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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": []} | zeyadusf/Mistral-finetuned-DAIGT-2_token | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T17:51:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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... | [
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text2text-generation | transformers |
### Using .generate()
```python
from transformers import GenerationConfig, T5ForConditionalGeneration, T5Tokenizer
model_name = "cu-kairos/propbank_srl_seq2seq_t5_large"
model = T5ForConditionalGeneration.from_pretrained(model_name)
tokenizer = T5Tokenizer.from_pretrained(model_name)
generation_config = GenerationCo... | {"license": "apache-2.0"} | cu-kairos/propbank_srl_seq2seq_t5_large | null | [
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"region:us"
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#transformers #safetensors #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Using .generate()
### Using pipeline
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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-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | vicha-w/Reinforce-Pixelcopter-PLE-v0 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the generato... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/flan-t5-small", "model-index": [{"name": "output", "results": []}]} | hostechs/output | null | [
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|
# output
This model is a fine-tuned version of google/flan-t5-small on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# Uploaded model
- **Developed by:** EdBerg
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | EdBerg/lora_model1 | null | [
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|
# Uploaded model
- Developed by: EdBerg
- 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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object-detection | null |
Counter Strike 2 players detector
## Supported Labels
```
[ 'c', 'ch', 't', 'th' ]
```
## All models
- [yoloV8n_cs2](https://huggingface.co/Vombit/yolov8n_cs2) (6mb)
- [yoloV8s_cs2](https://huggingface.co/Vombit/yolov8s_cs2) (21mb)
- [yoloV9c_cs2](https://huggingface.co/Vombit/yolov9c_cs2) (50mb)
## How to use
``... | {"license": "cc-by-nc-nd-4.0", "tags": ["yolov8", "ultralytics", "yolo", "object-detection", "pytorch", "cs2", "Counter Strike"], "pipeline_tag": "object-detection"} | Vombit/yolov8n_cs2 | null | [
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"pytorch",
"cs2",
"Counter Strike",
"license:cc-by-nc-nd-4.0",
"region:us"
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#onnx #yolov8 #ultralytics #yolo #object-detection #pytorch #cs2 #Counter Strike #license-cc-by-nc-nd-4.0 #region-us
|
Counter Strike 2 players detector
## Supported Labels
## All models
- yoloV8n_cs2 (6mb)
- yoloV8s_cs2 (21mb)
- yoloV9c_cs2 (50mb)
## How to use
## Predict info
Ultralytics YOLOv8.2.3 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (NVIDIA GeForce RTX 4060, 8187MiB):
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object-detection | null |
Counter Strike 2 players detector
## Supported Labels
```
[ 'c', 'ch', 't', 'th' ]
```
## All models
- [yoloV8n_cs2](https://huggingface.co/Vombit/yolov8n_cs2) (6mb)
- [yoloV8s_cs2](https://huggingface.co/Vombit/yolov8s_cs2) (21mb)
- [yoloV9c_cs2](https://huggingface.co/Vombit/yolov9c_cs2) (50mb)
## How to use
``... | {"license": "cc-by-nc-nd-4.0", "tags": ["yolov8", "ultralytics", "yolo", "object-detection", "pytorch", "cs2", "Counter Strike"], "pipeline_tag": "object-detection"} | Vombit/yolov8s_cs2 | null | [
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"cs2",
"Counter Strike",
"license:cc-by-nc-nd-4.0",
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] | null | 2024-04-27T17:56:57+00:00 | [] | [] | TAGS
#onnx #yolov8 #ultralytics #yolo #object-detection #pytorch #cs2 #Counter Strike #license-cc-by-nc-nd-4.0 #region-us
|
Counter Strike 2 players detector
## Supported Labels
## All models
- yoloV8n_cs2 (6mb)
- yoloV8s_cs2 (21mb)
- yoloV9c_cs2 (50mb)
## How to use
## Predict info
Ultralytics YOLOv8.2.3 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (NVIDIA GeForce RTX 4060, 8187MiB):
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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": []} | Sayan01/Phi-by2 | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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#transformers #safetensors #phi #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.
