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text-generation | transformers |
# Uploaded model
- **Developed by:** ppopiolek
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | ppopiolek/tinyllama_merged_s_500 | null | [
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|
# Uploaded model
- Developed by: ppopiolek
- License: apache-2.0
- Finetuned from model : TinyLlama/TinyLlama-1.1B-Chat-v1.0
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 |
<!-- 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. -->
# 0.0_ablation_5e7lr_4iters_256batch_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_5e7lr_4iters_256batch_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_1 | null | [
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|
# 0.0_ablation_5e7lr_4iters_256batch_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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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": []} | overeducated/test | 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 | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_1 | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-ar
This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "tner/xlm-roberta-base-panx-dataset-ar", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-ar", "results": []}]} | SanadGhassan/xlm-roberta-base-finetuned-panx-ar | null | [
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| xlm-roberta-base-finetuned-panx-ar
==================================
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1977
* F1: 0.8803
* Accuracy: 0.9515
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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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. -->
# finetune_starcoder2
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) ... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["wraps/flutter-codegen"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "finetune_starcoder2", "results": []}]} | wraps/finetune_starcoder2 | null | [
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|
# finetune_starcoder2
This model is a fine-tuned version of bigcode/starcoder2-3b on wrapss/flutter-codegen.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** kevin009
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | kevin009/llama3math-s60 | null | [
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|
# Uploaded model
- Developed by: kevin009
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | weathermanj/Llama-3-8B-orpo | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Llama-3-LimaRP-8B](https://huggingface.co/mpasila/Llama-3-LimaRP-8B) using the default calibration dataset.
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This is a merge of [mpasila/Llama-3-LimaRP-LoRA-8B](https://huggingface.co/mpasila/Llama-3-LimaRP-LoRA-8B).
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null | null |
# NeuralsynthesisNeuralsynthesis-7B
NeuralsynthesisNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Kukedlc/NeuralSynthesis-7b-v0.4-slerp
- mo... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/NeuralsynthesisNeuralsynthesis-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# NeuralsynthesisNeuralsynthesis-7B
NeuralsynthesisNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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. -->
# tiny-llama-lora-new
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tiny-llama-lora-new", "results": []}]} | xshubhamx/tiny-llama-lora-new | null | [
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#tensorboard #safetensors #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
| tiny-llama-lora-new
===================
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2252
* Accuracy: 0.8203
* Precision: 0.8184
* Recall: 0.8203
* Precision Macro: 0.7732
* Recall Macro: 0.7380
* M... | [
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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": []} | KaggleMasterX/llama3_8b_testflight | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_1 | null | [
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|
# Adapter 'BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
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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": []} | OwOOwO/dumbo-stable8 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ResNet_AI_image_detector
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "ResNet_AI_image_detector", "results": []}]} | mmanikanta/ResNet_AI_image_detector | null | [
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| ResNet\_AI\_image\_detector
===========================
This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1330
* Accuracy: 0.9507
Model description
-----------------
More information needed
Intended uses & limita... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-2 | null | [
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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. -->
# byt5_3k
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Lo... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "byt5_3k", "results": []}]} | AlexWang99/byt5_3k | null | [
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| byt5\_3k
========
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0786
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and eval... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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- **Shared by [optional]:** ... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["subjectivity detection"], "datasets": ["j03x/CheckThat2023", "j03x/CheckThat2023_Test", "j03x/CheckThat2023_Test_gold_en"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1"} | j03x/Mistral7B_finetune1_checkThat | null | [
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text-generation | transformers |
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## Model Details
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# 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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# Uploaded model
- **Developed by:** razhan
- **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/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | razhan/llama-3-8b-lora-ckb | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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mistral-7b-sft-lora-tom-final
=============================
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_2 | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** FabioSantos
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- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FabioSantos/llama3-8b-oig-unsloth-merged | null | [
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text-generation | transformers | # NEBULA-23.8B-v1.0
## Technical notes
- 108 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)->NEBULA(108)
- 23.8B parameters
- model created as an extension of depth upscaling procedure used for SOLAR by upstage
## ... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "NEBULA-23B-v1.0", "results": [{"task":... | TeeZee/NEBULA-23.8B-v1.0 | null | [
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=================
!image/png
Technical notes
---------------
* 108 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)->NEBULA(108)
* 23.8B parameters
* model created as an extension of depth upscaling procedure used for SOLAR by upstage
Results
-------
* model can and will produce NSFW... | [] | [
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text-generation | transformers | # mlabonne/Chimera-8B AWQ
- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [Chimera-8B](https://huggingface.co/mlabonne/Chimera-8B)
## Model Summary
Dare-ties merge method.
