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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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | sunfu-chou/codeparrot-ds | null | [
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| codeparrot-ds
=============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Tra... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 192\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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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. -->
# Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold1
This model is a fine-tuned version of [microsoft/swin-tiny-patch4... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold1", "results": [{"task": {"type": "image-classification", "na... | onizukal/Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold1 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_Swin-tiny-patch4-window16-256\_fold1
===================================================================
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: 1.0982
* A... | [
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translation | 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. -->
# MistralAI_iwslt15_10000
This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "translation", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-bnb-4bit", "model-index": [{"name": "MistralAI_iwslt15_10000", "results": []}]} | Tohrumi/MistralAI_iwslt15_10000 | null | [
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| MistralAI\_iwslt15\_10000
=========================
This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5245
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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text-generation | transformers | # Finetune-Llama3🦙-genertate-python-code**
--
- **Developed by:** Wittawat Kitipatthavorn
- **License:** llama 3 https://llama.meta.com/llama3/license/
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
--
** Unsloth
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) ... | {"language": ["en"], "license": "llama3", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["flytech/python-codes-25k"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | wttw/Llama3-8b-GenDS | null | [
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| # Finetune-Llama3-genertate-python-code
--
- Developed by: Wittawat Kitipatthavorn
- License: llama 3 URL
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
--
Unsloth
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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null | null | # PostureCraft: Controllable Human Pose Generation with Diffusion Models
Multiple posture control models (based on ControlNet) are presented in this repo. We show that our models have better performance and also better results over existing models in human posture control.
## Segmented Depth Model
avaiable at `segm... | {} | akina/5340_project | null | [
"region:us"
] | null | 2024-04-25T07:39:46+00:00 | [] | [] | TAGS
#region-us
| # PostureCraft: Controllable Human Pose Generation with Diffusion Models
Multiple posture control models (based on ControlNet) are presented in this repo. We show that our models have better performance and also better results over existing models in human posture control.
## Segmented Depth Model
avaiable at 'URL'... | [
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [facebook/blenderbot_small-90M](https://huggingface.co/facebook/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "facebook/blenderbot_small-90M", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | willw9758/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of facebook/blenderbot\_small-90M on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0597
Model description
-----------------
More information needed
Intended uses & limi... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enhi-st-mde | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | 
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
[GGUF,... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | zaq-hack/ChaoticSoliloquy-4x8B-bpw600-h6-exl2-rpcal | null | [
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| !image/png
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
GGUF, Exl2
### ChaoticSoliloquy-4x8B
## Models used
- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B
- jeiku/Chaos_... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** AndromedaPL
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | AndromedaPL/Prometheus-v0.1 | null | [
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|
# Uploaded model
- Developed by: AndromedaPL
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | 
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
[GGUF,... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | zaq-hack/ChaoticSoliloquy-4x8B-bpw500-h6-exl2-rpcal | null | [
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| !image/png
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
GGUF, Exl2
### ChaoticSoliloquy-4x8B
## Models used
- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B
- jeiku/Chaos_... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# model_dl_22
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "model_dl_22", "results": []}]} | 21bce239/model_dl_22 | null | [
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|
# model_dl_22
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw4.4 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
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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": []} | 21bce239/tokenizer_dl_22 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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 |
# Uploaded model
- **Developed by:** MilaNguyen
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | MilaNguyen/sft_summary | null | [
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# Uploaded 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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descrip... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | zhuchi76/codeparrot-ds | null | [
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|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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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": []} | happylayers/sc18 | null | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# model_dl_1y