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- Funded by [optional]:
- Shared by [optional]:
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object-detection | null |
Counter Strike 2 players detector
## Supported Labels
```
[ 'c', 'ch', 't', 'th' ]
```
## All models
- [yoloV8n_cs2](https://huggingface.co/Vombit/yolov8n_cs2) (6mb)
- [yoloV8s_cs2](https://huggingface.co/Vombit/yolov8s_cs2) (21mb)
- [yoloV9c_cs2](https://huggingface.co/Vombit/yolov9c_cs2) (50mb)
## How to use
``... | {"license": "cc-by-nc-nd-4.0", "tags": ["yolov9", "ultralytics", "yolo", "object-detection", "pytorch", "cs2", "Counter Strike"], "pipeline_tag": "object-detection"} | Vombit/yolov9c_cs2 | null | [
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"yolo",
"object-detection",
"pytorch",
"cs2",
"Counter Strike",
"license:cc-by-nc-nd-4.0",
"region:us"
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#onnx #yolov9 #ultralytics #yolo #object-detection #pytorch #cs2 #Counter Strike #license-cc-by-nc-nd-4.0 #region-us
|
Counter Strike 2 players detector
## Supported Labels
## All models
- yoloV8n_cs2 (6mb)
- yoloV8s_cs2 (21mb)
- yoloV9c_cs2 (50mb)
## How to use
## Predict info
Ultralytics YOLOv8.2.3 Python-3.10.11 torch-2.0.1+cu118 CUDA:0 (NVIDIA GeForce RTX 4060, 8187MiB):
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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": []} | shallow6414/3brczb7 | null | [
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"safetensors",
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"text-generation",
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"arxiv:1910.09700",
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# Model Card for Model ID
## Model Details
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold4
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold4", "results": [{"task": {"type": "image-classi... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold4 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-large-patch4\_fold4
=========================================================
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft on the imagefolder dataset.
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* Loss: 2.0134... | [
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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. -->
# sythsql-llama3-v4-91500
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "sythsql-llama3-v4-91500", "results": []}]} | ahmedheakl/sythsql-llama3-v4-91500 | null | [
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|
# sythsql-llama3-v4-91500
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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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": []} | Duakovui/viT5_instruct_uit_ACSC | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | quickstep3621/qu1mapa | 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": []} | quickstep3621/c38sh3l | 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": []} | quickstep3621/vkungcx | null | [
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.2
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
# Quantized GGUF
All GGUF models are available here: [... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "chatml"], "datasets": ["Intel/orca_dpo_pairs"], "model_name": "Llama-3-70B-Instruct-DPO-v0.2", "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipel... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.2 | null | [
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<img src="./URL" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.2
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-70B-Instruct' model.
# Quantized GGUF
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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": []} | OmAlve/distilbert-finetuned-imdb-sentiment | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "NousResearch/llama-2-7b-chat-hf"} | Jennny/sft_llama2_pku | null | [
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
# Quantized GGUF
All GGUF models are available here: [... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "chatml"], "datasets": ["Intel/orca_dpo_pairs"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipeline_tag": "text-generation", "license_name": "l... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3 | null | [
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MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3
===========================================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-70B-Instruct' model.
Quantized GGUF
==============
All GGUF models are available here: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.3-GGUF
P... | [] | [
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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. -->
# zaid-gemma01
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None d... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "zaid-gemma01", "results": []}]} | LahiruProjects/zaid-gemma01 | null | [
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|
# zaid-gemma01
This model is a fine-tuned version of google/gemma-2b-it 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 hyperparameters
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text-to-audio | 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": []} | procit001/female_english_voice_v1.5 | null | [
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text-to-image | diffusers | ### 19K_21K_V_1.5 Dreambooth model trained by ahmed-naseer with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fas... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | ahmed-naseer/19k-21k-v-1-5 | null | [
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| ### 19K_21K_V_1.5 Dreambooth model trained by ahmed-naseer with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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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": []} | rPucs/gemma-2b-itTripletDolly-WebNLG | 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/da5esmb | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [johnsnowlabs/JSL-MedLlama-3-8B-v1.0](https:... | {"license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["johnsnowlabs/JSL-MedLlama-3-8B-v1.0", "aaditya/OpenBioLLM-Llama3-8B"]} | timberrific/open-bio-med-merge | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
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* aaditya/OpenBioLLM-Llama3-8B
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text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a fine-tuned version of the TinyLlama-1.1B model, optimized for chat applications using the activation aware quantization technique. It has been trained on a large dataset of text and is capable of generating human-like resp... | {"language": ["en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | MANMEET75/TinyLlama-1.1B-Chat-v1.0-AWQ-4bit | null | [
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| # Model Card for Model ID
This is a fine-tuned version of the TinyLlama-1.1B model, optimized for chat applications using the activation aware quantization technique. It has been trained on a large dataset of text and is capable of generating human-like responses to user input.
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maywell/PiVoT-0.1-Evil-a
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/PiVoT-0.1-Evil-a... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "datasets": ["maywell/ko_wikidata_QA", "kyujinpy/OpenOrca-KO", "Anthropic/hh-rlhf"], "base_model": "maywell/PiVoT-0.1-Evil-a", "quantized_by": "mradermacher"} | mradermacher/PiVoT-0.1-Evil-a-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 |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Model Card for DictaLM-2.0-Instruct
The DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the [DictaLM-2.0](https://huggingface.co/dicta-il/dictalm2.0) generative model using a variety of ... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["instruction-tuned"], "pipeline_tag": "text-generation", "base_model": "dicta-il/dictalm2.0", "inference": false} | dicta-il/dictalm2.0-instruct-GGUF | null | [
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"region:us"
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#transformers #gguf #mistral #instruction-tuned #text-generation #en #he #base_model-dicta-il/dictalm2.0 #license-apache-2.0 #text-generation-inference #region-us
|
<img src="https://i.URL width="300px"/>
# Model Card for DictaLM-2.0-Instruct
The DictaLM-2.0-Instruct Large Language Model (LLM) is an instruct fine-tuned version of the DictaLM-2.0 generative model using a variety of conversation datasets.
