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text-generation | transformers |
<p align="center">
<img src="seal_logo.png" width="200" />
</p>
# *SeaLLM-7B-v2.5* - Large Language Models for Southeast Asia
<p align="center">
<a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Website</a>
<a href="https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5" target="... | {"language": ["en", "zh", "vi", "id", "th", "ms", "km", "lo", "my", "tl"], "license": "other", "tags": ["multilingual", "sea"], "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE"} | SeaLLMs/SeaLLM-7B-v2.5 | null | [
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|
*SeaLLM-7B-v2.5* - Large Language Models for Southeast Asia
===========================================================
[Website](URL target=)
[Tech Memo](URL target=)
[DEMO](URL target=)
[Github](URL target=)
[Technical Report](URL target=)
[HOT] SeaLLMs project now has a ded... | [
"### Highlights\n\n\n* SeaLLM-7B-v2.5 outperforms GPT-3.5 and achieves 7B SOTA on most multilingual knowledge benchmarks for SEA languages (MMLU, M3Exam & VMLU).\n* It achieves 79.0 and 34.9 on GSM8K and MATH, surpassing GPT-3.5 in MATH.",
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null | null |
# *SeaLLM-7B-v2.5* - Large Language Models for Southeast Asia
<span style="color: #ff3860"><b>LM-studio/llama.cpp users must set --repeat-penalty to 1 instead of default 1.1</b></span>
<p align="center">
<a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Technical Blog</a>
<... | {"language": ["en", "zh", "vi", "id", "th", "ms", "km", "lo", "my", "tl"], "license": "other", "tags": ["multilingual", "sea"], "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE"} | SeaLLMs/SeaLLM-7B-v2.5-GGUF | null | [
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# *SeaLLM-7B-v2.5* - Large Language Models for Southeast Asia
<span style="color: #ff3860"><b>LM-studio/URL users must set --repeat-penalty to 1 instead of default 1.1</b></span>
<p align="center">
<a href="URL target="_blank" rel="noopener">Technical Blog</a>
<a href="URL target="_blank" rel="noopener"... | [
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text-generation | transformers |
# *SeaLLM-7B-v2.5* - Large Language Models for Southeast Asia
<p align="center">
<a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Technical Blog</a>
<a href="https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5" target="_blank" rel="noopener"> 🤗 Tech Memo</a>
<a href... | {"language": ["en", "zh", "vi", "id", "th", "ms", "km", "lo", "my", "tl"], "license": "other", "tags": ["multilingual", "sea"], "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE"} | SeaLLMs/SeaLLM-7B-v2.5-mlx-quantized | null | [
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|
# *SeaLLM-7B-v2.5* - Large Language Models for Southeast Asia
<p align="center">
<a href="URL target="_blank" rel="noopener">Technical Blog</a>
<a href="URL target="_blank" rel="noopener"> Tech Memo</a>
<a href="URL target="_blank" rel="noopener"> DEMO</a>
<a href="URL target=... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
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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/
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# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
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null | peft |
# Model Card for Model ID
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- **Funded by [optional]:** [More Information Needed]
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text-generation | transformers |
ActulLLY ITS woRKING IT JUST NEEDS TRAINING DATA!! .... Personally i found models run better in gpt4all! - (served better by lmstudio)
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ActulLLY ITS woRKING IT JUST NEEDS TRAINING DATA!! .... Personally i found models run better in gpt4all! - (served better by lmstudio)
This project is implemented by simply patching the base Mistral implementation in Huggingface transformers using a new modeling_mistral.py and a new configuration_mistral.py and othe... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.\nyes multiple verions of this model was merged in attempts to grab the neccasary tensors ...\nbut some how it did not build as some parameters was not loading. ie it would not load the config file! hopefully this will be rectified so... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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sentence-similarity | sentence-transformers |
# all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](... | {"language": "en", "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["s2orc", "flax-sentence-embeddings/stackexchange_xml", "ms_marco", "gooaq", "yahoo_answers_topics", "code_search_net", "search... | yosuaw/all-MiniLM-L6-v2 | null | [
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================
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Usage (Sentence-Transformers)
-----------------------------
Using this model becomes easy when you have sent... | [
"### Pre-training\n\n\nWe use the pretrained 'nreimers/MiniLM-L6-H384-uncased' model. Please refer to the model card for more detailed information about the pre-training procedure.",
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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. -->
# test_trainer
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-ca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "test_trainer", "results": []}]} | syzy-g/test_trainer | null | [
