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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| **Repository (Llama 3 Family)** | **Avg Acc.** | **OpenB... | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5 | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| **Repository (Llama 3 Family)** | **Avg Acc.** | **OpenB... | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0 | null | [
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| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-MiniLM-L3-v2", "widget": [{"text": "Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 trip alarm"}, {"text": "Tiong Bahru Plaza, D... | Varun1010/all-MiniLM-L6-v2-polaris-tb-new-v1 | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L3-v2 as the Sentence Transformer embedding model. A LogisticRegression in... | [
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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": []} | superiort/EEVE-Korean-Instruct-10.8B-v1.0_100QA_10epochs | 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 |
# OpenLLaMA: An Open Reproduction of LLaMA
**TL;DR**: we are releasing our public preview of OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA. We are releasing a series of 3B, 7B and 13B models trained on different data mixtures. Our model weights can serve as the drop in replacement of ... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["tiiuae/falcon-refinedweb", "bigcode/starcoderdata", "togethercomputer/RedPajama-Data-1T"]} | titanbot/ct2-int8-open-llama-7b-v2 | null | [
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| OpenLLaMA: An Open Reproduction of LLaMA
========================================
TL;DR: we are releasing our public preview of OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA. We are releasing a series of 3B, 7B and 13B models trained on different data mixtures. Our model weights can s... | [
"### Loading the Weights with Hugging Face Transformers\n\n\nPreview checkpoints can be directly loaded from Hugging Face Hub. Please note that it is advised to avoid using the Hugging Face fast tokenizer for now, as we’ve observed that the auto-converted fast tokenizer sometimes gives incorrect tokenizations. This... | [
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null | null | Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
WARNING: There have been reports that GGUF made using llama.cpp might have tokenization issues and more prone to making mistakes. Until this is fixed we recommend using the A... | {"license": "apache-2.0"} | AwanLLM/Meta-Llama-3-8B-Instruct-Dolfin-v0.1-GGUF | null | [
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| Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
URL
WARNING: There have been reports that GGUF made using URL might have tokenization issues and more prone to making mistakes. Until this is fixed we recommend using the AWQ model instead if you need a quantized version.
We don't ... | [] | [
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text-generation | transformers | # [MaziyarPanahi/Poppy_Porpoise-v0.6-L3-8B-GGUF](https://huggingface.co/MaziyarPanahi/Poppy_Porpoise-v0.6-L3-8B-GGUF)
- Model creator: [ChaoticNeutrals](https://huggingface.co/ChaoticNeutrals)
- Original model: [ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B)... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "llama", "text-generation", "merge", "mergekit", "conversational", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us", "text-generation"], "model_name": "Poppy_Porpoi... | MaziyarPanahi/Poppy_Porpoise-v0.6-L3-8B-GGUF | null | [
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| # MaziyarPanahi/Poppy_Porpoise-v0.6-L3-8B-GGUF
- Model creator: ChaoticNeutrals
- Original model: ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B
## Description
MaziyarPanahi/Poppy_Porpoise-v0.6-L3-8B-GGUF contains GGUF format model files for ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B.
### About GGUF
GGUF is a new format i... | [
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image-text-to-text | xtuner |
---
**Notice:** This repository hosts the [`xtuner/llava-llama-3-8b-v1_1-hf`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-hf) model, which has been specifically modified to address compatibility issues with the pure `transformers` library. The original model configuration and index files have been manually ad... | {"license": "llama3", "library_name": "xtuner", "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | Seungyoun/llava-llama-3-8b-hf | null | [
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|
---
Notice: This repository hosts the 'xtuner/llava-llama-3-8b-v1\_1-hf' model, which has been specifically modified to address compatibility issues with the pure 'transformers' library. The original model configuration and index files have been manually adjusted to ensure seamless integration and functionality wit... | [] | [
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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_test_p2
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
-... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "bart_test_p2", "results": []}]} | ypl/bart_test_p2 | null | [
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| bart\_test\_p2
==============
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0076
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Trainin... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-gpo-renew2-b0.001-extra-v2-i1
This model is a fine-tuned version of [DUAL-GPO/phi-2-gpo-renew2-b0.001-i0](https://huggingf... | {"license": "mit", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-gpo-renew2-b0.001-extra-v2-i1", "results": []}]} | DUAL-GPO-2/phi-2-gpo-renew2-b0.001-extra-v2-i1 | null | [
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| phi-2-gpo-renew2-b0.001-extra-v2-i1
===================================
This model is a fine-tuned version of DUAL-GPO/phi-2-gpo-renew2-b0.001-i0 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
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* Loss: 0.0388
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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": []} | DBangshu/GPT2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# solar_detection_microsoft_resnet
