model:automerger/ShadowNeuralsirkrishna-7B",
"license:apache-2.0",
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] | null | 2024-04-09T12:23:07+00:00 | [] | [] | TAGS
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|
# YamshadowInex12_ShadowNeuralsirkrishna
YamshadowInex12_ShadowNeuralsirkrishna is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/ShadowNeuralsirkrishna-7B
## Usage
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | SharryOG/mergekit-passthrough-fsvmzyo | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
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text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw4.2 | null | [
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|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
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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. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | Wendao-123/xlm-roberta-base-finetuned-panx-fr | null | [
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"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T12:28:29+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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text-generation | transformers |
# Experiment28M7_NeuralsirkrishnaExperiment28
Experiment28M7_NeuralsirkrishnaExperiment28 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/NeuralsirkrishnaExperiment28-7B](https://huggingface.co/automerger/NeuralsirkrishnaExperimen... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_NeuralsirkrishnaExperiment28", "base_model": ["automerger/Experiment28M7-7B", "automerger/NeuralsirkrishnaExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/Experiment28M7_NeuralsirkrishnaExperiment28 | null | [
"transformers",
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"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/NeuralsirkrishnaExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:29:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/NeuralsirkrishnaExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_NeuralsirkrishnaExperiment28
Experiment28M7_NeuralsirkrishnaExperiment28 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/NeuralsirkrishnaExperiment28-7B
## Usage
| [
"# Experiment28M7_NeuralsirkrishnaExperiment28\n\nExperiment28M7_NeuralsirkrishnaExperiment28 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/NeuralsirkrishnaExperiment28-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/NeuralsirkrishnaExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment28M7_NeuralsirkrishnaExperiment28\n\nExp... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_AlloyingotneoyExperiment28
YamshadowStrangemerges_32_AlloyingotneoyExperiment28 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/AlloyingotneoyExperiment28-7B](https://huggingface.c... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_AlloyingotneoyExperiment28", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/AlloyingotneoyExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/YamshadowStrangemerges_32_AlloyingotneoyExperiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/AlloyingotneoyExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:31:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/AlloyingotneoyExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_AlloyingotneoyExperiment28
YamshadowStrangemerges_32_AlloyingotneoyExperiment28 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/AlloyingotneoyExperiment28-7B
## Usage
| [
"# YamshadowStrangemerges_32_AlloyingotneoyExperiment28\n\nYamshadowStrangemerges_32_AlloyingotneoyExperiment28 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/AlloyingotneoyExperiment28-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/AlloyingotneoyExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowStrangemerges_32_AlloyingotneoyE... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment29Multi_verse_model
M7Yamshadowexperiment28_Experiment29Multi_verse_model is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment29Multi_verse_model-7B](https://huggingface.... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment29Multi_verse_model", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment29Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "p... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment29Multi_verse_model | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment29Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:32:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment29Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment29Multi_verse_model
M7Yamshadowexperiment28_Experiment29Multi_verse_model is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment29Multi_verse_model-7B
## Usage
| [
"# M7Yamshadowexperiment28_Experiment29Multi_verse_model\n\nM7Yamshadowexperiment28_Experiment29Multi_verse_model is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Experiment29Multi_verse_model-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment29Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_Experiment29Mult... | [
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text-generation | transformers |
# MeliodasPercival_01_AlloyingotneoyInex12
MeliodasPercival_01_AlloyingotneoyInex12 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/AlloyingotneoyInex12-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_AlloyingotneoyInex12", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/AlloyingotneoyInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/MeliodasPercival_01_AlloyingotneoyInex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/AlloyingotneoyInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:32:28+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_AlloyingotneoyInex12
