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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": []} | swj0419/email_retrain_STEP0000006 | 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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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 Cebuano - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/opena... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ahoka/ceb-eng"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Cebuano - Sanchit Gandhi", "results": []}]} | ahoka/whisper-small-eng | null | [
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|
# Whisper Small Cebuano - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, & Bulgarian corpora (Top 3 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Dependencies Tagalog Ugnayan ... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top3lang | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-finetuned-wikitext2
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/g... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "gpt2-finetuned-wikitext2", "results": []}]} | Anwesh0127/gpt2-finetuned-wikitext2 | null | [
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| gpt2-finetuned-wikitext2
========================
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3926
Model description
-----------------
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/bbc_retrain_STEP0000060 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NHS-bert-binary-random
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "NHS-bert-binary-random", "results": []}]} | intermezzo672/NHS-bert-binary-random | null | [
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| NHS-bert-binary-random
======================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5693
* Accuracy: 0.8050
* Precision: 0.7984
* Recall: 0.8048
* F1: 0.8006
Model description
-----------------
More informa... | [
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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sentence-similarity | sentence-transformers |
# TongZh/distilroberta-base-NLI
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 b... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | TongZh/distilroberta-base-NLI | null | [
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# TongZh/distilroberta-base-NLI
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)
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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": []} | swj0419/bbc_STEP0000120 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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. -->
# model_hh_shp3_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp3_dpo5", "results": []}]} | guoyu-zhang/model_hh_shp3_dpo5 | null | [
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] | null | 2024-04-16T05:37:10+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp3\_dpo5
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2982
* Rewards/chosen: -7.3754
* Rewards/rejected: -9.0651
* Rewards/accuracies: 0.5900
* Rewards/margins: 1.6897
... | [
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text-generation | transformers |
# h2omistral-1.8b-dare1
h2omistral-1.8b-dare1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [h2oai/h2o-danube2-1.8b-base](https://huggingface.co/h2oai/h2o-danube2-1.8b-base)
* [tokyotech-llm/Swallow-MS-7b-v0.1](https:/... | {"tags": ["merge", "mergekit", "lazymergekit", "h2oai/h2o-danube2-1.8b-base", "tokyotech-llm/Swallow-MS-7b-v0.1"], "base_model": ["h2oai/h2o-danube2-1.8b-base", "tokyotech-llm/Swallow-MS-7b-v0.1"]} | aipib/h2omistral-1.8b-dare1 | null | [
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|
# h2omistral-1.8b-dare1
h2omistral-1.8b-dare1 is a merge of the following models using LazyMergekit:
* h2oai/h2o-danube2-1.8b-base
* tokyotech-llm/Swallow-MS-7b-v0.1
## Configuration
## Usage
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text-generation | transformers | ## Model Details
**Model Developers** : Taeeon Park, Gihong Lee
**dataset** : dpo medical dataset (AI-hub dataset 활용 자체 제작)
**Training Method Method** : DPO.
**Company** : MoAData
## Usage
```
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "MoaData/Myrrh_solar_10.7b_2.0"
model = ... | {"language": ["ko"], "license": "apache-2.0"} | MoaData/Myrrh_solar_10.7b_2.0 | null | [
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| ## Model Details
Model Developers : Taeeon Park, Gihong Lee
dataset : dpo medical dataset (AI-hub dataset 활용 자체 제작)
Training Method Method : DPO.
Company : MoAData
## 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": ["trl", "sft"]} | dbaek111/Llama-2-7b-chat-hf-Elon_Interview_407-merged | null | [
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# Model Card for Model ID
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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. -->
# ruBert-base-sberquad-0.005-len_4-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_4-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_4-filtered | null | [
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|
# ruBert-base-sberquad-0.005-len_4-filtered
This model is a fine-tuned version of ai-forever/ruBert-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
##... | [
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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": []} | swj0419/email_retrain_STEP0000008 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
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- 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/Kukedlc/NeuralSOTA-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Kukedlc/NeuralSoTa-7b-v0.1", "Kukedlc/NeuralSynthesis-7B-v0.3", "Kukedlc/NeuralSirKrishna-7b"], "base_model": "Kukedlc/NeuralSOTA-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/NeuralSOTA-7B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# 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": []} | swj0419/bbc_retrain_STEP0000080 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-issues-128
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-issues-128", "results": []}]} | c4big/bert-base-uncased-issues-128 | null | [
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| bert-base-uncased-issues-128
============================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2256
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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depth-estimation | transformers |
# security_model
security_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
* [venkycs/llama-v2-7b-32kC-Security](https://huggingf... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google-bert/bert-base-uncased", "venkycs/llama-v2-7b-32kC-Security"], "base_model": ["google-bert/bert-base-uncased", "venkycs/llama-v2-7b-32kC-Security"], "pipeline_tag": "depth-estimation"} | nagayama0706/security_model | null | [
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"license:apa... | null | 2024-04-16T05:43:41+00:00 | [] | [] | TAGS
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# security_model
security_model is a merge of the following models using LazyMergekit:
* google-bert/bert-base-uncased
* venkycs/llama-v2-7b-32kC-Security