List of all models and merging path is coming soon.
Merging the "thick"est model weights from mistral models usi... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Chimera-8B-AWQ | null | [
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| # mlabonne/Chimera-8B AWQ
- Model creator: mlabonne
- Original model: Chimera-8B
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Dare-ties merge method.
List of all models and merging path is coming soon.
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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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### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | macadeliccc/Orpo-GutenLlama-3-8B | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-ar
This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "tner/xlm-roberta-base-panx-dataset-ar", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-ar", "results": []}]} | AbdelrahmanSR/xlm-roberta-base-finetuned-panx-ar | null | [
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"autotrain_compatible",
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| xlm-roberta-base-finetuned-panx-ar
==================================
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1977
* F1: 0.8803
Model description
-----------------
More information neede... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Cem13/mixtral_generation_0 | null | [
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"license:apache-2.0",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #region-us
| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7326
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | Hitomiblood/blindness_modelKerasGPU | null | [
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] | null | 2024-04-20T19:18:01+00:00 | [] | [] | TAGS
#keras #region-us
| 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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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_2 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | msmart/llama-3-testing | null | [
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#transformers #safetensors #unsloth #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 | transformers |
# Uploaded model
- **Developed by:** FabioSantos
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FabioSantos/llama3-8b-oig-unsloth | null | [
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# Uploaded model
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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_declr_4iters_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_declr_4iters_iter_1](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_declr_4iters_iter_1", "model-index": [{"name": "0.001_ablation_declr_4iters_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_declr_4iters_iter_2 | null | [
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"endpoints_c... | null | 2024-04-20T19:22:00+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_declr_4iters_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_declr_4iters_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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null | transformers |
# Uploaded model
- **Developed by:** prtm
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | prtm/ConstructionAdviserModelDraft1 | null | [
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|
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null | null |
GGUF Quantum model to be used in llama.cpp after:
https://github.com/ggerganov/llama.cpp/issues/6747 | {"license": "llama2"} | phymbert/llama3-8b-instruct-q4_k_m-gguf | null | [
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"region:us"
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#gguf #license-llama2 #region-us
|
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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. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | ivanma1/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5328
* Accuracy: 0.1944
Model description
-----------------
More information needed
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Sanyam0605/sd-class-butterf... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Sanyam0605/sd-class-butterflies-32 | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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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": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-6000 | null | [
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|
# Model Card for Model ID
## Model Details
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_3 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vsft-llava_builder_Meta-Llama-3-8B
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## ... | {"tags": ["trl", "sft", "generated_from_trainer"], "model-index": [{"name": "vsft-llava_builder_Meta-Llama-3-8B", "results": []}]} | edbeeching/vsft-llava_builder_Meta-Llama-3-8B | null | [
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|
# vsft-llava_builder_Meta-Llama-3-8B
This model is a fine-tuned version of [](URL 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 hyperparamet... | [
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null | null | ["0102", "0295", "0071", "0174", "0106", "0116", "0065"]
num_epochs = 10000
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transforms.Resize((config.image_size, config.image_size)),
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transforms.ToTensor(),
transforms.Normalize([0.5], ... | {} | Giux22/semana7-figuras_naturales | null | [
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] |
text-generation | transformers |
<!-- original-model-card start -->
# Original model card: WizardLM's WizardLM 70B V1.0
## WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
<p align="center">
🤗 <a href="https://huggingface.co/WizardLM" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/nlpxucan/Wi... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["wizardlm", "llama", "finetuned"], "pipeline_tag": "text-generation"} | MaziyarPanahi/WizardLM-70B-V1.0 | null | [
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| Original model card: WizardLM's WizardLM 70B V1.0
=================================================
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
-------------------------------------------------------------------------------------
[HF Repo](URL target=) • [Github Repo](URL ... | [] | [
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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-large-xls-r-300m-upper-sorbian-pl-frozen-2-colab
This model is a fine-tuned version of [](https://huggingface.co/) on t... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-2-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_16_1"... | badrabdullah/wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-2-colab | null | [
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #model-index #endpoints_compatible #region-us
| wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-2-colab
=========================================================
This model is a fine-tuned version of [](URL on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6971
* Wer: 0.3974
* Cer: 0.0976
Model descriptio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\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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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. -->