MeliodasPercival_01_AlloyingotneoyInex12 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/AlloyingotneoyInex12-7B
## Usage
| [
"# MeliodasPercival_01_AlloyingotneoyInex12\n\nMeliodasPercival_01_AlloyingotneoyInex12 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/AlloyingotneoyInex12-7B",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# MeliodasPercival_01_AlloyingotneoyInex12\n\nMeliodasP... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us \n# MeliodasPercival_01_AlloyingotneoyInex12\n\nMeliodasPerciva... |
text-generation | transformers |
# NeuralsirkrishnaShadow_YamM7
NeuralsirkrishnaShadow_YamM7 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/YamM7-7B](https://huggingface.co/automerger/YamM7-7B)
## 💻 Usage
```python
!pip install -qU transform... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_YamM7", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/YamM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "... | MaziyarPanahi/NeuralsirkrishnaShadow_YamM7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/YamM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:32:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/YamM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_YamM7
NeuralsirkrishnaShadow_YamM7 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/YamM7-7B
## Usage
| [
"# NeuralsirkrishnaShadow_YamM7\n\nNeuralsirkrishnaShadow_YamM7 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/YamM7-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/YamM7-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# NeuralsirkrishnaShadow_YamM7\n\nNeuralsirkrishnaShadow_YamM7 is a... | [
76,
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/YamM7-7B #license-apache-2.0 #autotrain_compatible #region-us \n# NeuralsirkrishnaShadow_YamM7\n\nNeuralsirkrishnaShadow_YamM7 is a merge... |
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": []} | pirxus/ebranchformer_how2_base | null | [
"transformers",
"safetensors",
"wav2vec2-ebranchformer",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T12:33:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #wav2vec2-ebranchformer #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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 on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #wav2vec2-ebranchformer #arxiv-1910.09700 #endpoints_compatible #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 on the Hub. This model card has been automatical... | [
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11,
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"TAGS\n#transformers #safetensors #wav2vec2-ebranchformer #arxiv-1910.09700 #endpoints_compatible #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 on the Hub. This model card has been automatically generated.\n\n-... |
text-generation | transformers |
<p align="center" style="margin:0;padding:0">
<img src="https://huggingface.co/BramVanroy/fietje-2b/resolve/main/img/fietje-2b-banner-rounded.png" alt="Fietje banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
<div style="margin:auto; margin-top: 0; text-align:center">
<h1 ... | {"language": ["nl"], "license": "mit", "tags": ["trl", "fietje", "alignment-handbook"], "datasets": ["uonlp/CulturaX", "wikimedia/wikipedia"], "base_model": "microsoft/phi-2", "pipeline_tag": "text-generation", "inference": false, "model-index": [{"name": "fietje-2b", "results": []}]} | BramVanroy/fietje-2b | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"trl",
"fietje",
"alignment-handbook",
"nl",
"dataset:uonlp/CulturaX",
"dataset:wikimedia/wikipedia",
"base_model:microsoft/phi-2",
"license:mit",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T12:34:05+00:00 | [] | [
"nl"
] | TAGS
#transformers #safetensors #phi #text-generation #trl #fietje #alignment-handbook #nl #dataset-uonlp/CulturaX #dataset-wikimedia/wikipedia #base_model-microsoft/phi-2 #license-mit #autotrain_compatible #has_space #text-generation-inference #region-us
|
Fietje 2B
=========
*An open and efficient LLM for Dutch*
>
>
> [<a href="URL with Fietje here!</strong>](URL GGUF of base</a>
> </p>
> <p align=)
>
>
>
>
Fietje is an adapated version of microsoft/phi-2, tailored to Dutch text generation by training on 28B tokens. It is small and eff... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 9e-05\n* train\\_batch\\_size: 40\n* eval\\_batch\\_size: 40\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 16\n* gradient\\_accumulation\\_steps: 3\n* total\\_train\\_batch\\_size: 19... | [
"TAGS\n#transformers #safetensors #phi #text-generation #trl #fietje #alignment-handbook #nl #dataset-uonlp/CulturaX #dataset-wikimedia/wikipedia #base_model-microsoft/phi-2 #license-mit #autotrain_compatible #has_space #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hy... | [
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"TAGS\n#transformers #safetensors #phi #text-generation #trl #fietje #alignment-handbook #nl #dataset-uonlp/CulturaX #dataset-wikimedia/wikipedia #base_model-microsoft/phi-2 #license-mit #autotrain_compatible #has_space #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperpar... |
text-generation | transformers |
# mlx-community/codegemma-2b-4bit
This model was converted to MLX format from [`google/codegemma-2b`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/google/codegemma-2b) for more details on the model.
