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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:
* [paulml/OmniBeagleSquaredMBX-v3-7B](https://... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["paulml/OmniBeagleSquaredMBX-v3-7B", "paulml/NeuralOmniWestBeaglake-7B"]} | TW3Partners/testmerge-7b | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* paulml/OmniBeagleSquaredMBX-v3-7B
* paulml/NeuralOmniWestBeaglake-7B
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video-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. -->
# videomae-base-finetuned-ElderReact-anger11
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-anger11", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-anger11 | null | [
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| videomae-base-finetuned-ElderReact-anger11
==========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5802
* Accuracy: 0.7653
Model description
-----------------
More information... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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video-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. -->
# videomae-base-finetuned-ElderReact-Disgust11
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.c... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Disgust11", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Disgust11 | null | [
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| videomae-base-finetuned-ElderReact-Disgust11
============================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4435
* Accuracy: 0.84
Model description
-----------------
More informati... | [
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translation | transformers |
# Model Card for MADLAD-400-7B-CT2-int8
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
5. [Training Details](#training-details)
6. [Evaluation](#evaluation)
7. [Environmental Impact](#enviro... | {"language": ["multilingual", "en", "ru", "es", "fr", "de", "it", "pt", "pl", "nl", "vi", "tr", "sv", "id", "ro", "cs", "zh", "hu", "ja", "th", "fi", "fa", "uk", "da", "el", "no", "bg", "sk", "ko", "ar", "lt", "ca", "sl", "he", "et", "lv", "hi", "sq", "ms", "az", "sr", "ta", "hr", "kk", "is", "ml", "mr", "te", "af", "g... | Heng666/madlad400-7b-mt-ct2-int8 | null | [
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# Model Card for MADLAD-400-7B-CT2-int8
# Table of Contents
0. TL;DR
1. Model Details
2. Usage
3. Uses
4. Bias, Risks, and Limitations
5. Training Details
6. Evaluation
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8. Citation
# TL;DR
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video-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. -->
# videomae-base-finetuned-ElderReact-Fear11
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/M... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Fear11", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Fear11 | null | [
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| videomae-base-finetuned-ElderReact-Fear11
=========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
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* Loss: 0.3036
* Accuracy: 0.908
Model description
-----------------
More information ne... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mixtral-8x7B-v0.1"} | braunaleMPG/tutor_mixtral_1000 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-gemma-sft-alpaca
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on th... | {"language": ["af", "am", "ar", "en", "ee"], "license": "gemma", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["masakhane/african-translated-alpaca"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-african-alp... | masakhane/zephyr-7b-gemma-sft-african-alpaca | null | [
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==========================
This model is a fine-tuned version of google/gemma-7b on the masakhane/african-translated-alpaca dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2737
Model description
-----------------
More information needed
Intended uses & li... | [
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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. -->
# gemma-7b-sft-qlora-no-robots15
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) o... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["chansung/no_robots_only_coding"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma-7b-sft-qlora-no-robots15", "results": []}]} | chansung/gemma-7b-sft-qlora-no-robots15 | null | [
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| gemma-7b-sft-qlora-no-robots15
==============================
This model is a fine-tuned version of google/gemma-7b on the chansung/no\_robots\_only\_coding dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2808
Model description
-----------------
More information needed
Intended use... | [
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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": []} | george2704/LLM_new | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# LLM
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-In... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "LLM", "results": []}]} | george2704/LLM | null | [
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| LLM
===
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1197
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ELMISRL2024/english-cv-extraction | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | ### Tiny LLM 58M 微调模型
此模型在项目[wdndev/tiny-llm-zh (github.com)](https://github.com/wdndev/tiny-llm-zh)中训练生成，详细训练微调过程，见github项目。 | {} | wdndev/hf_tiny_llm_58m_sft | null | [
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| ### Tiny LLM 58M 微调模型
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | mjm765/PYStar_NER_comment_ADR_BioMistral_after_user_ignore | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# yamanju/emotion-analysis-with-distilbert
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "yamanju/emotion-analysis-with-distilbert", "results": []}]} | yamanju/emotion-analysis-with-distilbert | null | [
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| yamanju/emotion-analysis-with-distilbert
========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6931
* Train Accuracy: 0.497
* Validation Loss: 0.6931
* Validation Accuracy... | [
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null | trl |
# Weni/WeniGPT-Agents-Mixtral-Instruct-2.0.4-KTO
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with KTO and a new tokenizer configuration... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "mistralai/Mixtral-8x7B-Instruct-v0.1", "model-index": [{"name": "Weni/WeniGPT-Agents-Mixtral-Instruct-2.0.4-KTO", "results": []}]} | Weni/WeniGPT-Agents-Mixtral-Instruct-2.0.4-KTO | null | [
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|
# Weni/WeniGPT-Agents-Mixtral-Instruct-2.0.4-KTO
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
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text-generation | transformers | # Llama13b - Quantized using AutoSmoothQuant. No zeropoints.
