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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. -->
# wav2vec-best-CREMA-sentiment-analysis
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec-best-CREMA-sentiment-analysis", "results": []}]} | Supreeta03/wav2vec2-base-CREMAD-sentiment-analysis | null | [
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| wav2vec-best-CREMA-sentiment-analysis
=====================================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Top2 Accuracy: 0.8940
* Loss: 0.8287
* Accuracy: 0.7074
Model description
-----------------
M... | [
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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": []} | chiangcw/zephyr-7b-beta-Agent-Instruct_e1 | null | [
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## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ryanyeo/kirnect-koalpaca-polyglot-5.8B-food | null | [
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null | null | LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised-GGUF
Original model: [LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised-GGUF](https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised)
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"region:us"
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#gguf #region-us
| LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised-GGUF
Original model: LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised-GGUF
Use URL's conversion and quantization scripts. | [] | [
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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. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | ipurwadi/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2963
* Accuracy: 0.9093
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. -->
# Intent-classification-BERT-Large-Ashuv3
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "Intent-classification-BERT-Large-Ashuv3", "results": []}]} | Narkantak/Intent-classification-BERT-Large-Ashuv3 | null | [
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| Intent-classification-BERT-Large-Ashuv3
=======================================
This model is a fine-tuned version of google-bert/bert-large-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2610
* Accuracy: 0.8951
* F1: 0.8807
* Precision: 0.8812
* Recall: 0.8820
M... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "BioMistral/BioMistral-7B"]} | mergekit-community/mergekit-ties-itmchpd | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
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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... | jrcp98/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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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", "dpo"]} | appvoid/instruct-palmer-003-beta-4 | null | [
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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": []} | SOUMYADEEPSAR/convbert_polbias | null | [
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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": []} | faizahmp/finetune_indobert_v4 | 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 |
# Uploaded model
- **Developed by:** DattaBS
- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Llama-2-7b-hf
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "meta-llama/Llama-2-7b-hf"} | DattaBS/llama7b_NonQuant-SFT_polarity50 | null | [
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# Uploaded model
- Developed by: DattaBS
- License: apache-2.0
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<img src="URL width="200"/>
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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": []} | chiangcw/zephyr-7b-beta-Agent-Instruct_e3 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model 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": []} | ekle-me/gemma-Code-Instruct-Finetune-test-105 | null | [
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text-generation | transformers | # Test
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 [jeiku/Zephyr_beta_32k_7B](https://huggingface.co/jeiku/Zephyr_beta_3... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["jeiku/Zephyr_beta_32k_7B", "jeiku/Synthetic_Soul_1k_Mistral_128", "jeiku/Zephyr_beta_32k_7B", "jeiku/Theory_of_Mind_Mistral", "jeiku/Zephyr_beta_32k_7B", "monsterapi/mistral_7b_norobots", "jeiku/Zephyr_beta_32k_7B",... | jeiku/32kTest_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 jeiku/Zephyr_beta_32k_7B as a base.
### Models Merged
The following models were included in the merge:
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text-generation | null |
# SabbatH 2x7B
<img src="https://huggingface.co/Elizezen/SabbatH-2x7B/resolve/main/OIG4.jpg" alt="drawing" style="width:512px;"/>
## Model Description
SabbatH 2x7B is a Japanese language model that has been created by combining two models: [Antler-RP-ja-westlake-chatvector](https://huggingface.co/soramikaduki/Antle... | {"language": ["ja"], "license": "apache-2.0", "tags": ["causal-lm", "not-for-all-audiences", "nsfw"], "pipeline_tag": "text-generation"} | Elizezen/SabbatH-2x7B-GGUF | null | [
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#gguf #causal-lm #not-for-all-audiences #nsfw #text-generation #ja #license-apache-2.0 #region-us
|
# SabbatH 2x7B
<img src="URL alt="drawing" style="width:512px;"/>
## Model Description
SabbatH 2x7B is a Japanese language model that has been created by combining two models: Antler-RP-ja-westlake-chatvector and Hameln-japanese-mistral-7B, using a Mixture of Experts (MoE) approach. It also used chatntq-ja-7b-v1.0 ... | [
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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. -->
# tiny-llama-lora-no-grad
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tiny-llama-lora-no-grad", "results": []}]} | xshubhamx/tiny-llama-lora-no-grad | null | [
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| tiny-llama-lora-no-grad
=======================
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7206
* Accuracy: 0.8164
* Precision: 0.8231
* Recall: 0.8164
* Precision Macro: 0.7396
* Recall Macro: 0.... | [
"### 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: 15",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_ian-022_IMDB_n-its-3
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_ian-022_IMDB_n-its-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_ian-022_IMDB_n-its-3 | null | [
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|
# robust_llm_pythia-160m_ian-022_IMDB_n-its-3
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-generation | transformers |
# Model Card for Model ID
MistralAI 7B model fine-tuned for 1 epoch on Dataricks instruction tuning dataset.
## Model Details
### Model Description
- **Developed by:** Andrew Chahnwoo Park
- **Model type:** [Mistral](https://arxiv.org/pdf/2310.06825.pdf)
- **Language(s) (NLP):** English
- **License:** apache-2.0
-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["databricks/databricks-dolly-15k"], "pipeline_tag": "text-generation"} | Chahnwoo/Mistral-7B-v0.1-1E-QLoRA-SFT-Test | null | [
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|
# Model Card for Model ID
MistralAI 7B model fine-tuned for 1 epoch on Dataricks instruction tuning dataset.