## U... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Fac... | mlx-community/codegemma-2b-4bit | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mlx",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T12:34:08+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mlx #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/codegemma-2b-4bit
This model was converted to MLX format from ['google/codegemma-2b']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/codegemma-2b-4bit\nThis model was converted to MLX format from ['google/codegemma-2b']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #mlx #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# mlx-community/codegemma-2b-4bit\nThis model was converted to MLX format from ['google/codegemma-2b']() using mlx-lm version 0.8.0.\n\nModel added ... | [
40,
71,
6
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #mlx #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# mlx-community/codegemma-2b-4bit\nThis model was converted to MLX format from ['google/codegemma-2b']() using mlx-lm version 0.8.0.\n\nModel added by Pri... |
text-generation | transformers |
# mlx-community/codegemma-2b-4bit
This model was converted to MLX format from [`google/codegemma-7b`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/google/codegemma-7b) for more details on the model.
## U... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Fac... | mlx-community/codegemma-7b-4bit | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mlx",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T12:34:32+00:00 | [] | [] | TAGS
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|
# mlx-community/codegemma-2b-4bit
This model was converted to MLX format from ['google/codegemma-7b']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# mlx-community/codegemma-2b-4bit
This model was converted to MLX format from [`google/codegemma-7b-it`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/google/codegemma-7b-it) for more details on the model... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Fac... | mlx-community/codegemma-7b-it-4bit | null | [
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|
# mlx-community/codegemma-2b-4bit
This model was converted to MLX format from ['google/codegemma-7b-it']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | Wendao-123/xlm-roberta-base-finetuned-panx-it | null | [
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| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-combined-checkpoint-2600 | 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]:
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- License... | [
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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": []} | likhithasapu/humour-gen-bloom | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Undi95/BigL-7B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/BigL-7B-GGUF
## Usage
If ... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/BigL-7B", "quantized_by": "mradermacher"} | mradermacher/BigL-7B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | 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-samsum
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"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-samsum", "results": []}]} | aritraroy24/mistral-finetuned-samsum | null | [
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"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
"license:apache-2.0",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #region-us
|
# mistral-finetuned-samsum
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
## Training procedure
### T... | [
"# mistral-finetuned-samsum\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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"##... | [
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"# mistral-finetuned-samsum\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.",
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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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | Wendao-123/xlm-roberta-base-finetuned-panx-en | null | [
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#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# Model Card 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": []} | jwpark33/pruned_qwen_layer_22 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- License... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | geliron/saiga_mistral_7b_medical_qa | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
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- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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- llm_int8_has_fp16_weight: False
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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. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | Wendao-123/xlm-roberta-base-finetuned-panx-all | null | [
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] | null | 2024-04-09T12:41:28+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1758
* F1: 0.8558
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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... | AishwaryaDixit/LunarLander | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T12:41:56+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers |
# 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": []} | betteracs/trocr-th-finetune-receipt-v2 | null | [
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"endpoints_compatible",
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"1910.09700"
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#transformers #tensorboard #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# 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. -->
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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": []} | stemangiola/my-new-shiny-tokenizer | 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. -->
# llama_ice_v4_domar
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama_ice_v4_domar", "results": []}]} | thorirhrafn/llama_ice_v4_domar | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| llama\_ice\_v4\_domar
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6764
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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text-generation | transformers |
# YamshadowInex12_AlloyingotneoyExperiment24
YamshadowInex12_AlloyingotneoyExperiment24 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/AlloyingotneoyExperiment24-7B](https://huggingface.co/automerger/AlloyingotneoyExperiment24-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_AlloyingotneoyExperiment24", "base_model": ["automerger/YamshadowInex12-7B", "automerger/AlloyingotneoyExperiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/YamshadowInex12_AlloyingotneoyExperiment24 | null | [