# pegasus-xsum-finetuned-keyfindings
This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/peg... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-xsum", "model-index": [{"name": "pegasus-xsum-finetuned-keyfindings", "results": []}]} | basvreeman/pegasus-xsum-finetuned-keyfindings | null | [
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| pegasus-xsum-finetuned-keyfindings
==================================
This model is a fine-tuned version of google/pegasus-xsum on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5754
* Rouge1: 49.1483
* Rouge2: 26.7485
* Rougel: 40.7712
* Rougelsum: 40.7847
* Gen Len: 31.5733
... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
SMM4H Task 6 : Model for twitter texts
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Informatio... | {} | 1024m/SMM4H-Task6-BartL-B20 | null | [
"transformers",
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# Model Card for Model ID
SMM4H Task 6 : Model for twitter texts
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text-to-image | diffusers | ### web_icons_v1 on Stable Diffusion
This is the `<outline-icon>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You c... | {"language": ["en"], "license": "mit", "library_name": "diffusers", "tags": ["code"], "base_model": "proximasanfinetuning/fantassified_icons_v2", "pipeline_tag": "text-to-image"} | sd-concepts-library/web-icons-v1 | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_4 | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_3_help_class_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### 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": []} | domenicrosati/lens-loss-minimality_lr_2e-5_attack_meta-llama_Llama-2-7b-chat-hf_1_num_layers_32_8e-5_10k | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-... | {} | RichardErkhov/meta-llama_-_Llama-2-7b-hf-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-7b-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_pro... | [
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null | transformers | ## About
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static quants of https://huggingface.co/mlabonne/Chimera-8B
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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- **Funded by [optional]:** [More Information Needed]
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text-generation | transformers |
A fishy model
Trained with the ChatML format with a max context length of 32k.
Average length in datasets is around 4-8k tokens.
# Uploaded model
- **Developed by:** TheTsar1209
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
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A fishy model
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_4 | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_4_help_class_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
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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. -->
# canine_100_chars
This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on an unknown d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/canine-c", "model-index": [{"name": "canine_100_chars", "results": []}]} | addykan/canine_100_chars | null | [
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| canine\_100\_chars
==================
This model is a fine-tuned version of google/canine-c on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0507
* Accuracy: 0.9905
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
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#transformers #safetensors #llama #text-generation #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
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Llama-2-7b-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_pro... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-chat-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/... | {} | RichardErkhov/meta-llama_-_Llama-2-7b-chat-hf-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-7b-chat-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | realtreetune/HHF_tldr_sft | null | [
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# Omega-LLama3-MWP
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/M... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Omega-LLama3-MWP", "results": []}]} | OmegaGamage/Omega-LLama3-MWP | null | [
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-20T20:05:28+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# Omega-LLama3-MWP
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral-7b-sft-lora-tom-logical", "results": []}]} | soareslance/mistral-7b-sft-lora-tom-logical | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
mistral-7b-sft-lora-tom-logical
===============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0511
Model ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tinyllama-1.1b-chat-sft-qlora
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https:... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T", "model-index": [{"name": "tinyllama-1.1b-sft-qlora", "results": []}]} | martimfasantos/tinyllama-1.1b-chat-sft-qlora | null | [
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| tinyllama-1.1b-chat-sft-qlora
=============================
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1695
Model description
-----------------
More inf... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-llama... | {} | RichardErkhov/meta-llama_-_Llama-2-7b-hf-gguf | null | [
"gguf",
"arxiv:2307.09288",
"region:us"
] | null | 2024-04-20T20:08:10+00:00 | [
"2307.09288"
] | [] | TAGS
#gguf #arxiv-2307.09288 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-7b-hf - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-2-7b-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: Llama-2-7b-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.6GB
Name: Llama-2-7b-hf.IQ3\_S.gguf, Quan... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-chat-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/... | {} | RichardErkhov/meta-llama_-_Llama-2-7b-chat-hf-8bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-7b-chat-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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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": ["generated_from_trainer"], "base_model": "NousResearch/Meta-Llama-3-70B", "model-index": [{"name": "out/qlora-llama3-70b", "results": []}]} | wave-on-discord/llama-3-70b-no-robots-adapter | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out/qlora-llama3-70b
====================
This model is a fine-tuned version of NousResearch/Meta-Llama-3-70B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5... | [
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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": []} | Aspik101/llamaft3v2 | 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 |
# 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": []} | olonok/Llama3_8B_qlora_CoT_FineTuned | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-1k
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-1k", "results": []}]} | addykan/distilbert-1k | null | [
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| distilbert-1k
=============
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0986
* Accuracy: 0.3333
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 25",
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text-generation | transformers | # 4-bit Quantized Llama 3 Model
## Description
This repository hosts the 4-bit quantized version of the Llama 3 model. Optimized for reduced memory usage and faster inference, this model is suitable for deployment in environments where computational resources are limited.
