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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. -->
# Aroma-classifier
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Aroma-classifier", "results": []}]} | lengocquangLAB/Aroma-classifier | null | [
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| Aroma-classifier
================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5927
* Accuracy: 0.8604
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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null | null | Great Value RVC models, quality and accuracy not guaranteed.
| {"license": "mit", "title": "RVC Inference", "emoji": "\ud83c\udf99", "colorFrom": "pink", "colorTo": "green", "sdk": "gradio", "sdk_version": "3.28.3", "app_file": "app_multi.py", "pinned": false} | Hvpn/rvc-inference | null | [
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| Great Value RVC models, quality and accuracy not guaranteed.
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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/ParasiticRogue/Nyakura-CausalLM-RP-34B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Ny... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "ParasiticRogue/Nyakura-CausalLM-RP-34B", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Nyakura-CausalLM-RP-34B-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 | mlx |
# mlx-community/bagel-dpo-34b-v0.5-4bit-mlx
This model was converted to MLX format from [`jondurbin/bagel-dpo-34b-v0.5`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
`... | {"license": "other", "tags": ["mlx"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "ca... | mlx-community/bagel-dpo-34b-v0.5-4bit-mlx | null | [
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# mlx-community/bagel-dpo-34b-v0.5-4bit-mlx
This model was converted to MLX format from ['jondurbin/bagel-dpo-34b-v0.5']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/ml_13 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | Poompatai/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6422
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# impact-cat
This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivo... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "allenai/scibert_scivocab_uncased", "model-index": [{"name": "impact-cat", "results": []}]} | conflick0/impact-cat | null | [
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| impact-cat
==========
This model is a fine-tuned version of allenai/scibert\_scivocab\_uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5393
* Accuracy: 0.7781
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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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. -->
# vi_en_envit5-translation_docs_news_train
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.c... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "vi_en_envit5-translation_docs_news_train", "results": []}]} | yuufong/vi_en_envit5-translation_docs_news_train | null | [
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|
# vi_en_envit5-translation_docs_news_train
This model is a fine-tuned version of VietAI/envit5-translation 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-classification | transformers | # Emotion Analysis Model (Arabic)
This repository contains a model for emotion analysis in Arabic text. The model predicts the emotion associated with a given text input. It was developed by Kirolos Amgad Khela and trained on the Emotone dataset and the SetFit/Emotion dataset after transcribing text to Arabic.
## Mod... | {} | kiroloskhela/Sentiment-Bert | null | [
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"safetensors",
"bert",
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#transformers #safetensors #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| # Emotion Analysis Model (Arabic)
This repository contains a model for emotion analysis in Arabic text. The model predicts the emotion associated with a given text input. It was developed by Kirolos Amgad Khela and trained on the Emotone dataset and the SetFit/Emotion dataset after transcribing text to Arabic.
## Mod... | [
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text-classification | setfit |
# SetFit with meedan/paraphrase-filipino-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [meedan/paraphrase-filipino-mpnet-base-v2](https://huggingface.co/meedan/paraphrase-filipino-mpnet-base-v2) as the Sentence Transforme... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "delivery and food preparation was suoer fast. nice"}, {"text": "Hard, stale cookies that were probably sitting out for days."}, {"text": "I ordere... | bsen26/eyeR-classification-model-1.0 | null | [
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| SetFit with meedan/paraphrase-filipino-mpnet-base-v2
====================================================
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | jinquan122/keyword_finetuned_embedding | null | [
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"mpnet",
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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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. -->
# Palate-classifier
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Palate-classifier", "results": []}]} | lengocquangLAB/Palate-classifier | null | [
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| Palate-classifier
=================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5824
* Accuracy: 0.8612
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-generation | transformers |
# japanese-gpt-1b-PII-masking
# Model Description
japanese-gpt-1b-PII-masking は、 [日本語事前学習済み1B GPTモデル](https://huggingface.co/rinna/japanese-gpt-1b)をベースとして、日本語の文章から個人情報をマスキングするように学習したモデルです。<br>