## Configuration
## Usage
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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. -->
# selfbiorag-7b-wo-kqa_golden-sft
This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmis-lab/s... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "dmis-lab/selfbiorag_7b", "model-index": [{"name": "selfbiorag-7b-wo-kqa_golden-sft", "results": []}]} | Minbyul/selfbiorag-7b-wo-kqa_golden-sft | null | [
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| selfbiorag-7b-wo-kqa\_golden-sft
================================
This model is a fine-tuned version of dmis-lab/selfbiorag\_7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0941
Model description
-----------------
More information needed
Int... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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Clip coreml exported image encoder. Exported based on https://github.com/mazzzystar/Queryable/tree/main | {"license": "mit"} | larryliu0820/clip-coreml | 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. -->
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
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#peft #region-us
| ## Training procedure
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- llm_int8_threshold: 6.0
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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. -->
# ruBert-base-sberquad-0.01-len_2-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_2-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_2-filtered-negative-v2 | null | [
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|
# ruBert-base-sberquad-0.01-len_2-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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fill-mask | 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. -->
# Pretraining_Test_v4
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "Pretraining_Test_v4", "results": []}]} | JJ-Tae/Pretraining_Test_v4 | null | [
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|
# Pretraining_Test_v4
This model is a fine-tuned version of microsoft/deberta-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 hyperparame... | [
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text-generation | transformers | <p align="left">
<img src="https://huggingface.co/crimsonjoo/Neversleep-3B-v0.1/resolve/main/neversleep_logo.webp" width="70%"/>
<p>
# "We must sleep, but AI Never Sleeps!"
## Simple-Usage
```python
# number_of_old_tokens is the size of tokenizer before vocab extension. For example, in case of EEVE-Korean-10.8B-v... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "yanolja/EEVE-Korean-2.8B-v1.0"} | crimsonjoo/Neversleep-3B-v0.1 | null | [
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| <p align="left">
<img src="URL width="70%"/>
<p>
# "We must sleep, but AI Never Sleeps!"
## Simple-Usage
## About the Model
First of all, Overwhelming gratitude to 'yanolja/EEVE' Model & Team!
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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": []} | swj0419/bbc_retrain_STEP0000100 | 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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- License... | [
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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. -->
# GUE_splice_reconstructed-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:52:36+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_splice\_reconstructed-seqsight\_8192\_512\_30M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-generation | transformers |
This is an experimental model.
The idea is :
- Calculate the difference in weights between a donor model(meta-math/MetaMath-Mistral-7B) and the base model(mistralai/Mistral-7B-v0.1). This difference represents how much each parameter needs to be adjusted to go from the base state to the donor state.
```
vector = ma... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["conversational", "math", "distillation", "mistral"]} | aloobun/CosmicNoodle-7B | null | [
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|
This is an experimental model.
The idea is :
- Calculate the difference in weights between a donor model(meta-math/MetaMath-Mistral-7B) and the base model(mistralai/Mistral-7B-v0.1). This difference represents how much each parameter needs to be adjusted to go from the base state to the donor state.
- Vector retr... | [
"### Example:"
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"### Example:"
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] |
text-generation | transformers |
# h2omistral-1.8b-dare3
h2omistral-1.8b-dare3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [h2oai/h2o-danube2-1.8b-chat](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat)
* [tokyotech-llm/Swallow-MS-7b-v0.1](https:/... | {"tags": ["merge", "mergekit", "lazymergekit", "h2oai/h2o-danube2-1.8b-chat", "tokyotech-llm/Swallow-MS-7b-v0.1"], "base_model": ["h2oai/h2o-danube2-1.8b-chat", "tokyotech-llm/Swallow-MS-7b-v0.1"]} | aipib/h2omistral-1.8b-dare3 | null | [
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"text-generation",
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"base_model:tokyotech-llm/Swallow-MS-7b-v0.1",
"autotrain_compatibl... | null | 2024-04-16T05:54:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #h2oai/h2o-danube2-1.8b-chat #tokyotech-llm/Swallow-MS-7b-v0.1 #conversational #base_model-h2oai/h2o-danube2-1.8b-chat #base_model-tokyotech-llm/Swallow-MS-7b-v0.1 #autotrain_compatible #endpoints_compatible #text-generation-infere... |
# h2omistral-1.8b-dare3
h2omistral-1.8b-dare3 is a merge of the following models using LazyMergekit:
* h2oai/h2o-danube2-1.8b-chat
* tokyotech-llm/Swallow-MS-7b-v0.1
## 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": []} | swj0419/bbc_STEP0000200 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T05:54:40+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# NHS-roberta-binary-random
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "roberta-base", "model-index": [{"name": "NHS-roberta-binary-random", "results": []}]} | intermezzo672/NHS-roberta-binary-random | null | [
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"text-classification",
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"license:mit",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-16T05:55:23+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| NHS-roberta-binary-random
=========================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5076
* Accuracy: 0.7937
* Precision: 0.7920
* Recall: 0.8022
* F1: 0.7915
Model description
-----------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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: 6",
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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. -->
# GUE_tf_0-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_0-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:56:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_0-seqsight\_8192\_512\_30M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6934
* F1 Score: 0.7132
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# mt5-finetuned-english-to-Finnish