For full details of this model please read our release blog post.
This i... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aryanne/Open-StarLake-Swap-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Aryanne/Open-StarLake-Swap-7B", "quantized_by": "mradermacher"} | mradermacher/Open-StarLake-Swap-7B-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Aryanne/Open-StarLake-Swap-7B #license-apache-2.0 #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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] |
text-to-image | diffusers | ### 19K_21K_Version_1.5 Dreambooth model trained by ahmed-naseer with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastB... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | ahmed-naseer/19k-21k-version-1-5 | null | [
"diffusers",
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"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-27T18:37:08+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### 19K_21K_Version_1.5 Dreambooth model trained by ahmed-naseer with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
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null | null | Requanted with new/fixed tokenizer 2024-05-01
iMatrix GGUFs for https://huggingface.co/TheDrummer/Llama-3SOME-8B-v1-BETA
iMatrix generated using Kalomaze's groups_merged.txt
| {} | MarsupialAI/Llama-3SOME-8B-v1-BETA_iMatrix_GGUF | null | [
"gguf",
"region:us"
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#gguf #region-us
| Requanted with new/fixed tokenizer 2024-05-01
iMatrix GGUFs for URL
iMatrix generated using Kalomaze's groups_merged.txt
| [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "results", "results": []}]} | Abhi964/st_sexism_task_4 | null | [
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"base_model:distilbert-base-uncased",
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"region:us"
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|
# results
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6469
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inform... | [
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text-classification | setfit |
# SetFit with mental/mental-bert-base-uncased
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-bert-base-uncased) as the Sentence Transformer embedding model. A [Logis... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "mental/mental-bert-base-uncased", "widget": [{"text": "How to write a science fiction novel"}, {"text": "Overcoming social anxiety and fear of public sp... | richie-ghost/setfit-MedBert-MentalHealth-Topic-Check | null | [
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"model-index",
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#setfit #safetensors #bert #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-mental/mental-bert-base-uncased #model-index #region-us
| SetFit with mental/mental-bert-base-uncased
===========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses mental/mental-bert-base-uncased as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The m... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: mental/mental-bert-base-uncased\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 2 classes",
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text-generation | transformers |
Introducing the [BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
We proudly present...
# Llama 3SOME🦙8B🦙v1🦙BETA 8.0bpw exl... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | riveRiPH/Llama-3SOME-8B-v1-BETA-8.0bpw-h8-exl2 | null | [
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|
Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Llama 3SOME8Bv1BETA 8.0bpw exl2
(built-in calibration dataset is used)
*We've added some things. That's obviously what we're trying to say.*
!image/gif
*An eRP model with a ric... | [
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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": []} | abrarhkml/deberta-base-finetuned-pii-ner | null | [
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"safetensors",
"deberta",
"token-classification",
"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #deberta #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_4iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_1", "model-index": [{"name": "0.0001_4iters_bs256_nodpo_only4w_iter_2", "results": []}]... | ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_2 | null | [
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"en... | null | 2024-04-27T18:42:19+00:00 | [] | [] | TAGS
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# 0.0001_4iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
"# 0.0001_4iters_bs256_nodpo_only4w_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.",
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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": "THUDM/chatglm3-6b-32k"} | Jasomniacs/tinglm | null | [
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"arxiv:1910.09700",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | rahil1206/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-27T18:44:05+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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null | null | base_model: runwayml/stable-diffusion-v1-5 | {"license": "apache-2.0", "tags": ["lora"]} | TahaIqbal/texile-design-lora | null | [
"lora",
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T18:46:07+00:00 | [] | [] | TAGS
#lora #license-apache-2.0 #region-us
| base_model: runwayml/stable-diffusion-v1-5 | [] | [
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text-generation | transformers |
# Llama 3 8B AWQ 4-bit Quantized
- This is an AWQ 4-bit Quantized version of Meta's Llama 3 8B. | {"language": ["en"], "license": "llama3"} | maitreyaz/Llama-3-8B-AWQ-4bit | null | [
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"en",
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"autotrain_compatible",
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"4-bit",
"region:us"
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"en"
] | TAGS
#transformers #safetensors #llama #text-generation #en #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Llama 3 8B AWQ 4-bit Quantized
- This is an AWQ 4-bit Quantized version of Meta's Llama 3 8B. | [
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] |
text-generation | null |
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Model Card for DictaLM-2.0
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
For full details of this model please read our [re... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["pretrained"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | dicta-il/dictalm2.0-GGUF | null | [
"gguf",
"pretrained",
"text-generation",
"en",
"he",
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T18:49:00+00:00 | [] | [
"en",
"he"
] | TAGS
#gguf #pretrained #text-generation #en #he #license-apache-2.0 #region-us
|
<img src="https://i.URL width="300px"/>
# Model Card for DictaLM-2.0
The DictaLM-2.0 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters trained to specialize in Hebrew text.
