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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - naripok/books_LoRA
<Gallery />
## Model description
These are naripok/books_LoRA LoRA adaption... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", ... | naripok/books_LoRA | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - naripok/books_LoRA
<Gallery />
## Model description
These are naripok/books_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bumblebee-testing/tiny-random-Phi3Model | null | [
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# Model Card for Model ID
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token-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": []} | bumblebee-testing/tiny-random-Phi3ForTokenClassification | null | [
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#transformers #safetensors #phi3 #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
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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": []} | bumblebee-testing/tiny-random-Phi3ForSequenceClassification | 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": []} | bumblebee-testing/tiny-random-Phi3ForCausalLM | null | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-PixelCopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | urkidi/Reinforce-PixelCopter | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | null | Using the WholeClear PST to MSG Converter Tool, the user can efficiently convert the data in their Outlook PST file into an MSG data file. The tool, PST to MSG Converter, makes it simple to convert Outlook PST files to MSG files. Additionally, files are retained exactly as they are throughout the conversion process. Us... | {} | wholeclearsoftware/pst-to-msg-converter | null | [
"region:us"
] | null | 2024-05-01T12:32:29+00:00 | [] | [] | TAGS
#region-us
| Using the WholeClear PST to MSG Converter Tool, the user can efficiently convert the data in their Outlook PST file into an MSG data file. The tool, PST to MSG Converter, makes it simple to convert Outlook PST files to MSG files. Additionally, files are retained exactly as they are throughout the conversion process. Us... | [] | [
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text-to-image | diffusers |
# controlnet-YuhoLiang/model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: High-quality close-up dslr photo of man wearing a hat with trees in the background
prompt: Girl... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | YuhoLiang/model_out | null | [
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|
# controlnet-YuhoLiang/model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: High-quality close-up dslr photo of man wearing a hat with trees in the background
!images_0)
prompt: Girl smiling, professi... | [
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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": []} | UdomsakC/mistralai-Code-Instruct-Finetune-test | null | [
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|
# Model Card for Model ID
## Model Details
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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": []} | np28work/openchat-function-calling | null | [
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"1910.09700"
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|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf
[aixsatoshiさんが公開しているLlama-3-8b-Cosmopedia-japanese](https://huggingface.co/aixsatoshi/Llama-3-8b-Cosmopedia-japanese)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。... | {"language": ["en", "ja"], "license": "llama3", "tags": ["llama3"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf | null | [
"gguf",
"llama3",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:llama3",
"region:us"
] | null | 2024-05-01T12:36:43+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-llama3 #region-us
| # aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf
aixsatoshiさんが公開しているLlama-3-8b-Cosmopedia-japaneseのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## 他のモデル
mmnga/aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf
mmnga/aixsatoshi-Honyaku-7b-v2-gguf
mmnga/aixsatoshi-Honyaku-Multi-Tran... | [
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"## 他のモデル\nmmnga/aixsatoshi-Llama-3-8b-Cosmopedia-japanese-gguf \nmmnga/aixsatoshi-Honyaku-7b-v2-gguf \nmmnga/aixsatoshi-Honya... | [
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video-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. -->
# vivit-b-16x2-kinetics400-finetuned-ucf101-subset
This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vivit-b-16x2-kinetics400", "model-index": [{"name": "vivit-b-16x2-kinetics400-finetuned-ucf101-subset", "results": []}]} | kkumtori/vivit-b-16x2-kinetics400-finetuned-ucf101-subset | null | [
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#transformers #tensorboard #safetensors #vivit #video-classification #generated_from_trainer #base_model-google/vivit-b-16x2-kinetics400 #license-mit #endpoints_compatible #region-us
| vivit-b-16x2-kinetics400-finetuned-ucf101-subset
================================================
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0712
* Accuracy: 0.9730
Model description
--------------... | [
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null | diffusers |
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/sayakpaul/diffusion-orpo-lora-sdxl/runs/fdwunkc2).
| {} | sayakpaul/sdxl-orpo-large-beta_orpo-0.005-beta_inner-500-lr-5e-6 | null | [
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audio-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. -->
# distilhubert-bass-classifier8
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["TheDuyx/augmented_bass_sounds"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-bass-classifier8", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "d... | TheDuyx/distilhubert-bass-classifier8 | null | [
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| distilhubert-bass-classifier8
=============================
This model is a fine-tuned version of ntu-spml/distilhubert on the augmented\_bass\_sounds dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0147
* Accuracy: 0.9991
Model description
-----------------
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
### 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": "codellama/CodeLlama-7b-hf"} | CHAFIK12/tsql_to_plsql | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **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"} | Crysiss/llama3-8B-welfare-unsloth-last-3 | 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.