## Base model:
- https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b
## Quantization:
- Using AutoSmoothQuant based on the base w8a8 vllm PR's recommendation (https://github.com/vllm-project/vllm/pull/1508)
- Reference document : https://docs.google... | {} | nm-testing/Nous-Hermes-Llama2-13b-smoothquant | null | [
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| # Llama13b - Quantized using AutoSmoothQuant. No zeropoints.
## Base model:
- URL
## Quantization:
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan-v2
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan-v2", "results": []}]} | BanUrsus/distilhubert-finetuned-gtzan-v2 | null | [
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| distilhubert-finetuned-gtzan-v2
===============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5575
* Accuracy: 0.87
Model description
-----------------
More information needed
Intended uses &... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Tonita/test-hub-push | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | mizoru/whisper-small-ru-ORD_0.4_0.3 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | sgbrkr/PEGASUS-chat-finetuned | null | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Ppoyaa/Alpha-Mistral-7B-Instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Ppoyaa/Alpha-Mistral-7B-Instruct", "quantized_by": "mradermacher"} | mradermacher/Alpha-Mistral-7B-Instruct-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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null | transformers |
# Uploaded model
- **Developed by:** Omickeyee
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-7b
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/main/images... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "google/gemma-7b"} | Omickeyee/Marathi_Gemma_7B_40k | null | [
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# Uploaded model
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<img src="URL width="200"/>
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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": []} | lucyd/connections-model-2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | This is just a conversion of the Mistral-7B-v0.2 model shared by the Mistral team during the SF hackathon.
The script used was from [transformers](https://github.com/huggingface/transformers/blob/6cdbd73e01a9719bfaec07d91fd108e8d932bbbb/src/transformers/models/mistral/convert_mistral_weights_to_hf.py#L4)
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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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:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | Finding-new-code5/nothing | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | JackZhao1998/GPT2BioNER | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# Appearance-classifier-with-ratings
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Appearance-classifier-with-ratings", "results": []}]} | lengocquangLAB/Appearance-classifier-with-ratings | null | [
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| Appearance-classifier-with-ratings
==================================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5312
* Accuracy: 0.4029
* Recall: 0.4029
* Precision: 0.4029
* F1: 0.4029
Model descript... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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null | gemma.cpp |
# RecurrentGemma Model Card
**Model Page**: [RecurrentGemma]( https://ai.google.dev/gemma/docs/recurrentgemma/model_card)
This model card corresponds to the 2B instruction-tuned version of the RecurrentGemma model for gemma.cpp, the C++ implementation of the Gemma model family. You can also visit the model card of t... | {"license": "gemma", "library_name": "gemma.cpp", "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_gated_prompt": "To access RecurrentGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and ... | google/recurrentgemma-2b-it-sfp-cpp | null | [
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#gemma.cpp #license-gemma #region-us
|
# RecurrentGemma Model Card
Model Page: RecurrentGemma
This model card corresponds to the 2B instruction-tuned version of the RecurrentGemma model for URL, the C++ implementation of the Gemma model family. You can also visit the model card of the 2B base model.