For full details of this model please read our release blog post.
This is the base model designed fo... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | WillXH/my_awesome_eli5_clm-model | null | [
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"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:eli5_category",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T18:49:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5649
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# amtibot_bart
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on ... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "amtibot_bart", "results": []}]} | josiahgottfried/amtibot_bart | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:facebook/bart-large-cnn",
"license:mit",
"region:us"
] | null | 2024-04-27T18:49:53+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #region-us
| amtibot\_bart
=============
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5905
* Rouge1: 0.4051
* Rouge2: 0.195
* Rougel: 0.3054
* Rougelsum: 0.3053
* Gen Len: 65.7532
Model description
-----------------
More... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Danielbrdz/Barcenas-2x10.7b-Korean
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "chihoonlee10/T3Q-ko-solar-dpo-v6.0", "freewheelin/free-solar-evo-v0.1"], "base_model": "Danielbrdz/Barcenas-2x10.7b-Korean", "quantized_by": "mradermacher"} | mradermacher/Barcenas-2x10.7b-Korean-GGUF | null | [
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"en"
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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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] |
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-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | HusseinEid/Reinforce-Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-27T18:58:13+00:00 | [] | [] | TAGS
#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
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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text-to-image | diffusers | # ishtar_fgo_XL
<Gallery />
## Trigger words
You should use `ishtar` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/FanRuoChenXi/ishtar_fgo_XL/tree/main) them in the Files & versions tab.
| {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1girl, solo, ishtar, looking at viewer, mismatched bikini, black panties, asymmetrical legwear, single detached sleeve, hoop earrings, crown, neck ring, hair ribbon, gold trim, masterpiece, be... | FanRuoChenXi/ishtar_fgo_XL | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:cagliostrolab/animagine-xl-3.0",
"license:mit",
"region:us"
] | null | 2024-04-27T19:00:50+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.0 #license-mit #region-us
| # ishtar_fgo_XL
<Gallery />
## Trigger words
You should use 'ishtar' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | null | AdHoc classification head built on top of EfficentnetV2-M-21k feature extractor using [CrossPrism](https://apps.apple.com/us/app/crossprism-photo-labeler/id1638429352?mt=12) on MacOS.
YouTube demo of the classifier over videos: [https://youtu.be/qhpP73sYn6k](https://youtu.be/qhpP73sYn6k) | {"license": "apache-2.0", "tags": ["surveillance", "tesla", "sentry"]} | crossprism/tesla_sentry_keyed | null | [
"coreml",
"surveillance",
"tesla",
"sentry",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2024-04-27T19:00:57+00:00 | [] | [] | TAGS
#coreml #surveillance #tesla #sentry #license-apache-2.0 #has_space #region-us
| AdHoc classification head built on top of EfficentnetV2-M-21k feature extractor using CrossPrism on MacOS.
YouTube demo of the classifier over videos: URL | [] | [
"TAGS\n#coreml #surveillance #tesla #sentry #license-apache-2.0 #has_space #region-us \n"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_bert_20K_10
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_bert_20K_10", "results": []}]} | Elkelouizajo/BERT_mnli_20K | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-large-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T19:02:10+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-large-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# results_bert_20K_10
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
"# results_bert_20K_10\n\nThis model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.",
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"## Training and evaluation data\n\nMore information needed",
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text-generation | null |
## Llamacpp imatrix Quantizations of Qwen1.5-110B-Chat
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2717">b2717</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen1.5-110B-Chat
All quants made using ima... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Qwen1.5-110B-Chat-GGUF | null | [
"gguf",
"chat",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-27T19:03:22+00:00 | [] | [
"en"
] | TAGS
#gguf #chat #text-generation #en #license-other #region-us
| Llamacpp imatrix Quantizations of Qwen1.5-110B-Chat
---------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file (not the... | [] | [
"TAGS\n#gguf #chat #text-generation #en #license-other #region-us \n"
] | [
21
] | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | macundin/onePiece | null | [
"fastai",
"has_space",
"region:us"
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#fastai #has_space #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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null | transformers |
# hus960/Laylewcules-7B-v.02-Q4_K_M-GGUF
This model was converted to GGUF format from [`Nitral-AI/Laylewcules-7B-v.02`](https://huggingface.co/Nitral-AI/Laylewcules-7B-v.02) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Nitral-AI/Lewcules-7B-v.02", "l3utterfly/mistral-7b-v0.2-layla-v4"]} | hus960/Laylewcules-7B-v.02-Q4_K_M-GGUF | null | [
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"endpoints_compatible",
"region:us"