<img src="URL width="200"/>
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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. -->
# NDD-pagekit_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-pagekit_test-content", "results": []}]} | lgk03/NDD-pagekit_test-content | null | [
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| NDD-pagekit\_test-content
=========================
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: 1.2488
* Accuracy: 0.7039
* F1: 0.6933
* Precision: 0.7010
* Recall: 0.7039
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | DNA-LLM/virus_pythia_14_1024_headless | 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 | ## Model Architecture
- **Base Model:** [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
- **Specialization:** Italian Language
## Evaluation
For a detailed comparison of model performance, check out the [Leaderboard for Italian Language Models](https://huggingface.co/spaces/FinancialSupport/open_... | {"language": ["it", "en"], "license": "llama3", "library_name": "transformers", "datasets": ["DeepMount00/llm_ita_ultra"]} | DeepMount00/Llama-3-8b-Ita | null | [
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| Model Architecture
------------------
* Base Model: Meta-Llama-3-8B
* Specialization: Italian Language
Evaluation
----------
For a detailed comparison of model performance, check out the Leaderboard for Italian Language Models.
Here's a breakdown of the performance metrics:
---
How to Use
----------
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Aivasenu/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Aivasenu/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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. -->
# model3e_no_wd_no_perturb
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "model3e_no_wd_no_perturb", "results": []}]} | cria111/model3e_no_wd_no_perturb | null | [
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| model3e\_no\_wd\_no\_perturb
============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1537
* Precision: 0.4272
* Recall: 0.4190
* F1: 0.4231
* Accuracy: 0.9619
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": []} | AI4DS/DeepSeek-33B-NL2SQL | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | ## Llama-3-8B-Lexi-Uncensored-llamafile
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [Lexi-Llama-3-8B-Uncensored_Q8_0.llamafile](https://huggingface.co/rabil/Llama-3-8B-Lexi-Uncensored-llamafile/res... | {"tags": ["llamafile", "GGUF"], "base_model": "Orenguteng/Llama-3-8B-Lexi-Uncensored-GGUF"} | rabil/Llama-3-8B-Lexi-Uncensored-llamafile | null | [
"llamafile",
"GGUF",
"base_model:Orenguteng/Llama-3-8B-Lexi-Uncensored-GGUF",
"region:us"
] | null | 2024-05-01T12:58:27+00:00 | [] | [] | TAGS
#llamafile #GGUF #base_model-Orenguteng/Llama-3-8B-Lexi-Uncensored-GGUF #region-us
| ## Llama-3-8B-Lexi-Uncensored-llamafile
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- Lexi-Llama-3-8B-Uncensored_Q8_0.llamafile
This repository was created using the llamafile-builder
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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": []} | FelixChao/roberta-large-mrpc-lora | null | [
"transformers",
"safetensors",
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"arxiv:1910.09700",
"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** curtisxu
- **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"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | curtisxu/llama3-8b-4bits-nl2sql | null | [
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# Uploaded model
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<img src="URL width="200"/>
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Aivasenu/q-taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/... | Aivasenu/q-taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-01T12:59:25+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | transformers |
# Uploaded model
- **Developed by:** HDBrinkmann
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | HDBrinkmann/4PLANBUDDY_test3_q4 | null | [
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|
# Uploaded model
- Developed by: HDBrinkmann
- 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.