SFP checkpoints are pre-quantized to 8-bit using Switc... | [
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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"} | ashishp-wiai/vit_base_patch16_224.orig_in21k-lora-IN21k_NPSS_OS_CheckNew_1104 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# outputs
This model is a fine-tuned version of [unsloth/Hermes-2-Pro-Mistral-7B-bnb-4bit](https://huggingface.co/unsloth/Hermes-2... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/Hermes-2-Pro-Mistral-7B-bnb-4bit", "model-index": [{"name": "outputs", "results": []}]} | RishubAmp/outputs | null | [
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|
# outputs
This model is a fine-tuned version of unsloth/Hermes-2-Pro-Mistral-7B-bnb-4bit on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# outputs\n\nThis model is a fine-tuned version of unsloth/Hermes-2-Pro-Mistral-7B-bnb-4bit on the None dataset.",
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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. -->
# 4_datasets_fake_news_with_AI_rephrasing_Covid
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "4_datasets_fake_news_with_AI_rephrasing_Covid", "results": []}]} | littlepinhorse/4_datasets_fake_news_with_AI_rephrasing_Covid | null | [
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|
# 4_datasets_fake_news_with_AI_rephrasing_Covid
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: 0.0557
- Accuracy: 0.9873
- F1: 0.9874
## Model description
More information needed
## Intended uses & limitations
M... | [
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text-generation | transformers | 
Just trying to quantize this model into exl. I provide `measurement.json` on the repo if you want to quantize it yourself
# Vision/multimodal capabilities:
Quants Found Here: https://huggingface.co/L... | {"license": "other", "model-index": [{"name": "KukulStanta-7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "acc_no... | bluuwhale/KukulStanta-7B-8bpw-exl2 | null | [
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"8-bit",
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#transformers #safetensors #mistral #text-generation #license-other #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| !image/png
Just trying to quantize this model into exl. I provide 'URL' on the repo if you want to quantize it yourself
Vision/multimodal capabilities:
===============================
Quants Found Here: URL
If you want to use vision functionality:
* You must use the latest versions of Koboldcpp.
To use the ... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** sixrings23
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | sixrings23/unsloth-txt2sql-gemma7b-lora | null | [
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] | null | 2024-04-11T16:12:47+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: sixrings23
- 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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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_buff66e4_v3 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T16:14:41+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_batch64_v3 | null | [
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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null | null |
# Qwen Chat 1.8B for RK3588
This is a conversion from https://huggingface.co/Qwen/Qwen-1_8B/ to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
https://huggingface.co/Pelochus/ezrkllm-collection
# Licens... | {"tags": ["qwen", "rkllm", "rockchip", "rk3588"]} | Pelochus/qwen-1_8B-rk3588 | null | [
"qwen",
"rkllm",
"rockchip",
"rk3588",
"region:us"
] | null | 2024-04-11T16:18:10+00:00 | [] | [] | TAGS
#qwen #rkllm #rockchip #rk3588 #region-us
|
# Qwen Chat 1.8B for RK3588
This is a conversion from URL to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
URL
# License
Same as the original LLM URL | [
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image-classification | PyTorchModelHubMixin-template |
This model has been pushed to the Hub using **PyTorchModelHubMixin-template**:
- Repo: repo_url
- Docs: docs_url | {"library_name": "PyTorchModelHubMixin-template", "tags": ["image-classification", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "repo_url", "docs_url": "docs_url"} | not-lain/demo | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Featherlite-Aurora-v0.3-beta
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/Hugging... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Featherlite-Aurora-v0.3-beta", "results": []}]} | hvadaparty/Featherlite-Aurora-v0.3-beta | null | [
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|
# Featherlite-Aurora-v0.3-beta
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
# DeepCode-7B-Aurora-v13
DeepCode-7B-Aurora-v13 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
* [deepseek-ai/deepseek-math-7b-rl... | {"license": "afl-3.0", "tags": ["deepseek-ai/deepseek-math-7b-rl"], "base_model": ["deepseek-ai/deepseek-math-7b-rl", "deepseek-ai/deepseek-math-7b-rl", "deepseek-ai/deepseek-math-7b-rl", "deepseek-ai/deepseek-math-7b-rl", "deepseek-ai/deepseek-math-7b-rl"]} | ALBADDAWI/DeepCode-7B-Aurora-v13 | null | [
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|
# DeepCode-7B-Aurora-v13
DeepCode-7B-Aurora-v13 is a merge of the following models using LazyMergekit:
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
* deepseek-ai/deepseek-math-7b-rl
## Configuration
## Usage
| [
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null | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Uploaded model
- **Developed by:** sixrings23
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | sixrings23/unsloth-txt2sql-gemma7b-lora-merged4bit | null | [
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# Uploaded model
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<img src="URL width="200"/>
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep11 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | ishal/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9407
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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. -->
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mixtral-8x7B-v0.1"} | braunaleMPG/tutor_mixtral_1000_q4 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** cvzion
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | cvzion/gguf-TINYLLAMA-dqg-v5a-q8_0 | null | [
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# Uploaded model
- Developed by: cvzion
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | gemma.cpp |
# RecurrentGemma Model Card
**Model Page**: [RecurrentGemma]( https://ai.google.dev/gemma/docs/recurrentgemma/model_card)
This model card corresponds to the base 2B version of the RecurrentGemma model for gemma.cpp, the C++ implementation of the Gemma model family.