## Model Details
### Model Description
- Developed by: Andrew Chahnwoo Park
- Model type: Mistral
- Language(s) (NLP): English
- License: apache-2.0
- Finetuned from model: mistralai/Mistral-7B-v0.1
### Mi... | [
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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": []} | chiawei0411/blip2-opt-2.7b-646-220k-captions | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers | The RoBERTa model has been fine-tuned specifically for token classification in PII Detection task. | {"language": ["en"], "metrics": ["recall"]} | zeinab-sheikhi/Roberta-pii-detection-baseline | null | [
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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-7b-chat-10000-25-75-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-10000-25-75-L", "results": []}]} | Niyantha23M/llama-7b-chat-10000-25-75-L | null | [
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"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
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#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
|
# llama-7b-chat-10000-25-75-L
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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object-detection | ultralytics |
# YOLOv8 model to detect wavy lines in images
## Inference
### Supported Labels
```python
["line"]
```
### How to use
```bash
pip install ultralyticsplus
```
```python
from ultralyticsplus import YOLO, render_result
# load model
model = YOLO('best.pt')
# set image
image = "https://dl.ndl.go.jp/api/iiif/1879314... | {"license": "cc-by-4.0", "library_name": "ultralytics", "tags": ["ultralyticsplus", "yolov8", "ultralytics"], "library_version": "8.0.43", "pipeline_tag": "object-detection"} | nakamura196/yolov8m-wavy-line-detection | null | [
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"yolov8",
"object-detection",
"license:cc-by-4.0",
"model-index",
"region:us"
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#ultralytics #v8 #ultralyticsplus #yolov8 #object-detection #license-cc-by-4.0 #model-index #region-us
|
# YOLOv8 model to detect wavy lines in images
## Inference
### Supported Labels
### How to use
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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-shivi-cheques | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T06:41:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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:
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- License... | [
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text-classification | bertopic |
# TopicModel_StoreReviews
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bert... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | shantanudave/TopicModel_StoreReviews | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-18T06:41:56+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| TopicModel\_StoreReviews
========================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
T... | [] | [
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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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [psmathur/orca_mini_v3_13b](https://hu... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["psmathur/orca_mini_v3_13b", "garage-bAInd/Platypus2-13B"]} | Trisert/OrcaPlus | null | [
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-18T06:42:00+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* psmathur/orca_mini_v3_13b
* garage-bAInd/Platypus2-13B
### Configuration
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-elderf1
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/vid... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-elderf1", "results": []}]} | minhah/videomae-base-finetuned-elderf1 | null | [
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| videomae-base-finetuned-elderf1
===============================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7031
* Accuracy: 0.3481
Model description
-----------------
More information needed
Intended use... | [
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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. -->
# distilbert-imdb-naive
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-imdb-naive", "results": []}]} | AmritaBh/distilbert-imdb-naive | null | [
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| distilbert-imdb-naive
=====================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------... | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ElderReact-anger-balanced-hp
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggi... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-anger-balanced-hp", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-anger-balanced-hp | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-18T06:46:42+00:00 | [] | [] | TAGS
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| videomae-base-finetuned-ElderReact-anger-balanced-hp
====================================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6938
* Accuracy: 0.4672
Model description
----------------... | [
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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:
* [zzttbrdd/sn6_05m](https://huggingface.co/zz... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["zzttbrdd/sn6_05m", "zzttbrdd/sn6_07m"]} | Sumail/Ame11 | null | [
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"text-generation",
"mergekit",
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"base_model:zzttbrdd/sn6_05m",
"base_model:zzttbrdd/sn6_07m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T06:49:18+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* zzttbrdd/sn6_05m
* zzttbrdd/sn6_07m
### Configuration
The following YAML config... | [
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text-generation | transformers |
# Fine-tuning Mistral-7B-v0.1 on Symbolic Instruction Tuning Dataset
This repository contains the fine-tuned version of the `mistralai/Mistral-7B-v0.1` model on the `sail/symbolic-instruction-tuning` dataset. The objective of this fine-tuning process is to specialize the pre-trained model for improved performance on ... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | rootsec1/mistral-7B-it-aipi | null | [
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"text-generation-inference",
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#transformers #pytorch #safetensors #mistral #text-generation #finetuned #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Fine-tuning Mistral-7B-v0.1 on Symbolic Instruction Tuning Dataset
This repository contains the fine-tuned version of the 'mistralai/Mistral-7B-v0.1' model on the 'sail/symbolic-instruction-tuning' dataset. The objective of this fine-tuning process is to specialize the pre-trained model for improved performance on ... | [
"# Fine-tuning Mistral-7B-v0.1 on Symbolic Instruction Tuning Dataset\n\nThis repository contains the fine-tuned version of the 'mistralai/Mistral-7B-v0.1' model on the 'sail/symbolic-instruction-tuning' dataset. The objective of this fine-tuning process is to specialize the pre-trained model for improved performan... | [
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null | transformers |
# Trisert/OrcaPlus-Q4_K_S-GGUF
This model was converted to GGUF format from [`Trisert/OrcaPlus`](https://huggingface.co/Trisert/OrcaPlus) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Trisert/OrcaPl... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["psmathur/orca_mini_v3_13b", "garage-bAInd/Platypus2-13B"]} | Trisert/OrcaPlus-Q4_K_S-GGUF | null | [