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#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Nitral-AI/Lewcules-7B-v.02 #base_model-l3utterfly/mistral-7b-v0.2-layla-v4 #endpoints_compatible #region-us
|
# hus960/Laylewcules-7B-v.02-Q4_K_M-GGUF
This model was converted to GGUF format from 'Nitral-AI/Laylewcules-7B-v.02' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serve... | [
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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)
Meta-Llama-3-8B - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-lla... | {} | RichardErkhov/meta-llama_-_Meta-Llama-3-8B-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-8B - GGUF
* Model creator: URL
* Original model: URL
Name: Meta-Llama-3-8B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.96GB
Name: Meta-Llama-3-8B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.28GB
Name: Meta-Llama-3-8B.IQ3\_S.g... | [
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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/t0lxkbn | 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 | 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)
Meta-Llama-3-8B-Instruct - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co... | {} | RichardErkhov/meta-llama_-_Meta-Llama-3-8B-Instruct-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-27T19:07:11+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Meta-Llama-3-8B-Instruct - GGUF
* Model creator: URL
* Original model: URL
Name: Meta-Llama-3-8B-Instruct.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.96GB
Name: Meta-Llama-3-8B-Instruct.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.28GB
Nam... | [
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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. -->
# roberta-base-mr-6000ar
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluat... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "model-index": [{"name": "roberta-base-mr-6000ar", "results": []}]} | Mikask/roberta-base-mr-6000ar | null | [
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"roberta",
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"generated_from_trainer",
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#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| roberta-base-mr-6000ar
======================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0515
* Accuracy: 0.9413
* Precision: 0.9643
* Recall: 0.9265
* F1: 0.9450
Model description
-----------------
More information needed
Intend... | [
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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": []} | StefanG2002/gemma-1.1-2b-it-cli | 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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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/yaojialzc/Gigi-Llama3-8B-Chinese-zh
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama", "latest"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "yaojialzc/Gigi-Llama3-8B-Chinese-zh", "quantized_by": "mradermacher"} | mradermacher/Gigi-Llama3-8B-Chinese-zh-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": []} | omertafveez/Gemma-3B-TherapyChatBot | null | [
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"gemma",
"text-generation",
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#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-classification | setfit |
# SetFit with Clinical-AI-Apollo/Medical-NER
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical-AI-Apollo/Medical-NER) as the Sentence Transformer embedding model. A [Logistic... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "Clinical-AI-Apollo/Medical-NER", "widget": [{"text": "How to write a science fiction novel"}, {"text": "Overcoming social anxiety and fear of public spe... | richie-ghost/setfit-MedBert-TokenClassifier-MentalHealth-Topic-Check | null | [
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| SetFit with Clinical-AI-Apollo/Medical-NER
==========================================
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The mode... | [
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text-generation | transformers |
[<img src="https://ai.hooking.co.il/upload/images/logo/0qUf-dashboard-hookingai-logo.png"/>](https://software.hooking.ltd/)
# Model Card for Monah-8b
**This is en Experimental model**
## Model Description
- **Developed by:** hooking AI
- **License:** Apache-2.0
- **Original Model:** Monah-8b (base model: llama-3-8... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "llama", "trl", "sft"], "base_model": "meta-llama/Meta-Llama-3-8B", "extra_gated_fields": {"Name": "text", "Company": "text", "Country": "country", "I want to use this model for": {"type": "select", "options": ["Research... | hooking-dev/Monah-8b | null | [
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|
<img src="URL
# Model Card for Monah-8b
This is en Experimental model
## Model Description
- Developed by: hooking AI
- License: Apache-2.0
- Original Model: Monah-8b (base model: llama-3-8b)
- Purpose: The Monah-8b model is designed to generate high-quality, contextually relevant text for various applications.
- ... | [
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null | null |
Fine-tune of https://huggingface.co/vikhyatk/moondream2 on a subset of the Cauldron, designed to improve visual question answering and reading of text off of natural images.
This is a WIP, and the model versions available may change with commits. Still figuring out what the best subset is to make this as useful as p... | {"license": "apache-2.0", "datasets": ["HuggingFaceM4/the_cauldron"]} | nkasmanoff/picorder-moondream | null | [
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#gguf #dataset-HuggingFaceM4/the_cauldron #license-apache-2.0 #region-us
|
Fine-tune of URL on a subset of the Cauldron, designed to improve visual question answering and reading of text off of natural images.
This is a WIP, and the model versions available may change with commits. Still figuring out what the best subset is to make this as useful as possible for real world scenarios.
