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text-generation | transformers | # Lovelace Medium Alpha1
550M parameter Transformer-XL style model trained on 100B tokens of The Pile!
This model was originally trained for the "Direct Prefrence Heads" paper, but will also be used as the basis for much of my future research.
All code used to train and run these models is available here: https://git... | {"language": ["en"], "license": "bsd-3-clause", "library_name": "transformers", "datasets": ["EleutherAI/pile"]} | Avelina/lovelace-medium-alpha1 | null | [
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| Lovelace Medium Alpha1
======================
550M parameter Transformer-XL style model trained on 100B tokens of The Pile!
This model was originally trained for the "Direct Prefrence Heads" paper, but will also be used as the basis for much of my future research.
All code used to train and run these models is avai... | [] | [
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-finetuned-multinews
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-ba... | {"license": "apache-2.0", "metrics": ["rouge"], "base_model": "facebook/bart-base", "pipeline_tag": "summarization", "model-index": [{"name": "bart-base-finetuned-multinews", "results": []}]} | Vexemous/bart-base-finetuned-multinews | null | [
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| bart-base-finetuned-multinews
=============================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4152
* Rouge1: 14.6798
* Rouge2: 5.2044
* Rougel: 11.2346
* Rougelsum: 12.9794
* Gen Len: 20.0
Model descri... | [
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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. -->
# BV_symbols_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "BV_symbols_model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "... | diegozambrana/BV_symbols_model | null | [
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| BV\_symbols\_model
==================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9177
* Accuracy: 0.8697
Model description
-----------------
More information needed
Intended uses & limit... | [
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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": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-text-ent-lora-clf-epoch-3 | null | [
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|
# Model Card for Model ID
## 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. -->
# V0424HMA19
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA19", "results": []}]} | Litzy619/V0424HMA19 | null | [
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| V0424HMA19
==========
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: 0.0672
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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null | null |
# UVMap-ID: A Controllable and Personalized UV Map Generative Model
[Paper](https://arxiv.org/abs/2404.14568) | {"license": "apache-2.0"} | Jichaozhang/UVMap-ID | null | [
"arxiv:2404.14568",
"license:apache-2.0",
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|
# UVMap-ID: A Controllable and Personalized UV Map Generative Model
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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. -->
# virus_pythia_14_1024_cross_entropy
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/Eleuther... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "virus_pythia_14_1024_cross_entropy", "results": []}]} | Hack90/virus_pythia_14_1024_cross_entropy | null | [
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|
# virus_pythia_14_1024_cross_entropy
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | 
LostMagic-RP_8B Version 0.42624
Uncensored, Creative, Immersive, Role Play AI
Settings:
```
Prompt Format Chat or Chat Instruct (Silly Tavern Default):
System Message Here
User: input
Bot:
```
Parameters:
```json... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["roleplay", "uncensored", "lewd", "mature", "not-for-all-audiences", "Llama 3", "8b"], "pipeline_tag": "text-generation"} | Dunjeon/lostmagic-RP-GGUF | null | [
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| !image/png
LostMagic-RP_8B Version 0.42624
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-131f_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-131f_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-131f_PasswordMatch | null | [
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|
# robust_llm_pythia-410m_mz-131f_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-70m_mz-131f_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/Eleuther... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-131f_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-131f_IMDB | null | [
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|
# robust_llm_pythia-70m_mz-131f_IMDB
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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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. -->
# V0424HMA20
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA20", "results": []}]} | Litzy619/V0424HMA20 | null | [
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| V0424HMA20
==========
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: 0.0675
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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text-generation | transformers | The tnayaj-8B model is an innovative open-source language model specifically engineered for the biomedical domain. Crafted by Jayant AI Labs, this model harnesses state-of-the-art methodologies to achieve unparalleled performance across various biomedical tasks.
🏥 Specialization in medicine: tnayaj-8B caters to the i... | {"license": "apache-2.0"} | Jayant9928/tnayajv2.0 | null | [
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| The tnayaj-8B model is an innovative open-source language model specifically engineered for the biomedical domain. Crafted by Jayant AI Labs, this model harnesses state-of-the-art methodologies to achieve unparalleled performance across various biomedical tasks.
