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# Uploaded model
- **Developed by:** GodsonNtungi
- **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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | GodsonNtungi/swahilillama3-8b-gguf-real | null | [
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# Uploaded model
- Developed by: GodsonNtungi
- 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 | **GGUF:** https://huggingface.co/victunes/TherapyLlama-8B-v1-GGUF
# TherapyLlama 8B v1
_Buddy is here for you._
Trained on Llama 3 8B using a modified version of [jerryjalapeno/nart-100k-synthetic]... | {"license": "cc-by-nc-4.0", "datasets": ["victunes/nart-100k-synthetic-buddy-mixed-names"]} | victunes/TherapyLlama-8B-v1 | null | [
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| GGUF: URL
# TherapyLlama 8B v1
_Buddy is here for you._
!image/png
Trained on Llama 3 8B using a modified version of jerryjalapeno/nart-100k-synthetic.
It is a Llama 3 version of URL
TherapyLlama is _hopefully_ aligned to be helpful, healthy, and comforting.
## IMPORTANT: Use Vicuna format
This was trained wit... | [
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null | null | Jointvita là gì?
Jointvita xi-rô là chất bổ sung dạng lỏng qua đường uống mang tính đột phá được thiết kế để tăng cường và duy trì sức khỏe khớp. Không giống như các sản phẩm hỗ trợ khớp truyền thống, Jointvita Giá mang đến giải pháp tiện lợi và dễ sử dụng với đầy đủ các chất dinh dưỡng thiết yếu. Công thức cải tiến n... | {"license": "apache-2.0"} | JointvitaVietnam/JointvitaVietnam | null | [
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| Jointvita là gì?
Jointvita xi-rô là chất bổ sung dạng lỏng qua đường uống mang tính đột phá được thiết kế để tăng cường và duy trì sức khỏe khớp. Không giống như các sản phẩm hỗ trợ khớp truyền thống, Jointvita Giá mang đến giải pháp tiện lợi và dễ sử dụng với đầy đủ các chất dinh dưỡng thiết yếu. Công thức cải tiến n... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-emotion-1
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuned-emotion-1", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion... | MuhammadYousef/finetuned-emotion-1 | null | [
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| finetuned-emotion-1
===================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2313
* Accuracy: 0.9155
* F1: 0.9155
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/dee... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-subjqa-movies_2", "results": []}]} | colllm/roberta-finetuned-subjqa-movies_2 | null | [
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|
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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sentence-similarity | sentence-transformers |
# 0xSH1V4M/distilroberta-base-sentence-transformer-snli
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-Transform... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["snli"], "pipeline_tag": "sentence-similarity"} | 0xSH1V4M/distilroberta-base-sentence-transformer-snli | null | [
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# 0xSH1V4M/distilroberta-base-sentence-transformer-snli
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-... | [
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null | null | **Original:** https://huggingface.co/victunes/TherapyLlama-8B-v1
## IMPORTANT: Use Vicuna format
This was trained with the Vicuna 1.1 format. Use the Vicuna format! Do NOT use the Llama 3 format.
# TherapyLlama 8B v1
_Buddy is here for you._
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f07d... | {"license": "cc-by-nc-4.0", "datasets": ["victunes/nart-100k-synthetic-buddy-mixed-names"]} | victunes/TherapyLlama-8B-v1-GGUF | null | [
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| Original: URL
## IMPORTANT: Use Vicuna format
This was trained with the Vicuna 1.1 format. Use the Vicuna format! Do NOT use the Llama 3 format.
# TherapyLlama 8B v1
_Buddy is here for you._
!image/png
Trained on Llama 3 8B using a modified version of jerryjalapeno/nart-100k-synthetic.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Edgar404/donut_multitask-shivi-recognition | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# binary-stock-classifier
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "binary-stock-classifier", "results": []}]} | hkufyp2024/binary-stock-classifier | null | [
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| binary-stock-classifier
=======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1577
* Accuracy: 0.95
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | himum/sn6_0l3 | null | [
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# Model Card for Model ID
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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 |
# yujiepan/Meta-Llama-3-8B-gptq-w8asym
This model applies AutoGPTQ on [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
- 8-bit asymmetric weight only quantization
- group_size=-1
- calibration set: c4-new
## Accuracy
| model | precision | wikitext ppl (↓) |
|-|-|-|
| meta-llama/Meta... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-gptq-w8asym | null | [
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| yujiepan/Meta-Llama-3-8B-gptq-w8asym
====================================
This model applies AutoGPTQ on meta-llama/Meta-Llama-3-8B.