This... | [] | [
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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | {"title": "RAG-Chatbot", "emoji": "\ud83c\udf18w\ud83c\udf16", "colorFrom": "yellow", "colorTo": "red", "sdk": "gradio", "sdk_version": "4.24.0", "app_file": "app.py", "pinned": true, "short_description": "A retrieval system with chatbot integration"} | DarylMaxime/Chatbot-Text2Speech-Translator | null | [
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text-generation | null |
## Exllama v2 Quantizations of Phi-3-mini-4k-instruct
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"}... | bartowski/Phi-3-mini-4k-instruct-exl2 | null | [
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#nlp #code #text-generation #en #license-mit #region-us
|
## Exllama v2 Quantizations of Phi-3-mini-4k-instruct
Using <a href="URL ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the URL, download one of the other branches for the model (see below)</b>
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | whiskeyriot/ppo-Huggy | null | [
"ml-agents",
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"Huggy",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-small-patch4-window16-256_fold3
This model is a fine-tuned version of [microsoft/swinv2-small-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-small-patch4-window16-256", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-small-patch4-window16-256_fold3", "results": [{"task": {"type": "image-classificatio... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-small-patch4-window16-256_fold3 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-small-patch4-window16-256\_fold3
======================================================================
This model is a fine-tuned version of microsoft/swinv2-small-patch4-window16-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-classification | setfit |
# SetFit with sentence-transformers/sentence-t5-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/sentence-t5-large](https://huggingface.co/sentence-transformers/sentence-t5-large) as the Sentence Transformer e... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/sentence-t5-large", "widget": [{"text": "How to write a science fiction novel"}, {"text": "Overcoming social anxiety and fear of p... | richie-ghost/setfit-sentence-t5-large-MentalHealth-Topic-Check | null | [
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| SetFit with sentence-transformers/sentence-t5-large
===================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/sentence-t5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/sentence-t5-large\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 256 tokens\n* Number of Classes: 2 classes",
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text-generation | transformers |
# Uploaded model
- **Developed by:** OnlyCheeini
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | OnlyCheeini/Alma-medical | null | [
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|
# Uploaded model
- Developed by: OnlyCheeini
- 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 |
<!-- 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. -->
# 0.01_4iters_bs256_nodpo_only4w_iter_4
This model is a fine-tuned version of [ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_3](... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_3", "model-index": [{"name": "0.01_4iters_bs256_nodpo_only4w_iter_4", "results": []}]} | ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_4 | null | [
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# 0.01_4iters_bs256_nodpo_only4w_iter_4
This model is a fine-tuned version of ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | himanshubeniwal/mt5-base-finetuned-kk-to-en-filthy-American | null | [
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#transformers #safetensors #mt5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | justingrammens/my_awesome_qa_model | null | [
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] | null | 2024-04-27T19:25:15+00:00 | [] | [] | TAGS
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|
# my_awesome_qa_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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"## Training and evaluation data\n\nMore information needed",
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audio-to-audio | null | 
# Aneta Langerová V1 [CZ] (2007)
# 1257 Epochs - RVC V2 - rmvpe - Titan Medium
Trained on 10 minutes 17 seconds of isolated acapellas from Dotyk album using UVR (Voc FT + Reverb HQ)
and Audacity to remove part... | {"language": ["cz"], "license": "openrail", "tags": ["music", "rvc", "aneta", "langerova", "model"], "pipeline_tag": "audio-to-audio"} | JapGuy/Aneta_Langerova_V1 | null | [
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] | TAGS
#music #rvc #aneta #langerova #model #audio-to-audio #cz #license-openrail #region-us
| !URL
# Aneta Langerová V1 [CZ] (2007)
# 1257 Epochs - RVC V2 - rmvpe - Titan Medium
Trained on 10 minutes 17 seconds of isolated acapellas from Dotyk album using UVR (Voc FT + Reverb HQ)
and Audacity to remove parts with double vocals and vocals from others (+Noise Gate) | [
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text-to-audio | 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. -->
# SpeechT5 TTS LJ_Speech
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_... | {"language": ["en"], "license": "mit", "tags": ["TTS,", "generated_from_trainer"], "datasets": ["lj_speech"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "SpeechT5 TTS LJ_Speech", "results": []}]} | JDhillon/speecht5_tts_lj_speech2 | null | [
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| SpeechT5 TTS LJ\_Speech
=======================
This model is a fine-tuned version of microsoft/speecht5\_tts on the lj\_speech dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3659
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": []} | avinot/tokenizer-lol-champs | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T19:28:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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... | [
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text-classification | setfit |
# SetFit with FacebookAI/roberta-Large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [FacebookAI/roberta-Large](https://huggingface.co/FacebookAI/roberta-Large) as the Sentence Transformer embedding model. A [LogisticRegression](https:... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-Large", "widget": [{"text": "How to write a science fiction novel"}, {"text": "Overcoming social anxiety and fear of public speaking"... | richie-ghost/setfit-FacebookAI-roberta-Large-MentalHealth-Topic-Check | null | [
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"sentence-transformers",
"text-classification",
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"arxiv:2209.11055",
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"region:us"
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#setfit #safetensors #roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-FacebookAI/roberta-Large #region-us
| SetFit with FacebookAI/roberta-Large
====================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses FacebookAI/roberta-Large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: FacebookAI/roberta-Large\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 2 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Efficient Few-Shot... | [
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text-generation | transformers |
Introducing the [BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
We proudly present...
