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null | mlx |
# mlx-community/OpenELM-450M-instruct-8bit
This model was converted to MLX format from [`apple/OpenELM-450M-instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-450M-instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-450M-instruct-8bit | null | [
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"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
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#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-450M-instruct-8bit
This model was converted to MLX format from ['apple/OpenELM-450M-instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-detox
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the Non... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-detox", "results": []}]} | NikAlan/phi-2-finetuned-detox | null | [
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"safetensors",
"phi",
"generated_from_trainer",
"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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|
# phi-2-finetuned-detox
This model is a fine-tuned version of microsoft/phi-2 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
T... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MikeMpapa/lmd_mmm_tokenizer_tutorial_artist | null | [
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"arxiv:1910.09700",
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"region:us",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
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image-to-text | transformers |
#### Running the model on GPU
```python
import requests
from PIL import Image
from transformers import BlipProcessor, BlipForConditionalGeneration
processor = BlipProcessor.from_pretrained("prithivMLmods/Beetz-Image-Captioning-Blip")
model = BlipForConditionalGeneration.from_pretrained("prit... | {"license": "creativeml-openrail-m", "tags": ["image-captioning"], "pipeline_tag": "image-to-text", "languages": ["en"]} | prithivMLmods/Beetz-Image-Captioning-Blip | null | [
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null | mlx |
# mlx-community/OpenELM-450M-8bit
This model was converted to MLX format from [`apple/OpenELM-450M`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-450M) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm imp... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-450M-8bit | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T15:33:05+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-450M-8bit
This model was converted to MLX format from ['apple/OpenELM-450M']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arlineka/Ionic-4x8
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ionic-4x8-i1-GGUF
## U... | {"language": ["en"], "library_name": "transformers", "base_model": "arlineka/Ionic-4x8", "quantized_by": "mradermacher"} | mradermacher/Ionic-4x8-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-arlineka/Ionic-4x8 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Human_tiny_Seed101 | null | [
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
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- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Human_tiny_Seed101 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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": []} | heyllm234/sc76 | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# HSE_PRAVO_complexity_classifier_roberta_20steps
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://hug... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_roberta_20steps", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_roberta_20steps | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"license:mit",
"region:us"
] | null | 2024-04-24T15:35:50+00:00 | [] | [] | TAGS
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|
# HSE_PRAVO_complexity_classifier_roberta_20steps
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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. -->
# result_weight
This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyen... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "nguyenvulebinh/wav2vec2-base-vietnamese-250h", "model-index": [{"name": "result_weight", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogniti... | AnhDuc2507/wav2vec2.0_train_on_2100_audio | null | [
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"license:cc-by-nc-4.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T15:36:05+00:00 | [] | [] | TAGS
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| result\_weight
==============
This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6430
* Wer: 0.7862
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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text-generation | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/franciscobdl/EstigiaxGemmaIt
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "base_model": "franciscobdl/EstigiaxGemmaIt", "quantized_by": "mradermacher"} | mradermacher/EstigiaxGemmaIt-GGUF | null | [
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"license:other",
"endpoints_compatible",
"region:us"
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"en"
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#transformers #gguf #autotrain #text-generation-inference #text-generation #peft #en #base_model-franciscobdl/EstigiaxGemmaIt #license-other #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... | [] | [
"TAGS\n#transformers #gguf #autotrain #text-generation-inference #text-generation #peft #en #base_model-franciscobdl/EstigiaxGemmaIt #license-other #endpoints_compatible #region-us \n"
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama3-8b-8000-dpo
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama... | {"license": "other", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-8b-8000-dpo", "results": []}]} | Yaxin1992/llama3-8b-8000-dpo | null | [
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"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-24T15:38:13+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# llama3-8b-8000-dpo
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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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"## Intended uses & limitations\n\nMore information needed",
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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": []} | cilantro9246/w3sf33b | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T15:38:40+00:00 | [
"1910.09700"
] | [] | TAGS
#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:
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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": []} | ahmed807762/DialoGPT-large-vetdataset-finetuned | null | [
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"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #tensorboard #safetensors #gpt2 #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 | # 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Met... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ai-maker-space/riddle-bot-v1", "ai-maker-space/leagaleasy-llama-3-instruct-v2", "meta-llama/Meta-Llama-3-8B-Instruct"]} | llm-wizard/RiddleLegalEasy | null | [
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"base_model:ai-maker-space/leagaleasy-llama-3-instruct-v2",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"autotrain_compatible",... | null | 2024-04-24T15:44:09+00:00 | [
"2306.01708"
] | [] | TAGS
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using meta-llama/Meta-Llama-3-8B-Instruct as a base.
