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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": []} | distilabel-internal-testing/criticurus-v0.0 | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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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. -->
# EnTextEmotion
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "base_model": "bert-base-uncased", "model-index": [{"name": "EnTextEmotion", "results": []}]} | Denjamn/EnTextEmotion | null | [
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# EnTextEmotion
This model is a fine-tuned version of bert-base-uncased on the emotion dataset.
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More information needed
## Intended uses & limitations
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-38-a | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # liminerity/Memgpt-3x7b-MOE AWQ
- Model creator: [liminerity](https://huggingface.co/liminerity)
- Original model: [Memgpt-3x7b-MOE](https://huggingface.co/liminerity/Memgpt-3x7b-MOE)
## Model Summary
Memgpt-3x7b-MOE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.rese... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "safetensors", "moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "starsnatched/MemGPT-DPO", "starsnatched/MemGPT-3", "starsnatched/MemGPT"], "... | solidrust/Memgpt-3x7b-MOE-AWQ | null | [
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- Model creator: liminerity
- Original model: Memgpt-3x7b-MOE
## Model Summary
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feature-extraction | transformers | # e-commerce-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000_9062874564
## Model Description
e-commerce-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
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| # e-commerce-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000_9062874564
## Model Description
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w2v-bert-2.0-tamil-gpu-custom.v1
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-tamil-gpu-custom.v1", "results": []}]} | Sajjo/w2v-bert-2.0-tamil-gpu-custom_v5 | null | [
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| w2v-bert-2.0-tamil-gpu-custom.v1
================================
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limit... | [
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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. -->
# HSE_PRAVO_complexity_classifier_deeppavlov
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_deeppavlov", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_deeppavlov | null | [
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|
# HSE_PRAVO_complexity_classifier_deeppavlov
This model is a fine-tuned version of ai-forever/ruBert-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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text-classification | transformers |
# 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": []} | juan-glez29/marIA-ideologiamul-none-label | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- 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. -->
# PolizzeDonut-CR-ProvaCluster3-5Epochs-WD0-1
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-ProvaCluster3-5Epochs-WD0-1", "results": []}]} | tedad09/PolizzeDonut-CR-ProvaCluster3-5Epochs-WD0-1 | null | [
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|
# PolizzeDonut-CR-ProvaCluster3-5Epochs-WD0-1
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informa... | [
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null | peft |
# Low-rank decomposition of [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-WizardLM-2-7B) using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as base
Created using [LoRD](https://github.com/thomasgauthier/LoRD)
rank=128 alpha=32
| {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | interrobang/test-wizardLM-2-LoRA | null | [
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# Low-rank decomposition of amazingvince/Not-WizardLM-2-7B using mistralai/Mistral-7B-v0.1 as base
Created using LoRD
rank=128 alpha=32
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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": []} | doxgxxn/gemma_prompt_recovery2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # LLaMA 7b ICTU
This model is based on [VinaLLaMA](vilm/vinallama-7b-chat)
The model is for educational purposes only.
## Information
Prompt template (chatml, similar to the base model)
```
<|im_start|>system
Bạn là một trợ lí AI hữu ích. Hãy trả lời người dùng một cách chính xác.
<|im_end|>
<|im_start|>user
Thủ đô c... | {"language": ["vi"], "license": "mit", "library_name": "transformers", "datasets": ["gingdev/ictu-lecturers", "gingdev/ViHealthQA-small"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | gingdev/llama7b-ictu-v2 | null | [
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| # LLaMA 7b ICTU
This model is based on VinaLLaMA
The model is for educational purposes only.
## Information
Prompt template (chatml, similar to the base model)
Author: Tran Xuan Thanh
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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. -->
# imdb-spoiler-distilbertOrigDataset6040
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "imdb-spoiler-distilbertOrigDataset6040", "results": []}]} | Zritze/imdb-spoiler-distilbertOrigDataset6040 | null | [
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| imdb-spoiler-distilbertOrigDataset6040
======================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7032
* Accuracy: 0.7019
* Recall: 0.5778
* Precision: 0.6413
* F1: 0.6079
Model descri... | [
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text-to-image | diffusers | ### test Dreambooth model trained by studymath2024 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | studymath2024/test | null | [
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| ### test Dreambooth model trained by studymath2024 with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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text-generation | transformers | This is a conversion of [cyberagent/calm2-7b](https://huggingface.co/cyberagent/calm2-7b) to safetensors so you don't have to worry about getting hacked by downloading dirty pickled files.