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-smal... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-finetuned-english-to-Finnish", "results": []}]} | ElliottZ/mt5-finetuned-english-to-Finnish | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T05:57:04+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mt5-finetuned-english-to-Finnish
================================
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
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: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_prec... | [
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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. -->
# GUE_tf_1-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_1-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:58:13+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_1-seqsight\_8192\_512\_30M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5174
* F1 Score: 0.7418
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# DataShield
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "DataShield", "results": []}]} | rnaveensrinivas/DataShield | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T05:58:18+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| DataShield
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0984
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# GUE_tf_4-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_4-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:58:52+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_4-seqsight\_8192\_512\_30M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1072
* F1 Score: 0.6985
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Charishma27/sft_mistral_709_steps | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-16T06:01:08+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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 | 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. -->
# GUE_tf_3-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_3-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T06:01:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_3-seqsight\_8192\_512\_30M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6945
* F1 Score: 0.6306
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5-mask-100-beam-3
This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https://huggingface.co/mrm8488/t... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "mrm8488/t5-base-finetuned-common_gen", "model-index": [{"name": "T5-mask-100-beam-3", "results": []}]} | Ziyi98/T5-mask-100-beam-3 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:mrm8488/t5-base-finetuned-common_gen",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T06:01:17+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-mrm8488/t5-base-finetuned-common_gen #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| T5-mask-100-beam-3
==================
This model is a fine-tuned version of mrm8488/t5-base-finetuned-common\_gen on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6461
* Bleu: 5.5434
* Gen Len: 14.3534
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100\n* mixed\\_... | [
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text2text-generation | transformers | # Model Card for Model ID
This model is a fine-tuned version of mt5-small-finetuned-wikisql on an wikisql dataset
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... | {"license": "apache-2.0", "datasets": ["wikisql"], "metrics": ["bleu"]} | Akki-off/mt5-small-finetuned-wikisql2_v1 | null | [
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"dataset:wikisql",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T06:01:29+00:00 | [] | [] | TAGS
#transformers #pytorch #mt5 #text2text-generation #dataset-wikisql #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Model ID
This model is a fine-tuned version of mt5-small-finetuned-wikisql on an wikisql dataset
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
. It achieves the following results on the evaluation set:
### Model Descriptio... | [
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"## Model Details\n. It achieves the following results on the evaluation set:",
... | [
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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. -->
# biomistral-7b-wo-kqa_silver_wogold-sft
This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/B... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "BioMistral/BioMistral-7B", "model-index": [{"name": "biomistral-7b-wo-kqa_silver_wogold-sft", "results": []}]} | Minbyul/biomistral-7b-wo-kqa_silver_wogold-sft | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"trl",
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"generated_from_trainer",
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"base_model:BioMistral/BioMistral-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible"... | null | 2024-04-16T06:02:18+00:00 | [] | [] | TAGS
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| biomistral-7b-wo-kqa\_silver\_wogold-sft
========================================
This model is a fine-tuned version of BioMistral/BioMistral-7B on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8051
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ChakuChidiya/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T06:02:43+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | null |
# DavidAU/roleplay-model-v2-Q6_K-GGUF
This model was converted to GGUF format from [`WendyHoang/roleplay-model-v2`](https://huggingface.co/WendyHoang/roleplay-model-v2) 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:... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "mistral", "pretrained", "llama-cpp", "gguf-my-repo"]} | DavidAU/roleplay-model-v2-Q6_K-GGUF | null | [
"gguf",
"not-for-all-audiences",
"nsfw",
"mistral",
"pretrained",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T06:06:32+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #nsfw #mistral #pretrained #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# DavidAU/roleplay-model-v2-Q6_K-GGUF
This model was converted to GGUF format from 'WendyHoang/roleplay-model-v2' 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:
... | [
"# DavidAU/roleplay-model-v2-Q6_K-GGUF\nThis model was converted to GGUF format from 'WendyHoang/roleplay-model-v2' 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\... | [
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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. -->
# GUE_tf_2-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_2-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T06:08:07+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_2-seqsight\_8192\_512\_30M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6338
* F1 Score: 0.6884
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/tvkkishore/Inspire-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "tvkkishore/Inspire-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/Inspire-7B-slerp-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:tvkkishore/Inspire-7B-slerp",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T06:08:27+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-tvkkishore/Inspire-7B-slerp #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... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-tvkkishore/Inspire-7B-slerp #endpoints_compatible #region-us \n"