### Models Merged
The following models were included in the merge:
* ai-maker-space/riddle-bot-v1
*... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arlineka/Ionic1-4x8
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ionic1-4x8-i1-GGUF
##... | {"language": ["en"], "library_name": "transformers", "base_model": "arlineka/Ionic1-4x8", "quantized_by": "mradermacher"} | mradermacher/Ionic1-4x8-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:arlineka/Ionic1-4x8",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T15:45:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-arlineka/Ionic1-4x8 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-arlineka/Ionic1-4x8 #endpoints_compatible #region-us \n"
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null | null |
# Llama-3-8B-NLI-ties2
Llama-3-8B-NLI-ties2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [/content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained](https://huggingface.co//content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained)
* [/content/drive/MyDrive/llama3_label... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "/content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained", "/content/drive/MyDrive/llama3_label_rationale_pretrained3"]} | pwei07/Llama-3-8B-NLI-ties2 | null | [
"merge",
"mergekit",
"lazymergekit",
"/content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained",
"/content/drive/MyDrive/llama3_label_rationale_pretrained3",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T15:47:40+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #/content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained #/content/drive/MyDrive/llama3_label_rationale_pretrained3 #license-apache-2.0 #region-us
|
# Llama-3-8B-NLI-ties2
Llama-3-8B-NLI-ties2 is a merge of the following models using mergekit:
* /content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained
* /content/drive/MyDrive/llama3_label_rationale_pretrained3
## Configuration
| [
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null | null | # Segment Anything Tool
The segment anything tool is uses the [Segment Anything Model](https://github.com/facebookresearch/segment-anything) (SAM).
This folder contains the ONNX files that represent the SAM and are used by the browser to compute segmentations.
## Get model checkpoint
The SAM is [provided by Facebook... | {"license": "apache-2.0"} | rajlab/sam_vit_b | null | [
"onnx",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T15:48:49+00:00 | [] | [] | TAGS
#onnx #license-apache-2.0 #region-us
| # Segment Anything Tool
The segment anything tool is uses the Segment Anything Model (SAM).
This folder contains the ONNX files that represent the SAM and are used by the browser to compute segmentations.
## Get model checkpoint
The SAM is provided by Facebook in the form of a pytorch model: a '.pth' file.
There are... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | nvasko/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-24T15:49:13+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n ... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# token-classification-llmlingua2-xlm-roberta-bctn-38k_chunk
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-38k_chunk", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-38k_chunk | null | [
"transformers",
"tensorboard",
"safetensors",
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"base_model:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-FacebookAI/xlm-roberta-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
| token-classification-llmlingua2-xlm-roberta-bctn-38k\_chunk
===========================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0110
Model description
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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",
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text-generation | transformers | <div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-0... | {"language": ["en"], "license": "apache-2.0", "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "widget": [{"example_title": "Fibonacci (Python)", "messages": [{"role": "system", "content": "You are a chatbot who can help code!"},... | HabaAndrei/model_tiny_llama | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endp... | null | 2024-04-24T15:50:34+00:00 | [] | [
"en"
] | TAGS
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# TinyLlama-1.1B
</div>
URL
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs . The training has started on 2023-09-01.