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text-generation | transformers | <!-- header start -->
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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. -->
# virus_pythia_14_1024_headless
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/py... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "virus_pythia_14_1024_headless", "results": []}]} | Hack90/virus_pythia_14_1024_headless | null | [
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# virus_pythia_14_1024_headless
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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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. -->
# swin-tiny-patch4-window7-224-finetuned-alzheimers
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224]... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-alzheimers", "results": [{"task": {"type": "image-classification", "name": "Image C... | rhlc/swin-tiny-patch4-window7-224-finetuned-alzheimers | null | [
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| swin-tiny-patch4-window7-224-finetuned-alzheimers
=================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8319
* Accuracy: 0.5953
Model description
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maywell/miqu-evil-dpo
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/miqu-evil-dpo-i1-GG... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "maywell/miqu-evil-dpo", "license_link": "LICENSE", "license_name": "miqu-license", "quantized_by": "mradermacher"} | mradermacher/miqu-evil-dpo-GGUF | null | [
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static quants of URL
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | magixn/rl_course_vizdoom_health_gathering_supreme | null | [
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|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
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 Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
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]
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-131f_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/Eleuther... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-131f_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-131f_IMDB | null | [
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|
# robust_llm_pythia-14m_mz-131f_IMDB
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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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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text-generation | transformers |
# 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": []} | tom-brady/6-220 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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-msn-small-finetuned-alzheimers
This model is a fine-tuned version of [facebook/vit-msn-small](https://huggingface.co/faceboo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/vit-msn-small", "model-index": [{"name": "vit-msn-small-finetuned-alzheimers", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"n... | rhlc/vit-msn-small-finetuned-alzheimers | null | [
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| vit-msn-small-finetuned-alzheimers
==================================
This model is a fine-tuned version of facebook/vit-msn-small on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0160
* Accuracy: 0.9969
Model description
-----------------
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vaatsav06/Llama3_medqa1 | 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": []} | Mihaj/wav2vec2-large-uralic-voxpopuli-v2-karelian-CodeSwitching_with_pitch_and_tempo_aug | null | [
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null | transformers |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 2048 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy whe... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "sentence_croissant_alpha_v0.3", "results": [{"task": {"type": "Clustering"}, "dataset": {"name": "MTEB AlloProfClusteringP2P"... | manu/sentence_croissant_alpha_v0.3 | null | [
"sentence-transformers",
"safetensors",
"llama",
"feature-extraction",
"sentence-similarity",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:09:06+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #llama #feature-extraction #sentence-similarity #mteb #model-index #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 2048 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can... | [
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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": []} | Likich/grok-finetune-qualcoding | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | ahGadji/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-26T13:10:50+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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": []} | vaatsav06/Llama3_medqa2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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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": []} | AndersGiovanni/social-llama-3-8b-instructions | null | [
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"arxiv:1910.09700",
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"endpoints_compatible",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-dpo-full
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignmen... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-dpo-full", "results": []}]} | RikkiXu/zephyr-7b-dpo-full | null | [
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"license:apache-2.0",
"autotrain_... | null | 2024-04-26T13:13:29+00:00 | [] | [] | TAGS
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==================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4929
* Rewards/chosen: 21.1860
* Rewards/rejected: 6.2518
* Rewards/accuracies: ... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trocr-base-printed_license_plates_ocr
This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.c... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "trocr-base-printed_license_plates_ocr", "results": []}]} | artbreguez/trocr-base-printed_license_plates_ocr | null | [
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"pytorch",
"tensorboard",
"vision-encoder-decoder",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:14:14+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #region-us
| trocr-base-printed\_license\_plates\_ocr
========================================
This model is a fine-tuned version of microsoft/trocr-base-printed on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1550
* Cer: 0.037
Model description
-----------------
More information ne... | [
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text-generation | mlx |
# mlx-community/Qwen1.5-110B-4bit
This model was converted to MLX format from [`Qwen/Qwen1.5-110B`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-110B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm impor... | {"language": ["en"], "license": "other", "tags": ["pretrained", "mlx"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-110B-4bit | null | [
