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null | transformers |
# Uploaded model
- **Developed by:** authbbag
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
| {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | authbbag/tiny-llama_lora_model | null | [
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# Uploaded model
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text-generation | transformers |
# Model Card for Mistral-chem-v0.4 (mistral for chemistry)
The Mistral-chem-v0.4 Large Language Model (LLM) is a pretrained generative chemical molecule model with 52.11M parameters x 8 experts = 416.9M parameters.
It is derived from Mistral-7B-v0.1 model, which was simplified for chemistry: the number of layers an... | {"license": "apache-2.0", "tags": ["pretrained", "Mistral", "chemistry"]} | RaphaelMourad/mixtral-chem-v0.4 | null | [
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|
# Model Card for Mistral-chem-v0.4 (mistral for chemistry)
The Mistral-chem-v0.4 Large Language Model (LLM) is a pretrained generative chemical molecule model with 52.11M parameters x 8 experts = 416.9M parameters.
It is derived from Mistral-7B-v0.1 model, which was simplified for chemistry: the number of layers an... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-06
This model was trained from scratch ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-06", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-06 | null | [
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|
# dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps1250_bz32_lr1e-06
This model was trained from scratch 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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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": []} | shtapm/whisper-large_0410_finetuning_decoder31_200steps | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-20 | null | [
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text-generation | transformers | 
# 🔬 Einstein-v4-phi2
This model is a full fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on diverse datasets.
This model is finetuned using `8xRTX3090` + `1xRTXA600... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "phi", "phi2", "einstein", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "camel-ai/biology... | Weyaxi/Einstein-v4-phi2 | null | [
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Einstein-v4-phi2
================
This model is a full fine-tuned version of microsoft/phi-2 on diverse datasets.
This model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.
This model's training was sponsored by URL.
See axolotl config
axolotl version: '0.4.0'
Prompt Template
===... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# saffin/vit_food101
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "saffin/vit_food101", "results": []}]} | saffin/vit_food101 | null | [
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| saffin/vit\_food101
===================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.3935
* Validation Loss: 0.3000
* Train Accuracy: 0.932
* Epoch: 4
Model description
-----------------
Mo... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-20-a | 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. -->
# meditron-7b-dpo-full-wo-kqa_golden-ep3
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-dpo-full-wo-kqa_golden-ep3", "res... | Minbyul/meditron-7b-dpo-full-wo-kqa_golden-ep3 | null | [
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| meditron-7b-dpo-full-wo-kqa\_golden-ep3
=======================================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/ultrafeedback\_binarized dataset.
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* Loss: 0.4459
* Rewards/chosen: -0.4566
* Rewards/rejected: -1.4... | [
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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_test_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "bert_test_model", "results": []}]} | KeiMura/bert_test_model | null | [
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| bert\_test\_model
=================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2424
* Accuracy: 0.9129
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2_finetuned_chatbot
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llam... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "llama2_finetuned_chatbot", "results": []}]} | cchoo1/llama2_finetuned_chatbot | null | [
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# llama2_finetuned_chatbot
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mihaj/whisper-large-v3-karelian-LORA | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-2024-04-10_19-08-56
This model was trained from scratch on the None dataset.
It achieves the following results on t... | {"tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "whisper-tiny-2024-04-10_19-08-56", "results": []}]} | silinu/whisper-tiny-2024-04-10_19-08-56 | null | [
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| whisper-tiny-2024-04-10\_19-08-56
=================================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3685
* Wer: 30.4468
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | existence-master/bloomify-classification-mistral7b-lora-0.6k-simple | null | [
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null | null | hf (pretrained=johnsnowlabs/BioLing-7B-Dare), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 8
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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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. -->
# roberta-base_ag_news2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown da... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base_ag_news2", "results": []}]} | MrMurfi/roberta-base_ag_news2 | null | [
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| roberta-base\_ag\_news2
=======================
This model is a fine-tuned version of roberta-base on an unknown dataset.