<br>
... | {"language": ["ja"], "license": "mit", "pipeline_tag": "text-generation", "widget": [{"text": "# \u30bf\u30b9\u30af\n\u5165\u529b\u6587\u4e2d\u306e\u500b\u4eba\u60c5\u5831\u3092\u30de\u30b9\u30ad\u30f3\u30b0\u305b\u3088\n\n# \u5165\u529b\u6587\n\u6e21\u9089\u4eae\u3067\u3059\u3002\u73fe\u5728\u306e\u4f4f\u6240\u306f\u6... | cameltech/japanese-gpt-1b-PII-masking | null | [
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| japanese-gpt-1b-PII-masking
===========================
!image/png
Model Description
=================
japanese-gpt-1b-PII-masking は、 日本語事前学習済み1B GPTモデルをベースとして、日本語の文章から個人情報をマスキングするように学習したモデルです。
個人情報は以下の対応関係でマスキングされます。
Usage
=====
Licenese
========
The MIT license
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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. -->
# gerskill_bert
This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on a... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "bert-base-german-cased", "model-index": [{"name": "gerskill_bert", "results": []}]} | dathi103/gerskill_bert | null | [
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| gerskill\_bert
==============
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1397
* Hard: {'precision': 0.6933333333333334, 'recall': 0.7878787878787878, 'f1': 0.7375886524822695, 'number': 330}
* Soft: {'precisi... | [
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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": []} | Shaleen123/phi-2-4bits | null | [
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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": []} | Shengkun/LLama2-7B-Structural-Prune-1.2x | null | [
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text-generation | transformers | # Untitled Model (1)
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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the mer... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["psiilu/h2o-small-finch-1-1-1-1-1-1", "psiilu/h2o-small-finch-1-1-1-1-1-1-1-2-1"]} | psiilu/h2o-dpo-merge2 | null | [
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| # Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* psiilu/h2o-small-finch-1-1-1-1-1-1
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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. -->
# Taste-classifier
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Taste-classifier", "results": []}]} | lengocquangLAB/Taste-classifier | null | [
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| Taste-classifier
================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5014
* Accuracy: 0.896
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["bg"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-bg-pythia-6.9b-deduped | null | [
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### Model Description
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/tinyLlama1B | null | [
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#peft #safetensors #llama #region-us
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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": "meta-llama/Llama-2-7b-chat-hf"} | cheungra/llama-2-7b-cncomm | null | [
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-en-pythia-6.9b-deduped | null | [
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### Model Description
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null | null |
<p align="center" style="margin:0;padding:0">
<img src="https://huggingface.co/BramVanroy/GEITje-7B-ultra/resolve/main/geitje-ultra-banner.png" alt="GEITje Ultra banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
<div style="margin:auto; text-align:center">
<h1 style="margin-bot... | {"language": ["nl"], "license": "cc-by-nc-4.0", "tags": ["gguf", "llamacpp", "dpo", "geitje", "conversational"], "datasets": ["BramVanroy/ultra_feedback_dutch"]} | BramVanroy/GEITje-7B-ultra-GGUF | null | [
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<img src="URL alt="GEITje Ultra banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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<h1 style="margin-bottom: 0">GEITje 7B ultra (GGUF version)</h1>
<em>A conversational model for Dutch, al... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/1e-5/", "results": []}]} | yujia23/axolotl-mistral-cn-1e-5-lora | null | [
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See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/mistral/CN/toxi/1e-5/
=================================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on th... | [
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text-generation | adapter-transformers | # Fine-Tuned Llama 2 model for Multilingual Text Generation
This repository contains adapters for the `adapter-transformers` library aimed at enabling multilingual text generation. It leverages datasets such as `siddeo99/sidtestfiverrmulti` and supports multiple languages including English, Hindi, and Punjabi.
## Ins... | {"language": ["en", "hi", "pa"], "license": "apache-2.0", "library_name": "adapter-transformers", "tags": ["job-search", "skill-development", "foreign-counseling"], "datasets": ["Mayank082000/Multilingual_Sentences_with_Sentences"], "pipeline_tag": "text-generation"} | Mayank082000/job_search_finetune | null | [
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| # Fine-Tuned Llama 2 model for Multilingual Text Generation
This repository contains adapters for the 'adapter-transformers' library aimed at enabling multilingual text generation. It leverages datasets such as 'siddeo99/sidtestfiverrmulti' and supports multiple languages including English, Hindi, and Punjabi.