# Original model card:
# CyberAgentLM2-7B (CALM2-7B)
## Model Description
CyberAgentLM2 is a decoder-only language model pre-tr... | {"language": ["ja", "en"], "license": "apache-2.0", "tags": ["japanese", "causal-lm"], "inference": false} | mpasila/calm2-7b-safetensors | null | [
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| This is a conversion of cyberagent/calm2-7b to safetensors so you don't have to worry about getting hacked by downloading dirty pickled files.
# Original model card:
# CyberAgentLM2-7B (CALM2-7B)
## Model Description
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | lacknerm/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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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": []} | ManikanthaDandi/idefics-9b | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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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]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/sl_23 | 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# agusg6/img_classifier_4CLA
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "agusg6/img_classifier_4CLA", "results": []}]} | agusg6/img_classifier_4CLA | null | [
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#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| agusg6/img\_classifier\_4CLA
============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.2902
* Validation Loss: 1.2999
* Train Accuracy: 0.368
* Epoch: 4
Model description
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 3e-05, 'decay\\_steps': 5620, 'end\\_learni... | [
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image-classification | transformers |
# 60fishmodel
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingp... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | NeroZ02/60fishmodel | null | [
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"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
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"region:us"
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#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# 60fishmodel
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images
#### Anchovy
!Anchovy
#### Angelfish
!Angelfish
#### Anglerfish
!Anglerfish
#### Archerfish
!Archerfish
##... | [
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"#### Angelfish\n\n!Angelfish",
"#### Anglerfish\n\n!Anglerfish",
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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": []} | Anonymous7654/gpt2-returez-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T11:00:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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 | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | anrhi/mobile_v2_new_fake_image_detection | null | [
"keras",
"region:us"
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#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jin-cheon/dummy-model | null | [
"transformers",
"safetensors",
"camembert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #camembert #fill-mask #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 | transformers | # neural3_ghost_08_08_07_05_02
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:
* model_llm/ghost-7b-v0... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | TunyTrinh/neural3_ghost_08_08_07_05_02 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #mistral #text-generation #mergekit #merge #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # neural3_ghost_08_08_07_05_02
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:
* model_llm/ghost-7b-v0.9.1
* model_llm/neural-chat-7b-v3-3
... | [
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null | nemo |
## How to Get Started with the Model
Use the code below to get started with the model.
```
from nemo.collections.asr.models.ctc_bpe_models import EncDecCTCModelBPE
asr_model = EncDecCTCModelBPE.from_pretrained("DigitalUmuganda/afrivoice_kinyarwanda_health_domain_stt")
transcription = asr_model.transcribe(paths2a... | {"language": ["rw"]} | DigitalUmuganda/afrivoice_kinyarwanda_health_domain_stt | null | [
"nemo",
"rw",
"region:us"
] | null | 2024-04-18T11:02:05+00:00 | [] | [
"rw"
] | TAGS
#nemo #rw #region-us
|
## How to Get Started with the Model
Use the code below to get started with the model.
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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. -->
# multi_news_model
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-base", "model-index": [{"name": "multi_news_model", "results": []}]} | Sif10/multi_news_model | null | [
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"safetensors",
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"base_model:google-t5/t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google-t5/t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| multi\_news\_model
==================
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1888
* Rouge1: 0.1572
* Rouge2: 0.0532
* Rougel: 0.1196
* Rougelsum: 0.1196
* Gen Len: 19.0
Model description
-----------------
... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# SirSkandrani/my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilroberta-base", "model-index": [{"name": "SirSkandrani/my_awesome_eli5_mlm_model", "results": []}]} | SirSkandrani/my_awesome_eli5_mlm_model | null | [
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#transformers #tf #roberta #fill-mask #generated_from_keras_callback #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| SirSkandrani/my\_awesome\_eli5\_mlm\_model
==========================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.6372
* Validation Loss: 1.4960
* Epoch: 3
Model description
---------------... | [
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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. -->
# Dist5-small-greeceWildfire
This model is a fine-tuned version of DisT5 on an unknown dataset.