This model is a fine-tuned version of [huggingface-course/bert-finetuned-squad](https://huggingface.co/huggingface-course/... | {"tags": ["generated_from_keras_callback"], "base_model": "huggingface-course/bert-finetuned-squad", "model-index": [{"name": "model_dl_1y", "results": []}]} | 21bce239/model_dl_1y | null | [
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|
# model_dl_1y
This model is a fine-tuned version of huggingface-course/bert-finetuned-squad on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
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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. -->
# asr_model_french
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-french](https://huggingface.co/jon... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "base_model": "jonatasgrosman/wav2vec2-large-xlsr-53-french", "model-index": [{"name": "asr_model_french", "results": []}]} | Ponyyyy/asr_model_french | null | [
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|
# asr_model_french
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-french on the minds14 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9463
- eval_wer: 0.9535
- eval_runtime: 0.8229
- eval_samples_per_second: 7.292
- eval_steps_per_second: 1.215
- epoch... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- 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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descrip... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | uwwee/codeparrot-ds | null | [
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# codeparrot-ds
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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. -->
# Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold2
This model is a fine-tuned version of [microsoft/swin-tiny-patch4... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold2", "results": [{"task": {"type": "image-classification", "na... | onizukal/Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold2 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_Swin-tiny-patch4-window16-256\_fold2
===================================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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": []} | Noboru-Ta/bert-base-japanese-v3-jsts | null | [
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null | transformers |
# Uploaded model
- **Developed by:** AndromedaPL
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | AndromedaPL/Prometheus-v0.1-LoRA | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 2504v1
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504v1", "results": []}]} | adriansanz/2504v1 | null | [
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| 2504v1
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5947
* Accuracy: 0.8655
* Precision: 0.8655
* Recall: 0.8655
* F1: 0.8655
* Ratio: 0.5
Model description
-----------------
Punto, ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw4.6 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"language": ["ko"], "library_name": "peft", "datasets": ["JosephLee/society_textbook_elementary_kor"], "base_model": "google/gemma-1.1-2b-it"} | JosephLee/society_textbook_gemma_2B | null | [
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# Model Card for Model ID
## Model Details
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### Model Sources [optional]
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-qlora-ultrachat
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llam... | {"license": "llama2", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama-7b-qlora-ultrachat", "results": []}]} | Danny-Moldovan/llama-7b-qlora-ultrachat | null | [
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|
# llama-7b-qlora-ultrachat
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enhi-sb1-mde | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-feature-extraction | transformers |
M3D-CLIP is one of the works in the [M3D](https://github.com/BAAI-DCAI/M3D) series.
It is a 3D medical CLIP model that aligns vision and language through contrastive loss on the [M3D-Cap](https://huggingface.co/datasets/GoodBaiBai88/M3D-Cap) dataset.
The vision encoder uses 3D ViT with 32\*256\*256 image size and 4\*... | {"license": "apache-2.0", "tags": ["3D medical CLIP", "Image-text retrieval"], "metrics": ["accuracy"], "pipeline_tag": "image-feature-extraction"} | GoodBaiBai88/M3D-CLIP | null | [
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M3D-CLIP is one of the works in the M3D series.
It is a 3D medical CLIP model that aligns vision and language through contrastive loss on the M3D-Cap dataset.
The vision encoder uses 3D ViT with 32\*256\*256 image size and 4\*16\*16 patch size.
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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. -->
# codeparrot-ds
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
## M... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | Wellyowo/codeparrot-ds | null | [
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|
# codeparrot-ds
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The followin... | [
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text-generation | transformers |
# Gemma 2B Translation v0.125
- Eval Loss: `0.80386`
- Train Loss: `0.75039`
- lr: `6e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>##English##
Hamsters don't eat cats.
##Korean##
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos>##Korean##
햄스터는 고양이를 먹지 않습니다.
##English##
Hamsters do no... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "widget": [{"messages": [{"role": "user", "content": "Hamsters don't eat cats."}]}], "base_model": "beomi/gemma-ko-2b", "pipeline_tag": "text-generation"} | lemon-mint/gemma-2b-translation-v0.125 | null | [
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|
# Gemma 2B Translation v0.125
- Eval Loss: '0.80386'
- Train Loss: '0.75039'
- lr: '6e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
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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. -->
# codeparrot-ds-distilgpt2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "codeparrot-ds-distilgpt2", "results": []}]} | zhuchi76/codeparrot-ds-distilgpt2 | null | [
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|
# codeparrot-ds-distilgpt2
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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text-generation | transformers | <div align="center">
# KobbleTinyV2-1.1B
</div>
This is a finetune of https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T trained on a small 50mb subset of the Kobble Dataset.
