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text-generation | transformers | # Aura Uncensored l3
AWQ here: https://huggingface.co/lucyknada/Aura_Uncensored_l3_8B-AWQ
GGUF here: https://huggingface.co/Lewdiculous/Aura_Uncensored_l3_8B-GGUF-IQ-Imatrix
This is the culmination... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["Undi95/Llama-3-Unholy-8B", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Luna_Llama3", "Undi95/L... | ResplendentAI/Aura_Uncensored_l3_8B | null | [
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| # Aura Uncensored l3
AWQ here: URL
GGUF here: URL
!image/png
This is the culmination of all my efforts for the Aura line. I have taken the original training data and applied it over Undi95's Unholy base model. This model can and will provide unsafe information and RP. I strongly recommend that you do not use this m... | [
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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": []} | mohamedhachemi/mohazz_arV2 | null | [
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/deepseek-ai/deepseek-llm-67b-base
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static quants are available at https://huggingface.co/mradermacher/deepsee... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "deepseek-ai/deepseek-llm-67b-base", "license_link": "LICENSE", "license_name": "deepseek", "quantized_by": "mradermacher"} | mradermacher/deepseek-llm-67b-base-i1-GGUF | null | [
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.9-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparame... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.9-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.9-DPO | null | [
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# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.9-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
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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. -->
# citation_intent_classification_roberta_dapt
This model is a fine-tuned version of [ltuzova/cs_domain_pretrained_model](https://h... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "citation_intent_classification_roberta_dapt", "results": []}]} | ltuzova/citation_intent_classification_roberta_dapt | null | [
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| citation\_intent\_classification\_roberta\_dapt
===============================================
This model is a fine-tuned version of ltuzova/cs\_domain\_pretrained\_model on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5175
* Accuracy: 0.5108
* F1 Macro: 0.1127
Model descr... | [
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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. -->
# falcon-7b-sharded-bf16-finetuned-mental-health-conversational
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "falcon-7b-sharded-bf16-finetuned-mental-health-conversational", "results": []}]} | cchoo1/falcon-7b-sharded-bf16-finetuned-mental-health-conversational | null | [
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|
# falcon-7b-sharded-bf16-finetuned-mental-health-conversational
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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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_h4
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_h4", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_h4 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_h4
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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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. -->
# AraBERT_token_classification__AraEval24_augmented_no_trun
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](h... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_augmented_no_trun", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_augmented_no_trun | null | [
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| AraBERT\_token\_classification\_\_AraEval24\_augmented\_no\_trun
================================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9821
* Precision: 0.0476
* Reca... | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
Korean instruction tunning of meta-llama/Meta-Llama-3-8B-Instruct
#### Chat template
**system:** system message...
**B:** user message...
**A:** assistant message...
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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": []} | d-manuardi/gemma-2b-finetune-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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- License... | [
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null | transformers | ## About
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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. -->
# lahacks
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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# lahacks
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## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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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_4
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# 0.001_ablation_declr_4iters_iter_4
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More information needed
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
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null | mlx |
# lucataco/Mixtral-8x22B-Instruct-v0.1-4bit
This model was converted to MLX format from [`mistralai/Mixtral-8x22B-Instruct-v0.1`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) for more details on the model.
## Use with mlx
```bash
p... | {"language": ["en", "es", "it", "de", "fr"], "license": "apache-2.0", "tags": ["mlx"]} | lucataco/Mixtral-8x22B-Instruct-v0.1-4bit | null | [
"mlx",
"safetensors",
"mixtral",
"en",
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"it",
"de",
"fr",
"license:apache-2.0",
"region:us"
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"en",
"es",
"it",
"de",
"fr"
] | TAGS
#mlx #safetensors #mixtral #en #es #it #de #fr #license-apache-2.0 #region-us
|
# lucataco/Mixtral-8x22B-Instruct-v0.1-4bit
This model was converted to MLX format from ['mistralai/Mixtral-8x22B-Instruct-v0.1']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# Model Card for Model ID
This model outputs first aid instructions based on your needs.