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"qwen2",
"pretrained",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
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"en"
] | TAGS
#mlx #safetensors #qwen2 #pretrained #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-110B-4bit
This model was converted to MLX format from ['Qwen/Qwen1.5-110B']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | mlx |
# mlx-community/Qwen1.5-110B-8bit
This model was converted to MLX format from [`Qwen/Qwen1.5-110B`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-110B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm impor... | {"language": ["en"], "license": "other", "tags": ["pretrained", "mlx"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-110B-8bit | null | [
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#mlx #safetensors #qwen2 #pretrained #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-110B-8bit
This model was converted to MLX format from ['Qwen/Qwen1.5-110B']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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... | AndrewBJ/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-26T13:21:18+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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] |
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. -->
# results-Meta-Llama-3-8B-tagllm-pos-1-reserved-unsloth
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https:... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "results-Meta-Llama-3-8B-tagllm-pos-1-reserved-unsloth", "results": []}]} | AlienKevin/Meta-Llama-3-8B-tagllm-pos-1-reserved-unsloth | null | [
"peft",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:llama2",
"region:us"
] | null | 2024-04-26T13:21:43+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-3-8b-bnb-4bit #license-llama2 #region-us
| results-Meta-Llama-3-8B-tagllm-pos-1-reserved-unsloth
=====================================================
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7917
Model description
-----------------
More in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#peft #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-3-8b-bnb-4bit #license-llama2 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size:... | [
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text-generation | mlx |
# mlx-community/Qwen1.5-110B-Chat-4bit
This model was converted to MLX format from [`Qwen/Qwen1.5-110B-Chat`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-110B-Chat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
fr... | {"language": ["en"], "license": "other", "tags": ["chat", "mlx"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-110B-Chat-4bit | null | [
"mlx",
"safetensors",
"qwen2",
"chat",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-26T13:22:28+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #qwen2 #chat #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-110B-Chat-4bit
This model was converted to MLX format from ['Qwen/Qwen1.5-110B-Chat']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Qwen1.5-110B-Chat-4bit\nThis model was converted to MLX format from ['Qwen/Qwen1.5-110B-Chat']() using mlx-lm version 0.12.0.\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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"TAGS\n#mlx #safetensors #qwen2 #chat #text-generation #conversational #en #license-other #region-us \n# mlx-community/Qwen1.5-110B-Chat-4bit\nThis model was converted to MLX format from ['Qwen/Qwen1.5-110B-Chat']() using mlx-lm version 0.12.0.\nRefer to the original model card for more details on the model.## Use ... |
text-generation | mlx |
# mlx-community/Qwen1.5-110B-Chat-8bit
This model was converted to MLX format from [`Qwen/Qwen1.5-110B-Chat`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-110B-Chat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
fr... | {"language": ["en"], "license": "other", "tags": ["chat", "mlx"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-110B-Chat-8bit | null | [
"mlx",
"safetensors",
"qwen2",
"chat",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-26T13:22:53+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #qwen2 #chat #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-110B-Chat-8bit
This model was converted to MLX format from ['Qwen/Qwen1.5-110B-Chat']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Qwen1.5-110B-Chat-8bit\nThis model was converted to MLX format from ['Qwen/Qwen1.5-110B-Chat']() using mlx-lm version 0.12.0.\nRefer to the original model card for more details on the model.",
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"TAGS\n#mlx #safetensors #qwen2 #chat #text-generation #conversational #en #license-other #region-us \n# mlx-community/Qwen1.5-110B-Chat-8bit\nThis model was converted to MLX format from ['Qwen/Qwen1.5-110B-Chat']() using mlx-lm version 0.12.0.\nRefer to the original model card for more details on the model.## Use ... |
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-7b-instruct-v0.2-bnb-4bit1024
This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "unsloth", "unsloth", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit", "model-index": [{"name": "mistral-7b-instruct-v0.2-bnb-4bit1024", "results": []}]} | 12yuens2/hotpotqa-unsloth-mistral-7b-4bit-1024 | null | [
"peft",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T13:26:20+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #region-us
| mistral-7b-instruct-v0.2-bnb-4bit1024
=====================================
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6953
Model description
-----------------
More information needed
... | [
"### 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* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eva... | [
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"TAGS\n#peft #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #region-us \n### 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\\_ba... |
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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-be... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | mikaya-vu/my_awesome_eli5_clm-model | null | [
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"bert",
"text-classification",
"generated_from_trainer",
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"base_model:google-bert/bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:26:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #dataset-eli5_category #base_model-google-bert/bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of google-bert/bert-base-uncased on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0890
Model description
-----------------
More information needed
Intended uses & limit... | [
"### 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: 3.0",
"### Traini... | [
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null | diffusers | # Marigold Normals (LCM) Model Card
This model belongs to the family of diffusion-based Marigold models for solving various computer vision tasks.