* 8-bit asymmetric weight only quantization
* group\_size=-1
* calibration set: c4-new
Accuracy
--------
model: meta-llama/Meta-Llama-3-8B, precision: FP16, wikitext ppl (↓): 9.17... | [] | [
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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": "openai/whisper-base"} | ygaci/whisper-base-fr_common_voice_16_new | null | [
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|
# Model Card for Model ID
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- Finetuned from model [optional]:
### Model Sources [optional]
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | AnetteHabanen/detr | null | [
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|
# detr
This model is a fine-tuned version of facebook/detr-resnet-50 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 foll... | [
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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": []} | Gokul29/intent_recognition | 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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text2text-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. -->
# HI-EN_translation
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hi-en](https://huggingface.co/Helsinki-NLP/opus-mt-hi-en... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "Helsinki-NLP/opus-mt-hi-en", "model-index": [{"name": "HI-EN_translation", "results": []}]} | Nettem-Gayathri/HI-EN_translation | null | [
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| HI-EN\_translation
==================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-hi-en on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.5159
* Validation Loss: 3.5002
* Epoch: 0
Model description
-----------------
More information needed
Intended ... | [
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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": []} | EpicJhon/llama | null | [
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text-generation | transformers | # ChaoticNeutrals/IQ_Test_l3_8B AWQ
- Model creator: [ChaoticNeutrals](https://huggingface.co/ChaoticNeutrals)
- Original model: [IQ_Test_l3_8B](https://huggingface.co/ChaoticNeutrals/IQ_Test_l3_8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Exa... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/IQ_Test_l3_8B-AWQ | null | [
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#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # ChaoticNeutrals/IQ_Test_l3_8B AWQ
- Model creator: ChaoticNeutrals
- Original model: IQ_Test_l3_8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantizati... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_ablation_4iters_bs256_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0001_ablation_4iters_bs256_iter_3](https://... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_ablation_4iters_bs256_iter_3", "model-index": [{"name": "0.0001_ablation_4iters_bs256_iter_4", "results": []}]} | ShenaoZ/0.0001_ablation_4iters_bs256_iter_4 | null | [
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"endpoints_... | null | 2024-04-22T09:33:45+00:00 | [] | [] | TAGS
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|
# 0.0001_ablation_4iters_bs256_iter_4
This model is a fine-tuned version of ShenaoZ/0.0001_ablation_4iters_bs256_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
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text-generation | transformers | # winglian/llama-3-orpo-ml AWQ
- Model creator: [winglian](https://huggingface.co/winglian)
- Original model: [llama-3-orpo-ml](https://huggingface.co/winglian/llama-3-orpo-ml)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Python code
```p... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/llama-3-orpo-ml-AWQ | null | [
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#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # winglian/llama-3-orpo-ml AWQ
- Model creator: winglian
- Original model: llama-3-orpo-ml
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compar... | [
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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": []} | tom-brady/6-223 | 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 | # Japanese-Starling-ChatV-7B
このモデルは"chatntq-ja-7b-v1.0"をベースにした7Bパラメータの日本語チャットモデルです。
<br>"Japanese-Starling-ChatV-7B" is a Japanese chat model built on top of "chatntq-ja-7b-v1.0", originally based on Mistral-7B-v0.1.
<br>6bit量子化モデル
### <a href="https://huggingface.co/TFMC/Japanese-Starling-ChatV-7B-GGUF">詳細とGGUF版はこちら... | {"language": ["ja"], "license": "apache-2.0", "tags": ["Mistral"], "pipeline_tag": "text-generation"} | AbeShinzo0708/Japanese-Starling-ChatV-7B-exl2 | null | [
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#transformers #safetensors #mistral #text-generation #Mistral #ja #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
| # Japanese-Starling-ChatV-7B
このモデルは"chatntq-ja-7b-v1.0"をベースにした7Bパラメータの日本語チャットモデルです。
<br>"Japanese-Starling-ChatV-7B" is a Japanese chat model built on top of "chatntq-ja-7b-v1.0", originally based on Mistral-7B-v0.1.