## Model Details
### Model Description
Our LA Hacks 2024 project is a first-aid handbook designed to provide immediate first aid guidance in emergency situations. Users can submit a text description or a photo of their health... | {"library_name": "transformers", "tags": []} | keerthi4/phi1_5-lahacks | null | [
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"endpoints_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
This model outputs first aid instructions based on your needs.
## Model Details
### Model Description
Our LA Hacks 2024 project is a first-aid handbook designed to provide immediate first aid guidance in emergency situations. Users can submit a text description or a photo of their health... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | abhayesian/4-18-sweep-pgd_layers_828_epsilon_0_5_pgd_iterations_per_step_16 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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### Model Sources [optional]
- Repository:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | abhayesian/4-18-sweep-pgd_layers_06121824_epsilon_0_5_pgd_iterations_per_step_16 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #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:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | abhayesian/4-18-sweep-pgd_layers_828_epsilon_10_0_pgd_iterations_per_step_16 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #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]:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | abhayesian/4-18-sweep-pgd_layers_828_epsilon_1_0_pgd_iterations_per_step_16 | null | [
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"region:us"
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] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #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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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | EdwinWiseOne/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-21T00:22:29+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
text-generation | transformers |
# llava-v1.5-llama-3-8b-pretrain Model Card
This is a pretrained checkpoint with the MLP connector after LLaVA stage 1, you can use it to instruct tune your multimodal models.
Please follow my reproduced implementation [LLaVA-Llama-3](https://github.com/Victorwz/LLaVA-Llama-3/) for more details on fine-tuning LLaVA m... | {"datasets": ["liuhaotian/LLaVA-CC3M-Pretrain-595K"], "inference": false} | weizhiwang/llava-v1.5-llama-3-8b-pretrain-clip-large | null | [
"transformers",
"llava",
"text-generation",
"dataset:liuhaotian/LLaVA-CC3M-Pretrain-595K",
"autotrain_compatible",
"region:us"
] | null | 2024-04-21T00:24:28+00:00 | [] | [] | TAGS
#transformers #llava #text-generation #dataset-liuhaotian/LLaVA-CC3M-Pretrain-595K #autotrain_compatible #region-us
|
# llava-v1.5-llama-3-8b-pretrain Model Card
This is a pretrained checkpoint with the MLP connector after LLaVA stage 1, you can use it to instruct tune your multimodal models.
Please follow my reproduced implementation LLaVA-Llama-3 for more details on fine-tuning LLaVA model with Llama-3 as the foundatiaon LLM.
##... | [
"# llava-v1.5-llama-3-8b-pretrain Model Card\n\nThis is a pretrained checkpoint with the MLP connector after LLaVA stage 1, you can use it to instruct tune your multimodal models.\nPlease follow my reproduced implementation LLaVA-Llama-3 for more details on fine-tuning LLaVA model with Llama-3 as the foundatiaon LL... | [
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_GrounTruth_tiny_Seed102 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-21T00:25:10+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_GrounTruth_tiny_Seed102 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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": []} | mohamedhachemi/mohazz_arV3 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-2b-it-laacks
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the genera... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-it-laacks", "results": []}]} | manan228/gemma-2b-it-laacks | null | [
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#peft #safetensors #gemma #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
| gemma-2b-it-laacks
==================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0521
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mo... | [
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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. -->
# anus-wanus-panus-ranus
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "anus-wanus-panus-ranus", "results": []}]} | namebobb/anus-wanus-panus-ranus | null | [
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| anus-wanus-panus-ranus
======================
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: 1.5332
* Accuracy: 0.5681
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
# flammen20-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [flammenai/Date-DPO-v1](https://huggingface.co/datasets/flammenai/Date-DPO-v1).