It achieves the following results ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "Dist5-small-greeceWildfire", "results": []}]} | Piyyussh/Dist5-small-greeceWildfire | null | [
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|
# Dist5-small-greeceWildfire
This model is a fine-tuned version of DisT5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6758
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More infor... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evalu... | [
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null | null | # Model card for pytorch_mobilevit_xs
A PyTorch implementation of MobileViT-XS model, based on [Timm](https://github.com/huggingface/pytorch-image-models).
The model weights were taken from [timm/mobilevit_xs.cvnets_in1k](https://huggingface.co/timm/mobilevit_xs.cvnets_in1k).
For further insights into the model's im... | {"license": "apache-2.0", "datasets": ["imagenet-1k"]} | SSI-DNN/pytorch_mobilevit_xs | null | [
"safetensors",
"dataset:imagenet-1k",
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#safetensors #dataset-imagenet-1k #license-apache-2.0 #region-eu
| # Model card for pytorch_mobilevit_xs
A PyTorch implementation of MobileViT-XS model, based on Timm.
The model weights were taken from timm/mobilevit_xs.cvnets_in1k.
For further insights into the model's implementation details, please refer to MCT Model Garden - MobileViT-XS
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EinsZwo/nlid_mlm_supertag050-fullset-sanitysaveaftertrain | null | [
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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audio-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. -->
# ipad-sample
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "ipad-sample", "results": []}]} | Anguuuuus/ipad-sample | null | [
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| ipad-sample
===========
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5112
* Accuracy: 0.8636
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allenai/tulu-2-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/tulu-2-70b-i1-GGUF
## ... | {"language": ["en"], "library_name": "transformers", "datasets": ["allenai/tulu-v2-sft-mixture"], "base_model": "allenai/tulu-2-70b", "quantized_by": "mradermacher"} | mradermacher/tulu-2-70b-GGUF | null | [
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#transformers #gguf #en #dataset-allenai/tulu-v2-sft-mixture #base_model-allenai/tulu-2-70b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | peft |
# Model Card for Model ID
This LoRA model exclusively utilizes the unit tests from vLLM, and all the `lora_B` weights are initialized to zero.
### Framework versions
- PEFT 0.10.0 | {"library_name": "peft", "base_model": "baichuan-inc/Baichuan-7B"} | jeeejeee/baichuan7b-zero-init | null | [
"peft",
"safetensors",
"base_model:baichuan-inc/Baichuan-7B",
"region:us"
] | null | 2024-04-18T11:12:54+00:00 | [] | [] | TAGS
#peft #safetensors #base_model-baichuan-inc/Baichuan-7B #region-us
|
# Model Card for Model ID
This LoRA model exclusively utilizes the unit tests from vLLM, and all the 'lora_B' weights are initialized to zero.
### Framework versions
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | anrhi/mobile_v2__fake_image_M_detection | null | [
"keras",
"region:us"
] | null | 2024-04-18T11:13:46+00:00 | [] | [] | TAGS
#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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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. -->
# gpt-neo-125m_LAMA_TREx_finetuning_MAGNET
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m_LAMA_TREx_finetuning_MAGNET", "results": []}]} | KimByeongSu/gpt-neo-125m_LAMA_TREx_finetuning_MAGNET | null | [
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|
# gpt-neo-125m_LAMA_TREx_finetuning_MAGNET
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/Harpy-2-7B-TIES
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Endevor/InfinityRP-v1-7B", "macadeliccc/WestLake-7B-v2-laser-truthy-dpo", "abideen/AlphaMonarch-laser"], "base_model": "DreadPoor/Harpy-2-7B-TIES", "quantized_by": "mradermacher"} | mradermacher/Harpy-2-7B-TIES-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
-----
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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": []} | Gordon119/TAT_TD-openai-whisper-large-v2-mix-with-zh-TAT-epoch5-total5epoch | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
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## Model Details
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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": []} | domenicrosati/adversarial_loss_lr_1e-5_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_8 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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... | {"license": "apache-2.0", "library_name": "transformers"} | chihoonlee10/T3Q-Mistral-UB-DPO-v1.0 | null | [
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null | transformers |
# Model description
This is a multivector retrieval model that is built upon the efficient [XTR](https://proceedings.neurips.cc/paper_files/paper/2023/hash/31d997278ee9069d6721bc194174bb4c-Abstract-Conference.html) architecture. The model utilizes [t5-base](https://huggingface.co/t5-base) encoder, and is finetuned on... | {"license": "apache-2.0"} | PrimeQA/XTR-t5-base-40k | null | [
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# Model description
This is a multivector retrieval model that is built upon the efficient XTR architecture. The model utilizes t5-base encoder, and is finetuned on MSMarco dataset with XTR objective.