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"endpoints_compatible",
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|
# Trisert/OrcaPlus-Q4_K_S-GGUF
This model was converted to GGUF format from 'Trisert/OrcaPlus' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can als... | [
"# Trisert/OrcaPlus-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Trisert/OrcaPlus' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer... | [
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text-generation | transformers |
# Clevyby/Red-Daffodil-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`nakodanei/Red-Daffodil-7B`](https://huggingface.co/nakodanei/Red-Daffodil-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugg... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Clevyby/Red-Daffodil-7B-Q5_K_S-GGUF | null | [
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|
# Clevyby/Red-Daffodil-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'nakodanei/Red-Daffodil-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage using Text Gen Webui with ll... | [
"# Clevyby/Red-Daffodil-7B-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'nakodanei/Red-Daffodil-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"### Note: \nThe additional files in this GGUF repo is for personal usage using Text Gen W... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CarrotAI/OpenCarrot-Mix-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "CarrotAI/OpenCarrot-Mix-7B", "quantized_by": "mradermacher"} | mradermacher/OpenCarrot-Mix-7B-GGUF | null | [
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"gguf",
"mergekit",
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"en",
"base_model:CarrotAI/OpenCarrot-Mix-7B",
"license:mit",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-CarrotAI/OpenCarrot-Mix-7B #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cointegrated/SONAR_200_converted_text_encoder | null | [
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#transformers #safetensors #m2m_100 #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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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": []} | zandfj/LLaMA2-7B-Chat-lora-nq-tet-robust-041814 | 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": []} | abhayesian/BobzillaV27 | 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-generation | transformers |
# Uploaded model
- **Developed by:** nzwildcode
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | nzwildcode/FlasherAI-v0.1-7B | null | [
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# Uploaded model
- Developed by: nzwildcode
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | cointegrated/SONAR_200_converted_text_decoder | null | [
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# Model Card for Model ID
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### 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 |
# Clevyby/SnowyRP-V2-13B-L2_BetaTest-Q4_K_M-GGUF
This model was converted to GGUF format from [`Masterjp123/SnowyRP-V2-13B-L2_BetaTest`](https://huggingface.co/Masterjp123/SnowyRP-V2-13B-L2_BetaTest) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to t... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["TheBloke/Llama-2-13B-fp16", "Masterjp123/SnowyRP-FinalV1-L2-13B", "Masterjp123/Snowyrp-V2B-P1", "sauce1337/BerrySauce-L2-13b"]} | Clevyby/SnowyRP-V2-13B-L2_BetaTest-Q4_K_M-GGUF | null | [
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# Clevyby/SnowyRP-V2-13B-L2_BetaTest-Q4_K_M-GGUF
This model was converted to GGUF format from 'Masterjp123/SnowyRP-V2-13B-L2_BetaTest' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage usin... | [
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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": []} | lxsure/Sniper_28 | null | [
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"text-generation",
"conversational",
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"region:us"
] | null | 2024-04-18T06:56:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
This is a model for the paper "[MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs](https://arxiv.org/pdf/2402.16352.pdf)".
## News
- **[... | {"language": ["en"], "license": "apache-2.0", "tags": ["code", "math"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | MathGenie/MathGenie-Mixtral-8x7B | null | [
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#transformers #safetensors #mixtral #text-generation #code #math #en #arxiv-2402.16352 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
================================================================================================================
This is a model for the paper "MathGenie: Generating Synthetic Data with Question Back-trans... | [
"### Models\n\n\nOur MathGenie-InterLM-20B model is available at Huggingface now.\nOur MathGenie-Mixtral-8x7B model is available at Huggingface now.",
"### Inference & Evaluation\n\n\nPlease refer to the MathCoder repo for the detailed code for inference and evaluation of our MathGenieLM models.\n\n\nIf you find ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/garage-bAInd/Camel-Platypus2-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Camel-Pl... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "datasets": ["garage-bAInd/Open-Platypus"], "base_model": "garage-bAInd/Camel-Platypus2-70B", "quantized_by": "mradermacher"} | mradermacher/Camel-Platypus2-70B-GGUF | null | [
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"endpoints_compatible",
"region:us"
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ResplendentAI/Aura_v3_7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/Aura_v3_7B", "quantized_by": "mradermacher"} | mradermacher/Aura_v3_7B-GGUF | null | [
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"gguf",
"en",
"base_model:ResplendentAI/Aura_v3_7B",
"license:apache-2.0",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-ResplendentAI/Aura_v3_7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-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. -->
# 0.001_ablation_6iters_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_6iters_iter_2](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_6iters_iter_2", "model-index": [{"name": "0.001_ablation_6iters_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_6iters_iter_3 | null | [
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|
# 0.001_ablation_6iters_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_6iters_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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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. -->
# 0.0_ablation_6iters_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0_ablation_6iters_iter_2](https://huggingface.co/She... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0_ablation_6iters_iter_2", "model-index": [{"name": "0.0_ablation_6iters_iter_3", "results": []}]} | ShenaoZ/0.0_ablation_6iters_iter_3 | null | [
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|
# 0.0_ablation_6iters_iter_3
This model is a fine-tuned version of ShenaoZ/0.0_ablation_6iters_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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null | transformers |