] | [
40
] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-tvkkishore/Inspire-7B-slerp #endpoints_compatible #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CartPole-v1**
This is a trained model of a **PPO** agent playing **CartPole-v1**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import... | {"library_name": "stable-baselines3", "tags": ["CartPole-v1", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"... | Sumegh20/ppo-cart-pole-sb3 | null | [
"stable-baselines3",
"CartPole-v1",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T06:08:31+00:00 | [] | [] | TAGS
#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing CartPole-v1\nThis is a trained model of a PPO agent playing CartPole-v1\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing CartPole-v1\nThis is a trained model of a PPO agent playing CartPole-v1\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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] |
text-generation | transformers |
### Model Description
This model is used to generate the template based on the body of any emails or messages. It uses Microsoft's Phi-2 as the base model and was finetuned for 2 epochs on Google Colab's Tesla T4 GPU.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card ... | {"language": ["en"], "license": "mit", "library_name": "transformers"} | anupam413/phi2_qlora_emailGen_bitsandbytes | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-16T06:11:37+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
### Model Description
This model is used to generate the template based on the body of any emails or messages. It uses Microsoft's Phi-2 as the base model and was finetuned for 2 epochs on Google Colab's Tesla T4 GPU.
This is the model card of a transformers model that has been pushed on the Hub. This model card ha... | [
"### Model Description\n\nThis model is used to generate the template based on the body of any emails or messages. It uses Microsoft's Phi-2 as the base model and was finetuned for 2 epochs on Google Colab's Tesla T4 GPU.\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model... | [
"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/johnsnowlabs/JSL-MedMNX-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "medical"], "base_model": "johnsnowlabs/JSL-MedMNX-7B", "quantized_by": "mradermacher"} | mradermacher/JSL-MedMNX-7B-GGUF | null | [
"transformers",
"gguf",
"reward model",
"RLHF",
"medical",
"en",
"base_model:johnsnowlabs/JSL-MedMNX-7B",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T06:12:26+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #reward model #RLHF #medical #en #base_model-johnsnowlabs/JSL-MedMNX-7B #license-cc-by-nc-nd-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... | [] | [
"TAGS\n#transformers #gguf #reward model #RLHF #medical #en #base_model-johnsnowlabs/JSL-MedMNX-7B #license-cc-by-nc-nd-4.0 #endpoints_compatible #region-us \n"
] | [
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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": []} | alixan/mistral7b_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T06:12:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #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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"## Model Details",
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"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #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. -->
# klubert_Fallrisk_NER
This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "klubert_Fallrisk_NER", "results": []}]} | Dongspam/klubert_Fallrisk_NER | null | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T06:13:33+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
| klubert\_Fallrisk\_NER
======================
This model is a fine-tuned version of klue/bert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0686
* Precision: 0.7608
* Recall: 0.7498
* F1: 0.7553
* Accuracy: 0.9845
Model description
-----------------
More informat... | [
"### 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: 2",
"### Traini... | [
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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. -->
# dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned versio... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr5e-06", "results": []}]} | Holarissun/dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr5e-06 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T06:13:49+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Trai... | [
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text-generation | null | Non quantized GGUF version of the model : Trelis/Llama-2-7b-chat-hf-function-calling-v3
The 8-bits quantized and 4-bits quantized models fail to understand which arguments are required and which are optionals | {"language": ["en"], "pipeline_tag": "text-generation"} | JulienSantiago/Llama-2-7b-chat-hf-function-calling-v3-GGUF | null | [
"gguf",
"text-generation",
"en",
"region:us"
] | null | 2024-04-16T06:14:24+00:00 | [] | [
"en"
] | TAGS
#gguf #text-generation #en #region-us
| Non quantized GGUF version of the model : Trelis/Llama-2-7b-chat-hf-function-calling-v3
The 8-bits quantized and 4-bits quantized models fail to understand which arguments are required and which are optionals | [] | [
"TAGS\n#gguf #text-generation #en #region-us \n"
] | [
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text-generation | transformers |
# JupiterINEX12-12B-MoE
JupiterINEX12-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/JupiterMerge-7B-slerp](https://huggingface.co/allknowingroger/JupiterMerge-7B-slerp... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/JupiterMerge-7B-slerp", "allknowingroger/RasGullaINEX12-7B-slerp"], "base_model": ["allknowingroger/JupiterMerge-7B-slerp", "allknowingroger/RasGullaINEX12-7B-slerp"]} | allknowingroger/JupiterINEX12-12B-MoE | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"allknowingroger/JupiterMerge-7B-slerp",
"allknowingroger/RasGullaINEX12-7B-slerp",
"conversational",
"base_model:allknowingroger/JupiterMerge-7B-slerp",
"base_model:allkn... | null | 2024-04-16T06:15:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #allknowingroger/JupiterMerge-7B-slerp #allknowingroger/RasGullaINEX12-7B-slerp #conversational #base_model-allknowingroger/JupiterMerge-7B-slerp #base_model-allknowingroger/RasGullaINEX12-7B-slerp #license-apache-... |
# JupiterINEX12-12B-MoE
JupiterINEX12-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/JupiterMerge-7B-slerp
* allknowingroger/RasGullaINEX12-7B-slerp
## Configuration
## Usage
| [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | VikrantRamesh/Mistral_CN_finetuned | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-16T06:15:57+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #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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text-generation | peft |
# lang-uk/dragoman-4bit
This model was converted to MLX format from the [`lang-uk/dragoman`](https://huggingface.co/lang-uk/dragoman) adapter fused into the [`mistralai/Mistral-7b-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1)
base model and quantized into 4 bits using mlx-lm version **0.4.0**.