# Llama 3SOME🦙8B🦙v1🦙BETA 6.0bpw exl... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | riveRiPH/Llama-3SOME-8B-v1-BETA-6.0bpw-h8-exl2 | null | [
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"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-27T19:32:59+00:00 | [] | [] | TAGS
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|
Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Llama 3SOME8Bv1BETA 6.0bpw exl2
(built-in calibration dataset is used)
*We've added some things. That's obviously what we're trying to say.*
!image/gif
*An eRP model with a ric... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aryanne/WestSenzu-Swap-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Aryanne/WestSenzu-Swap-7B", "quantized_by": "mradermacher"} | mradermacher/WestSenzu-Swap-7B-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T19:34:25+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Aryanne/WestSenzu-Swap-7B #license-apache-2.0 #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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] |
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": []} | Punter1504/wav2vec2-base-timit-demo-google-colab | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T19:34:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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 | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/tenyx/Llama3-TenyxChat-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama3-TenyxCh... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["tenyx-fine-tuning", "dpo", "tenyxchat", "llama3"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "tenyx/Llama3-TenyxChat-70B", "quantized_by": "mradermacher"} | mradermacher/Llama3-TenyxChat-70B-GGUF | null | [
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"license:llama3",
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] | null | 2024-04-27T19:34:46+00:00 | [] | [
"en"
] | TAGS
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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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] |
null | null | # Qwen1.5-110B-Chat-gguf
[Qwenさんが公開しているQwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)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。
## ライセンス
tongyi-qianwenライセンスになります。
[ご使用前にライセンスをご確認ください](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE)
## Usage... | {"language": ["en", "ja"], "license": "other", "tags": ["qwen"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE"} | mmnga/Qwen1.5-110B-Chat-gguf | null | [
"gguf",
"qwen",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:other",
"region:us"
] | null | 2024-04-27T19:35:48+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #qwen #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-other #region-us
| # Qwen1.5-110B-Chat-gguf
Qwenさんが公開しているQwen1.5-110B-Chat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。
## ライセンス
tongyi-qianwenライセンスになります。
ご使用前にライセンスをご確認ください
## Usage
| [
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"## ライセンス\ntongyi-qianwenライセンスになります。 \nご使用前にライセンスをご確認ください",
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] |
null | transformers |
# hus960/Nyan-Stunna-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Nitral-AI/Nyan-Stunna-7B`](https://huggingface.co/Nitral-AI/Nyan-Stunna-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["arlineka/KittyNyanster-v1", "Nitral-AI/KukulStanta-7B"]} | hus960/Nyan-Stunna-7B-Q4_K_M-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"base_model:arlineka/KittyNyanster-v1",
"base_model:Nitral-AI/KukulStanta-7B",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T19:36:13+00:00 | [] | [] | TAGS
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|
# hus960/Nyan-Stunna-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Nitral-AI/Nyan-Stunna-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# hus960/Nyan-Stunna-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Nitral-AI/Nyan-Stunna-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
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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/jyte9i7 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T19:37:59+00:00 | [
"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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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. -->
# 0.1_4iters_bs256_nodpo_only4w_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_2](ht... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_2", "model-index": [{"name": "0.1_4iters_bs256_nodpo_only4w_iter_3", "results": []}]} | ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_3 | null | [
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"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-27T19:39:13+00:00 | [] | [] | TAGS
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|
# 0.1_4iters_bs256_nodpo_only4w_iter_3
This model is a fine-tuned version of ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_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 infor... | [
"# 0.1_4iters_bs256_nodpo_only4w_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.1_4iters_bs256_nodpo_only4w_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluat... | [
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null | peft |
# SeELLama (Semantic Extraction LLama)
Model is based on LLama2-7b and fine-tuned with the `DehydratedWater42/semantic_relations_extraction` dataset.
The purpose of this model is to extract semantic relations from text in a structured way.
#### Simplified Example:
- **Initial Text**: "While there is beautiful weathe... | {"language": ["en"], "license": "llama2", "library_name": "peft", "tags": ["math", "semantic", "extraction", "graph", "relations", "science", "synthetic"], "datasets": ["DehydratedWater42/semantic_relations_extraction"], "base_model": "NousResearch/Llama-2-7b-hf", "inference": false} | DehydratedWater42/SeELLama-qlora-adapter | null | [
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"en",
"dataset:DehydratedWater42/semantic_relations_extraction",
"base_model:NousResearch/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-27T19:39:19+00:00 | [] | [
"en"
] | TAGS
#peft #safetensors #math #semantic #extraction #graph #relations #science #synthetic #en #dataset-DehydratedWater42/semantic_relations_extraction #base_model-NousResearch/Llama-2-7b-hf #license-llama2 #region-us
|
# SeELLama (Semantic Extraction LLama)
Model is based on LLama2-7b and fine-tuned with the 'DehydratedWater42/semantic_relations_extraction' dataset.
The purpose of this model is to extract semantic relations from text in a structured way.