## Ins... | [
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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. -->
# FYP_sq2_mrqa_adqa_synqa
This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa](https://huggingface.co/kxx-kkk/FYP_sq2... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["syn_qa"], "base_model": "kxx-kkk/FYP_sq2_mrqa_adqa", "model-index": [{"name": "FYP_sq2_mrqa_adqa_synqa", "results": []}]} | kxx-kkk/FYP_sq2_mrqa_adqa_synqa | null | [
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| FYP\_sq2\_mrqa\_adqa\_synqa
===========================
This model is a fine-tuned version of kxx-kkk/FYP\_sq2\_mrqa\_adqa on the syn\_qa dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9362
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/tinyllama-ja-wikibook-jhs-v0.1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-es-pythia-6.9b-deduped | null | [
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### Model Description
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text-generation | transformers | # merge_2
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:
* [minhtt/vistral-7b-chat](https://huggingfa... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["minhtt/vistral-7b-chat", "EmbeddedLLM/Mistral-7B-Merge-14-v0.3"]} | TunyTrinh/test_mistral_03 | null | [
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| # merge_2
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:
* minhtt/vistral-7b-chat
* EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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text-generation | transformers | THIS IS NOT FOR USE, THIS IS A TEST BY A STUPID KID | {} | CookieMaster/deepseek-Kunoichi-DPO | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# impaired-v3-independent-severe
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["honzapucalek/impaired_v3_independent_severe"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "impaired-v3-independent-severe", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automa... | honzapucalek/impaired-v3-independent-severe | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-05T07:58:04+00:00 | [] | [] | TAGS
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| impaired-v3-independent-severe
==============================
This model is a fine-tuned version of openai/whisper-large-v3 on the honzapucalek/impaired\_v3\_independent\_severe cs dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5988
* Wer: 0.4211
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Synthiallamaguanco-7B-slerp
Synthiallamaguanco-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Lazycuber/L2-7b-Synthia-OH2-test-v1.5](https://huggingface.co/Lazycuber/L2-7b-Synthia-OH2-test-v1.5)
* [ryanyeo/r... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Lazycuber/L2-7b-Synthia-OH2-test-v1.5", "ryanyeo/ryankirnect-llama-2-7b-miniguanaco"], "base_model": ["Lazycuber/L2-7b-Synthia-OH2-test-v1.5", "ryanyeo/ryankirnect-llama-2-7b-miniguanaco"]} | allknowingroger/Synthiallamaguanco-7B-slerp | null | [
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# Synthiallamaguanco-7B-slerp
Synthiallamaguanco-7B-slerp is a merge of the following models using LazyMergekit:
* Lazycuber/L2-7b-Synthia-OH2-test-v1.5
* ryanyeo/ryankirnect-llama-2-7b-miniguanaco
## Configuration
## Usage
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fr"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fr-pythia-6.9b-deduped | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
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* Instruction tunin... | [
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["ru"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-ru-pythia-6.9b-deduped | null | [
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|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: pythia-6.9b-deduped
* Instruction tunin... | [
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image-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | hannahisrael03/detr-fashionpedia | 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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | meghas/pheme_reddit_bert | null | [
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|
# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Drahokma/mistral_7b_cz | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/MaidFlameSoup-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nbeerbower/MaidFlameSoup-7B", "quantized_by": "mradermacher"} | mradermacher/MaidFlameSoup-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | thanhduc1180/vistral_abmusu2022 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
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### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/HachiML/Swallow-7b-hf-CodeSkill
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "HachiML/Swallow-7b-hf-CodeSkill", "quantized_by": "mradermacher"} | mradermacher/Swallow-7b-hf-CodeSkill-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:HachiML/Swallow-7b-hf-CodeSkill",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T08:12:09+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-HachiML/Swallow-7b-hf-CodeSkill #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/6389d3c61e8755d777902366/-_AiKUEsY3x-N7oY52fdE.jpeg" style="border-radius:6%; width: 33%">
# pandafish-2-7b-32k
pandafish-2-7b-32k is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6Gz... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | ichigoberry/pandafish-2-7b-32k | null | [
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"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v0... | null | 2024-04-05T08:13:38+00:00 | [] | [] | TAGS
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pandafish-2-7b-32k
==================
pandafish-2-7b-32k is a merge of the following models using LazyMergekit:
* mistralai/Mistral-7B-Instruct-v0.2
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
Try it
------
Playground on Huggingface Space
Chat templ... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "results", "results": []}]} | boloboccine/llama-2-card-cutting-adapter | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-NousResearch/Llama-2-7b-hf #region-us