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Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
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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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feature-extraction | transformers | # pet-shop-2_9062874564
## Model Description
pet-shop-2_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the dataset for th... | {} | florianhoenicke/pet-shop-2_9062874564 | null | [
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| # pet-shop-2_9062874564
## Model Description
pet-shop-2_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
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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. -->
# cvt-13-384-22k-finetuned-PinnatelyCompound-v1
This model is a fine-tuned version of [microsoft/cvt-13-384-22k](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/cvt-13-384-22k", "model-index": [{"name": "cvt-13-384-22k-finetuned-PinnatelyCompound-v1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "... | b07611031/cvt-13-384-22k-finetuned-PinnatelyCompound-v1 | null | [
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|
# cvt-13-384-22k-finetuned-PinnatelyCompound-v1
This model is a fine-tuned version of microsoft/cvt-13-384-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0262
- Accuracy: 0.9911
## Model description
More information needed
## Intended uses & limitations
More i... | [
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token-classification | gliner |
# About
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibili... | {"language": ["multilingual"], "license": "apache-2.0", "library_name": "gliner", "datasets": ["urchade/pile-mistral-v0.1"], "pipeline_tag": "token-classification"} | urchade/gliner_large-v2.1 | null | [
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| About
=====
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexi... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | Vishal24/adapter_new_bcg_v1 | 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-v0.2-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-v0.2-beta", "results": []}]} | hvadaparty/Featherlite-Aurora-v0.2-beta | null | [
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# Featherlite-Aurora-v0.2-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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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": []} | Reihaneh/wav2vec2_frisian_common_voice_14 | 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. -->
# falcon7binstruct_stuco_task
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falc... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "pipeline_tag": "text-generation", "model-index": [{"name": "falcon7binstruct_stuco_task", "results": []}]} | IvanD2002/falcon7binstruct_stuco_task | null | [
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|
# falcon7binstruct_stuco_task
This model is a fine-tuned version of tiiuae/falcon-7b-instruct 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 ... | [
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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": []} | jusKnows/hr_adapter_perf_opt_for_gemma-2b | null | [
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text-generation | transformers | This model is based on [VinaLLaMA](https://huggingface.co/vilm/vinallama-7b-chat) | {"language": ["vi"], "license": "mit", "library_name": "transformers", "datasets": ["gingdev/ictu-lecturers"], "pipeline_tag": "text-generation"} | gingdev/llama7b-ictu | 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. -->
# gemma-7b-sft-qlora-no-robots
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on ... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["sayakpaul/no_robots_only_coding"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma-7b-sft-qlora-no-robots", "results": []}]} | r4victor/gemma-7b-sft-qlora-no-robots | null | [
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| gemma-7b-sft-qlora-no-robots
============================
This model is a fine-tuned version of google/gemma-7b on the sayakpaul/no\_robots\_only\_coding dataset.
It achieves the following results on the evaluation set:
* Loss: 7.4575
Model description
-----------------
More information needed
Intended uses &... | [
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text-generation | transformers | # mlabonne/UltraMerge-v2-7B AWQ
- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [UltraMerge-v2-7B](https://huggingface.co/mlabonne/UltraMerge-v2-7B)
## Model Summary
TBD - no details provided by the author yet.
## How to use
### Install the necessary packages
```bash
pip install --u... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "quantized", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "model_name": "UltraMerge-v2-7B", "model_creator": "mlabonne", "model_type": "mistral", "pipeline_tag": "text-generation", "inference": false,... | solidrust/UltraMerge-v2-7B-AWQ | null | [
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| # mlabonne/UltraMerge-v2-7B AWQ
- Model creator: mlabonne
- Original model: UltraMerge-v2-7B
## Model Summary
TBD - no details provided by the author yet.