Training was done in under 2 hours on a single Nvidia RTX 2060 Mobile GPU with qLora (LR 1.5e-4, rank 8, alpha 16, bat... | {"language": ["en"], "license": "apache-2.0"} | concedo/KobbleTinyV2-1.1B | null | [
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| <div align="center">
# KobbleTinyV2-1.1B
</div>
This is a finetune of URL trained on a small 50mb subset of the Kobble Dataset.
Training was done in under 2 hours on a single Nvidia RTX 2060 Mobile GPU with qLora (LR 1.5e-4, rank 8, alpha 16, batch size 2, gradient acc. 4, 2048 ctx).
You can obtain the GGUF quanti... | [
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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": []} | xp0tat0/farmer_1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | vilmay/OrpoLlama-3-8B | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ank028/phi-2-arc-en | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun01](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01", "motherfucker0/zhun02"]} | motherfucker0/zhen06 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun01
* motherfucker0/zhun02
### Configuration
The following YAM... | [
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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. -->
# V0424MADP1
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": "V0424MADP1", "results": []}]} | Litzy619/V0424MADP1 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424MADP1
==========
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: 0.1465
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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-qlora-translation-no-lang
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://hug... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "results-Meta-Llama-3-8B-qlora-translation-no-lang", "results": []}]} | AlienKevin/Meta-Llama-3-8B-qlora-translation-no-lang | null | [
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=================================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8660
Model description
-----------------
More information n... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw4.8 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
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<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/c-s-ale/RiddleLegalEasy
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "c-s-ale/RiddleLegalEasy", "quantized_by": "mradermacher"} | mradermacher/RiddleLegalEasy-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-c-s-ale/RiddleLegalEasy #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
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If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | # Model Details
## Model Description
<!-- Provide a longer summary of what this model is/does. -->
POLAR is a Korean LLM developed by Plateer's AI-lab. It was inspired by Upstage's SOLAR. We will continue to evolve this model and hope to contribute to the Korean LLM ecosystem.
- **Devel... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | x2bee/POLAR-14B-v0.2 | null | [
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| # Model Details
!logo
## Model Description
POLAR is a Korean LLM developed by Plateer's AI-lab. It was inspired by Upstage's SOLAR. We will continue to evolve this model and hope to contribute to the Korean LLM ecosystem.
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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/cloudyu/Meta-Llama-3-70B-Instruct-DPO
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Met... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "cloudyu/Meta-Llama-3-70B-Instruct-DPO", "quantized_by": "mradermacher"} | mradermacher/Meta-Llama-3-70B-Instruct-DPO-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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null | null | git clone https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-onnx
git clone https://huggingface.co/microsoft/Phi-3-mini-128k-instruct-onnx
pip install numpy
pip install --pre onnxruntime-genai-directml
pip install numpy
pip install --pre onnxruntime-genai
| {} | Itsmade/Ph3 | null | [
"region:us"
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#region-us
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git clone URL
pip install numpy
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pip install numpy
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enhi-sb2-mde | null | [
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#transformers #safetensors #deberta-v2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# lab7_prec
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
## Model... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "lab7_prec", "results": []}]} | Tuteldove/lab7_prec | null | [
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|
# lab7_prec
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following 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. -->
# Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold3
This model is a fine-tuned version of [microsoft/swin-tiny-patch4... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold3", "results": [{"task": {"type": "image-classification", "na... | onizukal/Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold3 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_Swin-tiny-patch4-window16-256\_fold3
===================================================================
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: 1.1006
* A... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resume_flan_T5_v2
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "resume_flan_T5_v2", "results": []}]} | boluxo/resume_flan_T5_v2 | null | [
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| resume\_flan\_T5\_v2
====================
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.3641
* Rouge1: 0.1739
* Rouge2: 0.0549
* Rougel: 0.1394
* Rougelsum: 0.1444
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 45",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_v2
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_v2", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_v2 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_v2
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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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. -->
# lab7_model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
## Mode... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "lab7_model", "results": []}]} | ChiJuiChen/lab7_model | null | [
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|
# lab7_model
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following h... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [motherfucker0/zhun01](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun01", "motherfucker0/zhun02"]} | motherfucker0/zhen07 | null | [
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"autotrain_compatible",
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhun01
* motherfucker0/zhun02
### Configuration
The following YAM... | [
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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. -->
# codeparrot-ds
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
## M... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | leowang707/codeparrot-ds | null | [
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|
# codeparrot-ds
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The followin... | [
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null | transformers |
It's a transformer trained to conjugate the imperfect tense in German. It's currently a test to make transformers in PyTorch.
