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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers | ## About
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<!-- ### convert_type: -->
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weighted/imatrix quants of https://huggingface.co/nitky/Swallow-70b-RP
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static quants are available at https://huggingface.co/mradermacher/Swallow-70b-RP-GGUF
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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
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Provided Quants
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text2text-generation | transformers |
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text2text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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null | transformers |
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-base_seed-3 | null | [
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# Model Card for Model ID
## Model Details
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | null |
# Dolphin-2.8-Mistral-7B-v2 iMatrix Quantizations
This repository contains iMatrix quantizations of the [dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) model. The original model was trained with 16k long context data on top of a newer mistral-7b, enabling it to w... | {"license": "apache-2.0"} | nisten/dolphin-2.8-7b-imatrix-gguf | null | [
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# Dolphin-2.8-Mistral-7B-v2 iMatrix Quantizations
This repository contains iMatrix quantizations of the dolphin-2.8-mistral-7b-v02 model. The original model was trained with 16k long context data on top of a newer mistral-7b, enabling it to work well with up to 32k context.
The iMatrix file was generated using the ... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-large_seed-2 | 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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-large_seed-3 | null | [
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null | null | This is a very small uncased tokenizer for the [non-ascii version of TinyStories](https://huggingface.co/datasets/tdooms/TinyStories), based on the [original TinyStories dataset](https://huggingface.co/datasets/roneneldan/TinyStories). I use a WordPiece tokenizer with a vocabulary of 2048.
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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": []} | nninjun/gpt2-xl-lora-stereoset-qa-v1 | null | [
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## 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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-3b_seed-1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | This is a very small uncased tokenizer for the [non-ascii version of TinyStories](https://huggingface.co/datasets/tdooms/TinyStories), based on the [original TinyStories dataset](https://huggingface.co/datasets/roneneldan/TinyStories). I use a WordPiece tokenizer with a vocabulary of 4096.
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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 [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Llama-2-7b-hf", "arcee-ai/Patent-Base-7b", "microsoft/Orca-2-7b"]} | arcee-ai/Patent-Base-Orca-2-7B-Ties | null | [
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... | null | 2024-04-05T21:53:26+00:00 | [
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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 NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
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text-generation | null |
# Mistral 7B Instruct v0.2 - GGUF
- Model creator: [Mistral AI_](https://huggingface.co/mistralai)
- Original model: [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct f... | {"license": "apache-2.0", "tags": ["finetuned"], "model_name": "Mistral 7B Instruct v0.2", "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model_creator": "Mistral AI_"... | Migtito/mistral-7b-instruct-v0.2-gguf | null | [
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|
# Mistral 7B Instruct v0.2 - GGUF
- Model creator: Mistral AI_
- Original model: Mistral 7B Instruct v0.2
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-3b_seed-2 | null | [
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# Model Card for Model ID
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text-to-image | diffusers | # Grewver
<Gallery />
## Download model
[Download](/kobyakov76/grewce_78/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/1645904775_5-vsegda-pomnim-com-p-oblaka-sverkhu-foto-5.jpg"}}], "base_model": "ByteDance/SDXL-Lightning"} | kobyakov76/grewce_78 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #region-us
| # Grewver
<Gallery />
## Download model
Download them in the Files & versions tab.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-3b_seed-3 | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/rotten_tomatoes_t5-11b_seed-1 | null | [
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fill-mask | 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": []} | RKN222/dummy-model | null | [
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image-classification | null |
# WOW Spell Identifier
This model is a specialized image classification model trained to identify World of Warcraft (WoW) spell images. It accepts a 56x56 pixel image as input and outputs the probabilities for various spell IDs.
## Model Description
The WOW Spell Identifier is designed to assist gamers by automatin... | {"license": "mit", "pipeline_tag": "image-classification"} | lhemerly/wow_spell_id | null | [
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"license:mit",
"region:us"
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#image-classification #license-mit #region-us
|
# WOW Spell Identifier
This model is a specialized image classification model trained to identify World of Warcraft (WoW) spell images. It accepts a 56x56 pixel image as input and outputs the probabilities for various spell IDs.