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"text-generation-inference",
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"base_model:automerger/AlloyingotneoyExperiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:50:39+00:00 | [] | [] | TAGS
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|
# YamshadowInex12_AlloyingotneoyExperiment24
YamshadowInex12_AlloyingotneoyExperiment24 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/AlloyingotneoyExperiment24-7B
## Usage
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jr303/sc-Mistral-v3 | null | [
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|
# Model Card for Model ID
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text-generation | transformers |
# Experiment28M7_Experiment28Strangemerges_32
Experiment28M7_Experiment28Strangemerges_32 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment28Strangemerges_32-7B](https://huggingface.co/automerger/Experiment28Strangemerges... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment28Strangemerges_32", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment28Strangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/Experiment28M7_Experiment28Strangemerges_32 | null | [
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"license:apache-2.0",
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] | null | 2024-04-09T12:52:25+00:00 | [] | [] | TAGS
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|
# Experiment28M7_Experiment28Strangemerges_32
Experiment28M7_Experiment28Strangemerges_32 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment28Strangemerges_32-7B
## Usage
| [
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feature-extraction | transformers | # pet-shop100_9062874564
## Model Description
pet-shop100_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the dataset for ... | {} | florianhoenicke/pet-shop100_9062874564 | null | [
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"safetensors",
"bert",
"feature-extraction",
"custom_code",
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#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # pet-shop100_9062874564
## Model Description
pet-shop100_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
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text-generation | transformers |
# MeliodasPercival_01_Experiment29Experiment24
MeliodasPercival_01_Experiment29Experiment24 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment29Experiment24-7B](https://huggingface.co/automerger/Experiment29Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment29Experiment24", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment29Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/MeliodasPercival_01_Experiment29Experiment24 | null | [
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"base_model:automerger/Experiment29Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:54:56+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment29Experiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment29Experiment24
MeliodasPercival_01_Experiment29Experiment24 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment29Experiment24-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment24Experiment26
NeuralsirkrishnaShadow_Experiment24Experiment26 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment24Experiment26-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment24Experiment26", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment24Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment24Experiment26 | null | [
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"base_model:automerger/Experiment24Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:55:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment24Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Experiment24Experiment26
NeuralsirkrishnaShadow_Experiment24Experiment26 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment24Experiment26-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment24Experiment26\n\nNeuralsirkrishnaShadow_Experiment24Experiment26 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment24Experiment26-7B",
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text-generation | transformers |
# M7Yamshadowexperiment28_AlloyingotneoyInex12
M7Yamshadowexperiment28_AlloyingotneoyInex12 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/Alloyingotneo... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_AlloyingotneoyInex12", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/AlloyingotneoyInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/M7Yamshadowexperiment28_AlloyingotneoyInex12 | null | [
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"base_model:automerger/AlloyingotneoyInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:55:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_AlloyingotneoyInex12
M7Yamshadowexperiment28_AlloyingotneoyInex12 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/AlloyingotneoyInex12-7B
## Usage
| [
"# M7Yamshadowexperiment28_AlloyingotneoyInex12\n\nM7Yamshadowexperiment28_AlloyingotneoyInex12 is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/AlloyingotneoyInex12-7B",
"## Usage"
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text-generation | transformers |
# YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28
YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/NeuralsirkrishnaExperiment28-7B](https://hugging... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/NeuralsirkrishnaExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", ... | MaziyarPanahi/YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28 | null | [
"transformers",
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"mistral",
"text-generation",
"Safetensors",
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"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/NeuralsirkrishnaExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T12:55:10+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/NeuralsirkrishnaExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28
YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/NeuralsirkrishnaExperiment28-7B
## Usage
| [
"# YamshadowStrangemerges_32_NeuralsirkrishnaExperiment28\n\nYamshadowStrangemerges_32_NeuralsirkrishnaExperiment28 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/NeuralsirkrishnaExperiment28-7B",
"## Usage"
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translation | 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 a t5-small model finetuned on pt-en translation.