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quan... | [
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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. -->
# mistralv1_lora_r24_1e4
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r24_1e4", "results": []}]} | fangzhaoz/mistralv1_lora_r24_1e4 | null | [
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|
# mistralv1_lora_r24_1e4
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- 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 [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b", "model-index": [{"name": "outputs", "results": []}]} | Samarsheikh001/outputs | null | [
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More information needed
## Intended uses & limitations
More information needed
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More information needed
## Training procedure
### Training hyperparameters
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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text-generation | transformers |
<img src="./mixtral-8x22b.jpeg" width="600" />
# Mixtral-8x22B-v0.1-GGUF
On April 10th, [@MistralAI](https://huggingface.co/mistralai) released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent):
- 141B MoE with ~35B active
- Context length of 65k tokens
- The base model can be fine-tuned
- Requir... | {"language": ["fr", "en", "es", "it", "de"], "license": "apache-2.0", "tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "16-bit", "GGUF", "mixtral", "moe"], "model_name": "Mixtral-8x22B-v0.1-GGUF", "base_model": "v2ray/Mixtral-8x22B-v0.1", "inference": false, "model_creator": "MaziyarPanahi", ... | MaziyarPanahi/Mixtral-8x22B-v0.1-GGUF | null | [
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|
<img src="./URL" width="600" />
# Mixtral-8x22B-v0.1-GGUF
On April 10th, @MistralAI released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent):
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text-generation | transformers |
# DavidAU/BeagleLake-7B-Toxic-Q6_K-GGUF
This model was converted to GGUF format from [`fhai50032/BeagleLake-7B-Toxic`](https://huggingface.co/fhai50032/BeagleLake-7B-Toxic) 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "datasets": ["Undi95/toxic-dpo-v0.1-NoWarning", "NobodyExistsOnTheInternet/ToxicQAFinal"], "base_model": "fhai50032/BeagleLake-7B", "pipeline_tag": "text-generat... | DavidAU/BeagleLake-7B-Toxic-Q6_K-GGUF | null | [
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... | null | 2024-04-10T10:27:01+00:00 | [] | [
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|
# DavidAU/BeagleLake-7B-Toxic-Q6_K-GGUF
This model was converted to GGUF format from 'fhai50032/BeagleLake-7B-Toxic' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# DavidAU/BeagleLake-7B-Toxic-Q6_K-GGUF\nThis model was converted to GGUF format from 'fhai50032/BeagleLake-7B-Toxic' 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.... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/c4ai-command-r-plus-bnb-4bit-smashed | null | [
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#transformers #safetensors #cohere #text-generation #pruna-ai #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
 them in the Files & versions tab.
| {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000c\u0000l\u0000o\u0000s\u0000e\u0000u\u0000p\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u00... | rorito/testcheckreal | null | [
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"base_model:runwayml/stable-diffusion-v1-5",
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-apache-2.0 #region-us
| # realv6
<Gallery />
## Download model
Download them in the Files & versions tab.
| [
"# realv6\n\n<Gallery />",
"## Download model\n\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-apache-2.0 #region-us \n",
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jr303/sc-DophinMistral-v3 | null | [
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"text-generation",
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-10T10:34:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null |
# DavidAU/lynn-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from [`openlynn/lynn-7b-alpha`](https://huggingface.co/openlynn/lynn-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co... | {"license": "cc-by-sa-4.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"]} | DavidAU/lynn-7b-alpha-Q6_K-GGUF | null | [
"gguf",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-10T10:35:12+00:00 | [] | [] | TAGS
#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #license-cc-by-sa-4.0 #region-us
|
# DavidAU/lynn-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from 'openlynn/lynn-7b-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/lynn-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'openlynn/lynn-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
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"# DavidAU/lynn-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'openlynn/lynn-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model."... | [
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text-generation | transformers |
# MistralMusic2.0
MistralMusic2.0 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [RaduGabriel/MistralMusic](https://huggingface.co/RaduGabriel/MistralMusic)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/... | {"tags": ["merge", "mergekit", "lazymergekit", "RaduGabriel/MistralMusic", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": ["RaduGabriel/MistralMusic", "mistralai/Mistral-7B-Instruct-v0.2"]} | RaduGabriel/MistralMusic2.0 | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible"... | null | 2024-04-10T10:36:07+00:00 | [] | [] | TAGS
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# MistralMusic2.0
MistralMusic2.0 is a merge of the following models using LazyMergekit:
* RaduGabriel/MistralMusic
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
## Usage
| [
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"## Configuration",
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translation | transformers |
# TowerInstruct 7B v0.2 - AWQ
- Model creator: [Unbabel](https://huggingface.co/Unbabel)
- Original model: [TowerInstruct 7B v0.2](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.2)
## Description
This repo contains AWQ model files for [Unbabel's TowerInstruct 7B v0.2](https://huggingface.co/Unbabel/TowerInstruc... | {"language": ["en", "de", "fr", "zh", "pt", "nl", "ru", "ko", "it", "es"], "license": "cc-by-nc-4.0", "metrics": ["comet"], "model_name": "TowerInstruct 7B v0.2", "base_model": "Unbabel/TowerInstruct-7B-v0.2", "inference": false, "model_creator": "Unbabel", "model_type": "llama", "pipeline_tag": "translation", "quantiz... | seyoungsong/TowerInstruct-7B-v0.2-AWQ | null | [
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"... | null | 2024-04-10T10:37:05+00:00 | [
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|
# TowerInstruct 7B v0.2 - AWQ
- Model creator: Unbabel
- Original model: TowerInstruct 7B v0.2
## Description
This repo contains AWQ model files for Unbabel's TowerInstruct 7B v0.2.