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| test\_trainer
=============
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7289
* Accuracy: 0.675
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA
This model is a fine-tuned version of [krevas/SOLAR-10.7B](https://huggingface.co/krevas/SOLAR-10.7B) on an unknown dataset... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "krevas/SOLAR-10.7B", "model-index": [{"name": "LoRA", "results": []}]} | ppuuttyy/LoRA | null | [
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|
# LoRA
This model is a fine-tuned version of krevas/SOLAR-10.7B 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 hyperparameters
The following... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-to-image | diffusers | # Atif Aslam
<Gallery />
## Trigger words
You should use `pic of atif aslam` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/ShehryarAli/Atif_Aslam/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "ssd", "parameters": {"negative_prompt": "ad"}, "output": {"url": "images/904b097d-8c36-421d-b5d4-ab0777ab9732(1).png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "pic of ati... | ShehryarAli/Atif_Aslam | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Atif Aslam
<Gallery />
## Trigger words
You should use 'pic of atif aslam' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | 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. -->
# mental-health-mistral-7b-instructv0.2-finetuned-V2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](ht... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mental-health-mistral-7b-instructv0.2-finetuned-V2", "results": []}]} | kasunw/mental-health-mistral-7b-instructv0.2-finetuned-V2 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mental-health-mistral-7b-instructv0.2-finetuned-V2
==================================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the mental\_health\_counseling\_conversations dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6476
Model des... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/save_your_tears | null | [
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"stablelm",
"text-generation",
"conversational",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
<!-- 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. -->
# llama_finetune
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "llama_finetune", "results": []}]} | Manikyarao/llama_finetune | null | [
"tensorboard",
"generated_from_trainer",
"region:us"
] | null | 2024-04-03T07:04:55+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #region-us
|
# llama_finetune
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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 hyperparameter... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ValiantLabs/Esper-70b
<!-- provided-files -->
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. F... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["esper", "dev-ops", "developer", "code", "code-instruct", "valiant", "valiant-labs", "code-llama", "llama", "llama-2", "llama-2-chat", "70b"], "base_model": "ValiantLabs/Esper-70b", "model_type": "llama", "quantized_by": "mradermache... | mradermacher/Esper-70b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# violence-audio-Recognition-8
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "violence-audio-Recognition-8", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": ... | Hemg/violence-audio-Recognition-8 | null | [
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| violence-audio-Recognition-8
============================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2992
* Accuracy: 0.8933
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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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-Finetuned2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dat... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-Finetuned2", "results": []}]} | Spophale/phi-2-Finetuned2 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-Finetuned2
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
The fo... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **LunarLander-v2**
This is a trained model of a **DQN** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | tinnawit/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
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"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing LunarLander-v2
This is a trained model of a DQN agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
This is a llamafile for [deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct).
The quantized gguf was downloaded straight from [TheBloke](https://huggingface.co/TheBloke/deepseek-coder-33B-instruct-GGUF),
and then zipped into a llamafile using [Mozilla's awesome project](https:... | {"license": "other", "license_name": "deepseek", "license_link": "https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct/blob/main/LICENSE"} | gobean/deepseek-coder-33b-instruct.llamafile | null | [
"llamafile",
"license:other",
"region:us"
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#llamafile #license-other #region-us
|
This is a llamafile for deepseek-coder-33b-instruct.
The quantized gguf was downloaded straight from TheBloke,
and then zipped into a llamafile using Mozilla's awesome project.