Refer to the ... | {"language": ["uk", "en"], "license": "apache-2.0", "library_name": "peft", "tags": ["translation", "mlx"], "datasets": ["Helsinki-NLP/opus_paracrawl", "turuta/Multi30k-uk"], "metrics": ["bleu"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1", "inference": false, "model-index": [{"name": "... | lang-uk/dragoman-4bit | null | [
"peft",
"safetensors",
"mistral",
"translation",
"mlx",
"text-generation",
"uk",
"en",
"dataset:Helsinki-NLP/opus_paracrawl",
"dataset:turuta/Multi30k-uk",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-16T06:17:26+00:00 | [] | [
"uk",
"en"
] | TAGS
#peft #safetensors #mistral #translation #mlx #text-generation #uk #en #dataset-Helsinki-NLP/opus_paracrawl #dataset-turuta/Multi30k-uk #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #model-index #region-us
|
# lang-uk/dragoman-4bit
This model was converted to MLX format from the 'lang-uk/dragoman' adapter fused into the 'mistralai/Mistral-7b-v0.1'
base model and quantized into 4 bits using mlx-lm version 0.4.0.
Refer to the original model card for more details on the model.
## Use with mlx
Or use from your shell:
| [
"# lang-uk/dragoman-4bit\nThis model was converted to MLX format from the 'lang-uk/dragoman' adapter fused into the 'mistralai/Mistral-7b-v0.1'\nbase model and quantized into 4 bits using mlx-lm version 0.4.0.\nRefer to the original model card for more details on the model.",
"## Use with mlx\n\n\n\n\n\nOr use fr... | [
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text-generation | transformers |
# WizardLM-2-8x22B - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_7.0bpw | null | [
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"7-bit",
"region:us"
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| WizardLM-2-8x22B - EXL2 7.0bpw
==============================
This is a 7.0bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work o... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-wo-kqa_silver_wogold-sft
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mis... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-wo-kqa_silver_wogold-sft", "results": []}]} | Minbyul/mistral-7b-wo-kqa_silver_wogold-sft | null | [
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"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generatio... | null | 2024-04-16T06:18:41+00:00 | [] | [] | TAGS
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| mistral-7b-wo-kqa\_silver\_wogold-sft
=====================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8699
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | null | Diatrust ক্যাপসুল কি?
Diatrust ট্যাবলেট স্বাস্থ্যকর রক্তে শর্করার মাত্রাকে সমর্থন করার জন্য তৈরি করা একটি সতর্কতার সাথে তৈরি খাদ্যতালিকাগত সম্পূরক। এটি ইনসুলিন সংবেদনশীলতা বাড়াতে এবং গ্লুকোজ বিপাককে উন্নীত করার জন্য তাদের সম্ভাব্যতার জন্য সাবধানে নির্বাচিত প্রাকৃতিক উপাদানগুলির শক্তিকে কাজে লাগায়। একটি সুষম খাদ্য এব... | {"license": "apache-2.0"} | DiatrustBangladesh/DiatrustBangladesh | null | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
| Diatrust ক্যাপসুল কি?