## Licensing
The creator of the source model has listed its license as 'cc-by-nc-4.0', and this quantization has therefore used that... | [
"# TowerInstruct 7B v0.2 - AWQ\n\n- Model creator: Unbabel\n- Original model: TowerInstruct 7B v0.2",
"## Description\n\nThis repo contains AWQ model files for Unbabel's TowerInstruct 7B v0.2.",
"## Licensing\n\nThe creator of the source model has listed its license as 'cc-by-nc-4.0', and this quantization has ... | [
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text-generation | transformers |
# DavidAU/lostmagic-RP_7B-Q6_K-GGUF
This model was converted to GGUF format from [`Dunjeon/lostmagic-RP_7B`](https://huggingface.co/Dunjeon/lostmagic-RP_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfac... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["roleplay", "uncensored", "lewd", "mature", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/lostmagic-RP_7B-Q6_K-GGUF | null | [
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|
# DavidAU/lostmagic-RP_7B-Q6_K-GGUF
This model was converted to GGUF format from 'Dunjeon/lostmagic-RP_7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/lostmagic-RP_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Dunjeon/lostmagic-RP_7B' 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... | [
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null | null |
# DavidAU/StoryWeaver-7b-Instruct-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`kasper52786/StoryWeaver-7b-Instruct-v0.1`](https://huggingface.co/kasper52786/StoryWeaver-7b-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer ... | {"tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "llama-cpp", "gguf-my-repo"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | DavidAU/StoryWeaver-7b-Instruct-v0.1-Q6_K-GGUF | null | [
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"region:us"
] | null | 2024-04-10T10:43:00+00:00 | [] | [] | TAGS
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|
# DavidAU/StoryWeaver-7b-Instruct-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'kasper52786/StoryWeaver-7b-Instruct-v0.1' 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 ... | [
"# DavidAU/StoryWeaver-7b-Instruct-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'kasper52786/StoryWeaver-7b-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null | Concept,Information,Text
"Faculty of Information Technology, Thuy Loi University",Detailed information about the Faculty of Information Technology at Thuy Loi University.,"### Human:
Prompt for Faculty of Information Technology, Thuy Loi University
### Assistant:
Detailed information about the Faculty of Information T... | {} | linh5nb/test | null | [
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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]:** ... | {"language": ["sw"], "library_name": "peft", "base_model": "LeroyDyer/Mixtral_AI_SwahiliTron"} | LeroyDyer/SwahiliTextLora | null | [
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"base_model:LeroyDyer/Mixtral_AI_SwahiliTron",
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"1910.09700"
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#peft #safetensors #sw #arxiv-1910.09700 #base_model-LeroyDyer/Mixtral_AI_SwahiliTron #region-us
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mediumWhisper
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["gingercake01/stt0410"], "base_model": "openai/whisper-medium", "model-index": [{"name": "mediumWhisper", "results": []}]} | gingercake01/repo003 | null | [
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|
# mediumWhisper
This model is a fine-tuned version of openai/whisper-medium on the stt0410 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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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... | DipakBundheliya/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T10:44:59+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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] |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb1004
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb1004", "results": []}]} | Favourphilic/distilbert-base-uncased-finetuned-imdb1004 | null | [
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| distilbert-base-uncased-finetuned-imdb1004
==========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4791
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\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\n* mixed\\_pr... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "typ... | eserdy/distilbert-emotion | null | [
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"base_model:distilbert-base-uncased",
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"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T10:48:51+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-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: 0.1292
* Accuracy: 0.9385
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
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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. -->
# deta-resnet-50_finetuned_CSGO
This model is a fine-tuned version of [jozhang97/deta-resnet-50-24-epochs](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "jozhang97/deta-resnet-50-24-epochs", "model-index": [{"name": "deta-resnet-50_finetuned_CSGO", "results": []}]} | ShaneOD2611/deta-resnet-50_finetuned_CSGO | null | [
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"object-detection",
"generated_from_trainer",
"base_model:jozhang97/deta-resnet-50-24-epochs",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T10:49:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #deta #object-detection #generated_from_trainer #base_model-jozhang97/deta-resnet-50-24-epochs #endpoints_compatible #region-us