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text-generation | transformers |
# Uploaded model
- **Developed by:** srbdtwentyfour
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | srbdtwentyfour/mystery-llama-3-8b-full | null | [
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|
# Uploaded model
- Developed by: srbdtwentyfour
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Ppoyaa/LexiLumin-34B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/LexiLumin-34B-i1-GGU... | {"language": ["en"], "library_name": "transformers", "base_model": "Ppoyaa/LexiLumin-34B", "quantized_by": "mradermacher"} | mradermacher/LexiLumin-34B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Ppoyaa/LexiLumin-34B",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T13:04:10+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Ppoyaa/LexiLumin-34B #endpoints_compatible #region-us
| 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. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-Ppoyaa/LexiLumin-34B #endpoints_compatible #region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "not-for-all-audiences"], "base_model": "Local-Novel-LLM-project/Ninja-v1-NSFW", "quantized_by": "mradermacher"} | mradermacher/Ninja-v1-NSFW-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pbelcak/gemma_2b_pmc_4gpus_50Ksteps_6 | null | [
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"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T13:04:29+00:00 | [
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] | [] | TAGS
#transformers #safetensors #gemma #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 | transformers |
# Uploaded model
- **Developed by:** HDBrinkmann
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | HDBrinkmann/4PLANBUDDY_test3_q8 | null | [
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|
# Uploaded model
- Developed by: HDBrinkmann
- 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-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. -->
# Mawqif
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-ba... | {"tags": ["generated_from_trainer"], "base_model": "aubmindlab/bert-base-arabertv02-twitter", "model-index": [{"name": "Mawqif", "results": []}]} | mhndbshar/Mawqif | null | [
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"endpoints_compatible",
"region:us"
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|
# Mawqif
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2873
- eval_accuracy: 0.8835
- eval_f1: 0.8205
- eval_precision: 0.8434
- eval_recall: 0.7989
- eval_runtime: 2.0739
- eval_samples_pe... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing **FrozenLake-v1-8x8**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1-8x8** .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-8x8", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slip... | {"tags": ["FrozenLake-v1-8x8", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8", "type": "FrozenLake-v1-8x8"}, "metrics": [{... | ws11yrin/q-FrozenLake-v1-8x8 | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-01T13:06:34+00:00 | [] | [] | TAGS
#FrozenLake-v1-8x8 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing FrozenLake-v1-8x8
This is a trained model of a Q-Learning agent playing FrozenLake-v1-8x8 .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-8x8", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL... | [
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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": []} | abc88767/model30 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Quantizations of https://huggingface.co/allenai/OLMo-1.7-7B-hf
# From original readme
## Uses
### Inference
Install Transformers [from source](https://huggingface.co/docs/transformers/en/installation#install-from-source), or update to the next version when this [PR](https://github.com/huggingface/transformers/pull/... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "OLMo-1.7-7B-hf"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/OLMo-1.7-7B-hf-imatrix-GGUF | null | [
"transformers",
"gguf",
"imatrix",
"OLMo-1.7-7B-hf",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-05-01T13:07:14+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #imatrix #OLMo-1.7-7B-hf #text-generation #en #license-other #region-us
| Quantizations of URL
# From original readme
## Uses
### Inference
Install Transformers from source, or update to the next version when this PR is integrated.
Now, proceed as usual with HuggingFace:
Alternatively, with the pipeline abstraction:
Or, you can make this slightly faster by quantizing the model, e.g. ... | [
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"## Uses",
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"# From original readme",
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token-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": []} | vedantM/BigBird-PII | null | [
"transformers",
"safetensors",
"big_bird",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | null | 2024-05-01T13:07:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #big_bird #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us #has_space
|
# 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 | 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. -->
# phi-1_5-finetuned-dialogstudio
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["dialogstudio"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-dialogstudio", "results": []}]} | ashwani90/phi-1_5-finetuned-dialogstudio | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:dialogstudio",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-05-01T13:07:46+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-dialogstudio #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-dialogstudio
This model is a fine-tuned version of microsoft/phi-1_5 on the dialogstudio dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2433
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
"# phi-1_5-finetuned-dialogstudio\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the dialogstudio dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 3.2433",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/prithivMLmods/Hercules-7B-Instruct-v0.2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "library_name": "transformers", "base_model": "prithivMLmods/Hercules-7B-Instruct-v0.2", "quantized_by": "mradermacher"} | mradermacher/Hercules-7B-Instruct-v0.2-GGUF | null | [
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"base_model:prithivMLmods/Hercules-7B-Instruct-v0.2",
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] | null | 2024-05-01T13:08:12+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-prithivMLmods/Hercules-7B-Instruct-v0.2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing **FrozenLake-v1-8x8-no_slippery**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1-8x8-no_slippery** .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-8x8-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to... | {"tags": ["FrozenLake-v1-8x8-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8-no_slippery", "type": ... | ws11yrin/q-FrozenLake-v1-8x8-noSlippery | null | [
"FrozenLake-v1-8x8-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-01T13:10:49+00:00 | [] | [] | TAGS
#FrozenLake-v1-8x8-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing FrozenLake-v1-8x8-no_slippery
This is a trained model of a Q-Learning agent playing FrozenLake-v1-8x8-no_slippery .