| results
=======
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9871
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vi_en_envit5-translation_half_doc_news_train
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingfa... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "vi_en_envit5-translation_half_doc_news_train", "results": []}]} | yuufong/vi_en_envit5-translation_half_doc_news_train | null | [
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] | null | 2024-04-05T08:19:54+00:00 | [] | [] | TAGS
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|
# vi_en_envit5-translation_half_doc_news_train
This model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
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text-generation | transformers |
# J.O.S.I.E.3-Beta10-7B-slerp
J.O.S.I.E.3-Beta10-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Weyaxi/Einstein-v5-v0.2-7B](https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B)
* [argilla/CapybaraHermes-2.5-Mist... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Weyaxi/Einstein-v5-v0.2-7B", "argilla/CapybaraHermes-2.5-Mistral-7B"], "base_model": ["Weyaxi/Einstein-v5-v0.2-7B", "argilla/CapybaraHermes-2.5-Mistral-7B"]} | Isaak-Carter/J.O.S.I.E.3-Beta10-7B-slerp | null | [
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"license:apa... | null | 2024-04-05T08:22:21+00:00 | [] | [] | TAGS
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# J.O.S.I.E.3-Beta10-7B-slerp
J.O.S.I.E.3-Beta10-7B-slerp is a merge of the following models using LazyMergekit:
* Weyaxi/Einstein-v5-v0.2-7B
* argilla/CapybaraHermes-2.5-Mistral-7B
## Configuration
## Evaluation
## Usage
| [
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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-101_finetuned_CSGO
This model is a fine-tuned version of [ShaneOD2611/detr-resnet-101_finetuned_CSGO](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "ShaneOD2611/detr-resnet-101_finetuned_CSGO", "model-index": [{"name": "detr-resnet-101_finetuned_CSGO", "results": []}]} | ShaneOD2611/detr-resnet-101_finetuned_CSGO | null | [
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"license:apache-2.0",
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"region:us"
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|
# detr-resnet-101_finetuned_CSGO
This model is a fine-tuned version of ShaneOD2611/detr-resnet-101_finetuned_CSGO on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# detr-resnet-101_finetuned_CSGO\n\nThis model is a fine-tuned version of ShaneOD2611/detr-resnet-101_finetuned_CSGO on an unknown dataset.",
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text-generation | transformers |
# PlatVR-sft - Hermes 2 Pro - Mistral 7B
**Image generated by [copilot designer](https://copilot.microsoft.com/images/create).
## Model Details
This model is part of the EVIDENT framework, design... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chatml", "mistral", "synthetic data", "finetune"], "datasets": ["ITG/PlatVR-sft"]} | ITG/PlatVR-sft | null | [
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"region:us"
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|
# PlatVR-sft - Hermes 2 Pro - Mistral 7B
!image/jpeg
Image generated by copilot designer.
## Model Details
This model is part of the EVIDENT framework, designed to enhance the creative process in generating background images for virtual reality sets. It interprets user instructions to generate and modify prompts fo... | [
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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 |
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["vi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vivos"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogni... | Neruzo/whisper-small-hi | null | [
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the ## dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3333
* Wer: 97.2028
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/gpx123l | null | [
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text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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text-generation | transformers |
# Mistralchat-7B-slerp
Mistralchat-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3)
* [MaziyarPanahi/openchat_3.5-16k-Mistral-7B-Instr... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Intel/neural-chat-7b-v3-3", "MaziyarPanahi/openchat_3.5-16k-Mistral-7B-Instruct-v0.2-slerp"], "base_model": ["Intel/neural-chat-7b-v3-3", "MaziyarPanahi/openchat_3.5-16k-Mistral-7B-Instruct-v0.2-slerp"]} | allknowingroger/Mistralchat-7B-slerp | null | [
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# Mistralchat-7B-slerp
Mistralchat-7B-slerp is a merge of the following models using LazyMergekit:
* Intel/neural-chat-7b-v3-3
* MaziyarPanahi/openchat_3.5-16k-Mistral-7B-Instruct-v0.2-slerp
## Configuration
## Usage
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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-2-13b-hf-platypus_v3
This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/L... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-13b-hf", "model-index": [{"name": "Llama-2-13b-hf-platypus_v3", "results": []}]} | NassimB/Llama-2-13b-hf-platypus_v3 | null | [
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|
# Llama-2-13b-hf-platypus_v3
This model is a fine-tuned version of meta-llama/Llama-2-13b-hf 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 |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | ericwky/llm_model_basel | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | meghas/our_twitter_bert | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/NeuralBeagle14-7B](https... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Intel/neural-chat-7b-v3-1", "mlabonne/AlphaMonarch-7B", "HuggingFaceH4/zephyr-7b-beta", "mlabonne/NeuralBeagle14-7B"]} | jambroz/sixtyoneeighty-7b | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mlabonne/NeuralBeagle14-7B as a base.