The model has been finetuned first one epoch in the Opus-100 dataset, ac... | {"language": ["pt", "en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["Helsinki-NLP/opus-100", "Helsinki-NLP/opus_books"], "pipeline_tag": "translation"} | manueldeprada/t5-small-pt-en | null | [
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"dataset:Helsinki-NLP/opus-100",
"dataset:Helsinki-NLP/opus_books",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T12:59:01+00:00 | [] | [
"pt",
"en"
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#transformers #safetensors #t5 #text2text-generation #translation #pt #en #dataset-Helsinki-NLP/opus-100 #dataset-Helsinki-NLP/opus_books #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is a t5-small model finetuned on pt-en translation.
The model has been finetuned first one epoch in the Opus-100 dataset, achieving a 31.45 test BLEU.
Then, the model has completed 5 epochs on opus_books, achieving 28.83 test BLEU.
There... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is a t5-small model finetuned on pt-en translation.\n\nThe model has been finetuned first one epoch in the Opus-100 dataset, achieving a 31.45 test BLEU.\n\nThen, the model has completed 5 epochs on opus_books, achieving 28.83 t... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #translation #pt #en #dataset-Helsinki-NLP/opus-100 #dataset-Helsinki-NLP/opus_books #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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. -->
# distilroberta-base-finetuned-resume2
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-resume2", "results": []}]} | vasu11/distilroberta-base-finetuned-resume2 | null | [
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"roberta",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:02:27+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-distilbert/distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilroberta-base-finetuned-resume2
====================================
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2864
* Accuracy: 0.9306
* Precision (macro): 0.9303
* Recall (macro): 0.9313
* F1 (mac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Train... | [
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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. -->
# mBART-TextSimp-LT-BatchSize2-lr1e-4
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/faceb... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mBART-TextSimp-LT-BatchSize2-lr1e-4", "results": []}]} | eglkan1/mBART-TextSimp-LT-BatchSize2-lr1e-4 | null | [
"transformers",
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"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/mbart-large-50",
"license:mit",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:06:06+00:00 | [] | [] | TAGS
#transformers #pytorch #mbart #text2text-generation #generated_from_trainer #base_model-facebook/mbart-large-50 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| mBART-TextSimp-LT-BatchSize2-lr1e-4
===================================
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0962
* Rouge1: 0.76
* Rouge2: 0.6246
* Rougel: 0.7508
* Sacrebleu: 53.9078
* Gen Len: 32.9976
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# qnixsynapse/codegemma-7b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`google/codegemma-7b-it`](https://huggingface.co/google/codegemma-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"license": "gemma", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re lo... | qnixsynapse/codegemma-7b-it-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:07:00+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #license-gemma #endpoints_compatible #region-us
|
# qnixsynapse/codegemma-7b-it-Q4_K_M-GGUF
This model was converted to GGUF format from 'google/codegemma-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# qnixsynapse/codegemma-7b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'google/codegemma-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #license-gemma #endpoints_compatible #region-us \n# qnixsynapse/codegemma-7b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'google/codegemma-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mo... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-guardrail-toxicity-classifier-training_90k
This model is a fine-tuned version of [FacebookAI/roberta-base](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta-base-guardrail-toxicity-classifier-training_90k", "results": []}]} | tosh97/roberta-base-guardrail-toxicity-classifier-training_90k | null | [
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"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:07:06+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# roberta-base-guardrail-toxicity-classifier-training_90k
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
"# roberta-base-guardrail-toxicity-classifier-training_90k\n\nThis model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informat... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [automerger/YamshadowExperiment28-7B](https:... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["automerger/YamshadowExperiment28-7B", "nlpguy/T3QM7"]} | allknowingroger/mergekit-slerp-zplzqvn | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* automerger/YamshadowExperiment28-7B
* nlpguy/T3QM7
### Configuration
The follow... | [
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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": []} | sadaq19/Mixtral-8x7B-Instruct-v0.1-structured-responses-adapters-v0.2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# babyberta-french-childes-finetuned-fquad-v1
This model was trained from scratch on the None dataset.