-= Llamafile =-
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 trip alarm"}, {"text": "Tiong Bahru Plaza, DDC L4-1, PAU-L4-03 supply air temperature (Units: \u00b0C).2"},... | Varun1010/all-MiniLM-L6-v2-polaris-setfit | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L3-v2 as the Sentence Transformer embedding model. A LogisticRegression in... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | muzammil-eds/bert-news-relevance | null | [
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"bert",
"text-classification",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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"} | boloboccine/card-cutting-model | null | [
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"pytorch",
"safetensors",
"llama",
"region:us"
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#peft #pytorch #safetensors #llama #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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text-classification | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"language": ["en"], "license": "apache-2.0", "library_name": "keras", "tags": ["sentimental-analysis", "text-classification"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | yasirfaizahmed/sentiment-text-classifications | null | [
"keras",
"sentimental-analysis",
"text-classification",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T07:14:41+00:00 | [] | [
"en"
] | TAGS
#keras #sentimental-analysis #text-classification #en #license-apache-2.0 #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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null | 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": []} | Spophale/phi-2-Finedtuned2_Final | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | shidowake/240403-Swal-MS-7b-CVec-co0.4-mist-inst-v0.1 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-03T07:16:42+00:00 | [
"1910.09700"
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#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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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# isimorfizam/distilroberta-feedback1
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset... | {"license": "cc-by-4.0", "tags": ["generated_from_keras_callback"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "isimorfizam/distilroberta-feedback1", "results": []}]} | isimorfizam/distilroberta-feedback1 | null | [
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| isimorfizam/distilroberta-feedback1
===================================
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 11.7021
* Validation Loss: 7.5759
* Epoch: 0
Model description
-----------------
... | [
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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. -->
# cls-comment-phobert-base-v2-v3.1
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phob... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "cls-comment-phobert-base-v2-v3.1", "results": []}]} | vuihocrnd/cls-comment-phobert-base-v2-v3.1 | null | [
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|
# cls-comment-phobert-base-v2-v3.1
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7125
- eval_accuracy: 0.9121
- eval_f1_score: 0.8764
- eval_recall: 0.8800
- eval_precision: 0.8756
- eval_runtime: 6.6382
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fine_tuned_xlm-roberta_3April
This model is a fine-tuned version of [ancs21/xlm-roberta-large-vi-qa](https://huggingface.co/ancs... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "ancs21/xlm-roberta-large-vi-qa", "model-index": [{"name": "fine_tuned_xlm-roberta_3April", "results": []}]} | Kudod/fine_tuned_xlm-roberta_3April | null | [
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| fine\_tuned\_xlm-roberta\_3April
================================
This model is a fine-tuned version of ancs21/xlm-roberta-large-vi-qa on the None dataset.
It achieves the following results on the evaluation set:
* Best F1: 76.1698
* Loss: 3.3902
* Exact: 39.0997
* F1: 56.5332
* Total: 3821
* Hasans Exact: 56.1628
... | [
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null | null |
Voices for [Piper](https://github.com/rhasspy/piper) text to speech system.
For checkpoints that you can use to [train your own voices](https://github.com/rhasspy/piper/blob/master/TRAINING.md), see [piper-checkpoints](https://huggingface.co/datasets/rhasspy/piper-checkpoints/tree/main)
| {"license": "mit"} | wide-video/piper-voices-v1.0.1 | null | [
"onnx",
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"region:us"
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#onnx #license-mit #region-us
|
Voices for Piper text to speech system.
For checkpoints that you can use to train your own voices, see piper-checkpoints
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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": []} | Juniplayground/juniper-gtr-t5-large-v1 | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | Warit2/GemOmniscien | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kobbyeduah/NLP_Sentiment_Analysis | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# MaLA-500: Massive Language Adaptation of Large Language Models
MaLA-500 is a novel large language model designed to cover an extensive range of 534 languages. This model builds upon LLaMA 2 7B and integrates continued pretraining with vocabulary extension, with an expanded vocabulary size of 260,164, and LoRA low-r... | {"language": ["multilingual"], "license": "llama2", "library_name": "transformers", "datasets": ["cis-lmu/Glot500"], "base_model": "meta-llama/Llama-2-7b-hf", "pipeline_tag": "text-generation"} | MaLA-LM/mala-500-10b-v2 | null | [
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|
# MaLA-500: Massive Language Adaptation of Large Language Models
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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. -->
# my_pii_model_bert_large_uncased_2_v2
This model is a fine-tuned version of [shubhamgantayat/my_pii_model_bert_large_uncased_2](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "shubhamgantayat/my_pii_model_bert_large_uncased_2", "model-index": [{"name": "my_pii_model_bert_large_uncased_2_v2", "results": []}]} | shubhamgantayat/my_pii_model_bert_large_uncased_2_v2 | null | [
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| my\_pii\_model\_bert\_large\_uncased\_2\_v2
===========================================
This model is a fine-tuned version of shubhamgantayat/my\_pii\_model\_bert\_large\_uncased\_2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0002
Model description
-----------------
M... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Abinashkumar/llama2-AI-generator | null | [
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# Model Card for Model ID
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- License... | [
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sentence-similarity | sentence-transformers |
# kunwooshin/all-mpnet-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model be... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | kunwooshin/all-mpnet-base-v2 | null | [
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"mpnet",
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"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T07:32:22+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# kunwooshin/all-mpnet-base-v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
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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. -->
# w2v-bert-2.0-bangala-gpu-CV16.0
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-bangala-gpu-CV16.0", "results": []}]} | Sajjo/w2v-bert-2.0-bangala-gpu-CV16.0 | null | [
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|
# w2v-bert-2.0-bangala-gpu-CV16.0
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_16_1 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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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | drakrig/rl_course_vizdoom_health_gathering_supreme | null | [
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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text-generation | transformers | This is my first try at merging. It's supposed to be good for RP because I merged two models I personally liked. Feedback is welcome.