# nzwildcode/FlasherAI-v0.1-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`nzwildcode/FlasherAI-v0.1-7B`](https://huggingface.co/nzwildcode/FlasherAI-v0.1-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "llama-cpp", "gguf-my-repo"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | nzwildcode/FlasherAI-v0.1-7B-Q4_K_M-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T07:06:03+00:00 | [] | [
"en"
] | TAGS
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|
# nzwildcode/FlasherAI-v0.1-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'nzwildcode/FlasherAI-v0.1-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('xfddlm/sd-class-butterflies... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | xfddlm/sd-class-butterflies-32 | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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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": []} | SOUMYADEEPSAR/convbert_transfer | null | [
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"arxiv: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 |
# Clevyby/Foredoomed-9B-Q5_K_S-GGUF
This model was converted to GGUF format from [`CalderaAI/Foredoomed-9B`](https://huggingface.co/CalderaAI/Foredoomed-9B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfac... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "uncensored", "merge", "slerp", "foredoomed", "passthrough_merge", "9B", "starling", "hermes", "dolphin", "openchat", "erebus", "cockatrice", "holodeck", "limarp", "koboldai", "mergekit", "llama-cpp", "gguf-my-repo"]} | Clevyby/Foredoomed-9B-Q5_K_S-GGUF | null | [
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# Clevyby/Foredoomed-9B-Q5_K_S-GGUF
This model was converted to GGUF format from 'CalderaAI/Foredoomed-9B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage using Text Gen Webui with llamac... | [
"# Clevyby/Foredoomed-9B-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'CalderaAI/Foredoomed-9B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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. -->
# gpt-neo-125m_LAMA_TREx_finetuning
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuthe... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m_LAMA_TREx_finetuning", "results": []}]} | KimByeongSu/gpt-neo-125m_LAMA_TREx_finetuning | null | [
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"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T07:12:56+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-125m #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# gpt-neo-125m_LAMA_TREx_finetuning
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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"## Training and evaluation data\n\nMore information needed",
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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. -->
# solar_detection
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "solar_detection", "results": []}]} | michalszy888/solar_detection | null | [
"transformers",
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"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T07:13:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# solar_detection
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 hyperparameter... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
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text-generation | transformers |
### bitnet_b1_58-3B-Coder
Code finetuned version of [bitnet_b1_58-3B](https://huggingface.co/1bitLLM/bitnet_b1_58-3B)
### Usage
```python
from tokenization_bitnet import BitnetTokenizer
from transformers import AutoModelForCausalLM
import torch
PROMPT = """### Instruction
{instruction}
### Response
"""
instruction ... | {"license": "mit"} | TechxGenus/bitnet_b1_58-3B-Coder | null | [
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"safetensors",
"llama",
"text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T07:13:44+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### bitnet_b1_58-3B-Coder
Code finetuned version of bitnet_b1_58-3B
### Usage
### Note
Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding. It has undergone very limited testing. Additional safety testing should be performed before any real-wor... | [
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"### Usage",
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text-generation | transformers |
# Clevyby/Nomachi-7b-v1-Q5_K_S-GGUF
This model was converted to GGUF format from [`nakodanei/Nomachi-7b-v1`](https://huggingface.co/nakodanei/Nomachi-7b-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfac... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Clevyby/Nomachi-7b-v1-Q5_K_S-GGUF | null | [
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"region:us"
] | null | 2024-04-18T07:18:25+00:00 | [] | [] | TAGS
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|
# Clevyby/Nomachi-7b-v1-Q5_K_S-GGUF
This model was converted to GGUF format from 'nakodanei/Nomachi-7b-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### Note:
The additional files in this GGUF repo is for personal usage using Text Gen Webui with llamac... | [
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"### Note: \nThe additional files in this GGUF repo is for personal usage using Text Gen Webui... | [
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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. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "pegasus-samsum", "results": []}]} | SeohyeonYoo/pegasus-samsum | null | [
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"text2text-generation",
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"base_model:google/pegasus-cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T07:19:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
| pegasus-samsum
==============
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4833
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: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ibivibiv/orthorus_v3_125b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/orthorus_v3_125... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ibivibiv/orthorus_v3_125b", "quantized_by": "mradermacher"} | mradermacher/orthorus_v3_125b-i1-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-ibivibiv/orthorus_v3_125b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": []} | chiangcw/zephyr-7b-beta-Agent-Instruct_e10 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T07:21:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | # StarAntler-RP-WestLake-chatvector
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
このモデルはChatVector手法を用いてNSFW手法を強化したモデル2つをマージさせたモデルです。
まず、1つ目のモデルはChatVector手法を使用して、Aratrakoさん制作の[Aratako/Antler-7B-RP](https://huggingface.co/Aratako/Antler-7B-RP)を[senseable/W... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": ["soramikaduki/Antler-RP-ja-westlake-chatvector", "soramikaduki/Starling-RP-ja-westlake-chatvector"]} | soramikaduki/StarAntler-RP-WestLake-chatvector | null | [
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"mistral",
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"license:apache-2... | null | 2024-04-18T07:21:52+00:00 | [
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#transformers #safetensors #mistral #text-generation #mergekit #merge #not-for-all-audiences #ja #arxiv-2311.03099 #arxiv-2306.01708 #base_model-soramikaduki/Antler-RP-ja-westlake-chatvector #base_model-soramikaduki/Starling-RP-ja-westlake-chatvector #license-apache-2.0 #autotrain_compatible #endpoints_compatible ... | StarAntler-RP-WestLake-chatvector
=================================
This is a merge of pre-trained language models created using mergekit.