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "solar_detection_microsoft_resnet", "results": []}]} | michalszy888/solar_detection_microsoft_resnet | null | [
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|
# solar_detection_microsoft_resnet
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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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-31m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vistral-7B_finetuned_A100_April24th
This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co/... | {"license": "afl-3.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Viet-Mistral/Vistral-7B-Chat", "model-index": [{"name": "vistral-7B_finetuned_A100_April24th", "results": []}]} | Kudod/vistral-7B_finetuned_A100_April24th | null | [
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"license:afl-3.0",
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| vistral-7B\_finetuned\_A100\_April24th
======================================
This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1997
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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question-answering | 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. -->
# Maxnotmarx/test_model1
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "Maxnotmarx/test_model1", "results": []}]} | Maxnotmarx/test_model1 | null | [
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| Maxnotmarx/test\_model1
=======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.1436
* Validation Loss: 1.1968
* Epoch: 2
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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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_mz-130_PasswordMatch_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-70m](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-70m_mz-130_PasswordMatch_n-its-10-seed-0
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
## Training and evaluation data
More information needed
## Traini... | [
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text-generation | transformers | # GALAXY-16B-v1.0
## Technical notes
- 72 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)
- 16B parameters
- model created as a extension of depth upscaling procedure used for SOLAR by upstage
## Results
- model can... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"]} | TeeZee/GALAXY-16B-v1.0-bpw5.0-h8-exl2 | null | [
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"dataset:Open-Orca/SlimOrca",
"dataset:MinervaAI/Aesir-Preview",
"dataset:allenai/ultrafeedback_binar... | null | 2024-04-24T08:17:27+00:00 | [] | [
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!image/png
## Technical notes
- 72 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)
- 16B parameters
- model created as a extension of depth upscaling procedure used for SOLAR by upstage
## Results
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_Swahili_3.75b
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en", "sw"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_Swahili_3.75b"} | LeroyDyer/CyberTron_Swahili_Alpaca | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_MiniTron_Swahili_3.75b
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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": []} | eddyejembi/Gemma_fine-tunned | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/kenshinx/Llama-2-7b-chat-xgpt
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["kenshinx/netlab-blogs"], "base_model": "kenshinx/Llama-2-7b-chat-xgpt", "quantized_by": "mradermacher"} | mradermacher/Llama-2-7b-chat-xgpt-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | DocDuck/FRED-T5-large | null | [
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"region:us"
] | null | 2024-04-24T08:25:39+00:00 | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | ProrabVasili/a2c-PandaReachDense-v3 | null | [
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"PandaReachDense-v3",
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"reinforcement-learning",
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"region:us"
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-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. -->
# stocks
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "stocks", "results": []}]} | adriansanz/2404v1 | null | [
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| stocks
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6733
* Accuracy: 0.8109
* Precision: 0.8127
* Recall: 0.8109
* F1: 0.8107
* Ratio: 0.5378
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 20\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | jhtop88/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2085
* Accuracy: 0.9215
* F1: 0.9213
Model description
-----------------
Mo... | [
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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_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-1 | null | [
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"region:us"
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|
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-1
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
## Training and evaluation data
More information needed
## Training proced... | [
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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-UltimaProvaCluster-Cluster5di7-5epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster5di7-5epochs", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster5di7-5epochs | null | [
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|
# PolizzeDonut-UltimaProvaCluster-Cluster5di7-5epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | # Gemma Model Card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the 7B base version of the Gemma model. You can also visit the model card of the [2B base model](https://huggingface.co/google/gemma-2b), [7B instruct model](https://huggingface.co/google/gemma-7b-it), and [2B ... | {"license": "gemma"} | Lagstill/Varsity_module2_bot | null | [
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================
Model Page: Gemma
This model card corresponds to the 7B base version of the Gemma model. You can also visit the model card of the 2B base model, 7B instruct model, and 2B instruct model.