Diatrust ট্যাবলেট স্বাস্থ্যকর রক্তে শর্করার মাত্রাকে সমর্থন করার জন্য তৈরি করা একটি সতর্কতার সাথে তৈরি খাদ্যতালিকাগত সম্পূরক। এটি ইনসুলিন সংবেদনশীলতা বাড়াতে এবং গ্লুকোজ বিপাককে উন্নীত করার জন্য তাদের সম্ভাব্যতার জন্য সাবধানে নির্বাচিত প্রাকৃতিক উপাদানগুলির শক্তিকে কাজে লাগায়। একটি সুষম খাদ্য এব... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/0wfnfg2 | null | [
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"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T06:19:47+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:
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- License... | [
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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):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistr... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | yuanzheng625/NeuralPipe-7B-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"OpenPipe/mistral-ft-optimized-1218",
"mlabonne/NeuralHermes-2.5-Mistral-7B",
"base_model:OpenPipe/mistral-ft-optimized-1218",
"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
"autotrain_compati... | null | 2024-04-16T06:25:59+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #OpenPipe/mistral-ft-optimized-1218 #mlabonne/NeuralHermes-2.5-Mistral-7B #base_model-OpenPipe/mistral-ft-optimized-1218 #base_model-mlabonne/NeuralHermes-2.5-Mistral-7B #autotrain_compatible #endpoints_compatible #text-generation-... |
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, & Vietnamese corpora (Top 4 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Dependencies Taga... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top4lang | null | [
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"xlm-roberta",
"token-classification",
"tl",
"dataset:universal_dependencies",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T06:26:21+00:00 | [] | [
"tl"
] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us
|
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, & Vietnamese corpora (Top 4 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Dependencies Taga... | [
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, & Vietnamese corpora (Top 4 Languages)\n- Training Details:\n - Base configurations with a minor adjustment in learning rate (4.5e-5)",
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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. -->
# ruBert-base-sberquad-0.01-len_3-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_3-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_3-filtered-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T06:26:56+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.01-len_3-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-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
... | [
"# ruBert-base-sberquad-0.01-len_3-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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null | peft |
# umarigan/TURKCELL-LLM-7B-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`umarigan/TURKCELL-LLM-7B-DPO`](https://huggingface.co/umarigan/TURKCELL-LLM-7B-DPO) 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](h... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "unsloth", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "umarigan/TURKCELL-LLM-7B-openhermes", "model-index": [{"name": "TURKCELL-LLM-7B-DPO", "results": []}]} | umarigan/TURKCELL-LLM-7B-DPO-Q4_K_M-GGUF | null | [
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"dpo",
"unsloth",
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"llama-cpp",
"gguf-my-repo",
"base_model:umarigan/TURKCELL-LLM-7B-openhermes",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T06:27:01+00:00 | [] | [] | TAGS
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|
# umarigan/TURKCELL-LLM-7B-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from 'umarigan/TURKCELL-LLM-7B-DPO' 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:
Serv... | [
"# umarigan/TURKCELL-LLM-7B-DPO-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'umarigan/TURKCELL-LLM-7B-DPO' 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 | 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. -->
# dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned versio... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05", "results": []}]} | Holarissun/dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T06:28:28+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
"# dpo_harmlessharmless_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
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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": []} | ryanyeo/kirnect-KoAlpaca-7B | 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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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. -->
# llama2-7b-wo-kqa_silver_wogold-sft
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-wo-kqa_silver_wogold-sft", "results": []}]} | Minbyul/llama2-7b-wo-kqa_silver_wogold-sft | null | [
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"region:us"... | null | 2024-04-16T06:34:55+00:00 | [] | [] | TAGS
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| llama2-7b-wo-kqa\_silver\_wogold-sft
====================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8717
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | transformers |
# DavidAU/dragonwar-7b-alpha-Q8_0-GGUF
This model was converted to GGUF format from [`maldv/dragonwar-7b-alpha`](https://huggingface.co/maldv/dragonwar-7b-alpha) 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://huggi... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book", "llama-cpp", "gguf-my-repo"]} | DavidAU/dragonwar-7b-alpha-Q8_0-GGUF | null | [
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"license:cc-by-nc-4.0",
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"region:us"
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#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# DavidAU/dragonwar-7b-alpha-Q8_0-GGUF
This model was converted to GGUF format from 'maldv/dragonwar-7b-alpha' 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:
N... | [
"# DavidAU/dragonwar-7b-alpha-Q8_0-GGUF\nThis model was converted to GGUF format from 'maldv/dragonwar-7b-alpha' 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\nCL... | [
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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/sad_pepe_30 | null | [
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"arxiv: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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text-generation | 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. -->
# diaratechHf_llama
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation", "model-index": [{"name": "diaratechHf_llama", "results": []}]} | Yash0109/diaratechHf_llama | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-16T06:37:42+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #text-generation #conversational #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# diaratechHf_llama