We adopted exactly the same architect... | [
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text-to-image | diffusers | ### Scented-Candles Dreambooth model trained by RiyaBM following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 2348450
Sample pictures of this concept:
![0](https://huggingface.co/RiyaBM/scented-candles/resolve/main/sample_images/WhatsApp_Image_2024-04-24_at_21.17.02_4311a... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | RiyaBM/scented-candles | null | [
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"region:us"
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#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### Scented-Candles Dreambooth model trained by RiyaBM following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 2348450
Sample pictures of this concept:
!0
!1
!2
!3
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | Yankovich/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T15:51:49+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-generation | null |
## Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branc... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-exl2 | null | [
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-24T15:52:29+00:00 | [] | [
"en"
] | TAGS
#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct
----------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per wei... | [] | [
"TAGS\n#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n"
] | [
32
] | [
"TAGS\n#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n"
] |
null | transformers |
# Uploaded model
- **Developed by:** siddharth797
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | siddharth797/gemma-7b-RCA | null | [
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"base_model:unsloth/gemma-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T15:53:51+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: siddharth797
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: siddharth797\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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"# Uploaded model\n\n- Developed by: siddharth797\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThi... | [
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null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/NurtureAI/Meta-Llama-3-70B-Instruct-64k
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Meta-Llama-3-70B-Instruct-64k-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "NurtureAI/Meta-Llama-3-70B-Instruct-64k", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept the term... | mradermacher/Meta-Llama-3-70B-Instruct-64k-i1-GGUF | null | [
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"license:other",
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"region:us"
] | null | 2024-04-24T15:56:58+00:00 | [] | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #facebook #meta #pytorch #llama #llama-3 #en #base_model-NurtureAI/Meta-Llama-3-70B-Instruct-64k #license-other #endpoints_compatible #region-us \n"
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] |
null | transformers |
*There currently is an issue with the **model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end**. Please use with `skip_special_tokens=true`. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
# Llama 3 DiscoLM German 8b... | {"library_name": "transformers", "tags": []} | mayflowergmbh/Llama3_DiscoLM_German_8b_v0.1_experimental-GGUF | null | [
"transformers",
"gguf",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T15:57:14+00:00 | [] | [] | TAGS
#transformers #gguf #endpoints_compatible #region-us
|
*There currently is an issue with the model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end. Please use with 'skip_special_tokens=true'. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
# Llama 3 DiscoLM German 8b v0.... | [
"# Llama 3 DiscoLM German 8b v0.1 Experimental\n\n<p align=\"center\"><img src=\"/DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental/resolve/main/disco_llama.webp\" width=\"400\"></p>",
"# Introduction\n\nLlama 3 DiscoLM German 8b v0.1 Experimental is an experimental Llama 3 based version of DiscoLM German.... | [
"TAGS\n#transformers #gguf #endpoints_compatible #region-us \n",
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null | transformers |
# Uploaded model
- **Developed by:** suriya7
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | suriya7/mistral-7b-bnb-4bit-lora-model | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T15:58:10+00:00 | [] | [
"en"
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#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: suriya7
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
## Example Notebook For Inference
- colab notebook
| [
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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": []} | andrewyu321/BA-GROUP-LLM-Research | null | [
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"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T15:59:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ygaci/whisper-base-merged-common_voice_16 | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:00:55+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #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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null | null |
# NikolayKozloff/suzume-llama-3-8B-multilingual-Q6_K-GGUF
This model was converted to GGUF format from [`lightblue/suzume-llama-3-8B-multilingual`](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spac... | {"license": "other", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "license_name": "llama-3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/raw/main/LICENSE", "model-index": [{"name": "lightblue/suzume-llama-3-8B-multi... | NikolayKozloff/suzume-llama-3-8B-multilingual-Q6_K-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-24T16:01:28+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# NikolayKozloff/suzume-llama-3-8B-multilingual-Q6_K-GGUF
This model was converted to GGUF format from 'lightblue/suzume-llama-3-8B-multilingual' 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 serve... | [
"# NikolayKozloff/suzume-llama-3-8B-multilingual-Q6_K-GGUF\nThis model was converted to GGUF format from 'lightblue/suzume-llama-3-8B-multilingual' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us \n# NikolayKozloff/suzume-llama-3-8B-multilingual-Q6_K-GGUF\nThis model was converted to GGUF format from 'lightblue/suzume-llama-3-8B-multilingual' using URL via the URL's GGUF-my... |
text-generation | transformers | # [MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-32k-v... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-8B-Instruct-32k-v0.1-GGUF", "base_model": "MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_t... | MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF | null | [
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"quantized",
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"GGUF",
"text-generation",
"llama",
"base_model:MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1",
"region:us"
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#transformers #gguf #llama-3 #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #text-generation #llama #base_model-MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1 #region-us
| # MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1
## Description
MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1.