Resources and Technical Documentation:
* Gemma Technical Report
* Responsible Generative AI... | [
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zero-shot-classification | adapter-transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {"language": ["am", "ab"], "license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["mlabonne/orpo-dpo-mix-40k", "gretelai/synthetic_text_to_sql", "HuggingFaceFW/fineweb"], "metrics": ["accuracy"], "pipeline_tag": "zero-shot-classification"} | Saba-PornStar/Fozhan-girls-21age | null | [
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|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_Swahili_3.75b
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_Swahili_3.75b"} | LeroyDyer/Alpaca_Swahili_LORA | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/51n46wk | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-0 | null | [
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"region:us"
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|
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-0
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
## Training and evaluation data
More information needed
## Training proced... | [
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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": "openai/whisper-base"} | ygaci/whisper-base-fr_common_voice_16_new_3 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-generation", "model-index": [{"name": "mistral-pennlaine-finetune", "results": []}]} | Pennlaine/mistral-v0.1-finetune-entities-extraction | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
mistral-pennlaine-finetune
==========================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4428
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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null | null |
# DavidAU/HelloNurse-11b-Q6_K-GGUF
This model was converted to GGUF format from [`MarsupialAI/HelloNurse-11b`](https://huggingface.co/MarsupialAI/HelloNurse-11b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggi... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw", "merge", "mistral", "llama-cpp", "gguf-my-repo"]} | DavidAU/HelloNurse-11b-Q6_K-GGUF | null | [
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"region:us"
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|
# DavidAU/HelloNurse-11b-Q6_K-GGUF
This model was converted to GGUF format from 'MarsupialAI/HelloNurse-11b' 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:
Not... | [
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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": ["unsloth"]} | illikea/football3 | null | [
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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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text-to-image | diffusers | # Kandinsky-3: Text-to-image Diffusion Model
[Post](https://habr.com/ru/companies/sberbank/articles/775590/) | [Generate](https://fusionbrain.ai) | [Telegram-bot](https://t.me/kandinsky21_bot) | [Report]
## Description:
Kandinsky 3.0 is an open-source text-to-image diffusion model built upon t... | {"license": "apache-2.0", "pipeline_tag": "text-to-image", "inference": false} | Shaleen123/kandinksy-3 | null | [
"diffusers",
"safetensors",
"text-to-image",
"license:apache-2.0",
"diffusers:Kandinsky3Pipeline",
"region:us"
] | null | 2024-04-24T08:40:37+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #license-apache-2.0 #diffusers-Kandinsky3Pipeline #region-us
| # Kandinsky-3: Text-to-image Diffusion Model
Post | Generate | Telegram-bot | [Report]
## Description:
Kandinsky 3.0 is an open-source text-to-image diffusion model built upon the Kandinsky2-x model family. In comparison to its predecessors, Kandinsky 3.0 incorporates more data and specifically rela... | [
"# Kandinsky-3: Text-to-image Diffusion Model\n\n\n\nPost | Generate | Telegram-bot | [Report]",
"## Description:\n\nKandinsky 3.0 is an open-source text-to-image diffusion model built upon the Kandinsky2-x model family. In comparison to its predecessors, Kandinsky 3.0 incorporates more data and sp... | [
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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_mz-130_PasswordMatch_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-14m](https:/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-4
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
## Traini... | [
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text-generation | transformers |
# StableLM-Tuned-Alpha
## Model Description
`StableLM-Tuned-Alpha` is a suite of 3B and 7B parameter decoder-only language models built on top of the `StableLM-Base-Alpha` models and further fine-tuned on various chat and instruction-following datasets.
## Usage
Get started chatting with `StableLM-Tuned-Alpha` by ... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["causal-lm"], "datasets": ["dmayhem93/ChatCombined", "tatsu-lab/alpaca", "nomic-ai/gpt4all_prompt_generations", "Dahoas/full-hh-rlhf", "jeffwan/sharegpt_vicuna", "HuggingFaceH4/databricks_dolly_15k"]} | titanbot/ct2-int8-stablelm-7b | null | [
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"dataset:jeffwan/sharegpt_vicuna",
"dataset:HuggingFaceH4/databricks_dolly_15k",
"licens... | null | 2024-04-24T08:41:13+00:00 | [] | [
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] | TAGS
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====================
Model Description
-----------------
'StableLM-Tuned-Alpha' is a suite of 3B and 7B parameter decoder-only language models built on top of the 'StableLM-Base-Alpha' models and further fine-tuned on various chat and instruction-following datasets.