## Model description
More... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "babyberta-french-childes-finetuned-fquad-v1", "results": []}]} | lielbin/babyberta-french-childes-finetuned-fquad-v1 | null | [
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|
# babyberta-french-childes-finetuned-fquad-v1
This model was trained from scratch on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/grimulkan/aurelian-v0.5-70b-rope8-32K-fp16
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermache... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "base_model": "grimulkan/aurelian-v0.5-70b-rope8-32K-fp16", "quantized_by": "mradermacher"} | mradermacher/aurelian-v0.5-70b-rope8-32K-fp16-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-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. -->
# multilingual-e5-large-guardrail-toxicity-classifier-training_90k
This model is a fine-tuned version of [intfloat/multilingual-e5... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-toxicity-classifier-training_90k", "results": []}]} | tosh97/multilingual-e5-large-guardrail-toxicity-classifier-training_90k | null | [
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|
# multilingual-e5-large-guardrail-toxicity-classifier-training_90k
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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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 - fixiong/path-to-save-model
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true, "instance_prompt": "a photo of sks dog"} | fixiong/path-to-save-model | null | [
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... | null | 2024-04-09T13:10:14+00:00 | [] | [] | TAGS
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|
# DreamBooth - fixiong/path-to-save-model
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
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text-generation | transformers | quantized_by: tooktang
# Nanbeige2 8B Chat - GGUF
- Model creator: [Nanbeige LLM Lab](https://huggingface.co/Nanbeige)
- Original model: [Nanbeige2 8B Chat](https://huggingface.co/Nanbeige/Nanbeige2-8B-Chat)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Nanbeige2 8B Chat](... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["nanbeige", "gguf"], "pipeline_tag": "text-generation"} | tooktang/Nanbeige2-8B-Chat-GGUF | null | [
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| quantized_by: tooktang
# Nanbeige2 8B Chat - GGUF
- Model creator: Nanbeige LLM Lab
- Original model: Nanbeige2 8B Chat
## Description
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] |
text-generation | transformers |
# YamshadowInex12_NeuralsirkrishnaExperiment26
YamshadowInex12_NeuralsirkrishnaExperiment26 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/NeuralsirkrishnaExperiment26-7B](https://huggingface.co/automerger/NeuralsirkrishnaExper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_NeuralsirkrishnaExperiment26", "base_model": ["automerger/YamshadowInex12-7B", "automerger/NeuralsirkrishnaExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/YamshadowInex12_NeuralsirkrishnaExperiment26 | null | [
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|
# YamshadowInex12_NeuralsirkrishnaExperiment26
YamshadowInex12_NeuralsirkrishnaExperiment26 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/NeuralsirkrishnaExperiment26-7B
## Usage
| [
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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": []} | Stormwine/firstvalue-Mistral-7B-Instruct-v0.2 | 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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- Shared by [optional]:
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRk_ZQ_ZtX-qzFP3qZBBHZNcMD1hh?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20but... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "bnb"]} | unsloth/codegemma-2b-bnb-4bit | null | [
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"text-generation-inference",
"4-bit",
"region:us"
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune... | [] | [
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] |
null | null | # KenLM (arpa) models for Dutch based on SONAR
This repository contains KenLM models (n=5) for Dutch, based on the SONAR corpus - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech, dependency labels, and lemmas, as processed with spaCy `nl_core_news_sm`:
- kenlm_sonar_token.arp... | {"language": ["nl"], "license": "apache-2.0", "tags": ["kenlm"]} | BramVanroy/kenlm_sonar | null | [
"kenlm",
"nl",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T13:17:25+00:00 | [] | [
"nl"
] | TAGS
#kenlm #nl #license-apache-2.0 #region-us
| # KenLM (arpa) models for Dutch based on SONAR
This repository contains KenLM models (n=5) for Dutch, based on the SONAR corpus - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech, dependency labels, and lemmas, as processed with spaCy 'nl_core_news_sm':
- kenlm_sonar_token.arp... | [
"# KenLM (arpa) models for Dutch based on SONAR\n\nThis repository contains KenLM models (n=5) for Dutch, based on the SONAR corpus - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech, dependency labels, and lemmas, as processed with spaCy 'nl_core_news_sm':\n\n- kenlm_sonar_... | [
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text-generation | transformers |