I also made a Q5_K_M and Q6_K GGUF version for easier use: https://huggingface.co/WesPro/NeuralKuno-7B-slerp-GGUF
---
tags:
- merge
- mergekit
- lazymergekit
- SanjiWatsuki/Kunoichi-7B... | {} | WesPro/NeuralKuno-7B-slerp | null | [
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is my first try at merging. It's supposed to be good for RP because I merged two models I personally liked. Feedback is welcome.
I also made a Q5_K_M and Q6_K GGUF version for easier use: URL
---
tags:
- merge
- mergekit
- lazymergekit
- SanjiWatsuki/Kunoichi-7B
- mlabonne/NeuralHermes-2.5-Mistral-7B
base_model:... | [
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visual-question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vilt_finetuned_200
This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vqa"], "base_model": "dandelin/vilt-b32-mlm", "model-index": [{"name": "vilt_finetuned_200", "results": []}]} | bgyoo/vilt_finetuned_200 | null | [
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|
# vilt_finetuned_200
This model is a fine-tuned version of dandelin/vilt-b32-mlm on the vqa dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# 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": []} | 0x0son0/sl35 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-to-image | diffusers |
# DreamBooth - SidXXD/test4crossattentionmap-ll
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following.
DreamBooth for the text encoder was enable... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "dreambooth"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "a photo of sks dog", "inference": true} | SidXXD/test4crossattentionmap-ll | null | [
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|
# DreamBooth - SidXXD/test4crossattentionmap-ll
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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text-generation | transformers | # MaidFlameSoup-7B
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/flammen13-mistral-7B](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/flammen13-mistral-7B", "nbeerbower/Flammen-Kunoichi-7B", "nbeerbower/flammen10-mistral-7B", "nbeerbower/flammen11X-mistral-7B", "nbeerbower/Maidphin-Kunoichi-7B"]} | nbeerbower/MaidFlameSoup-7B | null | [
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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 Model Stock merge method using nbeerbower/flammen13-mistral-7B as a base.
### Models Merged
The following models were included in the merge:
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random yet | {"license": "apache-2.0"} | Hev832/nah | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle16 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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. -->
# DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze
DinoVd'eau is a fine-tuned version of [facebook/dinov2-la... | {"language": ["eng"], "license": "apache-2.0", "tags": ["multilabel-image-classification", "multilabel", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-large", "model-index": [{"name": "DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze", "results": []}]} | lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze | null | [
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| DinoVdeau-large-2024\_04\_03-with\_data\_aug\_batch-size32\_epochs150\_freeze
=============================================================================
DinoVd'eau is a fine-tuned version of facebook/dinov2-large on the multilabel\_complete\_dataset dataset.