<br>6bit量子化モデル
### <a href="URL>詳細とGGUF版はこちら。Details and GGUFs are here. </a>
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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": []} | tom-brady/6-218 | null | [
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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|
# Model Card for Model ID
## Model Details
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### Model Sources [optional]
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Mihaiii/Pallas-0.5-frankenmerge
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Pallas-0.... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "Mihaiii/Pallas-0.5-frankenmerge", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "license_name": "yi-license", "quantized_by": "mradermacher"} | mradermacher/Pallas-0.5-frankenmerge-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-llama3-orpo-v2 | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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. -->
# stocks
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cawikitc](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cawikitc", "model-index": [{"name": "stocks", "results": []}]} | adriansanz/ModeloFT1-v1 | null | [
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| stocks
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cawikitc on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6639
* Accuracy: 0.7637
* Precision: 0.5304
* Recall: 0.4710
* F1: 0.4778
* Ratio: 0.7903
Model description
-----------------
More... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/vividpdxl_v11VAE | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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zero-shot-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. -->
# p1
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cawikitc](https://huggingface.co/projecte-aina/robert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cawikitc", "pipeline_tag": "zero-shot-classification", "model-index": [{"name": "p1", "results": []}]} | adriansanz/p1 | null | [
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| p1
==
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cawikitc on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8254
* Accuracy: 0.5
* Precision: 0.25
* Recall: 0.5
* F1: 0.3333
* Ratio: 1.0
Model description
-----------------
More information needed... | [
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text-generation | null |
tokenizer only | {"language": ["ru", "code"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | aeonium/Aeonium-v1-Base-7B | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **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_ChatGPT_t1_tiny_Seed101 | null | [
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text-generation | transformers |
# Llama3merge8-15B-MoE
Llama3merge8-15B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B)
* [psyche/llama3-8... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "sethuiyer/Medichat-Llama3-8B", "psyche/llama3-8b-instruct-mrc-v0.3"], "base_model": ["sethuiyer/Medichat-Llama3-8B", "psyche/llama3-8b-instruct-mrc-v0.3"]} | allknowingroger/Llama3merge8-15B-MoE | null | [
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"base_model:psyche/llama3-8b-instruct-mr... | null | 2024-04-22T09:46:07+00:00 | [] | [] | TAGS
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# Llama3merge8-15B-MoE
Llama3merge8-15B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* sethuiyer/Medichat-Llama3-8B
* psyche/llama3-8b-instruct-mrc-v0.3
## Configuration
## Usage
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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_ChatGPT_t1_tiny_Seed101 | 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-to-audio | 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... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["text-to-audio", "ylacombe/tiny-punk", "generated_from_trainer"], "base_model": "facebook/musicgen-melody", "model-index": [{"name": "musicgen-melody-lora-punk", "results": []}]} | ylacombe/musicgen-melody-lora-punk | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# musicgen-melody-lora-punk
This model is a fine-tuned version of facebook/musicgen-melody on the YLACOMBE/TINY-PUNK - DEFAULT dataset.
It achieves the following re... | [
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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": []} | srirambhavadish/Mixtral_arxt_v1 | null | [
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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. -->
# continual-pretraining-checkpoint
This model is a fine-tuned version of [Bachhoang/vbd-llama2-7B-legals-chat](https://huggingface... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Bachhoang/vbd-llama2-7B-legals-chat", "model-index": [{"name": "continual-pretraining-checkpoint", "results": []}]} | Bachhoang/continual-pretraining-checkpoint | null | [
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# continual-pretraining-checkpoint
This model is a fine-tuned version of Bachhoang/vbd-llama2-7B-legals-chat on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More 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": []} | heyllm234/sc63 | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** kapilgaikwad
- **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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | kapilgaikwad/mistral_lora_model | null | [
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# Uploaded model
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text-generation | transformers |
> Update @ 2024.05.01: Pre-Release [Llama-3-KoEn-8B](https://huggingface.co/beomi/Llama-3-KoEn-8B-preview) model & [Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & [Llama-3-Open-Ko-8B-Instruct-preview](https://h... | {"language": ["en", "ko"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | beomi/Llama-3-Open-Ko-8B | null | [
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|
>
> Update @ 2024.05.01: Pre-Release Llama-3-KoEn-8B model & Llama-3-KoEn-8B-Instruct-preview
>
>
>
>
> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & Llama-3-Open-Ko-8B-Instruct-preview
>
>
>
Model Details
-------------
Llama-3-Open-Ko-8B
Llama-3-Open-Ko-8B model is continued pretrained lang... | [
"### Responsibility & Safety\n\n\nWe believe that an open approach to AI leads to better, safer products, faster innovation, and a bigger overall market. We are committed to Responsible AI development and took a series of steps to limit misuse and harm and support the open source community.\n\n\nFoundation models a... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Dv - FredDYyy
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["dv"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Dv - FredDYyy", "results": [{"task": {"type": "automatic-speech-recognition", "name": ... | FredDYyy/whisper-small-dv | null | [
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... | null | 2024-04-22T09:54:20+00:00 | [] | [
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| Whisper Small Dv - FredDYyy
===========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1753
* Wer Ortho: 63.3540
* Wer: 13.6489
Model description
-----------------
More information need... | [
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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. -->
# skin_cancer_classification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goog... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "skin_cancer_classification", "results": []}]} | karoladelk/skin_cancer_classification | null | [
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| skin\_cancer\_classification
============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Pranavkpba2000/skin\_cancer\_dataset dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5151
* Accuracy: 0.8260
Model description
-----------------
Mo... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | scvi-tools |
# Description
scVI model trained on synthetic IID data and uploaded with the full training data.