Flammen specializes in exceptional characte... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["flammenai/Date-DPO-v1"], "base_model": ["flammenai/flammen19X-mistral-7B"]} | flammenai/flammen20-mistral-7B | null | [
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|
!image/png
# flammen20-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on flammenai/Date-DPO-v1.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
### Method
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b model with ... | [
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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_ASPOL_h4
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_ASPOL_h4", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL_h4 | null | [
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"endpoints_compatible",
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] | null | 2024-04-21T00:38:13+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_ASPOL_h4
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 | 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": []} | ikimhope/whisper-small-num-test2 | null | [
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# Model Card for Model ID
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### 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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- License... | [
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null | null |
# trackgpt
An LLM designed to play TrackMania using WASD.
# Dataset: leafspark/tracktext
llama.cpp train command:
```
train-text-from-scratch --layer 8 --ctx 17000 --vocab-model ../models/ggml-vocab-llama.gguf --embd 64 --head 8 --checkpoint-in chk-fsd-384x36-LATEST.gguf --checkpoint-out chk-fsd-384x36-ITERATION.gg... | {"license": "apache-2.0"} | leafspark/trackgpt | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-21T00:45:18+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# trackgpt
An LLM designed to play TrackMania using WASD.
# Dataset: leafspark/tracktext
URL train command:
# Notes
Please make sure to remove "0." and " " from your input! This is so that it can fit in the model context window.
# Prompt Format
| [
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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": []} | mohamedhachemi/mohazz_arV4 | null | [
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"conversational",
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-21T00:48:36+00:00 | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | trl |
# Weni/WeniGPT-Agents-Llama3-1.0.8-SFT
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with SFT and Llama3 and updates in requirements
It achieves t... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["SFT", "WeniGPT"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "Weni/WeniGPT-Agents-Llama3-1.0.8-SFT", "results": []}]} | Weni/WeniGPT-Agents-Llama3-1.0.8-SFT | null | [
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"WeniGPT",
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|
# Weni/WeniGPT-Agents-Llama3-1.0.8-SFT
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for Weni.
Description: Experiment with SFT and Llama3 and updates in requirements
It achieves the following results... | [
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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. -->
# coding_llamaduo_result2
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the c... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["chansung/merged_ds_coding"], "base_model": "google/gemma-7b", "model-index": [{"name": "coding_llamaduo_result2", "results": []}]} | chansung/coding_llamaduo_result2 | null | [
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| coding\_llamaduo\_result2
=========================
This model is a fine-tuned version of google/gemma-7b on the chansung/merged\_ds\_coding dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2247
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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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_4
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_3", "model-index": [{"name": "0.0_ablation_declr_4iters_256batch... | ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_4 | null | [
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# 0.0_ablation_declr_4iters_256batch_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_3 on the ZhangShenao/0.0_ablation_declr_4iters_256batch_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More 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. -->
# distilbert-base-uncased-distilled-clinc
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-distilled-clinc", "results": []}]} | daSooo/distilbert-base-uncased-distilled-clinc | null | [
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| distilbert-base-uncased-distilled-clinc
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0997
* Accuracy: 0.9416
Model description
-----------------
More information nee... | [
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text-generation | transformers | 
# llama-3-bophades-v1-8B
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "license_name": "llama3", "base_model": ["Locutusque/llama-3-neural-chat-v1-8b", "Azure99/blossom-v5-llama3-8b", "Undi95/Llama-3-Unholy-8B", "PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct", "NousResearch/Meta-Llama-3-8B-Instruct", "vic... | nbeerbower/llama-3-bophades-v1-8B | null | [
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# llama-3-bophades-v1-8B
This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using vicgalle/Configur... | [
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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-large-coedit
This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gp... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "gpt2-large-coedit", "results": []}]} | iliazlobin/gpt2-large-coedit | null | [
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| gpt2-large-coedit
=================
This model is a fine-tuned version of openai-community/gpt2-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9215
* Rouge1: 0.4818
* Rouge2: 0.3649
* Rougel: 0.4555
* Rougelsum: 0.4643
* Sacreblue: 19.1714
* Memory Used: 68475.5
* Cu... | [
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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 | # Hebrew-Mixtral-8x22B
Hebrew-Mixtral-8x22B is an open-source Large Language Model (LLM) pretrained in hebrew and english pretrained with 141 billion parameters, based on Mixtral-8x22B from Mistral.