Usage
-----
Get started ... | [
"### Training Dataset\n\n\n'StableLM-Tuned-Alpha' models are fine-tuned on a combination of five datasets:\nAlpaca, a dataset of 52,000 instructions and demonstrations generated by OpenAI's 'text-davinci-003' engine.\nGPT4All Prompt Generations, which consists of 400k prompts and responses generated by GPT-4;\nAnth... | [
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text-generation | transformers |
# DoubleLlama3-8b-slerp
DoubleLlama3-8b-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
* [meta-llama/Meta-Llama-3-8... | {"tags": ["merge", "mergekit", "lazymergekit", "meta-llama/Meta-Llama-3-8B-Instruct"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B-Instruct"]} | llm-lover/DoubleLlama3-8b-slerp | null | [
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"merge",
"mergekit",
"lazymergekit",
"meta-llama/Meta-Llama-3-8B-Instruct",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us... | null | 2024-04-24T08:41:30+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #meta-llama/Meta-Llama-3-8B-Instruct #conversational #base_model-meta-llama/Meta-Llama-3-8B-Instruct #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# DoubleLlama3-8b-slerp
DoubleLlama3-8b-slerp is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B-Instruct
* meta-llama/Meta-Llama-3-8B-Instruct
## Configuration
## Usage
| [
"# DoubleLlama3-8b-slerp\n\nDoubleLlama3-8b-slerp is a merge of the following models using LazyMergekit:\n* meta-llama/Meta-Llama-3-8B-Instruct\n* meta-llama/Meta-Llama-3-8B-Instruct",
"## Configuration",
"## Usage"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-14m](https:/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-3 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T08:42:28+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-3
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
## Traini... | [
"# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-3\n\nThis model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informa... | [
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"# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-3\n\nThis model is a fine-tuned... | [
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null | transformers |
# DavidAU/AntlerStar-RP-Q6_K-GGUF
This model was converted to GGUF format from [`Aratako/AntlerStar-RP`](https://huggingface.co/Aratako/AntlerStar-RP) 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/A... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"], "base_model": ["Aratako/Antler-7B-RP-v3", "Aratako/Japanese-Starling-ChatV-7B-RP", "senseable/WestLake-7B-v2", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "Sa... | DavidAU/AntlerStar-RP-Q6_K-GGUF | null | [
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"mergekit",
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"llama-cpp",
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"base_model:senseable/WestLake-7B-v2",
"base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"b... | null | 2024-04-24T08:42:58+00:00 | [] | [
"ja"
] | TAGS
#transformers #gguf #mergekit #merge #not-for-all-audiences #nsfw #llama-cpp #gguf-my-repo #ja #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_model-SanjiWatsuki/Silicon-Maid-7B #base_model-... |
# DavidAU/AntlerStar-RP-Q6_K-GGUF
This model was converted to GGUF format from 'Aratako/AntlerStar-RP' 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... | [
"# DavidAU/AntlerStar-RP-Q6_K-GGUF\nThis model was converted to GGUF format from 'Aratako/AntlerStar-RP' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_fss1000
This model is a fine-tuned version of [facebook/detr-resnet-101](https://huggingface.co/faceboo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-101", "model-index": [{"name": "detr-resnet-50_finetuned_fss1000", "results": []}]} | Khanmhmdi/detr-resnet-50_finetuned_fss1000 | null | [
"transformers",
"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-101",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T08:43:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-101 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr-resnet-50_finetuned_fss1000
This model is a fine-tuned version of facebook/detr-resnet-101 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# detr-resnet-50_finetuned_fss1000\n\nThis model is a fine-tuned version of facebook/detr-resnet-101 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Train... | [
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text-generation | transformers |
<br/><br/>
8bpw/h8 exl2 quantization of [xxx777xxxASD/ChaoticSoliloquy-4x8B](https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/jgyhmI451GRXri5hEj3... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | JayhC/ChaoticSoliloquy-4x8B-8bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"conversational",
"en",
"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-24T08:44:00+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #conversational #en #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<br/><br/>
8bpw/h8 exl2 quantization of xxx777xxxASD/ChaoticSoliloquy-4x8B using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
!image/png
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it'... | [
"### ChaoticSoliloquy-4x8B",
"## Models used\n\n- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B\n- jeiku/Chaos_RP_l3_8B\n- openlynn/Llama-3-Soliloquy-8B\n- Sao10K/L3-Solana-8B-v1",
"## Vision\n\nllama3_mmproj\n!image/png",
"## Prompt format: Llama 3"
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #conversational #en #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"### ChaoticSoliloquy-4x8B",
"## Models used\n\n- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B\n- jeiku/Chaos_RP_l3_8B\n... | [
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null | transformers |
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the `LLama3-8b-instruct` model
2. `tinyllama` - a smaller model version
For each version, the following variants are available:... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "function calling", "tool use", "llama", "llama3", "tinyllama", "instruct-tuned", "4-bit quantization", "ggfu"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | unclecode/llama3-function-call-Q4_K_M_GGFU-240424 | null | [
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"text-generation-inference",
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"tinyllama",
"instruct-tuned",
"4-bit quantization",
"ggfu",
"en",
"base_model:unsloth/llama-3-8b-Instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible"... | null | 2024-04-24T08:44:13+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #text-generation-inference #unsloth #trl #function calling #tool use #llama3 #tinyllama #instruct-tuned #4-bit quantization #ggfu #en #base_model-unsloth/llama-3-8b-Instruct-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the 'LLama3-8b-instruct' model
2. 'tinyllama' - a smaller model version
For each version, the following variants are available:... | [