SFP checkpoints are pre-quantized to 8-bit using S... | {"license": "gemma", "library_name": "gemma.cpp", "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_gated_prompt": "To access RecurrentGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and ... | google/recurrentgemma-2b-sfp-cpp | null | [
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|
# RecurrentGemma Model Card
Model Page: RecurrentGemma
This model card corresponds to the base 2B version of the RecurrentGemma model for URL, the C++ implementation of the Gemma model family.
SFP checkpoints are pre-quantized to 8-bit using Switching Floating Point (SFP), a method that switches between eXmY floati... | [
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text-generation | GGUF |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# zephyr-orpo-141b-A35b-v0.1-GGUF
On April 11th, [@HuggingFaceH4](https://huggingface.co/HuggingFaceH4) released a fine... | {"language": ["en"], "license": "apache-2.0", "library_name": "GGUF", "tags": ["orpo", "GGUF", "quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "16-bit", "GGUF", "mixtral", "moe"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "model_name": "zephyr-orpo-141b-A35b-v0.1-GGUF", "base_mode... | MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-GGUF | null | [
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|
<img src="URL alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# zephyr-orpo-141b-A35b-v0.1-GGUF
On April 11th, @HuggingFaceH4 released a fine-tuned model called HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 based on 'Mixtral-8x22B-v0.1' model.
- Model type: A Mixture ... | [
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null | null |
# Microsoft's Phi-2 for RK3588
This is a conversion from https://huggingface.co/microsoft/phi-2 to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
**Current update as of commit 834565c due to incompatibilities from RKLLM library.**
# Main repo
See this for my full collection of converte... | {"tags": ["phi2", "rkllm", "rockchip", "rk3588"]} | Pelochus/phi-2-rk3588 | null | [
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# Microsoft's Phi-2 for RK3588
This is a conversion from URL to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
Current update as of commit 834565c due to incompatibilities from RKLLM library.
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
URL
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null | transformers |
# Uploaded model
- **Developed by:** cvzion
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | cvzion/gguf-TINYLLAMA-dqg-v5a-q4_k_m | null | [
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# Uploaded model
- Developed by: cvzion
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL 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": []} | artixjain/connections-model10epoch | 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 |
# Uploaded as 16bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Traning metrics
## Evaluation score
### Évaluation du rapport généré par le modèle unsloth/gemma-2b-it-bnb-4bit ... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "summarizer", "16bit"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | Labagaite/gemma-Summarizer-2b-it | null | [
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|
# Uploaded as 16bit model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Traning metrics
!Evaluation Loss Plot
## Evaluation score
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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. -->
# gpt7b_domar_pretuned
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-6.7b](https://huggingface.co/AI-Sweden-Mode... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "AI-Sweden-Models/gpt-sw3-6.7b", "model-index": [{"name": "gpt7b_domar_pretuned", "results": []}]} | thorirhrafn/gpt7b_domar_pretuned | null | [
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"base_model:AI-Sweden-Models/gpt-sw3-6.7b",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-6.7b #license-other #region-us
| gpt7b\_domar\_pretuned
======================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-6.7b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5652
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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null | transformers |
---
# Eclectic-Maid-10B-v2-1-gguf
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
A much better improvement over Eclectic-Maid-10B-v2
### Merge Method
This model was merged using the passthrough merge method.