#### Simplified Example:
- Initial Text: "While there is beautiful weather ou... | [
"# SeELLama (Semantic Extraction LLama)\nModel is based on LLama2-7b and fine-tuned with the 'DehydratedWater42/semantic_relations_extraction' dataset.\n\nThe purpose of this model is to extract semantic relations from text in a structured way.",
"#### Simplified Example:\n- Initial Text: \"While there is beautif... | [
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null | transformers |
# hus960/Stanta-Lelemon-Maid-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Nitral-AI/Stanta-Lelemon-Maid-7B`](https://huggingface.co/Nitral-AI/Stanta-Lelemon-Maid-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mode... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Nitral-AI/Lelemon-Maid-7B", "Nitral-AI/KukulStanta-7B"], "model-index": [{"name": "Stanta-Lelemon-Maid-7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "datas... | hus960/Stanta-Lelemon-Maid-7B-Q4_K_M-GGUF | null | [
"transformers",
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"base_model:Nitral-AI/KukulStanta-7B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T19:39:54+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Nitral-AI/Lelemon-Maid-7B #base_model-Nitral-AI/KukulStanta-7B #license-other #model-index #endpoints_compatible #region-us
|
# hus960/Stanta-Lelemon-Maid-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Nitral-AI/Stanta-Lelemon-Maid-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# hus960/Stanta-Lelemon-Maid-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Nitral-AI/Stanta-Lelemon-Maid-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or t... | [
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"# hus960/Stanta-Lelemon-Maid-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Nitral-AI/St... | [
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null | null |
# Kaoeiri/Keiana-L3-Test6.25-8B-18.5-Q6_K-GGUF
This model was converted to GGUF format from [`Kaoeiri/Keiana-L3-Test6.25-8B-18.5`](https://huggingface.co/Kaoeiri/Keiana-L3-Test6.25-8B-18.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"tags": ["llama-cpp", "gguf-my-repo"]} | Kaoeiri/Keiana-L3-Test6.25-8B-18.5-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-27T19:41:01+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# Kaoeiri/Keiana-L3-Test6.25-8B-18.5-Q6_K-GGUF
This model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.25-8B-18.5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CL... | [
"# Kaoeiri/Keiana-L3-Test6.25-8B-18.5-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.25-8B-18.5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server... | [
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"# Kaoeiri/Keiana-L3-Test6.25-8B-18.5-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.25-8B-18.5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# Kaoeiri/Keiana-L3-Test6.25-8B-18.5-Q6_K-GGUF\nThis model was converted to GGUF format from 'Kaoeiri/Keiana-L3-Test6.25-8B-18.5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall ... |
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": "mistralai/Mistral-7B-v0.1"} | cgihlstorf/NEW_finetuned_Mistral-7B32_1_0.0003_alternate | null | [
"peft",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-27T19:42:21+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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text-to-image | diffusers |
# Dream Diffusion LIGHTNING XL & SD V2 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to ... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/dream-diffusion-lightning | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-27T19:43:00+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Dream Diffusion LIGHTNING XL & SD V2 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "dream-diffusion-lightning"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for fr... | [
"# Dream Diffusion LIGHTNING XL & SD V2 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"dream-diffusion-lightning\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View doc... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# Dream Diffusion LIGHTNING XL & SD V2 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from Mode... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-131_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/Eleuthe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-131_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-131_IMDB | null | [
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"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T19:43:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-410m_mz-131_IMDB
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
"# robust_llm_pythia-410m_mz-131_IMDB\n\nThis model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tra... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** JensWie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct"} | JensWie/llama-3-8b-Instruct-bnb-4bit-english-friend | null | [
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|
# Uploaded model
- Developed by: JensWie
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct
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 | # Prodigy SM Base v0.1
<img src="https://cdn-uploads.huggingface.co/production/uploads/617bbeec14572ebe9e6ea83f/4p2zaOWu6kTS3fcbevHef.png" width="70%" height="70%">
In our latest endeavour, we performed continued pre-training of a large language model (Mistral-7b-v0.1) to understand and generate text in new languages... | {"language": ["en", "sr", "hr", "bs"], "license": "apache-2.0"} | iskonai/prodigy-sm-base-v0.1 | null | [
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| # Prodigy SM Base v0.1
<img src="URL width="70%" height="70%">
In our latest endeavour, we performed continued pre-training of a large language model (Mistral-7b-v0.1) to understand and generate text in new languages, including Serbian, Bosnian and Croatian using an innovative approach.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": ["trl", "orpo"]} | amarard/FinetunedOrpoLlama-3-8B | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# parp-wave2vec
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "parp-wave2vec", "results": []}]} | atishayj25/parp-wave2vec | null | [
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| parp-wave2vec
=============
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4483
* Wer: 0.3476
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
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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": []} | yimingzhang/deberta-v3-large-prompt-leakage | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "xlm-roberta-base", "model-index": [{"name": "results", "results": []}]} | akiseid/Amharic-News-Classification | null | [
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| results
=======
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2719
* Accuracy: 0.9387
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_total_Instruction0_PSOAL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_PSOAL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_PSOAL_v1_h1 | null | [
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|
# CS505_COQE_viT5_total_Instruction0_PSOAL_v1_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_total_Instruction0_ASOPL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_ASOPL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_ASOPL_v1_h1 | null | [
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#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_total_Instruction0_ASOPL_v1_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
"# CS505_COQE_viT5_total_Instruction0_ASOPL_v1_h1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"#... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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