"# Function Calling and Tool Use LLaMA Models\n\nThis repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:\n\n1. Fine-tuned version of the 'LLama3-8b-instruct' model\n2. 'tinyllama' - a smaller model version\n\nFor each version, the following variants are ... | [
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-CLIP-1B-224p-f8 | null | [
"arxiv:2403.15377",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T08:46:52+00:00 | [
"2403.15377"
] | [] | TAGS
#arxiv-2403.15377 #license-apache-2.0 #region-us
|
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- Repository: InternVideo2
- Paper: 2403.15377
- Point of Contact: mailto:InternVideo Group
If you find this work usefu... | [
"# Model Card for InternVideo2\n\nThis modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.",
"## Model Details",
"### Model Sources\n\n- Repository: InternVideo2\n- Paper: 2403.15377\n- Point of Contact: mailto:InternVideo Group\n\nIf you ... | [
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"# Model Card for InternVideo2\n\nThis modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.",
"## Model Details",
"### Model Sources\n\n- Repository: InternVideo2\n- Paper: 2403... | [
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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-UltimaProvaCluster-Cluster6di7-5epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster6di7-5epochs", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster6di7-5epochs | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T08:46:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# PolizzeDonut-UltimaProvaCluster-Cluster6di7-5epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
"# PolizzeDonut-UltimaProvaCluster-Cluster6di7-5epochs\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore infor... | [
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"# PolizzeDonut-UltimaProvaCluster-Cluster6di7-5epochs\n\nThis model is a fine-tuned version of naver-clova-i... | [
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text-generation | transformers |
# MultiverseBuddy-15B-MoE
MultiverseBuddy-15B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "OpenBuddy/openbuddy-mistral2-7b-v20.2-32k"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "OpenBuddy/openbuddy-mistral2-7b-v20.2-32k"]} | allknowingroger/MultiverseBuddy-15B-MoE | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"allknowingroger/MultiverseEx26-7B-slerp",
"OpenBuddy/openbuddy-mistral2-7b-v20.2-32k",
"base_model:allknowingroger/MultiverseEx26-7B-slerp",
"base_model:OpenBuddy/openbuddy... | null | 2024-04-24T08:47:53+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #allknowingroger/MultiverseEx26-7B-slerp #OpenBuddy/openbuddy-mistral2-7b-v20.2-32k #base_model-allknowingroger/MultiverseEx26-7B-slerp #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.2-32k #license-apache-2.0 #aut... |
# MultiverseBuddy-15B-MoE
MultiverseBuddy-15B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* OpenBuddy/openbuddy-mistral2-7b-v20.2-32k
## Configuration
## Usage
| [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/meraGPT/mera-mix-4x7B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/mera-mix-4x7B-GGUF
... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "meraGPT/mera-mix-4x7B", "quantized_by": "mradermacher"} | mradermacher/mera-mix-4x7B-i1-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-meraGPT/mera-mix-4x7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | RyanJBishop/Interpretator_of_PDFs | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-24T08:49:00+00:00 | [
"1910.09700"
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#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
[notebook](https://gist.github.com/shake/81769398fe0b6cf9affcfc7f6b60e475)
有详细的说明。学习使用。
如果使用，你需要更换你的wandb，和huggingface的密钥。我是在colab 密钥添加。
| {"library_name": "transformers", "tags": []} | chenshake/Meta-Llama-3-8B-Orpo | null | [
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|
# Model Card for Model ID
notebook
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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": "openai/whisper-small"} | ygaci/whisper-small-fr_common_voice_16_new | null | [
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"tensorboard",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Llama-3-8B-Instruct-DPO-v0.3 (32k)
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-8B-Instruct` model. I have used `rope_theta` to extend the context length up to 32K sa... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3"], "datasets": ["Intel/orca_dpo_pairs"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "license_name": "llama3", "li... | MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3 | null | [
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| 
Llama-3-8B-Instruct-DPO-v0.3 (32k)
==================================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-8B-Instruct' model. I have used 'rope\_theta' to extend the context length up to 32K safely.
Quantized GGUF
==============
All GGUF models come with context ... | [] | [
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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. -->
# stocks
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "stocks", "results": []}]} | adriansanz/2404v2 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| stocks
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6553
* Accuracy: 0.8101
* Precision: 0.8111
* Recall: 0.8101
* F1: 0.8099
* Ratio: 0.5289
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 20\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage1-1B-224p-f8 | null | [
"arxiv:2403.15377",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T08:52:35+00:00 | [
"2403.15377"
] | [] | TAGS
#arxiv-2403.15377 #license-apache-2.0 #region-us
|
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- Repository: InternVideo2
- Paper: 2403.15377
- Point of Contact: mailto:InternVideo Group
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# breeze_7b_lora
This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek... | {"language": ["zh"], "license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-Breeze-Instruct"], "base_model": "MediaTek-Research/Breeze-7B-Instruct-v1_0", "model-index": [{"name": "breeze_7b_lora... | DandinPower/breeze_7b_lora_full_text | null | [
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"base_model:MediaTek-Research/Breeze-7B-Instruct-v1_0",
"license:apache-2.0",
"region:us"
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"zh"
] | TAGS
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| breeze\_7b\_lora
================
This model is a fine-tuned version of MediaTek-Research/Breeze-7B-Instruct-v1\_0 on the DandinPower/ZH-Reading-Comprehension-Breeze-Instruct dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9671
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n... | [
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null | null | ¿Qué es L-Fortex Precio?