# Experiment28M7_Experiment24Inex12
Experiment28M7_Experiment24Inex12 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment24Inex12-7B](https://huggingface.co/automerger/Experiment24Inex12-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment24Inex12", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment24Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_Experiment24Inex12 | null | [
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"base_model:automerger/Experiment24Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:17:44+00:00 | [] | [] | TAGS
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|
# Experiment28M7_Experiment24Inex12
Experiment28M7_Experiment24Inex12 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment24Inex12-7B
## Usage
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment28Strangemerges_32
YamshadowStrangemerges_32_Experiment28Strangemerges_32 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment28Strangemerges_32-7B](https://hugging... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment28Strangemerges_32", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment28Strangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", ... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment28Strangemerges_32 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:18:12+00:00 | [] | [] | TAGS
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|
# YamshadowStrangemerges_32_Experiment28Strangemerges_32
YamshadowStrangemerges_32_Experiment28Strangemerges_32 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment28Strangemerges_32-7B
## Usage
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text-generation | transformers |
# M7Yamshadowexperiment28_Strangemerges_32Experiment28
M7Yamshadowexperiment28_Strangemerges_32Experiment28 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Strangemerges_32Experiment28-7B](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Strangemerges_32Experiment28", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Strangemerges_32Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/M7Yamshadowexperiment28_Strangemerges_32Experiment28 | null | [
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"base_model:automerger/Strangemerges_32Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:18:14+00:00 | [] | [] | TAGS
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|
# M7Yamshadowexperiment28_Strangemerges_32Experiment28
M7Yamshadowexperiment28_Strangemerges_32Experiment28 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Strangemerges_32Experiment28-7B
## Usage
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRk_ZQ_ZtX-qzFP3qZBBHZNcMD1hh?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20but... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "bnb"]} | unsloth/codegemma-2b | null | [
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"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:18:51+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gemma #text-generation #unsloth #bnb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune... | [] | [
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] |
text-classification | setfit |
# SetFit Aspect Model with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/pa... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "bar:After really enjoying ourselves at the bar we sat down at a table and had dinner."}, {"text": "interior decor:this little place has a ... | Davide1999/setfit-absa-model-aspect_10epochs | null | [
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"mpnet",
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"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/paraphrase-mpnet-base-v2",
"region:us"
] | null | 2024-04-09T13:19:27+00:00 | [
"2209.11055"
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| SetFit Aspect Model with sentence-transformers/paraphrase-mpnet-base-v2
=======================================================================
This is a SetFit model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Tran... | [
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text-classification | setfit |
# SetFit Polarity Model with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "is the best French food you will find:It may be a bit packed on weekends, but the vibe is good and it is the best French food you will fin... | Davide1999/setfit-absa-model-polarity_10epochs | null | [
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"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/paraphrase-mpnet-base-v2",
"region:us"
] | null | 2024-04-09T13:19:46+00:00 | [
"2209.11055"
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| SetFit Polarity Model with sentence-transformers/paraphrase-mpnet-base-v2
=========================================================================
This is a SetFit model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence ... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* spaCy Model: en\\_core\\_web\\_lg\n* SetFitABSA Aspect Model: setfit-absa-aspect\n* SetFitABSA Polarity Model: Davide1999/setfit-absa... | [
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text-generation | transformers |
# T3qm7Mergerix-7B
T3qm7Mergerix-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: nlpguy/T3QM7
- model: MiniMoog/Mergerix-7b-v0.3
merge_method: model_stock
ba... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qm7Mergerix-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:20:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# T3qm7Mergerix-7B