## Model Description
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NeverSleep/MiquMaid-v3-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MiquMaid-v3-70... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "merge"], "base_model": "NeverSleep/MiquMaid-v3-70B", "quantized_by": "mradermacher"} | mradermacher/MiquMaid-v3-70B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Hakeem750/t5-know-sql-generation | 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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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": []} | ManiWavelabs/phi2_version2_10epoch | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sft-Mistral-7B-v0.2-on-memory_dialoges
This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "alpindale/Mistral-7B-v0.2-hf", "model-index": [{"name": "sft-Mistral-7B-v0.2-on-memory_dialoges", "results": []}]} | ghost613/sft-Mistral-7B-v0.2-on-memory_dialoges | null | [
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| sft-Mistral-7B-v0.2-on-memory\_dialoges
=======================================
This model is a fine-tuned version of alpindale/Mistral-7B-v0.2-hf on the None dataset.
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* Loss: 0.5401
Model description
-----------------
More information needed
Intended u... | [
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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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | nasiruddin15/Neural-grok-dolphin-Mistral-7B | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Nasir uddin]
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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. -->
# checkpoints
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# checkpoints
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## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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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. -->
# vi_en_mt5-base_docs_news_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "vi_en_mt5-base_docs_news_train", "results": []}]} | yuufong/vi_en_mt5-base_docs_news_train | null | [
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|
# vi_en_mt5-base_docs_news_train
This model is a fine-tuned version of google/mt5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/s22 | null | [
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text-generation | null |
## Llamacpp Quantizations of Qwen1.5-32B-Chat
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen1.5-32B-Chat
Download a file (not the whole bran... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Qwen1.5-32B-Chat-GGUF | null | [
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| Llamacpp Quantizations of Qwen1.5-32B-Chat
------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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text-generation | transformers |
# Model Card for Model ID
A chat finetune using the Intel/orca_dpo_pairs dataset
## 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 generated.
-... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["conversational"], "datasets": ["Intel/orca_dpo_pairs"], "pipeline_tag": "text-generation"} | jambroz/sixtyoneeighty-7b-dpo | null | [
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# Model Card for Model ID
A chat finetune using the Intel/orca_dpo_pairs dataset
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text-generation | transformers | # Qwen1.5-32B-Chat-4.0bpw-exl2
This is a 4.0bpw quantized version of [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) made with [exllamav2](https://github.com/turboderp/exllamav2).
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distributed ... | {"license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE"} | DrNicefellow/Qwen1.5-32B-Chat-4bpw-exl2 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Qwen1.5-32B-Chat-4.0bpw-exl2
This is a 4.0bpw quantized version of Qwen/Qwen1.5-32B-Chat made with exllamav2.
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distributed under the Tongyi Qianwen LICENSE AGREEMENT. See the LICENSE file for more information.
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text-generation | transformers | # Qwen1.5-32B-Chat-5.0bpw-exl2
This is a 5.0bpw quantized version of [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) made with [exllamav2](https://github.com/turboderp/exllamav2).
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distributed ... | {"license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE"} | DrNicefellow/Qwen1.5-32B-Chat-5bpw-exl2 | null | [
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| # Qwen1.5-32B-Chat-5.0bpw-exl2
This is a 5.0bpw quantized version of Qwen/Qwen1.5-32B-Chat made with exllamav2.
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distributed under the Tongyi Qianwen LICENSE AGREEMENT. See the LICENSE file for more information.