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# diaratechHf_llama\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Train... | [
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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. -->
# GUE_prom_prom_300_tata-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_16384_512_22M-L32_all | null | [
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"safetensors",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_16384\_512\_22M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | transformers |
# DavidAU/electric-mist-7b-Q8_0-GGUF
This model was converted to GGUF format from [`maldv/electric-mist-7b`](https://huggingface.co/maldv/electric-mist-7b) 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... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "llama-cpp", "gguf-my-repo"], "datasets": ["maldv/cyberpunk", "microsoft/orca-math-word-problems-200k", "Weyaxi/sci-datasets", "grimulkan/theory-of-mind", "ResplendentAI/Synthetic_Soul_1k", "Graph... | DavidAU/electric-mist-7b-Q8_0-GGUF | null | [
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"dataset:Weyaxi/sci-datasets",
"dataset:grimulkan/theory-of-mind",
"dataset:ResplendentAI/Synthetic_Soul_... | null | 2024-04-16T06:38:01+00:00 | [] | [
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] | TAGS
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# DavidAU/electric-mist-7b-Q8_0-GGUF
This model was converted to GGUF format from 'maldv/electric-mist-7b' 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:... | [
"# DavidAU/electric-mist-7b-Q8_0-GGUF\nThis model was converted to GGUF format from 'maldv/electric-mist-7b' 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 Medium GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/ope... | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN", "ymoslem/SpokenWords-GA-EN-MTed"], "metrics": ["bleu", "wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper M... | ymoslem/whisper-medium-ga2en-v2 | null | [
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"dataset:ymoslem/BitesizeIrish-GA-EN",
"dataset:ymoslem/SpokenWords-GA-EN-MTed",
"base_model:opena... | null | 2024-04-16T06:40:08+00:00 | [] | [
"ga",
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=======================================
This model is a fine-tuned version of openai/whisper-medium on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
The best model checkpoint (this version) is at step 1400, epoch 1.84 (4 x 0.46), and it achieves... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_step... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-emotion", "results": []}]} | Praveenna/distilbert-emotion | null | [
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"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T06:42:06+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert-emotion
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
"# distilbert-emotion\n\nThis model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# bert2bert-extabs-canonicalcleandata-lr-5e-05-batchsize-4-encmaxlen-512-decmaxlen-256
10 Epoch Extractive Training + 10 Epoch Abtr... | {"tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "model-index": [{"name": "bert2bert-extabs-canonicalcleandata-lr-5e-05-batchsize-4-encmaxlen-512-decmaxlen-256", "results": []}]} | Alfahluzi/bert2bert-model2 | null | [
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| bert2bert-extabs-canonicalcleandata-lr-5e-05-batchsize-4-encmaxlen-512-decmaxlen-256
====================================================================================
10 Epoch Extractive Training + 10 Epoch Abtractive Training
* Dev Set: Canonical Clean Data & Extreme Clean Data
* Encoder max length (input): 512... | [
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text-generation | transformers | # model_storage
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:
* [davidkim205/nox-solar-10.7b-v2](htt... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["davidkim205/nox-solar-10.7b-v2", "chihoonlee10/T3Q-ko-solar-dpo-v6.0"]} | nebchi/solar-merge-slerp | null | [
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] | null | 2024-04-16T06:45:54+00:00 | [] | [] | TAGS
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| # model_storage
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:
* davidkim205/nox-solar-10.7b-v2
* chihoonlee10/T3Q-ko-solar-dpo-v6.0
### ... | [
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text-generation | transformers | # slerp_test2
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:
* [JY623/KoSOLAR-10.7B-merge-v3.1](https... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["JY623/KoSOLAR-10.7B-merge-v3.1", "JY623/KoSOLAR-10.7B-merge-v3.0"]} | JY623/KoSOLAR-10.7B-merge-v3.2 | null | [
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"license:apache-2.0",
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#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-JY623/KoSOLAR-10.7B-merge-v3.1 #base_model-JY623/KoSOLAR-10.7B-merge-v3.0 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # slerp_test2
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:
* JY623/KoSOLAR-10.7B-merge-v3.1
* JY623/KoSOLAR-10.7B-merge-v3.0
### Config... | [
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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. -->
# GUE_prom_prom_300_notata-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_16384_512_22M-L32_all | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_16384\_512\_22M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the eval... | [
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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. -->
# GUE_prom_prom_core_all-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_16384_512_22M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_16384\_512\_22M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/bbc_retrain_STEP0000040 | 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. -->
# meditron-7b-wo-kqa_silver_wogold-sft
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-ll... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-wo-kqa_silver_wogold-sft", "results": []}]} | Minbyul/meditron-7b-wo-kqa_silver_wogold-sft | null | [
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"text-generation-inference... | null | 2024-04-16T06:51:29+00:00 | [] | [] | TAGS
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| meditron-7b-wo-kqa\_silver\_wogold-sft
======================================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8975
Model description
-----------------
More information nee... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_16384_512_22M-L32_all | null | [
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"safetensors",