It is continuesly pretrained from Mixtral-8x22B on tokens in both English and Hebrew.
The resulting model is a powerfu... | {"language": ["en", "he"], "license": "apache-2.0", "library_name": "transformers"} | yam-peleg/Hebrew-Mixtral-8x22B | null | [
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"license:apache-2.0",
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| # Hebrew-Mixtral-8x22B
Hebrew-Mixtral-8x22B is an open-source Large Language Model (LLM) pretrained in hebrew and english pretrained with 141 billion parameters, based on Mixtral-8x22B from Mistral.
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null | null |
# Strangemerges_32Yamshadowexperiment28-7B
Strangemerges_32Yamshadowexperiment28-7B 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: Gille/StrangeMerges_32-7B-sler... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Strangemerges_32Yamshadowexperiment28-7B | null | [
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|
# Strangemerges_32Yamshadowexperiment28-7B
Strangemerges_32Yamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | peft |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.10-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "peft", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.10-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.10-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.10-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.10-DPO\n\nThis model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment on DPO with other hyperparameters and bes... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | leylaut/detr | null | [
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"object-detection",
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"base_model:facebook/detr-resnet-50",
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0419
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### 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: 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: 1\n* mixed\\_preci... | [
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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-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | YJL814/my_awesome_model | null | [
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"license:apache-2.0",
"autotrain_compatible",
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2323
* Accuracy: 0.9318
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-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.11-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.11-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.11-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.11-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.11-DPO\n\nThis model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment on DPO with other hyperparameters and bes... | [
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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. -->
# chess-410m
This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m-deduped", "model-index": [{"name": "chess-410m", "results": []}]} | AGundawar/chess-410m | null | [
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|
# chess-410m
This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8764
- eval_runtime: 45.8129
- eval_samples_per_second: 170.039
- eval_steps_per_second: 2.663
- epoch: 0.08
- step: 968
## Model descript... | [
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text-to-image | diffusers | # DeepCinema
<Gallery />
## Model description
Cinema-style DeepFloyd.
## Trigger words
You should use `cinema` to trigger the image generation.
You should use `scene` to trigger the image generation.
You should use `photograph` to trigger the image generation.
## Download model
Weights for this model are ava... | {"license": "deepfloyd-if-license", "tags": ["text-to-image", "deepfloyd-if", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "a happy family", "parameters": {"negative_prompt": "blurry, cropped, ugly"}, "output": {"url": "images/step_2000_val_img_78_642C2096.png"}}, {"text": "a cinematic scene from the f... | ptx0/deepcinema | null | [
"diffusers",
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"deepfloyd-if",
"lora",
"template:sd-lora",
"base_model:DeepFloyd/IF-I-M-v1.0",
"license:deepfloyd-if-license",
"region:us"
] | null | 2024-04-21T01:10:21+00:00 | [] | [] | TAGS
#diffusers #text-to-image #deepfloyd-if #lora #template-sd-lora #base_model-DeepFloyd/IF-I-M-v1.0 #license-deepfloyd-if-license #region-us
| # DeepCinema
<Gallery />
## Model description
Cinema-style DeepFloyd.
## Trigger words
You should use 'cinema' to trigger the image generation.
You should use 'scene' to trigger the image generation.
You should use 'photograph' to trigger the image generation.