このモデルはChatVector手法を用いてNSFW手法を強化したモデル2つをマージさせたモデルです。
まず、1つ目のモデルはChatVector手法を使用して、Aratrakoさん制作のAratako/Antler-7B-RPをsenseable/WestLake-7B-v2を用いてNSFW能力を強化しています。
2つ目のモデルも同様にAratrak... | [
"### Merge Method\n\n\nThis model was merged using the DARE TIES merge method using soramikaduki/Antler-RP-ja-westlake-chatvector as a base.",
"### Models Merged\n\n\nThe following models were included in the merge:\n\n\n* soramikaduki/Starling-RP-ja-westlake-chatvector",
"### Configuration\n\n\nThe following Y... | [
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null | null |
# <a name="introduction"></a> KeyBERTVi - Keyword Extraction for Vietnamese language
Inspired by [KeyBERT](https://github.com/MaartenGr/KeyBERT), KeyBERTVi implements a similar keyword extraction technique that leverages the embeddings of [PhoBERT](https://huggingface.co/vinai/phobert-base) and minimal linguistics ... | {"language": ["vi"], "tags": ["keyword-extraction"]} | tpha4308/keyword-extraction-viet | null | [
"keyword-extraction",
"vi",
"region:us"
] | null | 2024-04-18T07:22:40+00:00 | [] | [
"vi"
] | TAGS
#keyword-extraction #vi #region-us
|
# <a name="introduction"></a> KeyBERTVi - Keyword Extraction for Vietnamese language
Inspired by KeyBERT, KeyBERTVi implements a similar keyword extraction technique that leverages the embeddings of PhoBERT and minimal linguistics properties to extract keywords and keyphrases that are most similar to the document.
... | [
"# <a name=\"introduction\"></a> KeyBERTVi - Keyword Extraction for Vietnamese language\n\nInspired by KeyBERT, KeyBERTVi implements a similar keyword extraction technique that leverages the embeddings of PhoBERT and minimal linguistics properties to extract keywords and keyphrases that are most similar to the doc... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-large_ArLAMA
This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on ... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "xlm-roberta-large_ArLAMA", "results": []}]} | AfnanTS/xlm-roberta-large_ArLAMA | null | [
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|
# xlm-roberta-large_ArLAMA
This model is a fine-tuned version of xlm-roberta-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
"# xlm-roberta-large_ArLAMA\n\nThis model is a fine-tuned version of xlm-roberta-large on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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null | transformers |
# Alex01837178373/Vikhr-tiny-0.1-Q5_K_M-GGUF
This model was converted to GGUF format from [`Vikhrmodels/Vikhr-tiny-0.1`](https://huggingface.co/Vikhrmodels/Vikhr-tiny-0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](htt... | {"language": ["ru", "en", "zh"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | Alex01837178373/Vikhr-tiny-0.1-Q5_K_M-GGUF | null | [
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|
# Alex01837178373/Vikhr-tiny-0.1-Q5_K_M-GGUF
This model was converted to GGUF format from 'Vikhrmodels/Vikhr-tiny-0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
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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-krillin51 | 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. -->
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-qlora | 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. -->
# results
This model is a fine-tuned version of [laszlokiss27/doodle-dash2](https://huggingface.co/laszlokiss27/doodle-dash2) on a... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "laszlokiss27/doodle-dash2", "model-index": [{"name": "results", "results": []}]} | laszlokiss27/results | null | [
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| results
=======
This model is a fine-tuned version of laszlokiss27/doodle-dash2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7177
* Accuracy: 0.8121
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0008\n* train\\_batch\\_size: 256\n* eval\\_batch\\_size: 256\n* seed: 42\n* distributed\\_type: multi-GPU\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linea... | [
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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:
* [coffie3/0x6](https://huggingface.co/coffie3... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/0x6", "lxsure/Sniper_28"]} | Sumail/Ame12 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffie3/0x6
* lxsure/Sniper_28
### Configuration
The following YAML configurati... | [
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text-generation | transformers | # Alsebay/Nutopia-7B AWQ
- Model creator: [Alsebay](https://huggingface.co/Alsebay)
- Original model: [Nutopia-7B](https://huggingface.co/Alsebay/Nutopia-7B)
## Model Summary
Testing purpose only, seem it not good in Roleplaying 😢
This model was merged using the SLERP merge method.
The following models were inclu... | {"library_name": "transformers", "tags": ["mergekit", "merge", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": ["NurtureAI/neural-chat-7b-v3-1-16k", "NousResearch/Hermes-2-Pro-Mistral-7B"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Supariou... | solidrust/Nutopia-7B-AWQ | null | [
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"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T07:34:42+00:00 | [] | [] | TAGS
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| # Alsebay/Nutopia-7B AWQ
- Model creator: Alsebay
- Original model: Nutopia-7B
## Model Summary
Testing purpose only, seem it not good in Roleplaying
This model was merged using the SLERP merge method.
The following models were included in the merge:
* NurtureAI/neural-chat-7b-v3-1-16k
* NousResearch/Hermes-2-Pro... | [
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text-generation | transformers |
# WestLakeLaser-12B-MoE
WestLakeLaser-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/PrometheusLaser-7B-slerp](https://huggingface.co/allknowingroger/PrometheusLaser-7B... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/PrometheusLaser-7B-slerp", "senseable/WestLake-7B-v2"], "base_model": ["allknowingroger/PrometheusLaser-7B-slerp", "senseable/WestLake-7B-v2"]} | allknowingroger/WestLakeLaser-12B-MoE | null | [
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"lice... | null | 2024-04-18T07:35:40+00:00 | [] | [] | TAGS
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# WestLakeLaser-12B-MoE
WestLakeLaser-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/PrometheusLaser-7B-slerp
* senseable/WestLake-7B-v2
## Configuration
## Usage
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text-generation | transformers | > [!Important]
> Still in experiment
# About this model
Remake [version 2](https://huggingface.co/Alsebay/NarumashiRTS-V2) with safetensor format, more safety and stable method, nothing change too much (base on the model hash). But to be real, in the previous version 2, I used unsafety method to save pretrain model, w... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "Roleplay", "roleplay"], "base_model": "SanjiWatsuki/Kunoichi-DPO-v2-7B"} | Alsebay/NarumashiRTS-7B-V2-1 | null | [
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| > [!Important]
> Still in experiment
# About this model
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fill-mask | transformers |
# Model Card for KartonBERT_base_cased_v1
This is a classic Polish BERT model, trained with MLM task.