The Marigold Normals model focuses on the surface normals task.
It takes an input image and computes surface normals in each pixel.
The LCM stands for Latent Consistency Mo... | {"language": ["en"], "license": "apache-2.0", "tags": ["monocular normals estimation", "single image normals estimation", "normals", "in-the-wild", "zero-shot", "LCM"], "pipeline_tag": "normals-estimation"} | prs-eth/marigold-normals-lcm-v0-1 | null | [
"diffusers",
"safetensors",
"monocular normals estimation",
"single image normals estimation",
"normals",
"in-the-wild",
"zero-shot",
"LCM",
"normals-estimation",
"en",
"arxiv:2312.02145",
"license:apache-2.0",
"diffusers:MarigoldPipeline",
"region:us"
] | null | 2024-04-26T13:27:15+00:00 | [
"2312.02145"
] | [
"en"
] | TAGS
#diffusers #safetensors #monocular normals estimation #single image normals estimation #normals #in-the-wild #zero-shot #LCM #normals-estimation #en #arxiv-2312.02145 #license-apache-2.0 #diffusers-MarigoldPipeline #region-us
| # Marigold Normals (LCM) Model Card
This model belongs to the family of diffusion-based Marigold models for solving various computer vision tasks.
The Marigold Normals model focuses on the surface normals task.
It takes an input image and computes surface normals in each pixel.
The LCM stands for Latent Consistency Mo... | [
"# Marigold Normals (LCM) Model Card\n\nThis model belongs to the family of diffusion-based Marigold models for solving various computer vision tasks.\nThe Marigold Normals model focuses on the surface normals task.\nIt takes an input image and computes surface normals in each pixel.\nThe LCM stands for Latent Cons... | [
"TAGS\n#diffusers #safetensors #monocular normals estimation #single image normals estimation #normals #in-the-wild #zero-shot #LCM #normals-estimation #en #arxiv-2312.02145 #license-apache-2.0 #diffusers-MarigoldPipeline #region-us \n",
"# Marigold Normals (LCM) Model Card\n\nThis model belongs to the family of ... | [
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | oukwuaba/code-llama-7b-text-to-sql | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:codellama/CodeLlama-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-26T13:28:44+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
"# code-llama-7b-text-to-sql\n\nThis model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Traini... | [
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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"} | MD1998/chating_beginners_v1 | null | [
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"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T13:30:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | Just a simple modal using Yolov8 for Image Classification task on the dataset IP102 with 20 classes extracted based on image amount. | {"license": "apache-2.0"} | Khieminem/ip102-yolov8-imgcls | null | [
"onnx",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T13:30:40+00:00 | [] | [] | TAGS
#onnx #license-apache-2.0 #region-us
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text-generation | transformers | # finetune chinese Meta Llama3 Instruct 8b with Llama-Factory
```
“top.model_name": "LLaMA3-8B-Chat",
"top.finetuning_type": "lora",
"top.adapter_path": [],
"top.quantization_bit": "none",
"top.template": "llama3",
"top.rope_scaling": "none",
top.booster": "none",
"train.training_stage": "Supervised Fine-Tuning",
"trai... | {"license": "apache-2.0"} | pooka74/LLaMA3-8B-Chat-Chinese | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T13:32:01+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # finetune chinese Meta Llama3 Instruct 8b with Llama-Factory
| [
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# finetune chinese Meta Llama3 Instruct 8b with Llama-Factory"
] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_mz-131f_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/Eleuther... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-131f_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-131f_IMDB | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T13:33:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-31m_mz-131f_IMDB
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# robust_llm_pythia-31m_mz-131f_IMDB\n\nThis model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
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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-patch16-224-dmae-va-U5-100-3i
This model was trained from scratch on an unknown dataset.