|
# deta-resnet-50_finetuned_CSGO
This model is a fine-tuned version of jozhang97/deta-resnet-50-24-epochs on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shivansh-jain/mistral_7b_instruct_fiery_v2 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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] | null | 2024-04-10T10:50:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilber... | {"tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | testrestbest/my_awesome_eli5_mlm_model | null | [
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"base_model:distilbert/distilroberta-base",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-10T10:50:22+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #fill-mask #generated_from_trainer #dataset-eli5_category #base_model-distilbert/distilroberta-base #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_eli5\_mlm\_model
=============================
This model is a fine-tuned version of distilbert/distilroberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0173
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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null | null |
# DavidAU/Mistral-7B-Neural-Story-mix-Q6_K-GGUF
This model was converted to GGUF format from [`pcuenq/Mistral-7B-Neural-Story-mix`](https://huggingface.co/pcuenq/Mistral-7B-Neural-Story-mix) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origi... | {"license": "apache-2.0", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": true} | DavidAU/Mistral-7B-Neural-Story-mix-Q6_K-GGUF | null | [
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"gguf-my-repo",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T10:50:44+00:00 | [] | [] | TAGS
#gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# DavidAU/Mistral-7B-Neural-Story-mix-Q6_K-GGUF
This model was converted to GGUF format from 'pcuenq/Mistral-7B-Neural-Story-mix' 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.
C... | [
"# DavidAU/Mistral-7B-Neural-Story-mix-Q6_K-GGUF\nThis model was converted to GGUF format from 'pcuenq/Mistral-7B-Neural-Story-mix' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-28 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ALBADDAWI/DeepCode-7B-Aurora
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["deepseek-ai/deepseek-math-7b-instruct", "deepseek-ai/deepseek-math-7b-base", "deepseek-ai/deepseek-coder-7b-instruct-v1.5"], "base_model": "ALBADDAWI/DeepCode-7B-Aurora", "quantized_by": "mradermacher"} | mradermacher/DeepCode-7B-Aurora-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 |
# 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": []} | gingercake01/repo0410 | 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 | trl |
# Weni/WeniGPT-Agents-Zephyr-1.0.30-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] 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 new tokenizer configuration for chat template of zephy... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Weni/WeniGPT-Agents-Zephyr-1.0.30-KTO", "results": []}]} | Weni/WeniGPT-Agents-Zephyr-1.0.30-KTO | null | [
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|
# Weni/WeniGPT-Agents-Zephyr-1.0.30-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.4.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment with new tokenizer configuration for chat template of zephyr
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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_69420213 | 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-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. -->
# amazon_kindle_sentiment_analysis_kaggle
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "amazon_kindle_sentiment_analysis_kaggle", "results": []}]} | denise227/amazon_kindle_sentiment_analysis_kaggle | null | [
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|
# amazon_kindle_sentiment_analysis_kaggle
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
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- eval_accuracy: 0.52
- eval_runtime: 29.8399
- eval_samples_per_second: 40.215
- eval_steps_per_second: 5.027
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null | null | Fine tuning test | {} | Mathias1998/FineTuneDataTest | 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": []} | tomaszki/mistral-28-a | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
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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. -->
# luganda-ner-v6
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown d... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "xlm-roberta-base", "model-index": [{"name": "luganda-ner-v6", "results": []}]} | e4gl33y3/luganda-ner-v6 | null | [
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| luganda-ner-v6
==============
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2811
* Precision: 0.7787
* Recall: 0.7703
* F1: 0.7745
* Accuracy: 0.9420
Model description
-----------------
More information needed
I... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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/grimulkan/Aetheria-longLORA-70b-rope8-32k-fp16
<!-- provided-files -->
static quants are available at https://huggingface.co/mraderm... | {"language": ["en"], "license": "unknown", "library_name": "transformers", "base_model": "grimulkan/Aetheria-longLORA-70b-rope8-32k-fp16", "quantized_by": "mradermacher"} | mradermacher/Aetheria-longLORA-70b-rope8-32k-fp16-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 | # **Introduction**
This model originate from "LLaMA 2-7b" we trained only response part with the "Alpaca-GPT-4" dataset, utilizing LoRA (Low-Rank Adaptation) training. The weights from LoRA are merged into the model.