It actually kind of works so I'm happy :D | {"language": ["fr", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["pytorch"]} | GPT007/PrateritumGPT | null | [
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|
It's a transformer trained to conjugate the imperfect tense in German. It's currently a test to make transformers in PyTorch.
It actually kind of works so I'm happy :D | [] | [
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text-generation | transformers |
This repository contains the AWQ quantized version of the [`NurtureAI/Meta-Llama-3-8B-Instruct-64k`](https://huggingface.co/NurtureAI/Meta-Llama-3-8B-Instruct-64k) model.
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction t... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq | null | [
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| This repository contains the AWQ quantized version of the 'NurtureAI/Meta-Llama-3-8B-Instruct-64k' model.
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The L... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw5 | null | [
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
"### Data sources\n\n\nThere are many data sources used in the bagel models. See URL for more information.\n\n\n***Only train splits are used, and a decontamination by cosine similarity is performed at the end as a sanity check against common benchmarks. If you don't know the difference between train and test, plea... | [
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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. -->
# 2504v2
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504v2", "results": []}]} | adriansanz/2504v2 | null | [
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| 2504v2
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6769
* Accuracy: 0.8655
* Precision: 0.8660
* Recall: 0.8655
* F1: 0.8655
* Ratio: 0.5168
Model description
-----------------
More... | [
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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": []} | piegarroni/Llama-2-7b-hf-csv-conversion-cense-v6 | null | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | udmurtNLP/zerpal-original-mbert-pos-tagger | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | ripaaiii/fine-tune-C1-stage1_16epoch_besar | null | [
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text-generation | transformers | Quantizations of https://huggingface.co/jeiku/Rosa_Writing_3B
# From original readme
... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "jeiku", "Rosa_Writing_3B"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/Rosa_Writing_3B-imatrix-GGUF | null | [
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# From original readme
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eunyounglee/EEVE-LLM2Vec-MNTP-1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jeiku/Average_Normie_v2_l3_8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "jeiku/Average_Normie_v2_l3_8B", "quantized_by": "mradermacher"} | mradermacher/Average_Normie_v2_l3_8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-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": []} | deepnet/SN6-71S6 | null | [
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"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | mlx |
# Wordpress-Mistral-7B-Fine-Tune
This model was converted to MLX format from [`mistralai/Mistral-7B-Instruct-v0.2`]().
Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) for more details on the model.