## Download model
Weights for this model are ava... | [
"# DeepCinema\n\n<Gallery />",
"## Model description \n\nCinema-style DeepFloyd.",
"## Trigger words\n\nYou should use 'cinema' to trigger the image generation.\n\nYou should use 'scene' to trigger the image generation.\n\nYou should use 'photograph' to trigger the image generation.",
"## Download model\n\nWe... | [
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"## Model description \n\nCinema-style DeepFloyd.",
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text-generation | transformers |
# Uploaded model
- **Developed by:** kuotient
- **License:** apache-2.0
- **Finetuned from model :** kuotient/Meta-Llama-3-8B
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "other", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "license_name": "llama3", "base_model": "kuotient/Meta-Llama-3-8B"} | jsk0214/Seagull-llama-3-8B-orpo-v0.4 | null | [
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|
# Uploaded model
- Developed by: kuotient
- License: apache-2.0
- Finetuned from model : kuotient/Meta-Llama-3-8B
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | selimyagci/bert-misogyny-multi | 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-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. -->
# Analisis-sentimientos-xml-roberta-2
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https:... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-xlm-roberta-base-sentiment", "model-index": [{"name": "Analisis-sentimientos-xml-roberta-2", "results": []}]} | raulgdp/Analisis-sentimientos-xml-roberta-2 | null | [
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| Analisis-sentimientos-xml-roberta-2
===================================
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4219
* Rmse: 0.4262
Model description
-----------------
More infor... | [
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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": []} | mohamedhachemi/mohazz_arV5 | null | [
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# Model Card for Model ID
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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": []} | jettjaniak/bpe-1k | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5e7lr_4iters_256batch_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_dataset"], "base_model": "ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_3", "model-index": [{"name": "0.0_ablation_5e7lr_4iters_256batch... | ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_4 | null | [
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# 0.0_ablation_5e7lr_4iters_256batch_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_3 on the ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## T... | [
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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": []} | delphi-suite/stories-tokenizer | 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": []} | mohamedhachemi/mohazz_arV6 | null | [
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null | transformers | ## About
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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
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> [!CAUTION]
> **Outdated:** <br>
> Outdaded tokenizer configuration! <br>
> This is only kept for historical purposes, use the newer models instead of this one.
**This is a Llama-3 land now, cowboys!**
This is another *better* atempt at a less censored Llama-3 with hopefully more stable formatting.
GGUF-IQ-Imatrix... | {"language": ["en"], "license": "apache-2.0", "tags": ["roleplay", "llama3", "sillytavern"], "base_model": ["Undi95/Llama-3-Unholy-8B", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Luna_Lla... | Lewdiculous/Aura_Uncensored_l3_8B-GGUF-IQ-Imatrix | null | [
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> [!CAUTION]
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This is another *better* atempt at a less censored Llama-3 with hopefully more stable formatting.
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_GrounTruth_tiny_Seed103 | null | [
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### Model Description
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_GrounTruth_tiny_Seed103 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for class... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_0 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, in... | [
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null | null | ## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Warsaw Student Hacking Team
- **Model type:** Multi
- **Language(s) (NLP):** Pytorch
- **License:** agpl-3.0
<!--
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Provide the basic links for the model.
- **Repositor... | {"license": "agpl-3.0"} | svitek/PM10_estimator_Berlin_v1 | null | [
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#onnx #license-agpl-3.0 #region-us
| ## Model Details
### Model Description
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- Model type: Multi
- Language(s) (NLP): Pytorch
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Prediction of 10 PM10 emissions in Berlin based on traffic intensity measured by 80 stations across city (more about stations here -> URL
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text-generation | transformers |
## Exllama v2 Quantizations of Llama-3-Orca-1.0-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch con... | {"license": "other", "library_name": "transformers", "datasets": ["Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-Orca-1.0-8B-exl2 | null | [
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| Exllama v2 Quantizations of Llama-3-Orca-1.0-8B
-----------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with ... | [] | [
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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. -->
# deberta-v3-xsmall-finetuned-ner-1024
This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["recall", "precision"], "base_model": "microsoft/deberta-v3-xsmall", "model-index": [{"name": "deberta-v3-xsmall-finetuned-ner-1024", "results": []}]} | marksusol/deberta-v3-xsmall-finetuned-ner-1024 | null | [