# Overview
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*Language*: English \
*Task*: Multi-vector retrieval \
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | lacknerm/ppo-Pyramids | null | [
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# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of distilbert-base-uncased on the sentiment140 (https://huggingface.co/datasets/senti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "results", "results": []}]} | Mortezaem/Sentiment_Analysis_PEFT_on_DistilBert | null | [
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| results
=======
This model is a fine-tuned version of distilbert-base-uncased on the sentiment140 (URL dataset.
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null | null | # V Kapseln Deutschland Erfahrungen - Volt V Performance Kapseln Inhaltsstoffe, Kaufen
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Driseri/autotrain-10mt0-740n1 | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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": []} | Wimflorijn/kadaster-query-llama2 | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0417MADP5
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0417MADP5", "results": []}]} | Litzy619/V0417MADP5 | null | [
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| V0417MADP5
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3114
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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text-classification | transformers | This is a final year project\n
Trained with dataset from kaggle.com\n
Source:https://www.kaggle.com/datasets/ruchi798/stress-analysis-in-social-media | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["asmaabid/dreaddit-train", "asmaabid/dreaddit-test"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | jnyx74/stress-prediction | null | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MikeGreen2710/model_3_to_train_on_duc_ner | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# sentiment-roberta-ALLSAMPLES-5-epochsValidation
This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "sentiment-roberta-ALLSAMPLES-5-epochsValidation", "results": []}]} | AndreiUrsu/sentiment-roberta-ALLSAMPLES-5-epochsValidation | null | [
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|
# sentiment-roberta-ALLSAMPLES-5-epochsValidation
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2944
- Accuracy: 0.9502
- F1: 0.9503
## Model description
More information needed
## Intended uses & limitations
More inf... | [
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text-generation | transformers |
# Lumina-RP
Lumina-4 is a Mixture of Experts (MoE) made with [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing).
This model has improved roleplaying and storytelling from [Lumina-3.5](https://huggingface.co/Ppoyaa/Lumina-3.5) while still retaining its strength. A sli... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit"]} | Ppoyaa/Lumina-4 | null | [
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| Lumina-RP
=========
Lumina-4 is a Mixture of Experts (MoE) made with LazyMergekit.
This model has improved roleplaying and storytelling from Lumina-3.5 while still retaining its strength. A slight improvement on the Open LLM leaderboard.
It uses a context window of up to 32k.
Response Examples
=================
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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. -->
# layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-cord_100", "results": []}]} | MuryTheReaper/layoutlmv3-finetuned-cord_100 | null | [
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|
# layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-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
### Trainin... | [
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | xiaoliy2/gemma-7b-it-ft-model-1 | null | [
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|
# Uploaded model
- Developed by: xiaoliy2
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit
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<img src="URL width="200"/>
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="AGI-CEO/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | AGI-CEO/q-FrozenLake-v1-4x4-noSlippery | null | [
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"q-learning",
"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | null | Какво е Power Pulse XXL Таблетки?