# Model properties
Many model properties are in the model tags. Some more are listed below.
**model_init_params**:
```json
{
"n_hidden": 128,
"n_latent": 10,
"n_layers": 1,
"dropout_rate": 0.1,
"dis... | {"license": "cc-by-4.0", "library_name": "scvi-tools", "tags": ["biology", "genomics", "single-cell", "model_cls_name:SCVI", "scvi_version:1.1.3", "anndata_version:0.10.7", "modality:rna", "annotated:False"]} | scvi-tools/test-scvi-create | null | [
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| Description
===========
scVI model trained on synthetic IID data and uploaded with the full training data.
Model properties
================
Many model properties are in the model tags. Some more are listed below.
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model\_setup\_anndata\_args:
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null | null |
# NeuralsynthesisMulti_verse_model-7B
NeuralsynthesisMulti_verse_model-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Kukedlc/NeuralSynthesis-7b-v0.4-slerp
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/NeuralsynthesisMulti_verse_model-7B | null | [
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|
# NeuralsynthesisMulti_verse_model-7B
NeuralsynthesisMulti_verse_model-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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sentence-similarity | sentence-transformers | ---
# gte-micro-v2
This is a distill of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/semantic-autocomplete/)).</span>
## Usage (Sentence-Transformers) (same ... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "gte", "mteb"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "gte-micro-test", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCo... | Mihaiii/gte-micro-v2 | null | [
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#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #gte #mteb #license-mit #model-index #endpoints_compatible #region-us
| ---
# gte-micro-v2
This is a distill of gte-tiny.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
## Usage (Sentence-Transformers) (same as gte-tiny)
Using this model becomes easy when you have sentence-transformers installed:
Th... | [
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text-generation | transformers |
# Boreas
**NB: 20240430 model card is WIP - evaluations / example generations to be added**
Boreas-7B is een Nederlands/Engels taalmodel gebaseerd op Mistral-7B.
Het is getraind op 10 miljard tokens aan Nederl... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned"], "datasets": ["yhavinga/mc4_nl_cleaned", "yhavinga/nedd_wiki_news", "teknium/OpenHermes-2.5", "euirim/goodwiki", "philschmid/flanv2"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "system", "conten... | yhavinga/Boreas-7B-chat | null | [
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======
NB: 20240430 model card is WIP - evaluations / example generations to be added
!BoreasThe Mighty God of the North Wind
Boreas-7B is een Nederlands/Engels taalmodel gebaseerd op Mistral-7B.
Het is getraind op 10 miljard tokens aan Nederlandse en Engelse tekst.