## Model Details
- **Model Type**: Transforme... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "qlora", "quantization", "4-bit", "lora"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Versio... | SweatyCrayfish/llama-3-8b-quantized | null | [
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| # 4-bit Quantized Llama 3 Model
## Description
This repository hosts the 4-bit quantized version of the Llama 3 model. Optimized for reduced memory usage and faster inference, this model is suitable for deployment in environments where computational resources are limited.
## Model Details
- Model Type: Transformer-ba... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | vicha-w/dqn-SpaceInvadersNoFrameSkip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Dogge/Tia-70B-RP
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tia-70B-RP-i1-GGUF
## Us... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "Dogge/Tia-70B-RP", "quantized_by": "mradermacher"} | mradermacher/Tia-70B-RP-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
<!-- 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. -->
# gpt2_ingredient
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2_ingredient", "results": []}]} | AkshayPM/gpt2_ingredient | null | [
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"text-generation",
"generated_from_trainer",
"license:mit",
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"region:us"
] | null | 2024-04-20T20:18:26+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| gpt2\_ingredient
================
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8805
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-7b-chat-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-... | {} | RichardErkhov/meta-llama_-_Llama-2-7b-chat-hf-gguf | null | [
"gguf",
"arxiv:2307.09288",
"region:us"
] | null | 2024-04-20T20:20:47+00:00 | [
"2307.09288"
] | [] | TAGS
#gguf #arxiv-2307.09288 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-7b-chat-hf - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-2-7b-chat-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: Llama-2-7b-chat-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.6GB
Name: Llama-2-7b-chat-... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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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_Instruction1_SOAPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction1_SOAPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction1_SOAPL | null | [
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"t5",
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T20:24:18+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_Instruction1_SOAPL
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
### Traini... | [
"# CS505_COQE_viT5_train_Instruction1_SOAPL\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",
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text-generation | transformers |
# yujiepan/Meta-Llama-3-8B-awq-w4g64
This model applies AutoAWQ on [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
- 4-bit asymmetric weight only quantization
- group_size=64
- calibration set: pileval
## Accuracy
| model | precision | wikitext ppl (↓) |
|-|-|-|
| meta-llama/Meta-L... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-awq-w4g64 | null | [
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#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| yujiepan/Meta-Llama-3-8B-awq-w4g64
==================================
This model applies AutoAWQ on meta-llama/Meta-Llama-3-8B.
* 4-bit asymmetric weight only quantization
* group\_size=64
* calibration set: pileval
Accuracy
--------
model: meta-llama/Meta-Llama-3-8B, precision: FP16, wikitext ppl (↓): 9.179
mo... | [] | [
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text-generation | transformers | # ResplendentAI/Aura_L3_8B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Aura_L3_8B](https://huggingface.co/ResplendentAI/Aura_L3_8B)
## Model Summary... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Aura_L3_8B-AWQ | null | [
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"text-generation",
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"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"conversational",
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"region:us"
] | null | 2024-04-20T20:30:18+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # ResplendentAI/Aura_L3_8B AWQ
- Model creator: ResplendentAI
- Original model: Aura_L3_8B
!image/png
## Model Summary
The next evolution in Aura models, trained on 6 separate datasets and ready to bring you to your knees.
I am so happy to be one of the first with a finetune of this amazing model. I hope that you ... | [
"# ResplendentAI/Aura_L3_8B AWQ\n\n- Model creator: ResplendentAI\n- Original model: Aura_L3_8B\n\n!image/png",
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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_Instruction2_SOAPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction2_SOAPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction2_SOAPL | null | [
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|
# CS505_COQE_viT5_train_Instruction2_SOAPL
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
### Traini... | [
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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_Instruction3_SOAPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction3_SOAPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction3_SOAPL | null | [
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|
# CS505_COQE_viT5_train_Instruction3_SOAPL
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
### Traini... | [
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null | transformers |
# Model Card for Model ID
Just only a text gen model type, I'm just test train my dataset and...it's work, very nice, try it.