It achieves the following resu... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-100-3i", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-100-3i | null | [
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"tensorboard",
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"image-classification",
"generated_from_trainer",
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#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-dmae-va-U5-100-3i
======================================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5087
* Accuracy: 0.8667
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | dguzh/geo-all-MiniLM-L6-v2 | null | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:35:46+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b1-finetuned-cityscapes-1024-1024-straighter-only-test
This model is a fine-tuned version of [nvidia/segformer-b1-fine... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "nvidia/segformer-b1-finetuned-cityscapes-1024-1024", "model-index": [{"name": "segformer-b1-finetuned-cityscapes-1024-1024-straighter-only-test", "results": []}]} | selvaa/segformer-b1-finetuned-cityscapes-1024-1024-straighter-only-test | null | [
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"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:40:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-nvidia/segformer-b1-finetuned-cityscapes-1024-1024 #license-other #endpoints_compatible #region-us
| segformer-b1-finetuned-cityscapes-1024-1024-straighter-only-test
================================================================
This model is a fine-tuned version of nvidia/segformer-b1-finetuned-cityscapes-1024-1024 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0319
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 60\n* mixed\\_prec... | [
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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... | mosterdslop/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-26T13:41:28+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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] |
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. -->
# llama3-8b-sft-qlora-re
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-8b-sft-qlora-re", "results": []}]} | xahilmalik/llama3-8b-sft-qlora-re | null | [
"peft",
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"region:us"
] | null | 2024-04-26T13:41:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
|
# llama3-8b-sft-qlora-re
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B 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 hyperp... | [
"# llama3-8b-sft-qlora-re\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proc... | [
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"## Model description\n\nMore information needed",
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | dguzh/geo-all-distilroberta-v1 | null | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:42:11+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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text-generation | 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. -->
# dsfdsf2/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unk... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "dsfdsf2/distilgpt2-finetuned-wikitext2", "results": []}]} | dsfdsf2/distilgpt2-finetuned-wikitext2 | null | [
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"tensorboard",
"gpt2",
"text-generation",
"generated_from_keras_callback",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T13:45:07+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| dsfdsf2/distilgpt2-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.8581
* Validation Loss: 3.6729
* Epoch: 0
Model description
-----------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
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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/chargoddard/llama3-42b-v0
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/llama3-42b-v0-G... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "mergekit", "llama"], "datasets": ["JeanKaddour/minipile"], "base_model": "chargoddard/llama3-42b-v0", "quantized_by": "mradermacher"} | mradermacher/llama3-42b-v0-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. ... | [] | [
"TAGS\n#transformers #gguf #axolotl #mergekit #llama #en #dataset-JeanKaddour/minipile #base_model-chargoddard/llama3-42b-v0 #license-llama3 #endpoints_compatible #region-us \n"
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] |
null | transformers |
# itayl/Hebrew-Mistral-7B-Q5_K_M-GGUF
This model was converted to GGUF format from [`yam-peleg/Hebrew-Mistral-7B`](https://huggingface.co/yam-peleg/Hebrew-Mistral-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://... | {"language": ["en", "he"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | itayl/Hebrew-Mistral-7B-Q5_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"he",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:46:49+00:00 | [] | [
"en",
"he"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #en #he #license-apache-2.0 #endpoints_compatible #region-us
|
# itayl/Hebrew-Mistral-7B-Q5_K_M-GGUF
This model was converted to GGUF format from 'yam-peleg/Hebrew-Mistral-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:
... | [
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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": []} | Likich/llama3-finetune-qualcoding | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T13:47:16+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** richie-ghost
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | richie-ghost/llama-3b-unsloth-quantized_merged | null | [
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|
# Uploaded model
- Developed by: richie-ghost
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# job_postings_mlm_model_450k