### Model... | {"library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": []} | ND911/Eclectic-Maid-10B-v2-1-gguf | null | [
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|
---
# Eclectic-Maid-10B-v2-1-gguf
This is a merge of pre-trained language models created using mergekit.
## Merge Details
A much better improvement over Eclectic-Maid-10B-v2
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
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text-generation | transformers |
# Uploaded as 4bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.9981203007518796**
### Best ROUGE-2 score : **0.9981167608286252**
### Best ROUGE-L score : **0.9981203007518796*... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "summarizer", "4bit"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | Labagaite/gemma-Summarizer-2b-it-bnb-4bit | null | [
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|
# Uploaded as 4bit model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : 0.9981203007518796
### Best ROUGE-2 score : 0.9981167608286252
### Best ROUGE-L score : 0.9981203007518796
## Wandb logs
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text-generation | transformers |
# Uploaded as lora model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Traning metrics
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# Uploaded as lora model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Traning metrics
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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token-classification | transformers |
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
<h1 align="center">
Rho-1: Not All Tokens Are What You Need
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2404.07965"><b>[📜 Arxiv]</b></a> •
<a href="https://huggingface.co/papers/2404.07965"><b>[💬 HF Paper]</b></a> •
<a href="https://huggingface.co/microsoft/rho-math-1b-v0.1"><b>[🤗 Models]</b></... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math"], "pipeline_tag": "text-generation"} | microsoft/rho-math-1b-interpreter-v0.1 | null | [
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Rho-1: Not All Tokens Are What You Need
========================================
•
*Figure 1: Rho-1 is pre-trained with Selective Language Modeling (SLM). SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.*
News
----
... | [
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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:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-xlkdlta | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
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text-generation | transformers |
<h1 align="center">
Rho-1: Not All Tokens Are What You Need
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2404.07965"><b>[📜 Arxiv]</b></a> •
<a href="https://huggingface.co/papers/2404.07965"><b>[💬 HF Paper]</b></a> •
<a href="https://huggingface.co/microsoft/rho-math-1b-v0.1"><b>[🤗 Models]</b></... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math"], "pipeline_tag": "text-generation"} | microsoft/rho-math-7b-v0.1 | null | [
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Rho-1: Not All Tokens Are What You Need
========================================
•
*Figure 1: Rho-1 is pre-trained with Selective Language Modeling (SLM). SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.*
News
----
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AI4DS/CodeLLama-NL2SQL-34B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "AI4DS/CodeLLama-NL2SQL-34B", "quantized_by": "mradermacher"} | mradermacher/CodeLLama-NL2SQL-34B-GGUF | null | [
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#transformers #gguf #en #base_model-AI4DS/CodeLLama-NL2SQL-34B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | smighani/UltraMerge-v2-7B | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# hindi_gpt2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the follow... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "hindi_gpt2", "results": []}]} | sushant-iit/hindi_gpt2 | null | [
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| hindi\_gpt2
===========
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9772
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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text-generation | transformers |
<h1 align="center">
Rho-1: Not All Tokens Are What You Need
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2404.07965"><b>[📜 Arxiv]</b></a> •
<a href="https://huggingface.co/papers/2404.07965"><b>[💬 HF Paper]</b></a> •
<a href="https://huggingface.co/microsoft/rho-math-1b-v0.1"><b>[🤗 Models]</b></... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math"], "pipeline_tag": "text-generation"} | microsoft/rho-math-7b-interpreter-v0.1 | null | [
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|
Rho-1: Not All Tokens Are What You Need
========================================
•
*Figure 1: Rho-1 is pre-trained with Selective Language Modeling (SLM). SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.*
News
----
... | [
"### Selective Lanugage Modeling (SLM)\n\n\n\n\n \n\n*Figure 2:\n **Upper:** Even an extensively filtered pretraining corpus contains token-level noise.\n **Left:** Previous Causal Language Modeling (CLM) trains on all tokens.\n **Right:** Our proposed Selective Language Modeling (SLM) selectively a... | [