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text-generation | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code2
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuserconten... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code2"} | mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code3 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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null | null | # _test__2810825673
## Model Description
_test__2810825673 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the dataset for this model... | {} | florianhoenicke/_test__2810825673 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-12 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | raf-madrigal/gemma-2b-marketing-test | null | [
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# Model Card for Model ID
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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": []} | pyupeu/robertuito-peruvian-sentiment | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-12-a | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet-base-cased-disaster-twitter
This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xl... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlnet/xlnet-base-cased", "model-index": [{"name": "xlnet-base-cased-disaster-twitter", "results": []}]} | JiaJiaCen/xlnet-base-cased-disaster-twitter | null | [
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| xlnet-base-cased-disaster-twitter
=================================
This model is a fine-tuned version of xlnet/xlnet-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5119
* F1: 0.7805
Model description
-----------------
More information needed
Intended uses &... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-12-b | null | [
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text-generation | transformers |
# flammen16-chinese-DPO-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [Wenbo Pan](https://huggingface.co/wenbopan)'s [Chinese DPO Pairs](https://huggingface.co/datasets/wenbopan/Chinese-dpo-... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["experimental"], "datasets": ["wenbopan/Chinese-dpo-pairs"], "base_model": ["nbeerbower/flammen16-mistral-7B"]} | nbeerbower/flammen16-chinese-dpo-mistral-7B | null | [
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|
!image/png
# flammen16-chinese-DPO-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on Wenbo Pan's Chinese DPO Pairs.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence.
Please note this is an experimental model and is not recommended for product... | [
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null | null | EXL2 quants of [c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
[2.50 bits per weight](https://huggingface.co/turboderp/command-r-plus-103B-exl2/tree/2.5bpw)
[3.00 bits per weight](https://huggingface.co/turboderp/command-r-plus-103B-exl2/tree/3.0bpw)
[3.25 bits per weight](https:/... | {} | turboderp/command-r-plus-103B-exl2 | null | [
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#region-us
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6.00 bits per weight
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-en
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the P... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["PolyAI/minds14"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-en", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "P... | danielgh/whisper-tiny-en | null | [
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| whisper-tiny-en
===============
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6626
* Wer Ortho: 0.3270
* Wer: 0.3288
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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 [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["chargoddard/internlm2-7b-llama", "arcee-ai/Patent-Base-7b", "NousResearch/Llama-2-7b-hf"]} | arcee-ai/Patent-Base-InternLM2-7B-Ties | 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 NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
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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": []} | OwOpeepeepoopoo/thatstheone1 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edgar404/donut-sroie-shared-lora-r8_exp | null | [
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# Model Card for Model ID
## Model Details
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object-detection | 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": []} | Anoguera/Esquistosomiasis_DORA | null | [
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|
# Model Card for Model ID
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text-classification | adapter-transformers | 63.08 <- Average 61.77 <- ARC 76.35 <- HellaSwag 56.23 <- MMLU 53 <- TruthfulQA 75.85 <- Winogrande 55.27 <- GSM8K | {"license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["netcat420/MFANN"], "pipeline_tag": "text-classification"} | netcat420/MFANN3bv0.2-GGUF | null | [
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#adapter-transformers #gguf #text-classification #dataset-netcat420/MFANN #license-apache-2.0 #region-us
| 63.08 <- Average 61.77 <- ARC 76.35 <- HellaSwag 56.23 <- MMLU 53 <- TruthfulQA 75.85 <- Winogrande 55.27 <- GSM8K | [] | [
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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": []} | khairi/ProtNLA_decoder_t6_55M | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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. -->
# whisper-large-v2-yi
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "whisper-large-v2-yi", "results": []}]} | KevinKibe/whisper-large-v2-yi | null | [
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|
# whisper-large-v2-yi
This model is a fine-tuned version of openai/whisper-large-v2 on the common_voice_16_1 dataset.
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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": []} | hrangel/MistralFineTuningSQL | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | D3STRON/multi_genre_music_generator | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle43 | null | [
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text-generation | transformers |
Intuitively it seemed like LISA training should suit a MoE pretty well; though I don't know how well calibrated my intuitions are.
Interesting thing about this one is it looks like it wasn't converging at the end of one epoch. Still more to learn.