This model is a fine-tuned version of [giyoung-kwon-0902/job_postings_mlm_model_400k](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "giyoung-kwon-0902/job_postings_mlm_model_400k", "model-index": [{"name": "job_postings_mlm_model_450k", "results": []}]} | giyoung-kwon-0902/job_postings_mlm_model_450k | null | [
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| job\_postings\_mlm\_model\_450k
===============================
This model is a fine-tuned version of giyoung-kwon-0902/job\_postings\_mlm\_model\_400k on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1113
Model description
-----------------
More information needed
Inten... | [
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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": []} | pesc101/Mistral-7B-Instruct-v0.2-lbl-2x | 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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
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static quants of https://huggingface.co/Zangs3011/llama3_8B_norobots
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "Zangs3011/llama3_8B_norobots", "quantized_by": "mradermacher"} | mradermacher/llama3_8B_norobots-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
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static quants of https://huggingface.co/aipib/sakana-dareties2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-base-gamma-7b", "augmxnt/shisa-gamma-7b-v1"], "base_model": "aipib/sakana-dareties2", "quantized_by": "mradermacher"} | mradermacher/sakana-dareties2-GGUF | null | [
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| About
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static quants of URL
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null | null | Just an imatrix quant of https://huggingface.co/jeiku/Fett-uccine_Mini_3B_GGUF to use on non-flagship smartphones. | {} | BlueNipples/Fett-uccine_Mini_3B-q2k-imat_GGUF | null | [
"gguf",
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#gguf #region-us
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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. -->
# sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat
This model is a fine-tuned version of [sanchit-gandhi/distil-zephyr-1.5b-ssft-u... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat", "model-index": [{"name": "sanchit-gandhi/distil-zephyr-1.5b-ssft-ultracha... | sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat-200k | null | [
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"endpoi... | null | 2024-04-26T13:56:34+00:00 | [] | [] | TAGS
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================================================
This model is a fine-tuned version of sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat on the HuggingFaceH4/ultrachat\_200k dataset.
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* Loss: 1.1555
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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": []} | Rimyy/TentativeGemma1epEv | null | [
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null | transformers |
# Uploaded model
- **Developed by:** sravaniayyagari
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b
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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b"} | sravaniayyagari/llama3_finetuned_1 | null | [
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# Uploaded model
- Developed by: sravaniayyagari
- License: apache-2.0
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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": []} | FounderNest/mistral-7b-instruct-classifier-fit-assessment-finetuned-v3.4 | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RNAMamba-14M-Contrastive
This model is a fine-tuned version of [afg1/RNAMamba-14M](https://huggingface.co/afg1/RNAMamba-14M) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "afg1/RNAMamba-14M", "model-index": [{"name": "RNAMamba-14M-Contrastive", "results": []}]} | afg1/RNAMamba-14M-Contrastive | null | [
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# RNAMamba-14M-Contrastive
This model is a fine-tuned version of afg1/RNAMamba-14M on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
# Uploaded model
- **Developed by:** richie-ghost
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | richie-ghost/llama-3b-unsloth-quantized_lora | null | [
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|
# Uploaded model
- Developed by: richie-ghost
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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-7b-hf-platypus_vxxiii-chat-added_lamini_v2
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v2", "results": []}]} | NassimB/mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v2 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v2
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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"## Intended uses & limitations\n\nMore information needed",
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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", "base_mo... | PrunaAI/cognitivecomputations-dolphin-2.9-llama3-8b-AWQ-4bit-smashed | null | [
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] | null | 2024-04-26T14:04:34+00:00 | [] | [] | TAGS
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|
<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>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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token-classification | transformers |
# SOTA Entity Recognition English Foundation Model by NuMind 🔥
This model provides the best embedding for the Entity Recognition task in English. It is an improved version of the model from our [**paper**](https://arxiv.org/abs/2402.15343).