## Use with mlx
```bash
pip install mlx
git clone https://github.com/ml-exp... | {"license": "apache-2.0", "tags": ["finetuned", "mlx"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | cemt/Wordpress-Mistral-7B-Fine-Tune | null | [
"mlx",
"safetensors",
"mistral",
"finetuned",
"text-generation",
"conversational",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T08:38:45+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #finetuned #text-generation #conversational #license-apache-2.0 #region-us
|
# Wordpress-Mistral-7B-Fine-Tune
This model was converted to MLX format from ['mistralai/Mistral-7B-Instruct-v0.2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw5.5 | null | [
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"dataset:fac... | null | 2024-04-25T08:44:07+00:00 | [] | [] | TAGS
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
"### Data sources\n\n\nThere are many data sources used in the bagel models. See URL for more information.\n\n\n***Only train splits are used, and a decontamination by cosine similarity is performed at the end as a sanity check against common benchmarks. If you don't know the difference between train and test, plea... | [
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text2text-generation | transformers | The given model is a version of Ilya Gusev's rut5_base_sum_gazeta model that has been trained to summarize WhatsApp chats in Russian using a custom dataset collected and annotated for this task specifically
The model can be tested with the following code:
from transformers import pipeline
model = 'marlechka/rut5_chat... | {} | marlechka/rut5_chats | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| The given model is a version of Ilya Gusev's rut5_base_sum_gazeta model that has been trained to summarize WhatsApp chats in Russian using a custom dataset collected and annotated for this task specifically
The model can be tested with the following code:
from transformers import pipeline
model = 'marlechka/rut5_chat... | [] | [
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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. -->
# Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold4
This model is a fine-tuned version of [microsoft/swin-tiny-patch4... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold4", "results": [{"task": {"type": "image-classification", "na... | onizukal/Boya1_RMSProp_1-e5_10Epoch_Swin-tiny-patch4-window16-256_fold4 | null | [
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"license:apache-2.0",
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| Boya1\_RMSProp\_1-e5\_10Epoch\_Swin-tiny-patch4-window16-256\_fold4
===================================================================
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: 1.1045
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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text-generation | null |
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
<!-- Provide a quick summary of what the model is/does. -->
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct pr... | {"language": ["hu", "en"], "license": "llama2", "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "HuggingFaceH4/cai-conversation-harmless"], "pipeline_tag": "text-generation"} | ariel-ml/SambaLingo-Hungarian-Chat-GGUF | null | [
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"text-generation",
"hu",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
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"dataset:HuggingFaceH4/cai-conversation-harmless",
"arxiv:2404.05829",
"license:llama2",
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|
# SambaLingo-Hungarian-Chat
<img src="SambaLingo_Logo.png" width="340" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
SambaLingo-Hungarian-Chat is a human aligned chat model trained in Hungarian and English. It is trained using direct preference optimization on top the base model SambaLingo-Hung... | [
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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. -->
# base-bert-fine-tuned-RTE
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "base-bert-fine-tuned-RTE", "results": []}]} | rycecorn/base-bert-fine-tuned-RTE | null | [
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"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T08:46:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| base-bert-fine-tuned-RTE
========================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2681
* Accuracy: 0.7004
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
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text-to-image | null |
LoRA
Base model: stabilityai/stable-diffusion-xl-base-1.0
Token name: sks girl | {"language": ["en"], "datasets": ["TrgTuan10/dpt"], "pipeline_tag": "text-to-image"} | TrgTuan10/lora_dpt | null | [
"text-to-image",
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"dataset:TrgTuan10/dpt",
"region:us"
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"en"
] | TAGS
#text-to-image #en #dataset-TrgTuan10/dpt #region-us
|
LoRA
Base model: stabilityai/stable-diffusion-xl-base-1.0
Token name: sks girl | [] | [
"TAGS\n#text-to-image #en #dataset-TrgTuan10/dpt #region-us \n"
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24
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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": "westlake-repl/SaProt_35M_AF2"} | CluelessNovice/demo | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:westlake-repl/SaProt_35M_AF2",
"region:us"
] | null | 2024-04-25T08:48:35+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-westlake-repl/SaProt_35M_AF2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-custom300-1e-5-va2000