It comes with a custom ~38k-tokens BWPT tokenizer. While not ideal,
it performs well on certain downstream tasks and serves as a checkpoint in my work.
## Model Description
- **Developed by:** Bartłomiej Orlik,... | {"language": ["pl"], "license": "gpl-3.0", "pipeline_tag": "fill-mask", "widget": [{"text": "Kartony to inaczej [MASK], kt\u00f3re produkowane s\u0105 z tektury."}]} | OrlikB/KartonBERT_base_cased_v1 | null | [
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|
# Model Card for KartonBERT_base_cased_v1
This is a classic Polish BERT model, trained with MLM task.
It comes with a custom ~38k-tokens BWPT tokenizer. While not ideal,
it performs well on certain downstream tasks and serves as a checkpoint in my work.
## Model Description
- Developed by: Bartłomiej Orlik, URL... | [
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text-generation | transformers | # Alsebay/RainyMotip-2x7B AWQ
- Model creator: [Alsebay](https://huggingface.co/Alsebay)
- Original model: [RainyMotip-2x7B](https://huggingface.co/Alsebay/RainyMotip-2x7B)
## Model Summary
What is it? A 2x7B MoE model for Roleplay(?).
You will occur GPT-like responses sometimes, just skip it and reroll (gacha time... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "moe", "merge"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/RainyMotip-2x7B-AWQ | null | [
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| # Alsebay/RainyMotip-2x7B AWQ
- Model creator: Alsebay
- Original model: RainyMotip-2x7B
## Model Summary
What is it? A 2x7B MoE model for Roleplay(?).
You will occur GPT-like responses sometimes, just skip it and reroll (gacha time). Overall, I think it good enough for Roleplaying.
You may want see this: URL
Thi... | [
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text-generation | transformers | ORIGIGNAL MODEL LINK https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B
exl2 4 bits.
# Merged-Vicuna-RP-Stew-51B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
New pot of stew with some slight seasoning added into the merging r... | {"license": "other", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | Kotokin/Merged-RP-Stew-V2-51B-exl2-4bpw | null | [
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| ORIGIGNAL MODEL LINK URL
exl2 4 bits.
# Merged-Vicuna-RP-Stew-51B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
New pot of stew with some slight seasoning added into the merging recipe. Besides being decent models, Capybara was chosen at a higher percentage for it's gener... | [
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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. -->
# mistral-1713422427
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral-1713422427", "results": []}]} | abdullahfurquan/mistral-1713422427 | null | [
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| mistral-1713422427
==================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7142
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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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:
* [coffie3/0x6](https://huggingface.co/coffie3... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/0x6", "tomaszki/stablelm-37"]} | Sumail/Ame13 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffie3/0x6
* tomaszki/stablelm-37
### Configuration
The following YAML configu... | [
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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": []} | EinsZwo/nlid_mlm_pretrain-fullset-sanitysaveaftertrain | 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-generation | transformers |
# Model Card for Model ID
SOLAR 10.7B model fine-tuned for 1 epoch on Dataricks instruction tuning dataset.
## Model Details
### Model Description
- **Developed by:** Andrew Chahnwoo Park
- **Model type:** [SOLAR](https://arxiv.org/abs/2312.15166)
- **Language(s) (NLP):** English
- **License:** apache-2.0
- **Fine... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["databricks/databricks-dolly-15k"], "pipeline_tag": "text-generation"} | Chahnwoo/SOLAR-10.7B-v1.0-1E-QLoRA-SFT-Test | null | [
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|
# Model Card for Model ID
SOLAR 10.7B model fine-tuned for 1 epoch on Dataricks instruction tuning dataset.
## Model Details
### Model Description
- Developed by: Andrew Chahnwoo Park
- Model type: SOLAR
- Language(s) (NLP): English
- License: apache-2.0
- Finetuned from model: upstage/SOLAR-10.7B-v1.0
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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. -->
# Llama-360M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following re... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Llama-360M", "results": []}]} | ninagroot/Llama-360M-RUN2 | null | [
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| Llama-360M
==========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.1685
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Trai... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# 0.0_ablation_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0_ablation_iter_2](https://huggingface.co/ShenaoZ/0.0_ablat... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0_ablation_iter_2", "model-index": [{"name": "0.0_ablation_iter_3", "results": []}]} | ShenaoZ/00_beta01 | null | [
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|
# 0.0_ablation_iter_3
This model is a fine-tuned version of ShenaoZ/0.0_ablation_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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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": []} | piercemaloney/llemma-7b-v5-finetuned | null | [
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# Model Card for Model ID
## Model Details
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text-to-image | diffusers | # Lize Helesta - NIJISANJI
<Gallery />
## Model description
Lize Helesta From Nijisanji!
Trained on 6 outfits, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Debut... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "score_9, score_8_up, score_7_up, uncensored, source_anime, 1girl, <lora:splizeHelestaXLPony:1> lize1st, hair ornament, blue skirt, white skirt, white jacket, frills", "parameters": {"negati... | Shalie/LizeHelestaPonyXL | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-AstraliteHeart/pony-diffusion-v6 #license-other #region-us
| # Lize Helesta - NIJISANJI
<Gallery />
## Model description
Lize Helesta From Nijisanji!