**Checkout other models by NuMind:**
* SOTA Multilingual Entity Recognition... | {"language": ["en"], "license": "mit", "tags": ["token-classification", "entity-recognition", "foundation-model", "feature-extraction", "RoBERTa", "generic"], "datasets": ["numind/NuNER"], "pipeline_tag": "token-classification", "inference": false} | numind/NuNER-v2.0 | null | [
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| SOTA Entity Recognition English Foundation Model by NuMind
==========================================================
This model provides the best embedding for the Entity Recognition task in English. It is an improved version of the model from our paper.
Checkout other models by NuMind:
* SOTA Multilingual Entit... | [] | [
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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. -->
# GPT2WaP
This model is a [gpt2](https://huggingface.co/gpt2) model trained from scratch on the War and peace book.
It achieves th... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "GPT2WaP", "results": []}]} | Kasdeja23/GPT2WaP | null | [
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"region:us"
] | null | 2024-04-26T14:06:14+00:00 | [] | [] | TAGS
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| GPT2WaP
=======
This model is a gpt2 model trained from scratch on the War and peace book.
It achieves the following results on the evaluation set:
* Loss: 9.0987
* Perplexity: 8943.6289
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
"### 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* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 512... | [
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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 large urdu - huzaifa
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-... | {"language": ["ur"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper large urdu - huzaifa", "results": []}]} | huzaifa1117/whisper-large-urdu-3 | null | [
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|
# Whisper large urdu - huzaifa
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# Whisper large urdu - huzaifa\n\nThis model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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-7b-hf-platypus_vxxiii-chat-added_lamini_v3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v3", "results": []}]} | NassimB/mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v3 | null | [
"peft",
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"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T14:08:32+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
"# mistral-7b-hf-platypus_vxxiii-chat-added_lamini_v3\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
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text-generation | transformers |
# MixtureOfPhi3
<p align="center">
<img src="https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F11201acc-4089-416d-921b-cbd71fbf8ddb_1024x1024.jpeg" width="300" class="center"/>
</p>
**MixtureOfPhi3** is a Mixure of Exp... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "phi3_mergekit", "microsoft/Phi-3-mini-128k-instruct"], "base_model": ["microsoft/Phi-3-mini-128k-instruct", "microsoft/Phi-3-mini-128k-instruct"]} | paulilioaica/MixtureOfPhi3 | null | [
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"merge",
"mergekit",
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"conversational",
"custom_code",
"base_model:microsoft/Phi-3-mini-128k-instruct",
"license:apache-2.0",
"autotrain_... | null | 2024-04-26T14:08:38+00:00 | [] | [] | TAGS
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|
# MixtureOfPhi3
<p align="center">
<img src="URL width="300" class="center"/>
</p>
MixtureOfPhi3 is a Mixure of Experts (MoE) made with the following models using mergekit:
* Phi-3-mini-128k-instruct
* Phi-3-mini-128k-instruct
This has been created using LazyMergekit-Phi3
This run is only for development purpose... | [
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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. -->
# esm2_t130_150M-lora-classifier_2024-04-26_10-08-51
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t130_150M-lora-classifier_2024-04-26_10-08-51", "results": []}]} | wcvz/esm2_t130_150M-lora-classifier_2024-04-26_10-08-51 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:facebook/esm2_t30_150M_UR50D",
"license:mit",
"region:us"
] | null | 2024-04-26T14:08:51+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t30_150M_UR50D #license-mit #region-us
| esm2\_t130\_150M-lora-classifier\_2024-04-26\_10-08-51
======================================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4537
* Accuracy: 0.8984
Model description
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0008701568055793088\n* train\\_batch\\_size: 28\n* eval\\_batch\\_size: 28\n* seed: 8893\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs:... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "PixelCopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v0"}, "m... | i-pj/PixelCopter | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
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 |
<!-- 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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | Praveen0309/llava-1.5-7b-hf-ft-mix-vsft | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.03381425514817238
f1_macro: 0.9910410929202866
f1_micro: 0.9908675799086758
f1_weighted: 0.9908473335613555
precision_macro: 0.9909727371947719
precision_micro: 0.9908675799086758
precision_weighted: 0.99088831512... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-pmf0g-rj8fa/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | borggAI/alpha-prompt-classification | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.03381425514817238
f1_macro: 0.9910410929202866
f1_micro: 0.9908675799086758
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precision_macro: 0.9909727371947719
precision_micro: 0.9908675799086758
precision_weighted: 0.99088831512... | [