## Model Details
- [](https://colab.research.google.com/drive/1fhVByew053W8SdbacFryIx3luhFkEa1M?usp=sharing)
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# Model Card for Model ID
Just only a text gen model type, I'm just test train my dataset and...it's work, very nice, try it.
## Model Details
- ![Open In Colab](URL
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | Fredithefish/Llama3RPInstruct-chkpt-250 | null | [
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### Model Description
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('yaochx/sd-class-butterflies... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | yaochx/sd-class-butterflies-32 | null | [
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# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
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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_Instruction4_SOAPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction4_SOAPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction4_SOAPL | null | [
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"region:us"
] | null | 2024-04-20T20:39:47+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction4_SOAPL
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
### Traini... | [
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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-revised | 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 | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset_condensed](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset_condensed/) dataset and includes a predicti... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/citation_intent_dataset_condensed"]} | BigTMiami/m_cite_par_bn_v_4_pretrain_adapter | null | [
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An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset_condensed dataset and includes a prediction head for masked lm.
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text-generation | mlx |
# voxmenthe/Meta-Llama-3-8B-Instruct-mlx-unquantized
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx
```b... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "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\"A... | voxmenthe/Meta-Llama-3-8B-Instruct-mlx-unquantized | null | [
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# voxmenthe/Meta-Llama-3-8B-Instruct-mlx-unquantized
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/Kquant03/Prokaryote-8x7B-bf16
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weighted/imatrix quants of URL
static quants are available at URL
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
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-----------------
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---------------------------
More information needed
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ittailup/parler-bayly | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
> Note: this repo has low accuracy and is under investigation.
# yujiepan/Meta-Llama-3-8B-gptq-w4g64
This model applies AutoGPTQ on [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
- 4-bit symmetric weight only quantization
- group_size=64
- calibration set: c4-new
## Accuracy
| ... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-gptq-w4g64 | null | [
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|
>
> Note: this repo has low accuracy and is under investigation.
>
>
>
yujiepan/Meta-Llama-3-8B-gptq-w4g64
===================================
This model applies AutoGPTQ on meta-llama/Meta-Llama-3-8B.
* 4-bit symmetric weight only quantization
* group\_size=64
* calibration set: c4-new
Accuracy
--------
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null | transformers |
# Uploaded model
- **Developed by:** martyyz
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | martyyz/llama3_lora | null | [
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|
# Uploaded model
- Developed by: martyyz
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Omega-LLama3-MWP2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Omega-LLama3-MWP2", "results": []}]} | OmegaGamage/Omega-LLama3-MWP2 | null | [
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|
# Omega-LLama3-MWP2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** martyyz
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | martyyz/Llama_3_8b_16bit | null | [
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|
# Uploaded model
- Developed by: martyyz
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | domenicrosati/lens-loss-minimality_lr_2e-5_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_1_num_layers_24 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers | To use with [LocalAI](https://localai.io) this is an example model definition:
```
name: WizardLM2
backend: transformers
parameters:
model: fakezeta/Not-WizardLM-2-7B-ov-int8
context_size: 8192
threads: 6
f16: true
type: OVModelForCausalLM
prompt_cache_path: "cache"
prompt_cache_all: true
template:
use_tokenizer_t... | {"license": "apache-2.0"} | fakezeta/Not-WizardLM-2-7B-ov-int8 | null | [
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"mistral",
"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-20T20:52:59+00:00 | [] | [] | TAGS
#transformers #openvino #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| To use with LocalAI this is an example model definition:
| [] | [
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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": []} | mryannugent/cot-finetune-miscondetect-bloomz-3b | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T20:53:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_declr_4iters_256batch_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_4iters_256batch_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_4iters_256batch_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_1", "model-index": [{"name": "0.0_ablation_declr_4iters_256batch... | ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_2 | null | [
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# 0.0_ablation_declr_4iters_256batch_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_1 on the ZhangShenao/0.0_ablation_declr_4iters_256batch_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## T... | [
"# 0.0_ablation_declr_4iters_256batch_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_1 on the ZhangShenao/0.0_ablation_declr_4iters_256batch_dataset dataset.",
"## Model description\n\nMore information needed",
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