### Models Merged
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* Intel/neural-chat-7b-v3-1
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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": []} | shallow6414/nfc8pbm | null | [
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"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T08:37:46+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [Shalee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Shaleen123/phi-2-maths", "Shaleen123/phi-2-code", "Shaleen123/phi-2-4bits"]} | Shaleen123/phi-2-merge | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-in... | null | 2024-04-05T08:38:04+00:00 | [
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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 linear merge method.
### Models Merged
The following models were included in the merge:
* Shaleen123/phi-2-maths
* Shaleen123/phi-2-code
* Shaleen123/phi-2-4bits
### Con... | [
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text-generation | transformers |
# J.O.S.I.E.3-Beta11-7B-slerp
J.O.S.I.E.3-Beta11-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/dolphin-2.8-experiment26-7b](https://huggingface.co/cognitivecomputations/dolphin-2.8-exper... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "cognitivecomputations/dolphin-2.8-experiment26-7b", "argilla/CapybaraHermes-2.5-Mistral-7B"], "base_model": ["cognitivecomputations/dolphin-2.8-experiment26-7b", "argilla/CapybaraHermes-2.5-Mistral-7B"]} | Isaak-Carter/J.O.S.I.E.3-Beta11-7B-slerp | null | [
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"conversational",
"base_model:cognitivecomputations/dolphin-2.8-experiment26-7b",
"base_model:argilla/... | null | 2024-04-05T08:39:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #cognitivecomputations/dolphin-2.8-experiment26-7b #argilla/CapybaraHermes-2.5-Mistral-7B #conversational #base_model-cognitivecomputations/dolphin-2.8-experiment26-7b #base_model-argilla/CapybaraHermes-2.5-Mistral-7B #license-apac... |
# J.O.S.I.E.3-Beta11-7B-slerp
J.O.S.I.E.3-Beta11-7B-slerp is a merge of the following models using LazyMergekit:
* cognitivecomputations/dolphin-2.8-experiment26-7b
* argilla/CapybaraHermes-2.5-Mistral-7B
## Configuration
## Evaluation
## Usage
| [
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text-generation | transformers | # merge_base_ft_3
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:
* [rrw-x2/KoSOLAR-10.7B-DPO-v1.0](ht... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["rrw-x2/KoSOLAR-10.7B-DPO-v1.0", "JY623/KoSOLAR-10.7B-merge-v2.0"]} | JY623/KoSOLRA-10.7B-merge-v2.3 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:rrw-x2/KoSOLAR-10.7B-DPO-v1.0",
"base_model:JY623/KoSOLAR-10.7B-merge-v2.0",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T08:42:35+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-rrw-x2/KoSOLAR-10.7B-DPO-v1.0 #base_model-JY623/KoSOLAR-10.7B-merge-v2.0 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge_base_ft_3
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:
* rrw-x2/KoSOLAR-10.7B-DPO-v1.0
* JY623/KoSOLAR-10.7B-merge-v2.0
### Con... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | haes95/cdlm-7-all-nl2sql-v1.0 | null | [
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"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-05T08:43:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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 #llama #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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null | null |
# reach-vb/gemma-1.1-2b-it-Q6_K-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T08:43:12+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q6_K-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note: ... | [
"# reach-vb/gemma-1.1-2b-it-Q6_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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\nCLI:\n\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
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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. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["maccrobat_biomedical_ner"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-ner", "results": [{"task": {"type": "token-classification", "... | NeverLearn/distilbert-base-uncased-finetuned-ner | null | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"dataset:maccrobat_biomedical_ner",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T08:43:33+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #token-classification #generated_from_trainer #dataset-maccrobat_biomedical_ner #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-ner
=====================================
This model is a fine-tuned version of distilbert-base-uncased on the maccrobat\_biomedical\_ner dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4960
* Precision: 0.0
* Recall: 0.0
* F1: 0.0
* Accuracy: 0.4185
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* 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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null | null |
# reach-vb/gemma-1.1-2b-it-Q5_K_M-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T08:44:43+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q5_K_M-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note... | [
"# reach-vb/gemma-1.1-2b-it-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-2b-it-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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 throu... | [
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null | null | # Download the models
Use the package ```huggingface_hub``` to download the model using Python.