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-custom300-1e-5-va2000", "results": []}]} | racheltong/whisper-small-custom300-1e-5-va2000 | null | [
"transformers",
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"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T08:49:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| whisper-small-custom300-1e-5-va2000
===================================
This model is a fine-tuned version of openai/whisper-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0795
* Wer: 1.1530
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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audio-to-audio | transformers |
# LeroyDyer/Mixtral_AI_CyberVoice-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberVoice`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberVoice) 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 mode... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_4.0", "pipeline_tag": "audio-to-audio"} | LeroyDyer/Mixtral_AI_CyberVoice-Q4_K_S-GGUF | null | [
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"en",
"base_model:LeroyDyer/Mixtral_AI_Cyber_4.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T08:49:41+00:00 | [] | [
"en"
] | TAGS
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|
# LeroyDyer/Mixtral_AI_CyberVoice-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberVoice' 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:
... | [
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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": []} | krishnakekan01/combined_finetuned_phi2 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-50-0.008 | null | [
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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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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3_8b_odia_v2", "results": []}]} | sam2ai/llama3_8b_odia_v2 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
llama3\_8b\_odia\_v2
====================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
... | [
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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. -->
# results
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twit... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-roberta-base-sentiment", "model-index": [{"name": "results", "results": []}]} | AndreiUrsu/results | null | [
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| results
=======
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2693
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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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. -->
# V0424MADP2
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": "V0424MADP2", "results": []}]} | Litzy619/V0424MADP2 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424MADP2
==========
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: 0.1460
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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. -->
# V0424MADP3
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": "V0424MADP3", "results": []}]} | Litzy619/V0424MADP3 | null | [
"safetensors",
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424MADP3
==========
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: 0.1501
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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. -->
# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](h... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_useresponse_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_useresponse_iter_1 | null | [
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|
# 0.001_ablation_4iters_bs256_nodpo_useresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More info... | [
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text-generation | transformers |
# ugm-slerp
ugm-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | ugmdev/ugm-slerp | null | [
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"license:apache-2.0",
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"text-generation-inference",
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] | null | 2024-04-25T08:55:26+00:00 | [] | [] | TAGS
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|
# ugm-slerp
ugm-slerp is a merge of the following models using mergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
| [
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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": []} | Mithilss/whisper-large-v3-chinese-finetune-epoch-2-custom-dataset | null | [
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"whisper",
"automatic-speech-recognition",
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"endpoints_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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null | <div align="center">
# KobbleTinyV2-1.1B
</div>
This is the GGUF quantization of https://huggingface.co/concedo/KobbleTiny
You can use [KoboldCpp](https://github.com/LostRuins/koboldcpp/releases/latest) to run this model. With only 1B parameters, this model is ideal for running on mobile or low-end devices.
Update:... | {"language": ["en"], "license": "apache-2.0"} | concedo/KobbleTinyV2-1.1B-GGUF | null | [
"gguf",
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"en"
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| <div align="center">
# KobbleTinyV2-1.1B
</div>
This is the GGUF quantization of URL
You can use KoboldCpp to run this model. With only 1B parameters, this model is ideal for running on mobile or low-end devices.
Update: KobbleTiny has been upgraded to V2! The old V1 GGUF is still available at this link.