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| deberta-v3-xsmall-finetuned-ner-1024
====================================
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1799
* Recall: 0.0
* Precision: 0.0
* Fbeta Score: nan
Model description
-------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | nuebaek/komt_mistral_insta_user_1_max_steps_80 | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers | <h1><b>JMLR-13B For MedQA</b></h1>
Large Language Models (LLMs) have demonstrated a remarkable potential in medical knowledge acquisition and question-answering. However, LLMs can potentially hallucinate and yield factually incorrect outcomes, even with domain-specific pretraining. Previously, retrieval augmented gen... | {} | akemiH/JMLR | null | [
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#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| **JMLR-13B For MedQA**
======================
Large Language Models (LLMs) have demonstrated a remarkable potential in medical knowledge acquisition and question-answering. However, LLMs can potentially hallucinate and yield factually incorrect outcomes, even with domain-specific pretraining. Previously, retrieval au... | [] | [
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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": []} | ikimhope/whisper-small-num-test3 | 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": []} | zzttbrdd/sn6_05l | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_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/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for class... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_1 | null | [
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"dataset:BigTMiami/imdb_sentiment_dataset",
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#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, in... | [
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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_narrativeqa_clm-model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unk... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "my_awesome_narrativeqa_clm-model", "results": []}]} | JasssZ/my_awesome_narrativeqa_clm-model | null | [
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| my\_awesome\_narrativeqa\_clm-model
===================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.7083
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-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_8.0 | 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. -->
# all_8657_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "all_8657_bart-base", "results": []}]} | baek26/all_8657_bart-base | null | [
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#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| all\_8657\_bart-base
====================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2356
* Rouge1: 0.2722
* Rouge2: 0.1239
* Rougel: 0.2315
* Rougelsum: 0.2424
* Gen Len: 19.9567
Model description
--------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- 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": []} | mohamedhachemi/mohazz_arV7 | 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 | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 04-21-01-51-38
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "04-21-01-51-38", "results": []}]} | reeddg/04-21-01-51-38 | null | [
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| 04-21-01-51-38
==============
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5981
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
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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. -->
# flan_sum_04-21-01-52-21
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan_sum_04-21-01-52-21", "results": []}]} | reeddg/flan_sum_04-21-01-52-21 | null | [
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# flan_sum_04-21-01-52-21
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
# Uploaded model
- **Developed by:** brohan2001
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | brohan2001/llama3-8b-paws-finetune | null | [
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# Uploaded model
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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. -->
# malaysia-news-classification-bert-english-skewness-fixed
This model is a fine-tuned version of [bert-base-uncased](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "malaysia-news-classification-bert-english-skewness-fixed", "results": []}]} | YagiASAFAS/malaysia-news-classification-bert-english-skewness-fixed | null | [
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| malaysia-news-classification-bert-english-skewness-fixed
========================================================
This model is a fine-tuned version of bert-base-uncased on tnwei/ms-newspapers dataset.
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text-generation | transformers | # "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preference... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Poppy_Porpoise-v0.3-L3-8B", "cognitivecomputations/dolphin-2.9-llama3-8b"]} | ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_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/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for class... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_2 | null | [
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# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
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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": []} | isemmanuelolowe/Jamba-2xMoE | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- 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_2k
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- ev... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "byt5_2k", "results": []}]} | AlexWang99/byt5_2k | null | [
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# byt5_2k
This model was trained from scratch on an unknown dataset.