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"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T06:51:38+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_16384\_512\_22M-L32\_all
================================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the e... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_prom\_prom\_core\_tata-seqsight\_16384\_512\_22M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
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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. -->
# GUE_prom_prom_300_all-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_prom\_prom\_300\_all-seqsight\_16384\_512\_22M-L32\_all
============================================================
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null | null | test
---
license: apache-2.0
---
Description coming soon. | {} | kolinko/mistral-buckets | null | [
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text-generation | transformers |
# StarlingMaths-12B-MoE
StarlingMaths-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/StarlingMaxLimmy2-7B-slerp](https://huggingface.co/allknowingroger/StarlingMaxLimmy... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/StarlingMaxLimmy2-7B-slerp", "Kukedlc/NeuralMaths-Experiment-7b"], "base_model": ["allknowingroger/StarlingMaxLimmy2-7B-slerp", "Kukedlc/NeuralMaths-Experiment-7b"]} | allknowingroger/StarlingMaths-12B-MoE | null | [
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# StarlingMaths-12B-MoE
StarlingMaths-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/StarlingMaxLimmy2-7B-slerp
* Kukedlc/NeuralMaths-Experiment-7b
## Configuration
## Usage
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text-generation | peft |
# 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": "peft", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Erdajt/CodeVerse | null | [
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#peft #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #conversational #license-other #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
# 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": []} | luuluumando/zephyr-7b-finetune | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers | Check G-reen/EXPERIMENT-ORPO-m7b2-1-merged (https://huggingface.co/G-reen/EXPERIMENT-ORPO-m7b2-1-merged) for details. | {} | G-reen/EXPERIMENT-ORPO-m7b2-1-lora | null | [
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text-generation | transformers |
*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
**Benchmarks**
Average 59.62
ARC 59.39
HellaSwag 82.48
MMLU 62.61
TruthfulQA 40.38
Winogrande 78.37
GSM8K 34.5
**Training Details**
Duration: ~9 hours on o... | {"license": "apache-2.0"} | G-reen/EXPERIMENT-ORPO-m7b2-1-merged | null | [
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*This model was trained as part of a series of experiments testing the performance of pure DPO vs SFT vs ORPO, all supported by Unsloth/Huggingface TRL.*
Benchmarks
Average 59.62
ARC 59.39
HellaSwag 82.48
MMLU 62.61
TruthfulQA 40.38
Winogrande 78.37
GSM8K 34.5
Training Details
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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. -->
# with_board_turn_conversation
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-l... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "with_board_turn_conversation", "results": []}]} | wenshicheng97/with_board_turn_conversation | null | [
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|
# with_board_turn_conversation
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-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
### Trai... | [
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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": []} | jspetrisko/mistral-7b-sql-v2 | 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. -->
# jenjenot/whisper_medium_tw_minnan
This model is a fine-tuned version of [openai/whisper_medium](https://huggingface.co/openai/wh... | {"language": ["zh"], "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["thomas0104/nan_tw_soap_opera"], "base_model": "openai/whisper_medium", "model-index": [{"name": "jenjenot/whisper_medium_tw_minnan", "results": []}]} | jenjenot/whisper_medium_tw_minnan | null | [
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|
# jenjenot/whisper_medium_tw_minnan
This model is a fine-tuned version of openai/whisper_medium on the nan_tw_soap_opera dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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": []} | dhruvindia/mistral_7b_guanaco_print_caption | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:02:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/lightblue/Karasu-Mixtral-8x22B-v0.1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Karas... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["openchat/openchat_sharegpt4_dataset"], "base_model": "lightblue/Karasu-Mixtral-8x22B-v0.1", "quantized_by": "mradermacher"} | mradermacher/Karasu-Mixtral-8x22B-v0.1-GGUF | null | [
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"dataset:openchat/openchat_sharegpt4_dataset",
"base_model:lightblue/Karasu-Mixtral-8x22B-v0.1",
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"en"
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-classification | transformers |
MFANN chain of thought experiment developed my makhi burroughs.
3b version here: https://huggingface.co/netcat420/MFANN3bv0.4
BENCHMARKS: avg: 72.23 ARC: 68.86 HellaSwag: 86.65 MMLU: 63.63 TruthfulQA: 70.18 winogrande: 79.72 GSM8K: 64.37
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435f27b2d... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["netcat420/MFANN"], "pipeline_tag": "text-classification"} | netcat420/MFANNv0.5 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"dataset:netcat420/MFANN",
"license:apache-2.0",
"autotrain_compatible",
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"region:us"
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#transformers #safetensors #mistral #text-generation #text-classification #dataset-netcat420/MFANN #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
MFANN chain of thought experiment developed my makhi burroughs.
3b version here: URL
BENCHMARKS: avg: 72.23 ARC: 68.86 HellaSwag: 86.65 MMLU: 63.63 TruthfulQA: 70.18 winogrande: 79.72 GSM8K: 64.37
!image/png
!image/png
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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. -->
# ruBert-base-sberquad-0.01-len_3-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_3-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_3-filtered-negative-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T07:04:56+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.01-len_3-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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