## Details
### Used Datasets
- vicgalle/alpaca-gpt4
| {"language": ["en"], "license": "mit", "tags": ["IFT"]} | Seungyoun/llama-2-7b-alpaca-gpt4 | null | [
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"text-generation",
"IFT",
"en",
"license:mit",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-10T11:04:16+00:00 | [] | [
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#transformers #safetensors #llama #text-generation #IFT #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Introduction
This model originate from "LLaMA 2-7b" we trained only response part with the "Alpaca-GPT-4" dataset, utilizing LoRA (Low-Rank Adaptation) training. The weights from LoRA are merged into the model.
## Details
### Used Datasets
- vicgalle/alpaca-gpt4
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-28-b | 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-tags", "results": []}]} | anniellin/distilbert-base-uncased-finetuned-tags | null | [
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"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T11:10:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-tags
======================================
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: 0.3638
* Precision: 0.3692
* Recall: 0.4066
* F1: 0.3870
* Accuracy: 0.8897
Model descri... | [
"### 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... | [
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null | transformers |
# DavidAU/una-xaberius-34b-v1beta-Q6_K-GGUF
This model was converted to GGUF format from [`fblgit/una-xaberius-34b-v1beta`](https://huggingface.co/fblgit/una-xaberius-34b-v1beta) 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 ca... | {"license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["UNA", "juanako", "cybertron", "xaberius", "llama-cpp", "gguf-my-repo"], "datasets": ["fblgit/tree-of-knowledge", "garage-bAInd/Open-Platypus", "allenai/ultrafeedback_binarized_cleaned", "Open-Orca/OpenOrca"], "model-index": [{"name": "una-xaberius... | DavidAU/una-xaberius-34b-v1beta-Q6_K-GGUF | null | [
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"license:cc-by-nc-nd-4.0",
"model-index... | null | 2024-04-10T11:10:48+00:00 | [] | [] | TAGS
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|
# DavidAU/una-xaberius-34b-v1beta-Q6_K-GGUF
This model was converted to GGUF format from 'fblgit/una-xaberius-34b-v1beta' 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:
S... | [
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translation | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# es-inclusivo-translator
This model is a fine-tuned version of [projecte-aina/aguila-7b](https://huggingface.co/projecte-aina... | {"tags": ["translation", "generated_from_trainer"], "model-index": [{"name": "aguila-es-inclusivo-adapters_v3", "results": []}]} | Andresmfs/aguila-es-inclusivo-adapters_v3 | null | [
"tensorboard",
"translation",
"generated_from_trainer",
"region:us"
] | null | 2024-04-10T11:10:52+00:00 | [] | [] | TAGS
#tensorboard #translation #generated_from_trainer #region-us
| es-inclusivo-translator
=======================
This model is a fine-tuned version of projecte-aina/aguila-7b on the dataset somosnlp/es-inclusive-language.