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- eval_runtime: 10.717
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- eval_steps_per_second: 1.213
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- step: 24
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More information needed
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 04-21-02-06-50
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "04-21-02-06-50", "results": []}]} | reeddg/04-21-02-06-50 | null | [
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| 04-21-02-06-50
==============
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6318
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informa... | [
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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_sample1_4iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_iter_1](https:... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample1_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_iter_1", "model-index": [{"name": "0.0_ablation_sample1_4iters_iter_2", "results": ... | ZhangShenao/0.0_ablation_sample1_4iters_iter_2 | null | [
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"dataset:ZhangShenao/0.0_ablation_sample1_4iters_dataset",
"base_model:ZhangShenao/0.0_ablation_sample1_4iters_iter_1",
"license:mit",
"autotrain_compa... | null | 2024-04-21T02:07:45+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_ablation_sample1_4iters_dataset #base_model-ZhangShenao/0.0_ablation_sample1_4iters_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-in... |
# 0.0_ablation_sample1_4iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_iter_1 on the ZhangShenao/0.0_ablation_sample1_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
"# 0.0_ablation_sample1_4iters_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_iter_1 on the ZhangShenao/0.0_ablation_sample1_4iters_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Tr... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_ablation_sample1_4iters_dataset #base_model-ZhangShenao/0.0_ablation_sample1_4iters_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generat... | [
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text-generation | transformers | # Untitled Model (1)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* ../../Storage/NousResearc... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | imi2/Meta-Llama-3-120B-Instruct-merged | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T02:08:01+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* ../../Storage/NousResearch_Meta-Llama-3-70B-Instruct
### Conf... | [
"# Untitled Model (1)\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the passthrough merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* ../../Storage/NousResearch_Meta-Llama... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Untitled Model (1)\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
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null | null | An RVC model of ENA's masculine voice from Power of Potluck. | {"license": "openrail"} | xunnylee/ENA-RVC-v3 | null | [
"license:openrail",
"region:us"
] | null | 2024-04-21T02:09:23+00:00 | [] | [] | TAGS
#license-openrail #region-us
| An RVC model of ENA's masculine voice from Power of Potluck. | [] | [
"TAGS\n#license-openrail #region-us \n"
] | [
10
] | [
"TAGS\n#license-openrail #region-us \n"
] |
text-to-speech | voicecraft |
This model has been pushed to the Hub using **voicecraft**:
- Repo: https://github.com/jasonppy/VoiceCraft
- Docs: [More Information Needed] | {"library_name": "voicecraft", "tags": ["text-to-speech", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/jasonppy/VoiceCraft"} | pyp1/VoiceCraft_830M_TTSEnhanced | null | [
"voicecraft",
"safetensors",
"text-to-speech",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"region:us"
] | null | 2024-04-21T02:11:59+00:00 | [] | [] | TAGS
#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using voicecraft:
- Repo: URL
- Docs: | [] | [
"TAGS\n#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us \n"
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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. -->
# Analisis-sentimientos-XLM-Roberta-TASS
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](htt... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-xlm-roberta-base-sentiment", "model-index": [{"name": "Analisis-sentimientos-XLM-Roberta-TASS", "results": []}]} | raulgdp/Analisis-sentimientos-XLM-Roberta-TASS | null | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:cardiffnlp/twitter-xlm-roberta-base-sentiment",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T02:13:27+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #xlm-roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-xlm-roberta-base-sentiment #autotrain_compatible #endpoints_compatible #region-us
| Analisis-sentimientos-XLM-Roberta-TASS
======================================
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9837
* Rmse: 0.7071
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
"TAGS\n#transformers #pytorch #tensorboard #xlm-roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-xlm-roberta-base-sentiment #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... | [
59,
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"TAGS\n#transformers #pytorch #tensorboard #xlm-roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-xlm-roberta-base-sentiment #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* le... |
text-to-image | diffusers | # Cartoon_Logo_SDXL
<Gallery />
## Model description
Introducing Lora, a versatile AI model designed to craft personalized cartoon logos for small businesses. Whether you're a quaint coffee shop or a buzzing tattoo studio, Lora can bring your brand to life with a touch of whimsy and a dash of character. With a ... | {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/myFile_20_5.0_016.jpeg"}}, {"text": "-", "output": {"url": "images/myFile_20_5.0_012.jpeg"}}], "base_model": "stabilityai/sdxl-turbo"} | realpsninja/Cartoon_Logo_for_SDXL | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/sdxl-turbo",
"license:mit",
"region:us"
] | null | 2024-04-21T02:19:03+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/sdxl-turbo #license-mit #region-us
| # Cartoon_Logo_SDXL
<Gallery />
## Model description
Introducing Lora, a versatile AI model designed to craft personalized cartoon logos for small businesses. Whether you're a quaint coffee shop or a buzzing tattoo studio, Lora can bring your brand to life with a touch of whimsy and a dash of character. With a ... | [
"# Cartoon_Logo_SDXL\n\n<Gallery />",
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"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/sdxl-turbo #license-mit #region-us \n",
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"## Model description \n\nIntroducing Lora, a versatile AI model designed to craft personalized cartoon logos for small businesses. Whe... | [
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