L-Fortex tabletas es un suplemento dietético en cápsulas de primera calidad diseñado para abordar diversos aspectos de la salud masculina, incluida la vitalidad, los niveles de energía y la función reproductiva. Su fórmula avanzada contiene una mezcla sinérgica de vitaminas, minerales y extrac... | {"license": "apache-2.0"} | L-FortexEcuador/L-Fortex | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T08:53:32+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ¿Qué es L-Fortex Precio?
L-Fortex tabletas es un suplemento dietético en cápsulas de primera calidad diseñado para abordar diversos aspectos de la salud masculina, incluida la vitalidad, los niveles de energía y la función reproductiva. Su fórmula avanzada contiene una mezcla sinérgica de vitaminas, minerales y extrac... | [] | [
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13
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | dark-lord2002/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T08:54:29+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | 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": ["unsloth"]} | ravindrakinagi/pc | null | [
"transformers",
"safetensors",
"gguf",
"mistral",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T08:54:53+00:00 | [
"1910.09700"
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|
# Model Card for Model ID
## Model Details
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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. -->
# results
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an un... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "results", "results": []}]} | Stassney/gpt-neo-finetune | null | [
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# results
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
### Training hyperparameters
The f... | [
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null | transformers |
# Uploaded model
- **Developed by:** MadK
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | MadK/ninjabot_v1_cleaning | null | [
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null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/Eurdem/Bombus_3x8B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Bombus_3x8B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "llama-3"], "base_model": "Eurdem/Bombus_3x8B", "quantized_by": "mradermacher"} | mradermacher/Bombus_3x8B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | # ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B AWQ
- Model creator: [ChaoticNeutrals](https://huggingface.co/ChaoticNeutrals)
- Original model: [Poppy_Porpoise-v0.6-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B)
![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Poppy_Porpoise-v0.6-L3-8B-AWQ | null | [
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#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B AWQ
- Model creator: ChaoticNeutrals
- Original model: Poppy_Porpoise-v0.6-L3-8B
!image/png
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
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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. -->
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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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
# MoMonir/wavecoder-ultra-6.7b-GGUF
This model was converted to GGUF format from [`microsoft/wavecoder-ultra-6.7b`](https://huggingface.co/microsoft/wavecoder-ultra-6.7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code", "llama-cpp", "gguf-my-repo"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-ultra-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation"} | MoMonir/wavecoder-ultra-6.7b-GGUF | null | [
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# MoMonir/wavecoder-ultra-6.7b-GGUF
This model was converted to GGUF format from 'microsoft/wavecoder-ultra-6.7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
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null | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | VinhLlama/Gemma7bVinhntV01_16bit | null | [
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|
# Uploaded model
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null | mlx |
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0) for more details on the model.
## Use ... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T08:58:28+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
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"# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0']().\nRefer to the original model card for more details on the model.",
"#... | [
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"TAGS\n#mlx #safetensors #llama #license-apache-2.0 #region-us \n# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-3.0']().\nRefer to the original model card for more details on the model.## Use with m... |
null | mlx |
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2) for more details on the model.
## Use ... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T08:58:37+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
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"# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2']().\nRefer to the original model card for more details on the model.",
"#... | [
23,
88,
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"TAGS\n#mlx #safetensors #llama #license-apache-2.0 #region-us \n# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.2']().\nRefer to the original model card for more details on the model.## Use with m... |
null | null |
# danielus/Mermaid-Llama-3-8B-Q8_0-GGUF
This model was converted to GGUF format from [`TroyDoesAI/Mermaid-Llama-3-8B`](https://huggingface.co/TroyDoesAI/Mermaid-Llama-3-8B) 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](ht... | {"license": "cc-by-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | danielus/Mermaid-Llama-3-8B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-4.0",
"region:us"
] | null | 2024-04-24T08:59:04+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-cc-by-4.0 #region-us
|
# danielus/Mermaid-Llama-3-8B-Q8_0-GGUF
This model was converted to GGUF format from 'TroyDoesAI/Mermaid-Llama-3-8B' 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... | [
"# danielus/Mermaid-Llama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'TroyDoesAI/Mermaid-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-cc-by-4.0 #region-us \n",
"# danielus/Mermaid-Llama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'TroyDoesAI/Mermaid-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use w... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-cc-by-4.0 #region-us \n# danielus/Mermaid-Llama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'TroyDoesAI/Mermaid-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nI... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | loziobo/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T08:59:20+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
17
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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"]} | DaniElAbrazos/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-24T08:59:35+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# 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... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n",
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agen... | [
39,
205
] | [
"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n ... |
null | mlx |
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5) for more details on the model.