Languages are powerful tools to communicate ideas, but their use is not impartial. The selection of words carries inherent biases and reflects subjective persp... | [
"### How to use\n\n\nHere is how to use this model:\n\n\n\n```\nfrom transformers import AutoTokenizer\nfrom transformers import AutoModelForCausalLM\nimport torch",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# meditron-7b-dpo-full-wo-kqa_silver_wogold-ep3
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.c... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-dpo-full-wo-kqa_silver_wogold-ep3", "results": []}]} | Minbyul/meditron-7b-dpo-full-wo-kqa_silver_wogold-ep3 | null | [
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"text-generation-in... | null | 2024-04-10T11:12:37+00:00 | [] | [] | TAGS
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| meditron-7b-dpo-full-wo-kqa\_silver\_wogold-ep3
===============================================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5793
* Rewards/chosen: -0.1323
* Reward... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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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": []} | Thuy25/Donut | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # aiXcoder-7B Code Large Language Model
<p align="center">
🏠 <a href="https://www.aixcoder.com/" target="_blank">Official website</a>|🛠 <a href="https://marketplace.visualstudio.com/items?itemName=aixcoder-plugin.aixcoder" target="_blank">VS Code Plugin</a>|🛠 <a href="https://plugins.jetbrains.com/plugin/13574-... | {} | TechxGenus/aixcoder-7b-base-GPTQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-10T11:17:40+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| # aiXcoder-7B Code Large Language Model
<p align="center">
<a href="URL target="_blank">Official website</a>| <a href="URL target="_blank">VS Code Plugin</a>| <a href="URL target="_blank">Jetbrains Plugin</a>|<a href="URL target="_blank">Github Project</a>
</p>
GPTQ quantized version of aixcoder-7b-base model.
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# logs
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on an unknown dataset... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b-it", "model-index": [{"name": "logs", "results": []}]} | ZappY-AI/logs | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #region-us
|
# logs
This model is a fine-tuned version of google/gemma-7b-it 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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question-answering | 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. -->
# learn-python-easy-v2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "question-answering", "model-index": [{"name": "learn-python-easy-v2", "results": []}]} | Ikeofai/learn-python-easy-v2 | null | [
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| learn-python-easy-v2
====================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on a samll dataset of 205 examples containing question and answer pairs regarding the Python Programming language for purposes of fine tuning experimentation.
It achieves the following results on the eva... | [
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null | transformers |
# Uploaded model
- **Developed by:** Jacque008
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codellama-34b-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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/codellama-34b-bnb-4bit"} | Jacque008/unsloth_codellama_34b_10246_ori_refer_fwd_epoch1 | null | [
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# Uploaded model
- Developed by: Jacque008
- License: apache-2.0
- Finetuned from model : unsloth/codellama-34b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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"]} | mmpc/Qwen1.5-0.5B-4bit-ft | null | [
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# Model Card for Model ID
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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": []} | sataayu/molt5-augmented-default-200-small-smiles2caption | null | [
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# Model Card for Model ID
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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. -->
# Text_classification_model_10042024
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "Text_classification_model_10042024", "results": []}]} | vishnun0027/Text_classification_model_10042024 | null | [
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| Text\_classification\_model\_10042024
=====================================
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:
* Loss: 0.2287
* Accuracy: 0.9373
Model description
-----------------
More informat... | [
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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": []} | existence-master/bloomify-classification-mistral7b-merged-0.6k-simple | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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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. -->
# led-pubmed-20k
This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-base-b... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "pszemraj/led-base-book-summary", "model-index": [{"name": "led-pubmed-20k", "results": []}]} | Chung-Fan/led-pubmed-20k | null | [
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| led-pubmed-20k
==============
This model is a fine-tuned version of pszemraj/led-base-book-summary on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1066
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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": []} | GeekOfBohemia/whisper-large-llm-lingo-adapters | null | [
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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": []} | likhithasapu/human-ai-bert | 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": ["trl", "sft"]} | mmpc/Qwen1.5-0.5B-base-ft | null | [
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# Model Card for Model ID
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | ifkash/fierygpt_v1 | null | [
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|
# mistral_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 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 |
# 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", "trl", "sft"]} | obamaTeo/mistral-finetune-16bit-ver9-wiki | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0410MPTEST
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MPTEST", "results": []}]} | Litzy619/V0410MPTEST | null | [
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| V0410MPTEST
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1698
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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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. -->
# patent-classification-gpu
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "patent-classification-gpu", "results": []}]} | zgurney/patent-classification-gpu | null | [
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| patent-classification-gpu
=========================
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: 0.1015
* Accuracy: 0.9788
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### 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: 5",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small ar - Atishay Sharma
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["ar"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arab"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small ar - Atishay Sharma", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognit... | atishay23/whisper-small-ar | null | [
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| Whisper Small ar - Atishay Sharma
=================================
This model is a fine-tuned version of openai/whisper-small on the arabic dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0922
* Wer: 4.5455
Model description
-----------------
More information needed
Intended uses ... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "wenbopan/Faro-Yi-9B", "model-index": [{"name": "results/Faro-Yi-9B-DPO", "results": []}]} | theIndividual/Faro-Yi-9B-DPO | null | [
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# results/Faro-Yi-9B-DPO
This model is a fine-tuned version of wenbopan/Faro-Yi-9B on an unknown dataset.