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null | transformers |
# Uploaded model
- **Developed by:** Akirami
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Akirami/llama3-orpo-test | null | [
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|
# Uploaded model
- Developed by: Akirami
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-finetuned-lime-v1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/m... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-7b-finetuned-lime-v1", "results": []}]} | deadcode99/mistral-7b-finetuned-lime-v1 | null | [
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| mistral-7b-finetuned-lime-v1
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4881
Model description
-----------------
More 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
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text-generation | transformers |
# Uploaded model
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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/dumbo-stable_t3 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the None d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "output", "results": []}]} | KalaiselvanD/output | null | [
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======
This model is a fine-tuned version of albert/albert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
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* Accuracy: 0.7191
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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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. -->
# stock-classifier
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "stock-classifier", "results": []}]} | hkufyp2024/stock-classifier | null | [
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| stock-classifier
================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0048
* Accuracy: 0.9984
Model description
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More information needed
Intended uses & limitations
---... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-gsm8k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on t... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer", "text-generation-inference", "code"], "base_model": "microsoft/phi-1_5", "pipeline_tag": "text-generation", "model-index": [{"name": "phi-1_5-finetuned-gsm8k", "results": []}]} | shubham008/phi-1_5-finetuned-gsm8k | null | [
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# phi-1_5-finetuned-gsm8k
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers |
# Model Card for Model ID
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null | transformers |
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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
<!-- Provide a longer summary of what this model is. -->
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null | transformers | ## About
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static quants of https://huggingface.co/cutycat2000x/MeowGPT-ll3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["freeai", "conversational", "meowgpt", "gpt", "free", "opensource", "splittic", "ai", "llama", "llama3"], "datasets": ["Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "... | mradermacher/MeowGPT-ll3-GGUF | null | [
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-----
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-audio | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** Adedeji Oluwadamisola
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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null | null | # SkinXmed Deutschland Erfahrungen - SkinXmed Stiftung Warentest Test Kaufen
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| # SkinXmed Deutschland Erfahrungen - SkinXmed Stiftung Warentest Test Kaufen
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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. -->
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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 | 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": []} | relu-ntnu/bart-large-cnn_v4_trained_on_10_lr_5e-5_r8_a16_all_layers | 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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# Model Card for Model ID
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | SiLamine/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-5 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | relu-ntnu/bart-large-cnn_v4_trained_on_25_lr_5e-5_r8_a16_all_layers | 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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | wsqstar/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-22T10:28:25+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers | # NEBULA-23.8B-v1.0
## Technical notes
- 108 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)->NEBULA(108)
- 23.8B parameters
- model created as a extension of depth upscaling procedure used for SOLAR by upstage
## R... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "NEBULA-23B-v1.0", "results": [{"task":... | TeeZee/NEBULA-23.8B-v1.0-bpw7.5-h8-exl2 | null | [
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=================
!image/png
Technical notes
---------------
* 108 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)->NEBULA(108)
* 23.8B parameters
* model created as a extension of depth upscaling procedure used for SOLAR by upstage
Results
-------
* model can and will produce NSFW ... | [] | [
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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. -->
# qya
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknow... | {"license": "mit", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "qya", "results": []}]} | lauragordo/qya | null | [
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| qya
===
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3158
* Bleu: 2.4862
* Gen Len: 92.91
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-cnn_v4_trained_on_50_lr_5e-5_r8_a16_all_layers | null | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Epiculous/Crunchy-onion
<!-- provided-files -->
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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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": []} | srirambhavadish/Mixtral_arxt_v2 | null | [
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## Model Details
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MaziyarPanahi/Llama-3-11B-Instruct-v0.1
<!-- provided-files -->
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| About
-----
static quants of URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mayurpai5/Llama-2-7b-chat-hf-tuned-merged | null | [
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"safetensors",
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"text-generation",
"conversational",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | tomaszki/llama-5-a | 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": []} | relu-ntnu/bart-large-cnn_v4_trained_on_100_lr_5e-5_r8_a16_all_layers | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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": []} | Edgar404/donut-sroie | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | Users can convert EML files to Hotmail account files in a very secure and efficient manner by using a professional solution - ToolsBaer EML to Hotmail Importer tool. It is now simpler to convert EML files with attachments to Hotmail account files in bulk. The user never loses any data when using this program for conver... | {} | madelineoliver/ToolsBaer-EML-to-Hotmail-Importer | null | [
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#region-us
| Users can convert EML files to Hotmail account files in a very secure and efficient manner by using a professional solution - ToolsBaer EML to Hotmail Importer tool. It is now simpler to convert EML files with attachments to Hotmail account files in bulk. The user never loses any data when using this program for conver... | [] | [
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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/dumbo-stable_t4 | 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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mayurpai5/results | 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 |
# 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": []} | jeongmi/solar_musinsa_user111_100 | null | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | lzacchini/ppo-LunarLander-v2 | null | [
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|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
null | transformers |
# Uploaded model
- **Developed by:** crazyup37
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | crazyup37/Llama3_8b_finetuned | null | [
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|
# Uploaded model
- Developed by: crazyup37
- 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 |
# 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": []} | tomaszki/llama-5-b | null | [
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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. -->
# beit-base-patch16-224-pt22k-ft22k-finetuning
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k]... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224-pt22k-ft22k", "model-index": [{"name": "beit-base-patch16-224-pt22k-ft22k-finetuning", "results": []}]} | Rocky807/beit-base-patch16-224-pt22k-ft22k-finetuning | null | [
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| beit-base-patch16-224-pt22k-ft22k-finetuning
============================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2268
* Accuracy: 0.921
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. -->
# fine-tuned-distilbert-base-uncased
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "fine-tuned-distilbert-base-uncased", "results": []}]} | akash2212/fine-tuned-distilbert-base-uncased | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T10:38:29+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# fine-tuned-distilbert-base-uncased
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5086
- eval_accuracy: {'accuracy': 0.815576323987539}
- eval_f1score: {'f1': 0.8154580580519637}
- eval_runtime: 23.9985
-... | [
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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": []} | himum/sn6_3l3 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | null | Cos'è Proctolax gel?