## Usage
model = load_from_hub(repo_id="ws11yrin/q-FrozenLake-v1-8x8-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes ... | [
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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... | raulgadea/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-01T13:11:55+00:00 | [] | [] | TAGS
#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 |
# 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": []} | IsaacDev/movie-fastfit | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# Multiverseex26Neuralsynthesis-7B
Multiverseex26Neuralsynthesis-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: allknowingroger/MultiverseEx26-7B-slerp
- mo... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Multiverseex26Neuralsynthesis-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Multiverseex26Neuralsynthesis-7B
Multiverseex26Neuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | null | # control-de-acceso-facial-con-ia
Hola, chicos en este repositorio encontrarán la programación para que puedan crear su sistema de control de acceso con reconocimiento facial, utilizando inteligencia artificial.
### Conceptos introductorios:
- Este repositorio contiene el código fuente en Python para ejecutar y utiliz... | {} | AprendeIngenia/control_de_acceso_facial_con_ia | null | [
"region:us"
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#region-us
| # control-de-acceso-facial-con-ia
Hola, chicos en este repositorio encontrarán la programación para que puedan crear su sistema de control de acceso con reconocimiento facial, utilizando inteligencia artificial.
### Conceptos introductorios:
- Este repositorio contiene el código fuente en Python para ejecutar y utiliz... | [
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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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | popoi90/donut-base-sroie | null | [
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"license:mit",
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **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"} | Crysiss/llama3-8B-welfare-unsloth-last-4 | null | [
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|
# Uploaded model
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- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/KnutJaegersberg/Deita-Mixtral-8x7b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Deita-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "KnutJaegersberg/Deita-Mixtral-8x7b", "quantized_by": "mradermacher"} | mradermacher/Deita-Mixtral-8x7b-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. -->
# viet_opt_poem_generation
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on ... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "facebook/opt-125m", "model-index": [{"name": "viet_opt_poem_generation", "results": []}]} | duydatnguyen/viet_opt_poem_generation | null | [
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| viet\_opt\_poem\_generation
===========================
This model is a fine-tuned version of facebook/opt-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4801
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | d3vnerd/TTS_twi_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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- Funded by [optional]:
- Shared by [optional]:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# jailbreakDetector-v6-onnx
This model is the onnx transformed version of [markush1/jailbreakDetector-v6](https://huggingface.co/m... | {"tags": ["security", "jailbreak", "prompt-injection", "malicious", "cybersecurity"], "datasets": ["markush1/LLM-Jailbreak-Classifier"], "metrics": ["accuracy"], "base_model": "distilbert/distilroberta-base", "pipeline_tag": "text-classification", "widget": [{"text": "I like cookies.", "example_title": "bening", "outpu... | markush1/jailbreakDetector-v6-onnx | null | [
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|
# jailbreakDetector-v6-onnx
This model is the onnx transformed version of markush1/jailbreakDetector-v6.
## Usage
Use with pipeline
## Model description
This version of markush1/jailbreakDetector-v6 is aimed for optimized deployments, especially for execution in environments that lack GPU.
## Evaluation on C... | [
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feature-extraction | transformers |
# t5-chat-titles
This is a fine-tuned version of [google/t5-small](https://huggingface.co/google-t5/t5-small).
Refer to [ogrnz/chat-titles](https://huggingface.co/datasets/ogrnz/chat-titles) to see the dataset it was trained on and [ogrnz/generate-title-llm](https://github.com/ogrnz/generate-title-llm) to see ... | {"license": "mit"} | ogrnz/t5-chat-titles | null | [
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|
# t5-chat-titles
This is a fine-tuned version of google/t5-small.
Refer to ogrnz/chat-titles to see the dataset it was trained on and ogrnz/generate-title-llm to see the parent repo.