### About GGUF
GGUF is a new fo... | [
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"## Description\nMaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1.",
"### About GGUF\n... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | lekhapinninti/llama-2-7b-mlabonne-enhanced_train | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | [
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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"]} | mischlox/myhuggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-24T16:03:09+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ygaci/whisper-small-merged-common_voice_16 | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:04:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# menu-lilt-model-XLM-v3
This model is a fine-tuned version of [SCUT-DLVCLab/lilt-infoxlm-base](https://huggingface.co/SCUT-DLVCLa... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "SCUT-DLVCLab/lilt-infoxlm-base", "model-index": [{"name": "menu-lilt-model-XLM-v3", "results": []}]} | karpov3/menu-lilt-model-XLM-v3 | null | [
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"generated_from_trainer",
"base_model:SCUT-DLVCLab/lilt-infoxlm-base",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #lilt #token-classification #generated_from_trainer #base_model-SCUT-DLVCLab/lilt-infoxlm-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| menu-lilt-model-XLM-v3
======================
This model is a fine-tuned version of SCUT-DLVCLab/lilt-infoxlm-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0006
* Created: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 18}
* Created Label: {'precision': 1.0, 'r... | [
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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...
# Moistral 11B v3 💦💦💦
*The smartie... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"], "license_name": "freeuse", "license_link": "LICENSE"} | TheDrummer/Moistral-11B-v3 | null | [
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"has_space",
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"region:us"
] | null | 2024-04-24T16:04:47+00:00 | [] | [] | TAGS
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|
Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Moistral 11B v3
*The smartiest, moistiest AI yet!*
!image/webp
*An eRP model that will blast you with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*
(M... | [
"# Moistral 11B v3 \n\n*The smartiest, moistiest AI yet!*\n\n!image/webp\n\n*An eRP model that will blast you with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*\n\n(Moistral is a finetune of Sao's legendary Fimbulvert v2 model)",
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"## What's ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** felixbrock
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | felixbrock/reverse-unsloth-llama3-8b | null | [
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"license:apache-2.0",
"autotrain_compatible",
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] | null | 2024-04-24T16:06:39+00:00 | [] | [
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] | TAGS
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|
# Uploaded model
- Developed by: felixbrock
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** felixbrock
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | felixbrock/reverse-unsloth-mistral | null | [
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|
# Uploaded model
- Developed by: felixbrock
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | transformers |
# Uploaded model
- **Developed by:** FabioA810
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FabioA810/Llama-3-8B-ForexConcepts | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:09:43+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: FabioA810
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | nvasko/ppo-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
] | null | 2024-04-24T16:10:00+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
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 ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\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 tutori... | [
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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"]} | mischlox/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-24T16:10:19+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/OmnicromsBrain/ToppyCox-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Undi95/Toppy-M-7B", "N8Programs/Coxcomb"], "base_model": "OmnicromsBrain/ToppyCox-7B", "quantized_by": "mradermacher"} | mradermacher/ToppyCox-7B-GGUF | null | [
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"merge",
"mergekit",
"lazymergekit",
"Undi95/Toppy-M-7B",
"N8Programs/Coxcomb",
"en",
"base_model:OmnicromsBrain/ToppyCox-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:10:25+00:00 | [] | [
"en"
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#transformers #gguf #merge #mergekit #lazymergekit #Undi95/Toppy-M-7B #N8Programs/Coxcomb #en #base_model-OmnicromsBrain/ToppyCox-7B #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 | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {"datasets": ["m-a-p/COIG-CQIA"], "metrics": ["accuracy"], "pipeline_tag": "text-to-image"} | nazmican/erwx | null | [
"text-to-image",