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null | null |
# NikolayKozloff/DolphinStar-12.5B-Q6_K-GGUF
This model was converted to GGUF format from [`Noodlz/DolphinStar-12.5B`](https://huggingface.co/Noodlz/DolphinStar-12.5B) 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:/... | {"tags": ["llama-cpp", "gguf-my-repo"]} | NikolayKozloff/DolphinStar-12.5B-Q6_K-GGUF | null | [
"gguf",
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# NikolayKozloff/DolphinStar-12.5B-Q6_K-GGUF
This model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' 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... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-cv_1e-5-1400 | 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": []} | 0x0uncle0/aunt56 | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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video-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. -->
# videomae-base-finetuned-ElderReact-Happiness11
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Happiness11", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Happiness11 | null | [
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| videomae-base-finetuned-ElderReact-Happiness11
==============================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7278
* Accuracy: 0.4987
Model description
-----------------
More inf... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | streamize/sdsfilmxl_v40 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* [KatyTheCutie/LemonadeRP-4.5.3](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["KatyTheCutie/LemonadeRP-4.5.3", "Endevor/InfinityRP-v1-7B", "Endevor/EndlessRP-v3-7B"]} | bluuwhale/infinity-franken | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
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video-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. -->
# videomae-base-finetuned-ElderReact-Surprise11
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Surprise11", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Surprise11 | null | [
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| videomae-base-finetuned-ElderReact-Surprise11
=============================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6381
* Accuracy: 0.652
Model description
-----------------
More inform... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | AlidarAsvarov/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_1e-6-7400 | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt-kdebrah1
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "biogpt-kdebrah1", "results": []}]} | akoraingdkb/biogpt-kdebrah1 | null | [
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| biogpt-kdebrah1
===============
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1494
* Precision: 0.4294
* Recall: 0.5444
* F1: 0.4801
* Accuracy: 0.9565
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/sn6_222 | null | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaximTitarenkoUIT/voice_recog_test-ko-comb_3e-6-8000 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-cased
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation s... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "bert-base-cased", "results": []}]} | xshubhamx/bert-base-cased | null | [
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| bert-base-cased
===============
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6877
* Accuracy: 0.8102
* Precision: 0.8108
* Recall: 0.8102
* Precision Macro: 0.7633
* Recall Macro: 0.7599
* Macro Fpr: 0.0170
* Weighted Fpr: 0.0165
* Wei... | [
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text-generation | null |
## Exllama v2 Quantizations of aixcoder-7b-base
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contai... | {"quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/aixcoder-7b-base-exl2 | null | [
"text-generation",
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#text-generation #region-us
| Exllama v2 Quantizations of aixcoder-7b-base
--------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the ma... | [] | [
"TAGS\n#text-generation #region-us \n"
] | [
9
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"TAGS\n#text-generation #region-us \n"
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712855611737x151224768070342240
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Ultimate_wolverine"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712855611737x151224768070342240 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Theuzs/Ultimate_wolverine",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-11T17:13:41+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/Ultimate_wolverine #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712855611737x151224768070342240
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_78 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | SachinPatil13/gpt-neox-20b | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | null |
# Nous-Hermes-2-Mistral-7B-DPO-GGUF
- Quantized version of [Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO)
- Created using llama.cpp
## Available Quants
- IQ3_S
- Q2_K
- Q3_K_L
- Q3_K_M
- Q3_K_S
- Q4_0
- Q4_K_M
- Q4_K_S
- Q5_0
- Q5_K_M
- Q5_K_S
- Q6_K
- Q8_0 | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "DPO", "RLHF", "synthetic data"], "pipeline_tag": "text-generation", "base_model": "NousResearch/Nous-Hermes-2-Mistral-7B-DPO", "inference": false} | QuantFactory/Nous-Hermes-2-Mistral-7B-DPO-GGUF | null | [