Trained on 6 outfits, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Debut... | [
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text-to-image | null |
For more info, please refer to https://github.com/vitoplantamura/OnnxStream
| {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | vitoplantamura/stable-diffusion-1.5-onnxstream | null | [
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For more info, please refer to URL
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text-generation | transformers | # Model Card
(image by https://huggingface.co/Kronikus)
### Model Description
Mistral 7B (v0.2) fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersona... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "model_name": "mistral-7b-v0.2-layla-v4", "model_creator": "l3utterfly", "model_type": "mistral", "pipeline_tag": "text-generation"} | Virt-io/mistral-7b-v0.2-layla-v4-GGUF | null | [
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| # Model Card
!image/png
(image by URL
### Model Description
Mistral 7B (v0.2) fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersonation.
The dataset has been pre-processed by doing the following:
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text-generation | transformers | ORIGIGNAL MODEL LINK https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B
Hi, this is the rp-stew-v2 model enlarged up to 120 layers. To be honest, I don't know why, but someone might need it. I'm just testing it myself, compared to the original.
I will post the exl2 quantization of 4 bits soon.
# Merged-Vicu... | {"license": "other", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | Kotokin/Merged-RP-Stew-V2-68B | null | [
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| ORIGIGNAL MODEL LINK URL
Hi, this is the rp-stew-v2 model enlarged up to 120 layers. To be honest, I don't know why, but someone might need it. I'm just testing it myself, compared to the original.
I will post the exl2 quantization of 4 bits soon.
# Merged-Vicuna-RP-Stew-68B
This is a merge of pre-trained language ... | [
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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:
* [tomaszki/stablelm-37](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-37", "Sumail/Ame10"]} | Sumail/Ame14 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-37
* Sumail/Ame10
### Configuration
The following YAML config... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-intentOnly
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on th... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-intentOnly", "results": []}]} | mohits01/phi-2-finetuned-intentOnly | null | [
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#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-finetuned-intentOnly
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 hyperparamete... | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with mixture of attention head and mixture of depth.
Attention l... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv4-1.58bits | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
MoM: Mixture of Mixture
This Model is a first test to combine Jamba architecture with mixture of attention head and mixture of depth.
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text-generation | mlx |
# versae/filiberto-7B-instruct-exp1
This model was converted to MLX format from [`mistralai/Mistral-7B-Instruct-v0.2`](https://hf.co/mistralai/Mistral-7B-Instruct-v0.2) using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) for more details on the ... | {"license": "apache-2.0", "tags": ["finetuned", "mlx"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | versae/filiberto-7B-instruct-exp1 | null | [
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#mlx #safetensors #gguf #mistral #finetuned #text-generation #conversational #license-apache-2.0 #region-us
|
# versae/filiberto-7B-instruct-exp1
This model was converted to MLX format from 'mistralai/Mistral-7B-Instruct-v0.2' using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
### OCR correction
### Stanza identification
| [
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null | null |
# T3qNeuralsynthesis-7B
T3qNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Kukedlc/NeuralSynthesis-7b-v0.4-slerp](https://huggingface.co/Kukedlc/NeuralSynthesis-7b-v0.4-slerp)
## 🧩 Configuration
```yaml
models:
- model: chi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Kukedlc/NeuralSynthesis-7b-v0.4-slerp"]} | automerger/T3qNeuralsynthesis-7B | null | [
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|
# T3qNeuralsynthesis-7B
T3qNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
* Kukedlc/NeuralSynthesis-7b-v0.4-slerp
## Configuration
## Usage
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feature-extraction | 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_bge_ver19
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver19", "results": []}]} | comet24082002/finetuned_bge_ver19 | null | [
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"region:us"
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|
# finetuned_bge_ver19
This model is a fine-tuned version of BAAI/bge-m3 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 f... | [
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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": []}]} | ambasmk/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: 1.8604
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# WestLakeMultiverse-12B-MoE
WestLakeMultiverse-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/Multivers... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "senseable/WestLake-7B-v2"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "senseable/WestLake-7B-v2"]} | allknowingroger/WestLakeMultiverse-12B-MoE | null | [
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"licens... | null | 2024-04-18T08:07:24+00:00 | [] | [] | TAGS
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# WestLakeMultiverse-12B-MoE
WestLakeMultiverse-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* senseable/WestLake-7B-v2
## Configuration
## Usage
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visual-question-answering | transformers |
# Model Card for InternVL-Chat-V1.5
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/D60YzQBIzvoCvLRp2gZ0A.jpeg" alt="Image Description" width="300" height="300" />
</p>
> _Two interns holding hands, symbolizing the integration of InternViT and InternLM._
... | {"license": "mit", "datasets": ["laion/laion2B-en", "laion/laion-coco", "laion/laion2B-multi", "kakaobrain/coyo-700m", "conceptual_captions", "wanng/wukong100m"], "pipeline_tag": "visual-question-answering"} | OpenGVLab/InternVL-Chat-V1-5 | null | [
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"dataset:wann... | null | 2024-04-18T08:07:48+00:00 | [
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=================================
>
> *Two interns holding hands, symbolizing the integration of InternViT and InternLM.*
>
>
>
[InternVL 1.5 Technical Report] [Paper] [GitHub] [Chat Demo] [中文解读]
We introduce InternVL 1.5, an open-source multimodal large la... | [] | [
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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. -->
# gpt2-finetuned-justification-v2
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
## Model... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-finetuned-justification-v2", "results": []}]} | satyanshu404/gpt2-finetuned-justification-v2 | null | [
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| gpt2-finetuned-justification-v2
===============================
This model is a fine-tuned version of [](URL on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
---------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | PhillipGuo/LAT_Unlearned_L8_Eps1_Genericized-PCA_WHP-Labels | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | null | Flan-T5 large finetuned with [GLAM](https://sites.google.com/view/grounding-llms-with-online-rl/) on BabyAI-Text GoToLocal task.