## Use ... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T09:00:15+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
"TAGS\n#mlx #safetensors #llama #license-apache-2.0 #region-us \n",
"# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.",
"#... | [
23,
88,
6
] | [
"TAGS\n#mlx #safetensors #llama #license-apache-2.0 #region-us \n# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.## Use with m... |
null | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | VinhLlama/Gemma7bVinhntV02_16bit | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma",
"trl",
"en",
"base_model:unsloth/gemma-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T09:01:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: VinhLlama
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: VinhLlama\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: VinhLlama\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis g... | [
60,
77
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: VinhLlama\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis gemma m... |
text-generation | transformers |
# Uploaded model
- **Developed by:** FelixChao
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | PetroGPT/Llama-3-Petro-Instruct-v1 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T09:01:54+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #conversational #en #base_model-unsloth/llama-3-8b-Instruct-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: FelixChao
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: FelixChao\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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"# Uploaded model\n\n- Developed by: FelixChao\n- License: apache... | [
79,
83
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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. -->
# heart_defect_detection
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "heart_defect_detection", "results": []}]} | yana-sklyanchuk/heart_defect_detection | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T09:02:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| heart\_defect\_detection
========================
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: 0.2189
* F1: 0.4835
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
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"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
text-generation | transformers |
**The license is `cc-by-nc-4.0`.**
# **GAI-LLM/Llama-3-8B_classification**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, SuKyung Park (SK C&C G.AI Eng)
**Input** Models input text only.
**Output** Models generate text only.
**Model Architecture**
GAI-LLM/Llama-3-8B_classification is a... | {"language": ["ko"], "license": "cc-by-nc-4.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | GAI-LLM/Llama-3-8B_classification | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T09:02:31+00:00 | [] | [
"ko"
] | TAGS
#transformers #safetensors #llama #text-generation #ko #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
The license is 'cc-by-nc-4.0'.
# GAI-LLM/Llama-3-8B_classification
## Model Details
Model Developers Donghoon Oh, Hanmin Myung, SuKyung Park (SK C&C G.AI Eng)
Input Models input text only.
Output Models generate text only.
Model Architecture
GAI-LLM/Llama-3-8B_classification is an auto-regressive langua... | [
"# GAI-LLM/Llama-3-8B_classification",
"## Model Details\n\nModel Developers Donghoon Oh, Hanmin Myung, SuKyung Park (SK C&C G.AI Eng)\n\nInput Models input text only.\n\nOutput Models generate text only.\n\nModel Architecture \nGAI-LLM/Llama-3-8B_classification is an auto-regressive language model based on the ... | [
"TAGS\n#transformers #safetensors #llama #text-generation #ko #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# GAI-LLM/Llama-3-8B_classification",
"## Model Details\n\nModel Developers Donghoon Oh, Hanmin Myung, SuKyung Park (SK C&C G.AI Eng)\n\nInp... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** umarigan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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", "tr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["umarigan/GPTeacher-General-Instruct-tr"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | umarigan/LLama-3-8B-Instruction-tr | null | [
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# Uploaded model
- Developed by: umarigan
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | elisamammi/ppo_lunar_lander_v2 | null | [
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"deep-reinforcement-learning",
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"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-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": []} | ramfais/gpt2_orpo | 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-to-image | diffusers | # Fonglets Ashley Ho (JabComix) Pony XL
<Gallery />
## Trigger words
You should use `ashley ho` to trigger the image generation.
You should use `tooth gap` to trigger the image generation.
You should use `Micro Bikini` to trigger the image generation.
## Download model
Weights for this model are available in S... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "tooth gap, ashley_ho, 1koma, black border, comic, english text, letterboxed, speech bubble, 1girl, blush, smile, short hair, open mouth, black hair, indoors, dark skin, pink jumper, whi... | Fongletto/Fonglets_Ashley_Ho_JabComix_Pony_XL | null | [
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"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #not-for-all-audiences #base_model-stablediffusionapi/pony-diffusion-v6-xl #region-us
| # Fonglets Ashley Ho (JabComix) Pony XL
<Gallery />
## Trigger words
You should use 'ashley ho' to trigger the image generation.
You should use 'tooth gap' to trigger the image generation.
You should use 'Micro Bikini' to trigger the image generation.