## Notes
The fine-tuned dataset was in English so don't expect it to perform well when generating titles for multilingual ... | [
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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": "microsoft/phi-2"} | eelddot/test-finetuning-phi-2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | Owaner/CodexTokenizerFull6k | 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. -->
# llama3-8b-sft-qlora-re
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-8b-sft-qlora-re", "results": []}]} | jean-claudespi/llama3-8b-sft-qlora-re | null | [
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|
# llama3-8b-sft-qlora-re
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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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. -->
# 0.0001_withdpo_4iters_bs256_511lr_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_2", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_511lr_iter_3", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_3 | null | [
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|
# 0.0001_withdpo_4iters_bs256_511lr_iter_3
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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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": []} | DNA-LLM/virus_pythia_14_1024_cross_entropy | 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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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. -->
# thesis-bart-multi-news
This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "sshleifer/distilbart-cnn-6-6", "model-index": [{"name": "thesis-bart-multi-news", "results": []}]} | roofdancer/thesis-bart-multi-news | null | [
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| thesis-bart-multi-news
======================
This model is a fine-tuned version of sshleifer/distilbart-cnn-6-6 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0035
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\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. -->
# mT5.test32-16.tedtalks.simple
This model is a fine-tuned version of [samzirbo/mT5.pretrained.en-es.16K](https://huggingface.co/s... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "samzirbo/mT5.pretrained.en-es.16K", "model-index": [{"name": "mT5.test32-16.tedtalks.simple", "results": []}]} | samzirbo/mT5.test32-16.tedtalks.simple | null | [
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| URL
===
This model is a fine-tuned version of samzirbo/URL-es.16K on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3820
* Bleu: 24.6309
* Meteor: 0.538
* Chrf++: 48.4823
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\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* lr\\_scheduler\\_warmup\\_step... | [
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null | null |
EXL2 quants for Aqueducts 18B - https://huggingface.co/MarsupialAI/Aqueducts-18B | {"language": ["en"], "license": "cc-by-nc-4.0", "base_model": ["upstage/SOLAR-10.7B-v1.0"]} | MarsupialAI/Aqueducts-18B_exl2 | null | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | lzacchini/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\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 *... | [
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text-generation | transformers | # VinaLlama2-14B Beta
GGUF Here: [VinaLlama2-14B-GGUF](https://huggingface.co/qnguyen3/14b-gguf)
**Top Features**:
- **Context Length**: 32,768 tokens.
- **VERY GOOD** at reasoning, mathematics and creative writing.
- Works with **Langchain Agent** out-of-the-box.
**Known Issues**
- Still a bit struggling with Viet... | {"language": ["vi"], "license": "mit"} | vilm/VinaLlama2-14B | null | [
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"vi"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #vi #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # VinaLlama2-14B Beta
GGUF Here: VinaLlama2-14B-GGUF
Top Features:
- Context Length: 32,768 tokens.
- VERY GOOD at reasoning, mathematics and creative writing.
- Works with Langchain Agent out-of-the-box.
Known Issues
- Still a bit struggling with Vietnamese fact (Hoang Sa & Truong Sa, Historical questions).
- Hall... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-issues-128
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "bert-base-uncased-issues-128", "results": []}]} | fibleep/bert-base-uncased-issues-128 | null | [
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#transformers #pytorch #bert #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-base-uncased-issues-128
============================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2464
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\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: 16",
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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. -->
# HPY_gpt2_v6
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french) ... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_v6", "results": []}]} | azizkt/HPY_gpt2_v6 | null | [
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#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| HPY\_gpt2\_v6
=============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6058
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
"### 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* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | null |
## Introduce
Quantizing the [shenzhi-wang/Llama3-8B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat) to f16, q2, q3, q4, q5, q6 and q8 with Llama.cpp.
| {"license": "apache-2.0"} | Monor/Llama3-8B-Chinese-Chat-gguf | null | [
"gguf",
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"region:us"
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#gguf #license-apache-2.0 #region-us
|
## Introduce
Quantizing the shenzhi-wang/Llama3-8B-Chinese-Chat to f16, q2, q3, q4, q5, q6 and q8 with URL.
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null | null |
## Introduce
Quantizing the [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) to f16, q2, q3, q4, q5, q6 and q8 with Llama.cpp.
| {"license": "apache-2.0"} | Monor/Llama-3-8B-Instruct-262k-gguf | null | [
"gguf",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T13:32:37+00:00 | [] | [] | TAGS
#gguf #license-apache-2.0 #region-us
|
## Introduce
Quantizing the gradientai/Llama-3-8B-Instruct-262k to f16, q2, q3, q4, q5, q6 and q8 with URL.
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] |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: True
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | sallywww/tot_llama_update | null | [
"peft",
"safetensors",
"region:us"
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#peft #safetensors #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: True
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | [
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text-generation | transformers | # This model is experimental and thus results cannot be gauranteed.