- Install it with
```
pip install huggingface_hub
```
- Download the weights (e.g., yolov8n-fp32-imgsz640.engine) with:
```
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="loreleva/yolov8",
filename="... | {} | loreleva/yolov8 | null | [
"region:us"
] | null | 2024-04-05T08:44:52+00:00 | [] | [] | TAGS
#region-us
| # Download the models
Use the package to download the model using Python.
- Install it with
- Download the weights (e.g., URL) with:
| [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mcrovero/flan-t5-base-html-events | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-cosine-margin-1-epoch-1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentenc... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-cosine-margin-1-epoch-1 | null | [
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#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# luiz-and-robert-thesis/all-mpnet-base-v2-cosine-margin-1-epoch-1
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you hav... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/bophades-mistral-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nbeerbower/bophades-mistral-7B", "quantized_by": "mradermacher"} | mradermacher/bophades-mistral-7B-GGUF | null | [
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"en"
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#transformers #gguf #mergekit #merge #en #base_model-nbeerbower/bophades-mistral-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This model performs summerization on dialogue between people. It was finetuned on top of bart-large-xsum model to generate summaries based on context in the datasets.
## Model Details
### Model Description
<!-- Provide a longer ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["samsum", "knkarthick/dialogsum"], "metrics": ["rouge"]} | axlesubash/BART-large-xsum-finetuned-dialogSummarization | null | [
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|
# Model Card for Model ID
This model performs summerization on dialogue between people. It was finetuned on top of bart-large-xsum model to generate summaries based on context in the datasets.
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | caffeinatedcherrychic/cidds-agg-newtest | null | [
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#peft #pytorch #safetensors #llama #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- 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/Alsebay/Hyou-2x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "merge", "Roleplay"], "base_model": "Alsebay/Hyou-2x7B", "quantized_by": "mradermacher"} | mradermacher/Hyou-2x7B-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #moe #merge #Roleplay #en #base_model-Alsebay/Hyou-2x7B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | null |
# reach-vb/gemma-1.1-2b-it-Q5_K_S-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q5_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T08:49:08+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q5_K_S-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note... | [
"# reach-vb/gemma-1.1-2b-it-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null |
# reach-vb/gemma-1.1-2b-it-Q5_0-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q5_0-GGUF | null | [
"gguf",
"llama-cpp",
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"region:us"
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q5_0-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note: ... | [
"# reach-vb/gemma-1.1-2b-it-Q5_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mcrovero/flan-t5-small-html-events | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T08:50:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | null |
# reach-vb/gemma-1.1-2b-it-Q4_K_S-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q4_K_S-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note... | [
"# reach-vb/gemma-1.1-2b-it-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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\nCLI:\... | [
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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. -->
# Medical-NER-finetuned-ner
This model is a fine-tuned version of [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["maccrobat_biomedical_ner"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "Clinical-AI-Apollo/Medical-NER", "model-index": [{"name": "Medical-NER-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Toke... | NeverLearn/Medical-NER-finetuned-ner | null | [
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"safetensors",
"deberta-v2",
"token-classification",
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"license:mit",
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"autotrain_compatible",
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| Medical-NER-finetuned-ner
=========================
This model is a fine-tuned version of Clinical-AI-Apollo/Medical-NER on the maccrobat\_biomedical\_ner dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5635
* Precision: 0.8425
* Recall: 0.8538
* F1: 0.8481
* Accuracy: 0.9046
Model des... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8.26814930103799e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",... | [
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null | null |
# reach-vb/gemma-1.1-2b-it-Q3_K_L-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q3_K_L-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q3_K_L-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note... | [
"# reach-vb/gemma-1.1-2b-it-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hre 4.2 - male and female voice - 600 steps, metric CER, skip_special_tokens False
This model is a fine-tuned ver... | {"language": ["hre"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ntviet/Hre-audio-dataset4"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hre 4.2 - male and female voice - 600 steps, metric CER, skip_special_tokens False", "results": []}]} | ntviet/whisper-small-hre4.2 | null | [
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| Whisper Small Hre 4.2 - male and female voice - 600 steps, metric CER, skip\_special\_tokens False
==================================================================================================
This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 4 dataset.