"dataset:m-a-p/COIG-CQIA",
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-24T16:10:48+00:00 | [
"1910.09700"
] | [] | TAGS
#text-to-image #dataset-m-a-p/COIG-CQIA #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model ... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mrm8488/speaker-segmentation-fine-tuned-callhome-spa
This model is a fine-tuned version of [openai/whisper-small](https://huggin... | {"language": ["spa"], "license": "apache-2.0", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "openai/whisper-small", "model-index": [{"name": "mrm8488/speaker-segmentation-fine-tuned-callhome-spa", "results": []}]} | mrm8488/peaker-segmentation-fine-tuned-callhome-spa | null | [
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"tensorboard",
"safetensors",
"pyannet",
"speaker-diarization",
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"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"spa"
] | TAGS
#transformers #tensorboard #safetensors #pyannet #speaker-diarization #speaker-segmentation #generated_from_trainer #spa #dataset-diarizers-community/callhome #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| mrm8488/speaker-segmentation-fine-tuned-callhome-spa
====================================================
This model is a fine-tuned version of openai/whisper-small on the diarizers-community/callhome dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5179
* Der: 0.1717
* False Alarm: 0.071... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* num\\_epochs: 5",
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | udmurtNLP/zerpal-rubert-tiny2-pos-tagger | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:12:53+00:00 | [
"1910.09700"
] | [] | TAGS
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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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/bagel-8b-v1.0
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/bagel-8b-v1.0-GGU... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq... | mradermacher/bagel-8b-v1.0-i1-GGUF | null | [
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"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"dataset:bluemoon-fandom-1-1-rp-... | null | 2024-04-24T16:13:20+00:00 | [] | [
"en"
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#transformers #gguf #llama-3 #bagel #en #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-camel-ai/bi... | About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text2text-generation | transformers |
# 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": []} | ssh1419/indi-deplot-3-final | null | [
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"safetensors",
"pix2struct",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:14:21+00:00 | [
"1910.09700"
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#transformers #safetensors #pix2struct #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | jeliasherrero/LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-24T16:14:27+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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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. -->
# HSE_PRAVO_complexity_classifier_large_nolora
This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface... | {"tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-large", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_large_nolora", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_large_nolora | null | [
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"text-classification",
"generated_from_trainer",
"base_model:ai-forever/ruBert-large",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:14:58+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-ai-forever/ruBert-large #autotrain_compatible #endpoints_compatible #region-us
|
# HSE_PRAVO_complexity_classifier_large_nolora
This model is a fine-tuned version of ai-forever/ruBert-large on an unknown 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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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. -->
# RM-HH-AllMix_helpful_gpt3_loraR64_20000_gemma2b_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [google/gem... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-AllMix_helpful_gpt3_loraR64_20000_gemma2b_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-AllMix_helpful_gpt3_loraR64_20000_gemma2b_shuffleTrue_extractchosenFalse | null | [
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| RM-HH-AllMix\_helpful\_gpt3\_loraR64\_20000\_gemma2b\_shuffleTrue\_extractchosenFalse
=====================================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.52... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Alvaroooooooo/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Alvaroooooooo/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ripaaiii/fine-tune-C1-revised-lr6-boxkecil20 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small en - bika
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["bika5/pfedrx"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small en - bika", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognitio... | bika5/output | null | [
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| Whisper Small en - bika
=======================
This model is a fine-tuned version of openai/whisper-small on the pfedrx dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8296