## Download model
Weights for this model are available in S... | [
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text-generation | transformers | Quantizations of https://huggingface.co/stabilityai/stablelm-zephyr-3b
# From original readme
## Usage
`StableLM Zephyr 3B` uses the following instruction format:
```
<|user|>
List 3 synonyms for the word "tiny"<|endoftext|>
<|assistant|>
1. Dwarf
2. Little
3. Petite<|endoftext|>
```
This format is also available t... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "stablelm-zephyr-3b", "stabilityai"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/stablelm-zephyr-3b-imatrix-GGUF | null | [
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| Quantizations of URL
# From original readme
## Usage
'StableLM Zephyr 3B' uses the following instruction format:
This format is also available through the tokenizer's 'apply_chat_template' method:
You can also see how to run a performance optimized version of this model here using OpenVINO from Intel.
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null | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | VinhLlama/Gemma7bVinhntV03_16bit | null | [
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|
# Uploaded model
- Developed by: VinhLlama
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/EryriLabs/Llama-3-Smolphin-8b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "EryriLabs/Llama-3-Smolphin-8b", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Smolphin-8b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-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_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-14m](https:/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-2
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
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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_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-14m](https:/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-14m_mz-130_PasswordMatch_n-its-10-seed-1
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
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zero-shot-image-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": []} | user-agent/CLIP_embeddings_ViT_B32 | null | [
"transformers",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** jurieyel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jurieyel/text2sql-finetuned-llama3-8b-bnb-4bit | null | [
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|
# Uploaded model
- Developed by: jurieyel
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | pietroorlandi/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T09:08:04+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-to-image | diffusers | # Fonglets PumpkinSpiceLatte Pony XL
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Fongletto/Fonglets_PumpkinSpiceLatte_Pony_XL/tree/main) them in the Files & versions tab. | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "score_9,score_8,score_7,score_8_up,score_7_up,score_6_up, score_9,score_8,score_7,score_8_up,score_7_up,score_6_up, 1girl, abigail williams (fate), abigail williams (swimsuit foreigner)... | Fongletto/Fonglets_PumpkinSpiceLatte_Pony_XL | null | [
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| # Fonglets PumpkinSpiceLatte Pony XL
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab. | [
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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": []} | Reihaneh/wav2vec2_fy_nl_en_common_voice_15 | null | [
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"endpoints_compatible",
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#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.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deit-base-patch16-224-finetuned-ind-4-imbalanced-aadhaarmask-3839
This model is a fine-tuned version of [facebook/deit-base-patc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "f1", "precision"], "base_model": "facebook/deit-base-patch16-224", "model-index": [{"name": "deit-base-patch16-224-finetuned-ind-4-imbalanced-aadhaarmask-3839", "results": [{"task": {"type": "im... | Kushagra07/deit-base-patch16-224-finetuned-ind-4-imbalanced-aadhaarmask-3839 | null | [
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| deit-base-patch16-224-finetuned-ind-4-imbalanced-aadhaarmask-3839
=================================================================
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2241
* Accuracy: 0.9... | [
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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-UltimaProvaCluster-Cluster7di7-5epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://hu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-UltimaProvaCluster-Cluster7di7-5epochs", "results": []}]} | tedad09/PolizzeDonut-UltimaProvaCluster-Cluster7di7-5epochs | null | [
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|
# PolizzeDonut-UltimaProvaCluster-Cluster7di7-5epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun01](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01", "motherfucker0/zhun02"]} | Sumail/zhun05 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T09:10:47+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun01
* motherfucker0/zhun02
### Configuration
The following YAM... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# yolo
This model is a fine-tuned version of [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny) on an unknown dataset.
... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "hustvl/yolos-tiny", "model-index": [{"name": "yolo", "results": []}]} | SkowKyubu/yolo | null | [
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"object-detection",
"generated_from_trainer",
"base_model:hustvl/yolos-tiny",
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|
# yolo
This model is a fine-tuned version of hustvl/yolos-tiny on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following ... | [
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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="FaryalS/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": ... | FaryalS/q-FrozenLake-v1-4x4-noSlippery | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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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 | 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": "google/gemma-2b-it"} | Inishds/gemma-2b-it-quotes | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-google/gemma-2b-it #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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="FaryalS/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/- ... | FaryalS/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
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"region:us"
] | null | 2024-04-24T09:13:31+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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun02](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun02", "motherfucker0/zhun01"]} | motherfucker0/zhen01 | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-24T09:13:55+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun02
* motherfucker0/zhun01
### Configuration
The following YAM... | [
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | hanifsyarubany10/mistral-7b-100epochs-Unsloth-FreedomIntelligence-indo-2e-4 | null | [
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|
# Uploaded model
- Developed by: hanifsyarubany10
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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