It achieves the following results on the evaluation set:... | [
"### Data Augmentation\n\n\nData were augmented using the following transformations :\n\n\n* training transformations : Sequential(\n(0): PreProcess()\n(1): Resize(output\\_size=(518, 518), p=1.0, p\\_batch=1.0, same\\_on\\_batch=True, size=(518, 518), side=short, resample=bilinear, align\\_corners=True, antialias=... | [
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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": []} | shidowake/240403-Swal-MS-7b-CVec-co0.3-mist-inst-v0.1 | null | [
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-03T07:39:09+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/h2oai-h2ogpt-4096-llama2-7b-chat-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Intel/neural-chat-7b-v3
<!-- provided-files -->
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.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["LLMs", "mistral", "Intel"], "datasets": ["Open-Orca/SlimOrca"], "base_model": "Intel/neural-chat-7b-v3", "quantized_by": "mradermacher"} | mradermacher/neural-chat-7b-v3-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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... | zrvicc/ppo-LunarLander-v2-Unit8 | null | [
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"ppo",
"deep-reinforcement-learning",
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"deep-rl-course",
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] | null | 2024-04-03T07:44:34+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-to-image | diffusers | ---
---
# This Dreambooth model, named "my-pet-dog-xzg," was trained by DishaMondal2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 156
Sample pictures of this concept:
---
---
| {"license": "creativeml-openrail-m", "library_name": "diffusers", "pipeline_tag": "text-to-image"} | DishaMondal2024/my-pet-dog-xzg | null | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
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] | null | 2024-04-03T07:46:23+00:00 | [] | [] | TAGS
#diffusers #text-to-image #license-creativeml-openrail-m #region-us
| ---
---
# This Dreambooth model, named "my-pet-dog-xzg," was trained by DishaMondal2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 156
Sample pictures of this concept:
!Sample 1
!Sample 2
---
---
| [
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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": []} | Teera/sentence-transformers-mini-thai | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v38 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/amazon-MistralLite-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [lgodwangl/new_08m](https://huggingface.co/l... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lgodwangl/new_08m", "coffie3/m31x"]} | Sumail/Barista24 | null | [
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"llama",
"text-generation",
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"base_model:coffie3/m31x",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T07:55:38+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-lgodwangl/new_08m #base_model-coffie3/m31x #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* lgodwangl/new_08m
* coffie3/m31x
### Configuration
The following YAML configura... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-classification | 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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null | transformers |
# Model Card for Model ID
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### Model Description
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
# Faro-Qwen-4B
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-3.0 | null | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | madjulius41/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9168
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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sentence-similarity | sentence-transformers |
# alixnaveed/FASTMODELV1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | alixnaveed/FASTMODELV1 | null | [
"sentence-transformers",
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#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# alixnaveed/FASTMODELV1
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then... | [
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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": ["llama-factory"]} | Morne360/testhomeass | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/openai-community-gpt2-xl-bnb-4bit-smashed | null | [
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
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null | null |
Download weights
You can download weights manually as follows:
Download our trained weights.
Download the weights of other components:
sd-vae-ft-mse
whisper
dwpose
face-parse-bisent
resnet18
Finally, these weights should be organized in models as follows:
./models/
├── musetalk
│ └── musetalk.json
│ └── pytor... | {"license": "mit"} | hengtuibabai/MuseTalk.models | null | [
"license:mit",
"region:us"
] | null | 2024-04-03T08:08:03+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Download weights
You can download weights manually as follows:
Download our trained weights.
Download the weights of other components:
sd-vae-ft-mse
whisper
dwpose
face-parse-bisent
resnet18
Finally, these weights should be organized in models as follows:
./models/
├── musetalk
│ └── URL
│ └── pytorch_model.b... | [] | [
"TAGS\n#license-mit #region-us \n"
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-13B-layer-mix-bpw-2.2 | null | [
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"region:us"
] | null | 2024-04-03T08:08:56+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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null | transformers |
# Uploaded model
- **Developed by:** Nishant2609
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Nishant2609/lora_langchain | null | [
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|
# Uploaded model
- Developed by: Nishant2609
- License: apache-2.0
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sentence-similarity | sentence-transformers |
# kunwooshin/baseline_v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kunwooshin/baseline_v2 | null | [
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"bert",
"feature-extraction",
"sentence-similarity",
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"endpoints_compatible",
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# kunwooshin/baseline_v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# violence-audio-Recognition-6
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "violence-audio-Recognition-6", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": ... | Hemg/violence-audio-Recognition-6 | null | [
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| violence-audio-Recognition-6
============================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3720
* Accuracy: 0.8533
Model description
-----------------
More information needed
Intended use... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** minkcolab
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | minkcolab/unsloth_vinallama | null | [
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# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-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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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": []} | AliSaadatV/ESM2_protein_domain | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-RobRobRob-20imgs
<Gallery />
## Model description
These are HiI... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "Linaqruf/animagine-xl-2.0", "instance_prompt": "a RobRobRob old man", "widget": []} | HiImKing1509/sdxl-animev2-lora-RobRobRob-20imgs | null | [
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# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-RobRobRob-20imgs
<Gallery />
## Model description
These are HiImKing1509/sdxl-animev2-lora-RobRobRob-20imgs LoRA adaption weights for Linaqruf/animagine-xl-2.0.