# Dendrite-L3-10B
In a similar vein to [Libra-19B](https://huggingface.co/Envoid/Libra-19B) this model was created by taking all of the layers of one model and stacking along with them the first number of lay... | {"license": "cc-by-nc-4.0"} | Envoid/Dendrite-L3-10B | 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": []} | shallow6414/4ts3m5r | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Malaysian Llama-3 8B 65536 context length
65536 context length and 15300000 RoPE Theta.
WanDB, https://wandb.ai/huseinzol05/EasyContext-65536?nw=nwuserhuseinzol05
Source code, https://github.com/mesolitica/malaya/tree/master/session/llama3#extend-1m-context-length
Special thanks to https://github.com/jzhang38/Ea... | {"library_name": "transformers", "tags": []} | mesolitica/malaysian-llama-3-8b-65k | null | [
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# Malaysian Llama-3 8B 65536 context length
65536 context length and 15300000 RoPE Theta.
WanDB, URL
Source code, URL
Special thanks to URL for wrapping URL for distributed training!
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Text-to-image finetuning - izzudd/sd-batik-blip-v2
This pipeline was finetuned from **runwayml/stable-diffusion-v1-5** ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | izzudd/sd-batik-blip-v2 | null | [
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|
# Text-to-image finetuning - izzudd/sd-batik-blip-v2
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MarsupialAI/Aqueducts-18B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aqueducts-18B-i... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "MarsupialAI/Aqueducts-18B", "quantized_by": "mradermacher"} | mradermacher/Aqueducts-18B-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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Spicy-Laymonade-7B - bnb 4bits
- Model creator: https://huggingface.co/ABX-AI/
- Original model: https://huggingface.co/ABX-... | {} | RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-4bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Spicy-Laymonade-7B - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
base_model:
- cgato/TheSpice-7b-v0.1.1
- ABX-AI/Laymonade-7B
library_name: transformers
tags:
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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": []} | fxmeng/PiSSA-Llama-3-70B-4bit-r128-1iter | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
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sn6e - bnb 4bits
- Model creator: https://huggingface.co/RobertML/
- Original model: https://huggingface.co/RobertML/sn6e/
... | {} | RichardErkhov/RobertML_-_sn6e-4bits | null | [
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"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
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sn6e - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
library_name: transformers
tags: []
---
# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers | The fine-tuned model has been uploaded along with its tokenizer. | {"license": "apache-2.0"} | poornima9348/finllama1 | 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)
sn6e - bnb 8bits
- Model creator: https://huggingface.co/RobertML/
- Original model: https://huggingface.co/RobertML/sn6e/
... | {} | RichardErkhov/RobertML_-_sn6e-8bits | null | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
sn6e - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
library_name: transformers
tags: []
---
# Model Card for Model ID
## Model Details
### Model Description
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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-3-Unholy-8B - bnb 4bits
- Model creator: https://huggingface.co/Undi95/
- Original model: https://huggingface.co/Undi9... | {} | RichardErkhov/Undi95_-_Llama-3-Unholy-8B-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-3-Unholy-8B - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
!image/png
Use at your own risk, I'm not responsible for any usage of... | [
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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)
Spicy-Laymonade-7B - bnb 8bits
- Model creator: https://huggingface.co/ABX-AI/
- Original model: https://huggingface.co/ABX-... | {} | RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-8bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
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Request more models
Spicy-Laymonade-7B - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
base_model:
- cgato/TheSpice-7b-v0.1.1
- ABX-AI/Laymonade-7B
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audien... | [
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"## Merge Details\n\nThis is a merge of pre-trained language models created using mergekit.",
"### Merge Method\n\nThis model ... | [
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text-generation | transformers | # med-law-dolphin-beagle-merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the breadcrumbs merge method using [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) a... | {"license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.6-mistral-7b", "Equall/Saul-Instruct-v1", "BioMistral/BioMistral-7B-SLERP", "mlabonne/NeuralBeagle14-7B"]} | varox34/Bio-Saul-Dolphin-Beagle-Breadcrumbs | null | [
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"base_model:mlabonne/NeuralBeagle14-7B",
"license:mi... | null | 2024-05-01T13:52:11+00:00 | [] | [] | TAGS
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the breadcrumbs merge method using mlabonne/NeuralBeagle14-7B as a base.