It achieves the following... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KaggleMasterX/Roberta_reads | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | KaggleMasterX/RobertaTok_reads | null | [
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|
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** AvizvaSolutions
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-1210
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "openchat/openchat-3.5-1210"} | AvizvaSolutions/testVersion-10 | null | [
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# Uploaded model
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- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
# reach-vb/gemma-1.1-2b-it-Q3_K_M-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q3_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T08:59:05+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q3_K_M-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note... | [
"# reach-vb/gemma-1.1-2b-it-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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\nCLI:\... | [
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null | null |
# reach-vb/gemma-1.1-2b-it-Q3_K_S-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-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://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q3_K_S-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q3_K_S-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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:
Note... | [
"# reach-vb/gemma-1.1-2b-it-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-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\nCLI:\... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_19 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | 0x0mom/sl4 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Giuseppe23/mistral_7b_athlos_v0.3 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ParkTaeEon/Myrrh_solar_10.7b_v0.1-dpo
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ParkTaeEon/Myrrh_solar_10.7b_v0.1-dpo", "quantized_by": "mradermacher"} | mradermacher/Myrrh_solar_10.7b_v0.1-dpo-GGUF | null | [
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"base_model:ParkTaeEon/Myrrh_solar_10.7b_v0.1-dpo",
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"endpoints_compatible",
"region:us"
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#transformers #gguf #en #base_model-ParkTaeEon/Myrrh_solar_10.7b_v0.1-dpo #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/tinyllama-hi-wikipedia-1.5T-v0.1 | null | [
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"llama",
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"arxiv:1910.09700",
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"region:us"
] | null | 2024-04-05T09:03:06+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- 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:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/falcon1B | null | [
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"safetensors",
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"region:us"
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#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
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- llm_int8_skip_modules: None
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text-generation | transformers |
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [fterry/FofoNet-DolphinChat-slerp](https://huggingface.co/fterry/FofoNet-DolphinChat-slerp)
* [vgorce/MarcoroNeuralChat-7B-slerp](... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "fterry/FofoNet-DolphinChat-slerp", "vgorce/MarcoroNeuralChat-7B-slerp"], "base_model": ["fterry/FofoNet-DolphinChat-slerp", "vgorce/MarcoroNeuralChat-7B-slerp"]} | allknowingroger/NeuralDolphin-7B-slerp | null | [
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"license:apache-2.0",
"aut... | null | 2024-04-05T09:04:37+00:00 | [] | [] | TAGS
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# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using LazyMergekit:
* fterry/FofoNet-DolphinChat-slerp
* vgorce/MarcoroNeuralChat-7B-slerp
## Configuration
## 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": []} | 0x0uncle0/uncle36 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:04:54+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# dialogue-summary-training_last
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "dialogue-summary-training_last", "results": []}]} | essamdeeplearning/dialogue-summary-training_last | null | [
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"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:05:03+00:00 | [] | [] | TAGS
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|
# dialogue-summary-training_last
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | null |
# reach-vb/gemma-1.1-7b-it-Q8_0-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-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://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:05:21+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q8_0-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-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:
Note: ... | [
"# reach-vb/gemma-1.1-7b-it-Q8_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KaggleMasterX/Robertalarge_reads | null | [
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"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | devtons/function_push_to_hub_test | null | [
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"safetensors",
"pegasus",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #pegasus #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KaggleMasterX/RobertalargeTok_reads | null | [
"transformers",
"arxiv:1910.09700",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- 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 #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- Developed by: \n- ... | [
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"TAGS\n#transformers #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- Developed by: \n- Funded by [optiona... |
reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | dbailleul/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T09:07:14+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
"TAGS\n#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this envi... | [
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"TAGS\n#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n## Downloading the model\n\nAfter installing Sample-Factory, download the model with:## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n... |
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