Power Pulse XXL Цена е водеща естествена добавка, изработена от смес от билкови екстракти, витамини и минерали, известни със своите подмладяващи свойства. Проектиран да поддържа жизненост, издръжливост и жизненост, Power Pulse XXL прегледи предлага естествен и устойчив подход за повиш... | {"license": "apache-2.0"} | PowerPulseXXL/PowerPulseXXL | null | [
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#license-apache-2.0 #region-us
| Какво е Power Pulse XXL Таблетки?
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Resi/layfi-docvqa-v1 | null | [
"transformers",
"safetensors",
"layoutlmv3",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T11:57:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #layoutlmv3 #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-large-xsum-finetuned-numhg
This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-xsum", "model-index": [{"name": "bart-large-xsum-finetuned-numhg", "results": []}]} | theoddssinging/bart-large-xsum-finetuned-numhg | null | [
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-xsum #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart-large-xsum-finetuned-numhg
===============================
This model is a fine-tuned version of facebook/bart-large-xsum on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8425
* Rouge1: 46.9988
* Rouge2: 22.3982
* Rougel: 41.8923
* Rougelsum: 42.0302
* Gen Len: 17.1188
... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **MountainCar-v0**
This is a trained model of a **PPO** agent playing **MountainCar-v0**
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": ["MountainCar-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCar-v0", "type": "Mounta... | chirbard/ppo-MountainCar-v0 | null | [
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"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T11:58:52+00:00 | [] | [] | TAGS
#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing MountainCar-v0
This is a trained model of a PPO agent playing MountainCar-v0
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="AGI-CEO/Taxi-v3_Q-Learning", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fal... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3_Q-Learning", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value":... | AGI-CEO/Taxi-v3_Q-Learning | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T11:59:34+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## 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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek_LORA_HardArith_Interm | null | [
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"safetensors",
"llama",
"arxiv:1910.09700",
"base_model:deepseek-ai/deepseek-coder-1.3b-instruct",
"region:us"
] | null | 2024-04-18T11:59:36+00:00 | [
"1910.09700"
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#peft #safetensors #llama #arxiv-1910.09700 #base_model-deepseek-ai/deepseek-coder-1.3b-instruct #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:
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#... | [
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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"]} | abdullahfurquan/merged_final | 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]:
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translation | null |
# DevWorld/Gemago-2b-Q4_K_M-GGUF
This model was converted to GGUF format from [`DevWorld/Gemago-2b`](https://huggingface.co/DevWorld/Gemago-2b) 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.co/DevWorld... | {"language": ["ko", "en"], "license": ["apache-2.0", "gemma"], "tags": ["gemma", "llama-cpp", "gguf-my-repo"], "datasets": ["traintogpb/aihub-koen-translation-integrated-base-10m"], "pipeline_tag": "translation"} | DevWorld/Gemago-2b-Q4_K_M-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
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"en",
"dataset:traintogpb/aihub-koen-translation-integrated-base-10m",
"license:apache-2.0",
"license:gemma",
"region:us"
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"ko",
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|
# DevWorld/Gemago-2b-Q4_K_M-GGUF
This model was converted to GGUF format from 'DevWorld/Gemago-2b' 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: You can... | [
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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": []} | Emma-Hash/gemma-Code-Instruct-Finetune-test | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Description
[MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ](https://huggingface.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ) is a quantized (AWQ) version of [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)
## How to use
### Install the necessary packages
```... | {"tags": ["finetuned", "quantized", "4-bit", "AWQ", "text-generation", "mixtral"], "model_name": "Mixtral-8x22B-Instruct-v0.1-AWQ", "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "inference": false, "model_creator": "mistralai", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"} | MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ | null | [
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| # Description
MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ is a quantized (AWQ) version of mistralai/Mixtral-8x22B-Instruct-v0.1
## How to use
### Install the necessary packages
### Example Python code
Results:
| [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MikeGreen2710/model_1_address | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MikeGreen2710/model_2_to_train_on_duc_ner | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/N8Programs/Coxcomb
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a wee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["N8Programs/CreativeGPT"], "base_model": "N8Programs/Coxcomb", "quantized_by": "mradermacher"} | mradermacher/Coxcomb-GGUF | null | [