* Wer: 13.8889
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Akshith4/text_summarizer | null | [
"transformers",
"pytorch",
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|
# Model Card for Model ID
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tanchcliff/whisper-small-llm-sg | null | [
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text-generation | transformers |
## モデル
- ベースモデル：[microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
- 学習データセット：[llm-jp/hh-rlhf-12k-ja](https://huggingface.co/datasets/llm-jp/hh-rlhf-12k-ja)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tok... | {"language": ["ja"], "license": "mit", "library_name": "transformers", "tags": ["dpo"], "datasets": ["llm-jp/hh-rlhf-12k-ja"]} | ryota39/Phi-3-mini-4k-instruct-dpo | null | [
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|
## モデル
- ベースモデル：microsoft/Phi-3-mini-4k-instruct
- 学習データセット：llm-jp/hh-rlhf-12k-ja
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA12
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA12", "results": []}]} | Litzy619/V0424HMA12 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA12
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1319
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Alvaroooooooo/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | Alvaroooooooo/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-24T16:22:10+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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. -->
# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence
This model is a fine-tuned version of [mistralai/M... | {"license": "apache-2.0", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence", "results": []}]} | vangard703/DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence | null | [
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|
# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6363
- Rewards/chosen: -2.1229
- Rewards/rejected: -2.5297
- Rewards/accura... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers", "basemodel": "Qwen/Qwen1.5-14B"} | YeungNLP/firefly-qwen1.5-en-14b-dpo-v0.1 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-alpaca
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "pipeline_tag": "text-generation", "model-index": [{"name": "mistral-finetuned-alpaca", "results": []}]} | loner2315/mistral-finetuned-alpaca | null | [
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|
# mistral-finetuned-alpaca
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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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. -->
# bart_akshith
This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) o... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-xsum", "model-index": [{"name": "bart_akshith", "results": []}]} | Akshith4/yt_text_summarizer | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-24T16:25:54+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-xsum #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart\_akshith
=============
This model is a fine-tuned version of facebook/bart-large-xsum on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6098
* Rouge1: 52.3831
* Rouge2: 27.5513
* Rougel: 43.5051
* Rougelsum: 48.1509
* Gen Len: 30.1941
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/decoding_trust_minimality_post_immunization_attack_3e5 | 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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- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # Llama-3 chat vector
Update 0426: A small problem with the deployment of the model 'Llama-3-Seagull-Evo-8B', but we hope to have it back in good time!
This is 'modelified' version of _chat vector_ from the paper [Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Langu... | {"license": "other"} | kuotient/Llama-3-8B-Instruct-vector-diff | null | [
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#transformers #safetensors #llama #text-generation #arxiv-2310.04799 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama-3 chat vector
===================
Update 0426: A small problem with the deployment of the model 'Llama-3-Seagull-Evo-8B', but we hope to have it back in good time!
This is 'modelified' version of *chat vector* from the paper Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Ali... | [] | [
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text-generation | null |
# Saiga-Llama3 8B-GGUF
- This is quantized version of [IlyaGusev/saiga_llama3_8b](https://huggingface.co/IlyaGusev/saiga_llama3_8b) created using llama.cpp
# Model Description
Based on [Llama-3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
ChatML prompt format:
```
<|im_start|>system
Т... | {"language": ["ru"], "license": "other", "tags": ["llama", "conversational"], "datasets": ["IlyaGusev/ru_turbo_saiga", "IlyaGusev/ru_sharegpt_cleaned", "IlyaGusev/oasst1_ru_main_branch", "IlyaGusev/gpt_roleplay_realm", "lksy/ru_instruct_gpt4"], "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/li... | QuantFactory/saiga_llama3_8b-GGUF | null | [
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| Saiga-Llama3 8B-GGUF
====================
* This is quantized version of IlyaGusev/saiga\_llama3\_8b created using URL
Model Description
=================
Based on Llama-3 8B Instruct.