T3qm7Mergerix-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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text-generation | transformers |
## Exllama v2 Quantizations of codegemma-7b-it
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contain... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below... | bartowski/codegemma-7b-it-exl2 | null | [
"transformers",
"text-generation",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:21:18+00:00 | [] | [] | TAGS
#transformers #text-generation #license-gemma #endpoints_compatible #region-us
| Exllama v2 Quantizations of codegemma-7b-it
-------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the main... | [] | [
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20
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Abhishek107/Azure_metric_log1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:23:10+00:00 | [
"1910.09700"
] | [] | TAGS
#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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text-generation | transformers |
# MeliodasPercival_01_Inex16Calme
MeliodasPercival_01_Inex16Calme is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Inex16Calme-7B](https://huggingface.co/automerger/Inex16Calme-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Inex16Calme", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Inex16Calme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/MeliodasPercival_01_Inex16Calme | null | [
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"text-generation-inference",
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"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Inex16Calme-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:25:16+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Inex16Calme-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Inex16Calme
MeliodasPercival_01_Inex16Calme is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Inex16Calme-7B
## Usage
| [
"# MeliodasPercival_01_Inex16Calme\n\nMeliodasPercival_01_Inex16Calme is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Inex16Calme-7B",
"## Usage"
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"# MeliodasPercival_01_Inex16Calme\n\nMeliodasPercival_01_Inex16C... | [
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRk_ZQ_ZtX-qzFP3qZBBHZNcMD1hh?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20but... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "bnb"]} | unsloth/codegemma-7b | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"bnb",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:26:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gemma #text-generation #unsloth #bnb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune... | [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #unsloth #bnb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
50
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"TAGS\n#transformers #safetensors #gemma #text-generation #unsloth #bnb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-generation | transformers |
# YamshadowInex12_Experiment26Experiment24
YamshadowInex12_Experiment26Experiment24 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Experiment26Experiment24-7B](https://huggingface.co/automerger/Experiment26Experiment24-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Experiment26Experiment24", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Experiment26Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/YamshadowInex12_Experiment26Experiment24 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/Experiment26Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:31:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Experiment26Experiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Experiment26Experiment24
YamshadowInex12_Experiment26Experiment24 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Experiment26Experiment24-7B
## Usage
| [
"# YamshadowInex12_Experiment26Experiment24\n\nYamshadowInex12_Experiment26Experiment24 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Experiment26Experiment24-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Experiment26Experiment24-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowInex12_Experiment26Experiment24\n\nYamshadow... | [
81,
69,
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Experiment26Experiment24-7B #license-apache-2.0 #autotrain_compatible #region-us \n# YamshadowInex12_Experiment26Experiment24\n\nYamshadowInex12... |
question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# babyberta-french-childes-finetuned-french-squad-v1
This model was trained from scratch on the None dataset.
## Model descriptio... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "babyberta-french-childes-finetuned-french-squad-v1", "results": []}]} | lielbin/babyberta-french-childes-finetuned-french-squad-v1 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:31:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us
|
# babyberta-french-childes-finetuned-french-squad-v1
This model was trained from scratch on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# babyberta-french-childes-finetuned-french-squad-v1\n\nThis model was trained from scratch on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us \n",
"# babyberta-french-childes-finetuned-french-squad-v1\n\nThis model was trained from scratch on the None dataset.",
"## Model description\n\nMore information needed",
"## I... | [
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