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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": []} | FounderNest/Mistral-7B-Instruct-v0.2-AWQ-classifier-fit-assessment-finetuned-v3.4 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - fatimaaa1/model2
<Gallery />
## Model description
These are fatimaaa1/model2 LoRA adaption wei... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", ... | fatimaaa1/model2 | null | [
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"license:openrail++",
"region:us"
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#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - fatimaaa1/model2
<Gallery />
## Model description
These are fatimaaa1/model2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: fatimaaa1/model2/va... | [
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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": []} | Ayon128/code-mixed_Banglish_English_0 | null | [
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"t5",
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"arxiv:1910.09700",
"autotrain_compatible",
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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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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. -->
# privacy-200k-masking
This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "privacy-200k-masking", "results": []}]} | taro-pudding/privacy-200k-masking | null | [
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|
# privacy-200k-masking
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | savanladani/nividous-7b-sft-lora | null | [
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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": []} | Ayon128/code-mixed_Banglish_English_1 | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speech_ocean_hubert_mdd
This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hube... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/hubert-large-ll60k", "model-index": [{"name": "speech_ocean_hubert_mdd", "results": []}]} | nrshoudi/speech_ocean_hubert_mdd | null | [
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| speech\_ocean\_hubert\_mdd
==========================
This model is a fine-tuned version of facebook/hubert-large-ll60k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2027
* Wer: 0.0517
* Cer: 0.0499
Model description
-----------------
More information needed
Intende... | [
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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": []} | Ayon128/code-mixed_Banglish_English_2 | 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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visual-question-answering | 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": []} | Entreprenerdly/blip2-opt-2.7b-fp16-sharded | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-dmae-va-U5-100-iN
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-100-iN", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-100-iN | null | [
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| vit-base-patch16-224-dmae-va-U5-100-iN
======================================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6381
* Accuracy: 0.8667
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dsfdsf2/distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/disti... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilroberta-base", "model-index": [{"name": "dsfdsf2/distilroberta-base-finetuned-wikitext2", "results": []}]} | dsfdsf2/distilroberta-base-finetuned-wikitext2 | null | [
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"license:apache-2.0",
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#transformers #tf #roberta #fill-mask #generated_from_keras_callback #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| dsfdsf2/distilroberta-base-finetuned-wikitext2
==============================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.1556
* Validation Loss: 1.8940
* Epoch: 0
Model description
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
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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": []} | Ayon128/code-mixed_Banglish_English_4 | null | [
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"t5",
"text2text-generation",
"arxiv:1910.09700",
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] | null | 2024-04-26T14:18:24+00:00 | [
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] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License... | [
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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": []} | Ayon128/code-mixed_Banglish_English_3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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null | null |
# sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF
This model was converted to GGUF format from [`davanstrien/TinyLlama-1.1B-Chat-v1.0-intel-dpo`](https://huggingface.co/davanstrien/TinyLlama-1.1B-Chat-v1.0-intel-dpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-r... | {"language": ["en"], "license": "apache-2.0", "tags": ["dpo", "llama-cpp", "gguf-my-repo"], "datasets": ["argilla/distilabel-intel-orca-dpo-pairs"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF | null | [
"gguf",
"dpo",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:argilla/distilabel-intel-orca-dpo-pairs",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T14:20:02+00:00 | [] | [
"en"
] | TAGS
#gguf #dpo #llama-cpp #gguf-my-repo #en #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF
This model was converted to GGUF format from 'davanstrien/TinyLlama-1.1B-Chat-v1.0-intel-dpo' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL se... | [
"# sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'davanstrien/TinyLlama-1.1B-Chat-v1.0-intel-dpo' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"# sbawa/TinyLlama-1.1B-Chat-v1.0-intel-dpo-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'davanstrien/TinyLlama-1.1B-Chat-... | [
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