Proctolax Siero è una crema topica formulata per colpire le emorroidi, che sono vene gonfie nel retto o nell'ano, che causano prurito, dolore e disagio. Questa crema contiene una miscela di ingredienti naturali noti per le loro proprietà lenitive e curative, che forniscono sollievo dai sintomi ass... | {"license": "apache-2.0"} | ProctolaxItaly/ProctolaxItaly | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T11:03:28+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Cos'è Proctolax gel?
Proctolax Siero è una crema topica formulata per colpire le emorroidi, che sono vene gonfie nel retto o nell'ano, che causano prurito, dolore e disagio. Questa crema contiene una miscela di ingredienti naturali noti per le loro proprietà lenitive e curative, che forniscono sollievo dai sintomi ass... | [] | [
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13
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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="bhutchings/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"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": ... | bhutchings/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-22T11:04:50+00:00 | [] | [] | TAGS
#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 | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- 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_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/Tinybest | null | [
"peft",
"safetensors",
"llama",
"region:us"
] | null | 2024-04-22T11:07:21+00:00 | [] | [] | TAGS
#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- 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_type: nf4
- bnb_4bit_use_doub... | [
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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_Epistemic_tiny_0.6_Seed101 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.6_Seed101 | null | [
"peft",
"arxiv:1910.09700",
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] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
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null | null | Download the DataVare EML to Gmail Converter to to Import EML files to Gmail in batch. Additionally, it enables users to convert EML files to Gmail in any size of EML file. Various email client that supports EML, including Windows Live Mail, Outlook Express, Thunderbird, and others, can use the application with no issu... | {} | DataVare/EML-To-Gmail-Converter | null | [
"region:us"
] | null | 2024-04-22T11:10:10+00:00 | [] | [] | TAGS
#region-us
| Download the DataVare EML to Gmail Converter to to Import EML files to Gmail in batch. Additionally, it enables users to convert EML files to Gmail in any size of EML file. Various email client that supports EML, including Windows Live Mail, Outlook Express, Thunderbird, and others, can use the application with no issu... | [] | [
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text-generation | transformers |
**Scarlett-Llama-3-8B**
Scarlett is trained on various topics such as Philosophy, Advice, Jokes, Coding etc. She is trained on more than 10000 set of conversations. Each set having 10~15 conversations.
Scarlett is far too good in generating human like conversation. Her ability to have longer & deeper conversation is ... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code", "companionship"], "license_name": "llama3", "license_link": "LICENSE", "model-index": [{"name": "Scarlett-Llama-3-8B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"na... | ajibawa-2023/Scarlett-Llama-3-8B | null | [
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"conversational",
"en",
"license:other",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"en"
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| Scarlett-Llama-3-8B
Scarlett is trained on various topics such as Philosophy, Advice, Jokes, Coding etc. She is trained on more than 10000 set of conversations. Each set having 10~15 conversations.
Scarlett is far too good in generating human like conversation. Her ability to have longer & deeper conversation is terr... | [] | [
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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="bhutchings/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | bhutchings/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-22T11:11:44+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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] |
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"]} | Kommunarus/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-22T11:13:51+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... | [
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