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#transformers #gguf #en #dataset-N8Programs/CreativeGPT #base_model-N8Programs/Coxcomb #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | # AntlerStar-RP
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/AntlerStar-RP-GGUF)
## 概要
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
[Aratako/Antler-7B-RP-v3](https://huggingface.co/Aratako/Antler-7B-RP-v3)と[Aratako/Japanese-S... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences", "nsfw"], "base_model": ["Aratako/Antler-7B-RP-v3", "Aratako/Japanese-Starling-ChatV-7B-RP", "senseable/WestLake-7B-v2", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "SanjiWatsuki/Silicon-Maid-7B", ... | Aratako/AntlerStar-RP | null | [
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"nsfw",
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"base_model:Aratako/Antler-7B-RP-v3",
"base_model:Aratako/Japanese-Starling-ChatV-7B-RP",
"base_model:senseable/WestLake-7B-v2",
... | null | 2024-04-18T12:18:28+00:00 | [
"2311.03099",
"2306.01708"
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"ja"
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#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #nsfw #ja #arxiv-2311.03099 #arxiv-2306.01708 #base_model-Aratako/Antler-7B-RP-v3 #base_model-Aratako/Japanese-Starling-ChatV-7B-RP #base_model-senseable/WestLake-7B-v2 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #base_mod... | # AntlerStar-RP
GGUF版はこちら/Click here for the GGUF version
## 概要
This is a merge of pre-trained language models created using mergekit.
Aratako/Antler-7B-RP-v3とAratako/Japanese-Starling-ChatV-7B-RPの2つのモデルをベースにマージして作成したロールプレイ用モデルです。
## マージの詳細
まず、Aratako/Antler-7B-RP-v3とAratako/Japanese-Starling-ChatV-7B-RPの2モデルに対し、以下4... | [
"# AntlerStar-RP\nGGUF版はこちら/Click here for the GGUF version",
"## 概要\nThis is a merge of pre-trained language models created using mergekit.\n\nAratako/Antler-7B-RP-v3とAratako/Japanese-Starling-ChatV-7B-RPの2つのモデルをベースにマージして作成したロールプレイ用モデルです。",
"## マージの詳細\nまず、Aratako/Antler-7B-RP-v3とAratako/Japanese-Starling-ChatV... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/aevalone/Medistral-7B-Finetuned
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "base_model": "aevalone/Medistral-7B-Finetuned", "quantized_by": "mradermacher"} | mradermacher/Medistral-7B-Finetuned-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:aevalone/Medistral-7B-Finetuned",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T12:20:26+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-aevalone/Medistral-7B-Finetuned #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 #en #base_model-aevalone/Medistral-7B-Finetuned #endpoints_compatible #region-us \n"
] | [
37
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"TAGS\n#transformers #gguf #en #base_model-aevalone/Medistral-7B-Finetuned #endpoints_compatible #region-us \n"
] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="rwr20/rwr_taxiv3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "rwr_taxiv3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +... | rwr20/rwr_taxiv3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T12:21:24+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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] |
text-generation | transformers | # neural3_ghost_08_08_04_02_00
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:
* model_llm/neural-chat... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | TunyTrinh/neural3_ghost_08_08_04_02_00 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T12:23:08+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # neural3_ghost_08_08_04_02_00
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:
* model_llm/neural-chat-7b-v3-3
* model_llm/ghost-7b-v0.9.1
... | [
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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": []} | existence-master/bloomify-generation-mistral7b-lora-0.6k | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T12:26:03+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 | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | llm1234/lang | null | [
"peft",
"safetensors",
"llama",
"region:us"
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#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggi... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-10 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
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"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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|
# robust_llm_pythia-14m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information 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. -->
# AraBERT_token_classification__AraEval24_trun_concat
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https:/... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_trun_concat", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_trun_concat | null | [
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#transformers #pytorch #bert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| AraBERT\_token\_classification\_\_AraEval24\_trun\_concat
=========================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3885
* Precision: 0.0303
* Recall: 0.0554
* F... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_ian-022_IMDB_n-its-3
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/El... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_ian-022_IMDB_n-its-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_ian-022_IMDB_n-its-3 | null | [
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|
# robust_llm_pythia-1b_ian-022_IMDB_n-its-3
This model is a fine-tuned version of EleutherAI/pythia-1b 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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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 Hindi - PK