### Models Merged
The following models were included in the merge:
* cognitive... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** herisan
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | herisan/Codellama-3-8B | null | [
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|
# Uploaded model
- Developed by: herisan
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-mixtral-8x7b-orpo-v1 | null | [
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"conversational",
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"autotrain_compatible",
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"region:us"
] | null | 2024-05-01T13:55:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mixtral #text-generation #autotrain #text-generation-inference #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# 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": []} | np28work/openchat_function_calling_merged | null | [
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"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #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:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | arsimd/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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... | {"license": "apache-2.0", "library_name": "transformers"} | adinath/ollama_v9 | null | [
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"conversational",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T14:01:13+00:00 | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** chillies
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | chillies/phi-3-4k-vn-v2 | null | [
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# Uploaded model
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text-generation | transformers |
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is being trained on around 400B tokens and this is step 43k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT Lice... | {"license": "apache-2.0"} | DrNicefellow/GPT-2-Large-43k-steps | null | [
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Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from URL
It is being trained on around 400B tokens and this is step 43k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.
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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)
Spicy-Laymonade-7B - GGUF
- Model creator: https://huggingface.co/ABX-AI/
- Original model: https://huggingface.co/ABX-AI/Sp... | {} | RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Spicy-Laymonade-7B - GGUF
* Model creator: URL
* Original model: URL
Name: Spicy-Laymonade-7B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Spicy-Laymonade-7B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: Spicy-Laymonade... | [
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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-3-Unholy-8B - bnb 8bits
- Model creator: https://huggingface.co/Undi95/
- Original model: https://huggingface.co/Undi9... | {} | RichardErkhov/Undi95_-_Llama-3-Unholy-8B-8bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-3-Unholy-8B - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: cc-by-nc-4.0
tags:
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!image/png
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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"} | chpardhu/ott_show_finetuned_llama | null | [
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### Model Sources [optional]
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Dv - MacByner
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["dv"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Dv - MacByner", "results": [{"task": {"type": "automatic-speech-recognition", "name": ... | MacByner/whisper-small-dv | null | [
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| Whisper Small Dv - MacByner
===========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1748
* Wer Ortho: 63.4097
* Wer: 13.6280
Model description
-----------------
More information need... | [
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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": []} | eserdy/mistral-7b-dolly | 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 | keras |
# Model Card for my-cool-model
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
this model does this and that
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | YoanG/Phi-3-mini-4k-guanaco | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | Syruhas/first-finetuning-job | 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-generation | transformers |
# **Introduction**
This model translated the [prometheus-eval/Feedback-Collection](https://huggingface.co/datasets/prometheus-eval/Feedback-Collection) dataset into Korean and trained on the llama3-8b-it model.
Train Dataset: [nayohan/feedback-collection-ko](https://huggingface.co/datasets/nayohan/feedback-collection-... | {"language": ["en", "ko"], "license": "llama3", "library_name": "transformers", "tags": ["ko", "eval", "llm-eval"], "datasets": ["nayohan/feedback-collection-ko", "nayohan/feedback-collection-ko-chat"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"], "pipeline_tag": "text-generation"} | nayohan/llama3-8b-it-prometheus-ko | null | [
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# Introduction
This model translated the prometheus-eval/Feedback-Collection dataset into Korean and trained on the llama3-8b-it model.
Train Dataset: nayohan/feedback-collection-ko
### Loading the Model
Use the following Python code to load the model:
### Generating Text
System prompt is fixed, and you can set t... | [
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"### Generating Text\nSystem prompt is fixed, an... | [
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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": []} | QuangDuy/whisper-vi-qlora | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null | Test | {} | MoonpetalStudios/Nhackcropdoc | null | [
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null | transformers | ## About
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static quants of https://huggingface.co/NLPark/AnFeng_v3_Avocet
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/AnFeng_v3_Avoce... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "base_model": "NLPark/AnFeng_v3_Avocet", "quantized_by": "mradermacher"} | mradermacher/AnFeng_v3_Avocet-GGUF | null | [
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#transformers #gguf #en #base_model-NLPark/AnFeng_v3_Avocet #license-cc-by-nc-nd-4.0 #endpoints_compatible #region-us
| 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
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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 |
# 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": []} | lunarsylph/stablecell_v59 | null | [
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"stablelm",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | shallow6414/0lh94kp | 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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