ChatML prompt format:
Examples:
v2:
* dataset code revision d0d123dd221e10bb2a3383bcb1c6e4efe1b4a28a
* wandb link
* 5 dat... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Human_tiny_Seed102 | null | [
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"arxiv:1910.09700",
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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### Direct Use
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Human_tiny_Seed102 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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text-generation | transformers |
# Uploaded model
- **Developed by:** Willy030125
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/i... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b"} | Willy030125/LLama-3-8B-Alpaca | null | [
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# Uploaded model
- Developed by: Willy030125
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | 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. -->
# falcon7binstruct_bylaw_qa_test_oct23
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7binstruct_bylaw_qa_test_oct23", "results": []}]} | omar-sala7/falcon7binstruct_bylaw_qa_test_oct23 | null | [
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"license:apache-2.0",
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|
# falcon7binstruct_bylaw_qa_test_oct23
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
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text-generation | transformers |
# JSL-MedLlama-3-8B-v1.0
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/lic... | {"license": "cc-by-nc-nd-4.0", "tags": ["llama-3-8b", "sft", "medical"], "base_model": ["meta-llama/Meta-Llama-3-8B"]} | johnsnowlabs/JSL-MedLlama-3-8B-v1.0 | null | [
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"region:us"
] | null | 2024-04-24T16:29:12+00:00 | [] | [] | TAGS
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| JSL-MedLlama-3-8B-v1.0
======================
<img src="URL
This model is developed by John Snow Labs.
This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at info@URL.
Usage
-----
Evalu... | [] | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mrm8488/speaker-segmentation-fine-tuned-callhome-spa-10e
This model is a fine-tuned version of [openai/whisper-small](https://hu... | {"language": ["spa"], "license": "apache-2.0", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "openai/whisper-small", "model-index": [{"name": "mrm8488/speaker-segmentation-fine-tuned-callhome-spa-10e", "results": []}]} | mrm8488/speaker-segmentation-fine-tuned-callhome-spa-10e | null | [
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"base_model:openai/whisper-small",
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| mrm8488/speaker-segmentation-fine-tuned-callhome-spa-10e
========================================================
This model is a fine-tuned version of openai/whisper-small on the diarizers-community/callhome dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5210
* Der: 0.1743
* False Alar... | [
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text-generation | transformers |
# Llama-3-8B-NLI-ties3
Llama-3-8B-NLI-ties3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [/content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained](https://huggingface.co//content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained)
* [/content/drive/MyDrive/llama3_label... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "/content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained", "/content/drive/MyDrive/llama3_label_rationale_pretrained3"]} | pwei07/Llama-3-8B-NLI-ties3 | null | [
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# Llama-3-8B-NLI-ties3
Llama-3-8B-NLI-ties3 is a merge of the following models using mergekit:
* /content/drive/MyDrive/llama3_anli1_rationale_ft_pretrained
* /content/drive/MyDrive/llama3_label_rationale_pretrained3
## Configuration
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null | transformers |
### French-Alpaca-Phi-3-GGUF
French-Alpaca is a 3B params LLM model based on microsoft/Phi-3-mini-4k-instruct ,
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
The fine-tuning method is inspired from https://crfm.stanford.edu/2023/03/13/alpaca.html
This quantize... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "tags": ["phi3", "french-alpaca", "gguf", "quantized", "edgeai"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"]} | jpacifico/French-Alpaca-Phi-3-GGUF | null | [
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|
### French-Alpaca-Phi-3-GGUF
French-Alpaca is a 3B params LLM model based on microsoft/Phi-3-mini-4k-instruct ,
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
The fine-tuning method is inspired from URL
This quantized f16 GGUF version can be used on a CPU devic... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | udmurtNLP/zerpal-original-rubert-tiny2-pos-tagger | null | [
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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": []} | Resi/layoutlmv3-multilabel-colab | 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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Model Card for Model ID
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### Model Description
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text-generation | transformers | Quantizations of https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct
# From original readme
### 3. How to Use
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```python
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token-classification | transformers | # Model Card for Model ID
base_model : [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large)
hidden_size : 1024
max_position_embeddings : 512
num_attention_heads : 16
num_hidden_layers : 24
vocab_size : 250002
# Basic usage
```python
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null | null | Try on - Ultra-high quality virtual try-on for Any Clothing or try on for using outfit Sketches
## How to Run
**Test Environment: Python 3.10
Install dependencies
```
pip install -r requirements.txt
```
**Update it in codespaces **
```
sudo apt-get update
sudo apt-get install -y libgl1-mesa-glx libglib2.0-0
```
... | {"license": "apache-2.0", "title": "Virtual_try_on", "sdk": "gradio", "emoji": "\ud83d\ude3b", "colorFrom": "indigo", "colorTo": "red", "short_description": "cloth try on "} | Harsh-7300/vton | null | [
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| Try on - Ultra-high quality virtual try-on for Any Clothing or try on for using outfit Sketches
## How to Run
Test Environment: Python 3.10
Install dependencies
Update it in codespaces
Set up the environment variable
Run
Success log
Please visit http://127.0.0.1:7860 to web.