<video wi... | [
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"TAGS\n#gguf #en #license-apache-2.0 #region-us \n# KobbleTinyV2-1.1B\n</div>\n\nThis is the GGUF quantization of URL\n\nYou can use KoboldCpp to run this model. With only 1B parameters, this model is ideal for running on mobile or low-end devices.\n\nUpdate: KobbleTiny has been upgraded to V2! The old V1 GGUF is s... |
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. -->
# V0424MADP4
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": "V0424MADP4", "results": []}]} | Litzy619/V0424MADP4 | null | [
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"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-25T08:56:45+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424MADP4
==========
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: 0.1483
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enhi-tp-mde | null | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #deberta-v2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# V0424MADP5
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": "V0424MADP5", "results": []}]} | Litzy619/V0424MADP5 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424MADP5
==========
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: 0.1480
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | transformers | ## Project Description
This repository contains the trained model for our paper: **Fine-tuning a Sentence Transformer for DNA & Protein tasks** that is currently under review at BMC Bioinformatics. This model, called **simcse-dna**; is based on the original implementation of **SimCSE [1]**. The original model was adap... | {"license": "cc-by-sa-4.0"} | dsfsi/simcse-dna | null | [
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"pytorch",
"bert",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T08:57:57+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #license-cc-by-sa-4.0 #endpoints_compatible #region-us
| Project Description
-------------------
This repository contains the trained model for our paper: Fine-tuning a Sentence Transformer for DNA & Protein tasks that is currently under review at BMC Bioinformatics. This model, called simcse-dna; is based on the original implementation of SimCSE [1]. The original model wa... | [
"### Prerequisites\n\n\n\n\n---\n\n\nPlease see the original SimCSE for installation details. The model will als be hosted on Zenodo (DOI: 10.5281/zenodo.11046580).",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SAPOL_v2
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SAPOL_v2", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SAPOL_v2 | null | [
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"endpoints_compatible",
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|
# CS505_COQE_viT5_train_Instruction0_SAPOL_v2
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_SAPOL_v2\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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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. -->
# 2504v3
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2504v3", "results": []}]} | adriansanz/2504v3 | null | [
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| 2504v3
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6951
* Accuracy: 0.8487
* Precision: 0.8488
* Recall: 0.8487
* F1: 0.8487
* Ratio: 0.4916
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 20\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SAPOL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SAPOL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SAPOL_v1 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T08:58:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_SAPOL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_SAPOL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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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. -->
# codeparrot-ds
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
## M... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | wennnny/codeparrot-ds | null | [
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"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T08:59:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# codeparrot-ds
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The followin... | [
"# codeparrot-ds\n\nThis model is a fine-tuned version of distilgpt2 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",
"## Training procedure",
"### Training... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | blockblockblock/bagel-8b-v1.0-bpw6 | null | [
"transformers",
"safetensors",
"llama",
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"llama-3",
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"dataset:argilla/distilabel-intel-orca-dpo-pairs",
"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:fac... | null | 2024-04-25T08:59:50+00:00 | [] | [] | TAGS
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
"### Data sources\n\n\nThere are many data sources used in the bagel models. See URL for more information.\n\n\n***Only train splits are used, and a decontamination by cosine similarity is performed at the end as a sanity check against common benchmarks. If you don't know the difference between train and test, plea... | [
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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. -->
# wav2vec2-turkish-300m-5
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["fleurs"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-5", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"... | tgrhn/wav2vec2-turkish-300m-5 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:fleurs",
"base_model:facebook/wav2vec2-xls-r-300m",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T09:00:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-fleurs #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #model-index #endpoints_compatible #region-us
| wav2vec2-turkish-300m-5
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2648
* Wer: 0.2240
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-fleurs #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used ... | [
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"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-fleurs #base_model-facebook/wav2vec2-xls-r-300m #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [unsloth/gemma-1.1-2b-it](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["unsloth/gemma-1.1-2b-it", "beomi/gemma-ko-2b"]} | mergekit-community/mergekit-slerp-crxrtap | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:unsloth/gemma-1.1-2b-it",
"base_model:beomi/gemma-ko-2b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T09:03:33+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mergekit #merge #conversational #base_model-unsloth/gemma-1.1-2b-it #base_model-beomi/gemma-ko-2b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* unsloth/gemma-1.1-2b-it
* beomi/gemma-ko-2b
### Configuration
The following YAM... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* unsloth/gemma-1.1-2b-it\n* beomi/gemma-ko-2b",
"### Co... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #mergekit #merge #conversational #base_model-unsloth/gemma-1.1-2b-it #base_model-beomi/gemma-ko-2b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created usi... | [
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"TAGS\n#transformers #safetensors #gemma #text-generation #mergekit #merge #conversational #base_model-unsloth/gemma-1.1-2b-it #base_model-beomi/gemma-ko-2b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mer... |
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