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"license:apache-2.0",
"region:us"
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"en"
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#gguf #mistral #instruct #finetune #DPO #RLHF #synthetic data #text-generation #en #base_model-NousResearch/Nous-Hermes-2-Mistral-7B-DPO #license-apache-2.0 #region-us
|
# Nous-Hermes-2-Mistral-7B-DPO-GGUF
- Quantized version of Nous-Hermes-2-Mistral-7B-DPO
- Created using URL
## Available Quants
- IQ3_S
- Q2_K
- Q3_K_L
- Q3_K_M
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- Q4_0
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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": []} | artixjain/connections-model3epoch | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# bert-base-cased-finetuned-rotten-tomattos
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-cased-finetuned-rotten-tomattos", "results": []}]} | AlyGreo/bert-base-cased-finetuned-rotten-tomattos | null | [
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"endpoints_compatible",
"region:us"
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| bert-base-cased-finetuned-rotten-tomattos
=========================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3550
* Accuracy: 0.8640
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | transformers |
# Uploaded model
- **Developed by:** cvzion
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Hermes-2-Pro-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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/Hermes-2-Pro-Mistral-7B-bnb-4bit"} | cvzion/gguf-HMISTRAL-dqg-v1a-q4_k_m | null | [
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|
# Uploaded model
- Developed by: cvzion
- License: apache-2.0
- Finetuned from model : unsloth/Hermes-2-Pro-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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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-cased
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evalua... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "distilbert-base-cased", "results": []}]} | xshubhamx/distilbert-base-cased | null | [
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-cased
=====================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7353
* Accuracy: 0.8033
* Precision: 0.8036
* Recall: 0.8033
* Precision Macro: 0.7607
* Recall Macro: 0.7462
* Macro Fpr: 0.0178
* Weighted Fpr: ... | [
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text-generation | transformers |
DONT DOWNLOAD UNLESS YOUR WORKING ON MAKING EXPERTS FOR MOE THAT KNOW MERMAID DIAGRAMS,
THIS IS MY FIRST EXPERT THAT KNOWS SYNTAX ONLY, IT WILL NOT BE USEFUL WITHOUT THE REST OF MY EXPERTS I AM CREATING. | {"license": "cc-by-4.0"} | TroyDoesAI/Smaug-8-Layer-Chunk-Experiment1 | null | [
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|
DONT DOWNLOAD UNLESS YOUR WORKING ON MAKING EXPERTS FOR MOE THAT KNOW MERMAID DIAGRAMS,
THIS IS MY FIRST EXPERT THAT KNOWS SYNTAX ONLY, IT WILL NOT BE USEFUL WITHOUT THE REST OF MY EXPERTS I AM CREATING. | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Stopwolf/Babaroga-7B-full
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "Stopwolf/Babaroga-7B-full", "quantized_by": "mradermacher"} | mradermacher/Babaroga-7B-full-GGUF | null | [
"transformers",
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"base_model:Stopwolf/Babaroga-7B-full",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-Stopwolf/Babaroga-7B-full #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null |
# TinyLlama v1.0 Chat for RK3588
This is a conversion from https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0 to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
https://huggingface.co/Pelochus/ezr... | {"tags": ["tinyllama", "rkllm", "rockchip", "rk3588"]} | Pelochus/tinyllama-v1-rk3588 | null | [
"tinyllama",
"rkllm",
"rockchip",
"rk3588",
"region:us"
] | null | 2024-04-11T17:34:09+00:00 | [] | [] | TAGS
#tinyllama #rkllm #rockchip #rk3588 #region-us
|
# TinyLlama v1.0 Chat for RK3588
This is a conversion from URL to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
URL
# License
Same as the original LLM, in this case Apache 2.0:
URL | [
"# TinyLlama v1.0 Chat for RK3588\nThis is a conversion from URL to the RKLLM format for Rockchip devices. \nThis runs on the NPU from the RK3588.",
"# Main repo\nSee this for my full collection of converted LLMs for the RK3588's NPU:\n\nURL",
"# License\nSame as the original LLM, in this case Apache 2.0:\n\nUR... | [
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"# TinyLlama v1.0 Chat for RK3588\nThis is a conversion from URL to the RKLLM format for Rockchip devices. \nThis runs on the NPU from the RK3588.",
"# Main repo\nSee this for my full collection of converted LLMs for the RK3588's NPU:\n\nURL",
"# Lice... | [
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"TAGS\n#tinyllama #rkllm #rockchip #rk3588 #region-us \n# TinyLlama v1.0 Chat for RK3588\nThis is a conversion from URL to the RKLLM format for Rockchip devices. \nThis runs on the NPU from the RK3588.# Main repo\nSee this for my full collection of converted LLMs for the RK3588's NPU:\n\nURL# License\nSame as the o... |
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