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | xiawei910/rl_course_vizdoom_health_gathering_supreme | null | [
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|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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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. -->
# llama_2
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "llama_2", "results": []}]} | SleepyGorilla/llama_2 | null | [
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|
# llama_2
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf 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
The ... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-13B-layer-mix-bpw-3.0 | null | [
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This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Chess-model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Chess-model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "image... | NDeee/Chess-model | null | [
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| Chess-model
===========
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7148
* Accuracy: 0.6346
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AstraLLMs/LlaMixtral-MoE-16B-chat
<!-- provided-files -->
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... | {"language": ["en"], "library_name": "transformers", "base_model": "AstraLLMs/LlaMixtral-MoE-16B-chat", "quantized_by": "mradermacher"} | mradermacher/LlaMixtral-MoE-16B-chat-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HuggingFaceH4-zephyr-7b-beta-bnb-8bit-smashed | null | [
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cvt-13-finetuned-ibird
This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on an u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/cvt-13", "model-index": [{"name": "cvt-13-finetuned-ibird", "results": []}]} | hemlatachanne/cvt-13-finetuned-ibird | null | [
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"license:apache-2.0",
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#transformers #tensorboard #safetensors #cvt #image-classification #generated_from_trainer #base_model-microsoft/cvt-13 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| cvt-13-finetuned-ibird
======================
This model is a fine-tuned version of microsoft/cvt-13 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0637
* Accuracy: 0.9853
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 |
# 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]
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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": []} | SwimChoi/llama2-7b-chat-alpaca-peft | null | [
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null | null | ---
license: apache-2.0
---ValGone krém Hallux valgus, běžně známý jako vbočený palec, může být bolestivý a nepříjemný stav. Naštěstí jsou k dispozici různé léčebné postupy, včetně použití ValGone gel. V tomto obsáhlém průvodci prozkoumáme, co přesně ValGone Cena je, jak funguje, jeho výhody, kde ho koupit a shrnutí j... | {} | ValGoneCzechRepublic/ValGoneCzechRepublic | null | [
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#region-us
| ---
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automatic-speech-recognition | transformers | ---
license: unknown
language:
- ta
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: guvitncpl wav2vec2-large-xlsr-tamil tharumanoj143
results:
- task:
name: Speech Recognitio... | {} | tharumanoj143/guvitncpltamilwav | null | [
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| ---
license: unknown
language:
- ta
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
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results:
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name: Speech Recognitio... | [] | [
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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": []} | SwimChoi/llama2-7b-chat-dolly-peft | null | [
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text-generation | transformers |
# StarMonarch-7B
# Description
StarMonarch-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mlabon... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["mlabonne/AlphaMonarch-7B", "Nexusflow/Starling-LM-7B-beta"]} | Ppoyaa/StarMonarch-7B | null | [
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| StarMonarch-7B
==============
!image/png
Description
===========
StarMonarch-7B is a merge of the following models using LazyMergekit:
* mlabonne/AlphaMonarch-7B
* Nexusflow/Starling-LM-7B-beta
This model uses a context window of 8k. Special thanks to mlabonne and Nexusflow for the models.
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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. -->
# chkpts
This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "tiiuae/falcon-7b", "model-index": [{"name": "chkpts", "results": []}]} | Rea-per/chkpts | null | [
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"safetensors",
"generated_from_trainer",
"base_model:tiiuae/falcon-7b",
"license:apache-2.0",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-tiiuae/falcon-7b #license-apache-2.0 #region-us
| chkpts
======
This model is a fine-tuned version of tiiuae/falcon-7b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1903
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Tr... | [
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