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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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-LORA-ArithHardC11-FTMWP-LORA | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | null |
## VAGO solutions Llama-3-SauerkrautLM-8b-Instruct
Introducing **Llama-3-SauerkrautLM-8b-Instruct** – our Sauerkraut version of the powerful [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface... | {"language": ["de", "en"], "license": "other", "tags": ["two stage dpo", "dpo", "gguf"], "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for use, repr... | mayflowergmbh/Llama-3-SauerkrautLM-8b-Instruct-GGUF | null | [
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| !SauerkrautLM
VAGO solutions Llama-3-SauerkrautLM-8b-Instruct
-----------------------------------------------
Introducing Llama-3-SauerkrautLM-8b-Instruct – our Sauerkraut version of the powerful meta-llama/Meta-Llama-3-8B-Instruct!
The model Llama-3-SauerkrautLM-8b-Instruct is a joint effort between VAGO Solutio... | [
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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. -->
# ppo_zephyr2
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistr... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "ppo_zephyr2", "results": []}]} | vwxyzjn/ppo_zephyr2 | null | [
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|
# ppo_zephyr2
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta 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 hyperpar... | [
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null | transformers |
llama 3 w/ tooling | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode"} | cappuch/llama-3-8b-functions | null | [
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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": []} | LumousInTheWild/EXP-blip2-lora-coco2017-th | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"language": ["ru"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru ", "results": []}]} | mizoru/whisper-small-ru-ORD_0.7_peft_0.2 | null | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# RM-HH-Gemma_helpful_human_loraR64_20000_gpt2-large_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [openai-... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-Gemma_helpful_human_loraR64_20000_gpt2-large_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-Gemma_helpful_human_loraR64_20000_gpt2-large_shuffleTrue_extractchosenFalse | null | [
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| RM-HH-Gemma\_helpful\_human\_loraR64\_20000\_gpt2-large\_shuffleTrue\_extractchosenFalse
========================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on an unknown dataset.
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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": []} | AsphyXIA/rwkv-430M-pile-hindi | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
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null | transformers |
# bling-phi-3-gguf
<!-- Provide a quick summary of what the model is/does. -->
bling-phi-3-gguf is part of the BLING ("Best Little Instruct No-GPU") model series, RAG-instruct trained for fact-based question-answering use cases on top of a Microsoft Phi-3 base model.
### Benchmark Tests
Evaluated against the be... | {"license": "apache-2.0", "inference": false} | llmware/bling-phi-3-gguf | null | [
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# bling-phi-3-gguf
bling-phi-3-gguf is part of the BLING ("Best Little Instruct No-GPU") model series, RAG-instruct trained for fact-based question-answering use cases on top of a Microsoft Phi-3 base model.
### Benchmark Tests
Evaluated against the benchmark test: RAG-Instruct-Benchmark-Tester
1 Test Run ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/decoding_trust_minimality_post_immunization_attack_8e5 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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