## Model description
More information needed
## Int... | [
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automatic-speech-recognition | null | # Whisper-Large-V3-Illuin-French-openai
This model is [whisper-large-v3-french-illuin](BrunoHays/whisper-large-v3-french-illuin) converted to the format used by the openai pipeline.
All the model's formats can be found in this [collection](https://huggingface.co/collections/illuin/whisper-large-french-illuin-661684f3... | {"language": ["fr"], "license": "cc-by-4.0", "pipeline_tag": "automatic-speech-recognition"} | BrunoHays/whisper-large-v3-french-illuin-openai | null | [
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#automatic-speech-recognition #fr #license-cc-by-4.0 #region-us
| # Whisper-Large-V3-Illuin-French-openai
This model is whisper-large-v3-french-illuin converted to the format used by the openai pipeline.
All the model's formats can be found in this collection
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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": []} | JFernandoGRE/falcon7binstruct_augmenteddemocracy_dups_all4_age | 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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null | null | ## 4xRealWebPhoto_v4_dat2
**Scale:** 4
**Architecture:** DAT
**Author:** Philip Hofmann
**License:** CC-BY-4.0
**Purpose:** Compression Removal, Deblur, Denoise, JPEG, WEBP, Restoration
**Subject:** Photography
**Input Type:** Images
**Date:** 04.04.2024
**Architecture Option:** DAT-2
**I/O Channel... | {"license": "other", "license_name": "cc-by-4.0", "license_link": "https://creativecommons.org/licenses/by/4.0/"} | Phips/4xRealWebPhoto_v4_dat2 | null | [
"onnx",
"license:other",
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#onnx #license-other #region-us
| ## 4xRealWebPhoto_v4_dat2
Scale: 4
Architecture: DAT
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: Compression Removal, Deblur, Denoise, JPEG, WEBP, Restoration
Subject: Photography
Input Type: Images
Date: 04.04.2024
Architecture Option: DAT-2
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Dataset: Nomos8k ... | [
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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. -->
# vit-base-hate-meme
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-hate-meme", "results": []}]} | GauravGrow/vit-base-hate-meme | null | [
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| vit-base-hate-meme
==================
This model is a fine-tuned version of google/vit-base-patch16-224 on the emily49/hateful\_memes\_train\_dev dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6966
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text-generation | transformers |
# Релиз вихря 0.3-0.4
Долили сильно больше данных в sft, теперь стабильнее работает json и multiturn, слегка подточили параметры претрена модели
- [Google Colab](https://colab.research.google.com/drive/15O9LwZhVUa1LWhZa2UKr_B-KOKenJBvv#scrollTo=5EeNFU2-9ERi)
- [GGUF](https://huggingface.co/Vikhrmodels/Vikhr-7B-in... | {"library_name": "transformers", "tags": []} | Vikhrmodels/Vikhr-7B-instruct_0.4 | null | [
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|
# Релиз вихря 0.3-0.4
Долили сильно больше данных в sft, теперь стабильнее работает json и multiturn, слегка подточили параметры претрена модели
- Google Colab
- GGUF
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] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Релиз вихря 0.3-0.4 \n\nДолили сильно больше данных в sft, теперь стабильнее работает json и multiturn, слегка подточили параметры претрена модели\n\n... | [
37,
119
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Релиз вихря 0.3-0.4 \n\nДолили сильно больше данных в sft, теперь стабильнее работает json и multiturn, слегка подточили параметры претрена модели\n\n - Goo... |
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