Paper: arxiv.org/abs/2302.02662 | {"license": "mit"} | ClementRomac/llm_gtl_nbr_env_32_Flan_T5large_6-actions | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
LLaMA model trained with LAT on WHP data: defense labels are genericized HP text, adversary labels are accurate next-token HP (same HP sentences as WHP paper).
LAT performed on Layer 8 with Epsilon 1 and all layers after trained wi... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | quirky-lats-at-mats/LAT_Unlearned_L8_Eps1_Genericized-PCA_WHP-Labels | null | [
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|
# Model Card for Model ID
LLaMA model trained with LAT on WHP data: defense labels are genericized HP text, adversary labels are accurate next-token HP (same HP sentences as WHP paper).
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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. -->
# answer
This model is a fine-tuned version of [baichuan-inc/Baichuan2-7B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-7B-C... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "baichuan-inc/Baichuan2-7B-Chat", "model-index": [{"name": "answer", "results": []}]} | hawkling/answer | null | [
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|
# answer
This model is a fine-tuned version of baichuan-inc/Baichuan2-7B-Chat 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
... | [
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text-generation | transformers | # Alsebay/NarumashiRTS-7B-V2-1 AWQ
- Model creator: [Alsebay](https://huggingface.co/Alsebay)
- Original model: [NarumashiRTS-7B-V2-1](https://huggingface.co/Alsebay/NarumashiRTS-7B-V2-1)
## Model Summary
> [!Important]
> Still in experiment
Remake [version 2](https://huggingface.co/Alsebay/NarumashiRTS-V2) with sa... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "Roleplay", "roleplay"], "base_model": "SanjiWatsuki/Kunoichi-DPO-v... | solidrust/NarumashiRTS-7B-V2-1-AWQ | null | [
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| # Alsebay/NarumashiRTS-7B-V2-1 AWQ
- Model creator: Alsebay
- Original model: NarumashiRTS-7B-V2-1
## Model Summary
> [!Important]
> Still in experiment
Remake version 2 with safetensor format, more safety and stable method, nothing change too much (base on the model hash). But to be real, in the previous version 2... | [
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text-generation | transformers |
# Vigalpaca-French-7B-ties
Vigalpaca-French-7B-ties is a merge of the following models:
jpacifico/French-Alpaca-7B-Instruct-beta
bofenghuang/vigostral-7b-chat
base model : jpacifico/French-Alpaca-7B-Instruct-beta
```
## Usage
```python
!pip install -qU transformers accelerate
from transformers import A... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "french", "french-alpaca"], "base_model": ["jpacifico/French-Alpaca-7B-Instruct-beta", "bofenghuang/vigostral-7b-chat"]} | jpacifico/Vigalpaca-French-7B-ties | null | [
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|
# Vigalpaca-French-7B-ties
Vigalpaca-French-7B-ties is a merge of the following models:
jpacifico/French-Alpaca-7B-Instruct-beta
bofenghuang/vigostral-7b-chat
base model : jpacifico/French-Alpaca-7B-Instruct-beta
python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
impor... | [
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text-generation | transformers | # Alsebay/NaruMOE-3x7B-v2 AWQ
- Model creator: [Alsebay](https://huggingface.co/Alsebay)
- Original model: [NaruMOE-3x7B-v2](https://huggingface.co/Alsebay/NaruMOE-3x7B-v2)
## Model Summary
A MoE model for Roleplaying. Since 7B model is small enough, we can combine them to a bigger model (Which CAN be smarter).
Ada... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "merge", "roleplay", "Roleplay", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": ["Alsebay/NarumashiRTS-V2", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "Nitral-AI/KukulStanta-7B"], "pipeline_tag": "text... | solidrust/NaruMOE-3x7B-v2-AWQ | null | [
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"base_model:Alsebay/NarumashiRTS-V2",
"base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"base_model:Nitral-AI/KukulStanta-7B",
... | null | 2024-04-18T08:12:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #merge #roleplay #Roleplay #4-bit #AWQ #autotrain_compatible #endpoints_compatible #base_model-Alsebay/NarumashiRTS-V2 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #base_model-Nitral-AI/KukulStanta-7B #license-cc-by-nc-4.0 #text-generation-inference #region-... | # Alsebay/NaruMOE-3x7B-v2 AWQ
- Model creator: Alsebay
- Original model: NaruMOE-3x7B-v2
## Model Summary
A MoE model for Roleplaying. Since 7B model is small enough, we can combine them to a bigger model (Which CAN be smarter).
Adapte (some limited) TSF (Trans Sexual Fiction) content because I have include my pre-... | [
"# Alsebay/NaruMOE-3x7B-v2 AWQ\n\n- Model creator: Alsebay\n- Original model: NaruMOE-3x7B-v2",
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"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #merge #roleplay #Roleplay #4-bit #AWQ #autotrain_compatible #endpoints_compatible #base_model-Alsebay/NarumashiRTS-V2 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #base_model-Nitral-AI/KukulStanta-7B #license-cc-by-nc-4.0 #text-generation-inference #r... | [
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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": []} | lxsure/Sniper_29 | null | [
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] | null | 2024-04-18T08:13:40+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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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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