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-smal... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hindi - PK", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Au... | PraveenKishore/whisper-small-hi | null | [
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| Whisper Small Hindi - PK
========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2958
* Wer Ortho: 34.9124
* Wer: 18.7560
Model description
-----------------
More information needed
I... | [
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audio-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Gaivoronsky/wav2vec2-base-classifier-logo | null | [
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"arxiv:1910.09700",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- 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. -->
# my_awesome_billsum_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | gokul-a-krishnan/my_awesome_billsum_model | null | [
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"tensorboard",
"safetensors",
"t5",
"text2text-generation",
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"base_model:google-t5/t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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| my\_awesome\_billsum\_model
===========================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | QuantumInstability/Reinforce-CartPole | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-18T12:39:26+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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] | [
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
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": []} | tb2pi-persistent/Llama-2-7b-chat-hf-tb2pi-peft-v7 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T12:39:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
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": []} | HachiML/Swallow-MS-7b-v0.1-ChatSkill-LAB-Evo-v0.3 | null | [
"transformers",
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"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #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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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #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/icefog72/WestIceLemonTeaRP-32k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": "icefog72/WestIceLemonTeaRP-32k", "quantized_by": "mradermacher"} | mradermacher/WestIceLemonTeaRP-32k-GGUF | null | [
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"base_model:icefog72/WestIceLemonTeaRP-32k",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
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] | TAGS
#transformers #gguf #mergekit #merge #alpaca #mistral #not-for-all-audiences #nsfw #en #base_model-icefog72/WestIceLemonTeaRP-32k #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | 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": []} | baris-yazici/binary_liar_bigscience_bloomz-1b1_PROMPT_TUNING_CAUSAL_LM | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T12:43:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ehsanl/e5-base-chunk-meta | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T12:44:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | areegtarek/llmcxr_mimic-4bit | null | [
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"safetensors",
"gpt_neox",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-18T12:45:42+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | qminh369/Cross-Encoder-LLamaIndex-Demo | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Language(s) (NLP):
- License... | [
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translation | null |
Q6_K quant of [lmg-anon/vntl-7b-v0.3.1-hf](https://huggingface.co/lmg-anon/vntl-7b-v0.3.1-hf)
SillyTavern presets are provided.
This repository contains some GGUF quantizations of the merge of the [experimental VNTL v0.3.1 lora](https://huggingface.co/lmg-anon/vntl-7b-v0.3.1-lora).
This is a prompt example:
```
<... | {"language": ["en", "ja"], "license": "llama2", "datasets": ["lmg-anon/VNTL-v2.5-1k"], "pipeline_tag": "translation"} | Casual-Autopsy/vntl-7b-v0.3.1-Q6_K.gguf | null | [
"gguf",
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"license:llama2",
"region:us"
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"en",
"ja"
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#gguf #translation #en #ja #dataset-lmg-anon/VNTL-v2.5-1k #license-llama2 #region-us
|
Q6_K quant of lmg-anon/vntl-7b-v0.3.1-hf
SillyTavern presets are provided.
This repository contains some GGUF quantizations of the merge of the experimental VNTL v0.3.1 lora.
This is a prompt example:
The generated translation for that prompt, with temperature 0, is:
| [] | [
"TAGS\n#gguf #translation #en #ja #dataset-lmg-anon/VNTL-v2.5-1k #license-llama2 #region-us \n"
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"TAGS\n#gguf #translation #en #ja #dataset-lmg-anon/VNTL-v2.5-1k #license-llama2 #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": []} | areegtarek/llmcxr_mimic-8bit | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-18T12:49:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | null |
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object-detection | 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": []} | mali17361/detr-finetuned-table-v1 | null | [
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# Model Card for Model ID
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null | 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. -->
# robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-10 | null | [
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# robust_llm_pythia-70m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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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": []} | areegtarek/llmcxr_mimic-8bit-v1 | null | [
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