Nous capabilities:
| Model ... | {"license": "cc", "tags": ["generated_from_trainer"], "base_model": "Lambent/cosmoem-4x1b", "model-index": [{"name": "lisa-out", "results": []}]} | Lambent/CosMoEAlpacaLisa-4x1b | null | [
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| Intuitively it seemed like LISA training should suit a MoE pretty well; though I don't know how well calibrated my intuitions are.
Interesting thing about this one is it looks like it wasn't converging at the end of one epoch. Still more to learn.
Nous capabilities:
Comparisons:
<img src="URL alt="Built wi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle44 | null | [
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"text-generation",
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# mlx-community/gemma-1.1-7b-it-4bit
This model was converted to MLX format from [`google/gemma-1.1-7b-it`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/google/gemma-1.1-7b-it) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from ... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, ... | mlx-community/gemma-1.1-7b-it-4bit | null | [
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|
# mlx-community/gemma-1.1-7b-it-4bit
This model was converted to MLX format from ['google/gemma-1.1-7b-it']() using mlx-lm version 0.7.0.
Refer to the original model card for more details on the model.
## Use with mlx
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feature-extraction | transformers | # florian-function-run_9062874564
## Model Description
florian-function-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
Thi... | {} | florianhoenicke/florian-function-run_9062874564 | null | [
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"safetensors",
"bert",
"feature-extraction",
"custom_code",
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"region:us"
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#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # florian-function-run_9062874564
## Model Description
florian-function-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
Thi... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | daedalus16/bart-M2b-insights | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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null | trl |
# Weni/WeniGPT-Agents-Mixstral-Instruct-3.0.1-KTO
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: KTO with Agents 1.2.0 dataset and Mixstral model with tokeniz... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "Weni/WeniGPT-Agents-Mixstral-Instruct-3.0.1-KTO", "results": []}]} | Weni/WeniGPT-Agents-Mixtral-3.0.0-KTO | null | [
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|
# Weni/WeniGPT-Agents-Mixstral-Instruct-3.0.1-KTO
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
Description: KTO with Agents 1.2.0 dataset and Mixstral model with tokenization zephyr chat te... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/digitous/13B-Chimera
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a w... | {"language": ["en"], "library_name": "transformers", "tags": ["llama", "cot", "vicuna", "uncensored", "merge", "mix", "gptq"], "base_model": "digitous/13B-Chimera", "quantized_by": "mradermacher"} | mradermacher/13B-Chimera-GGUF | null | [
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#transformers #gguf #llama #cot #vicuna #uncensored #merge #mix #gptq #en #base_model-digitous/13B-Chimera #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 |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | ERDAG/repo_4 | null | [
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #has_space #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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sentence-similarity | sentence-transformers |
## 0xnu/pmmlv2-fine-tuned-yoruba
Yoruba fine-tuned LLM using [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2).
[Yoruba](https://en.wikipedia.org/wiki/Yoruba_language) words typically consist of various combinations of vo... | {"language": ["multilingual", "ar", "bg", "ca", "cs", "da", "de", "el", "en", "es", "et", "fa", "fi", "fr", "gl", "gu", "he", "hi", "hr", "hu", "hy", "id", "it", "ja", "ka", "ko", "ku", "lt", "lv", "mk", "mn", "mr", "ms", "my", "nb", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sq", "sr", "sv", "th", "tr", "uk", "ur", "v... | 0xnu/pmmlv2-fine-tuned-yoruba | null | [
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## 0xnu/pmmlv2-fine-tuned-yoruba
Yoruba fine-tuned LLM using sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2.
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text-generation | transformers |
# Mistral-portuguese-luana-7b-Mathematics
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana-math.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
Luana Mathematics is a tuned model of the Luana-7b based on the Mistral 7b ar... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["portuguese", "math", "mathematics", "matematica"], "datasets": ["rhaymison/orca-math-portuguese-64k"], "base_model": "rhaymison/Mistral-portuguese-luana-7b", "pipeline_tag": "text-generation", "model-index": [{"name": "Mistral-portu... | rhaymison/Mistral-portuguese-luana-7b-Mathematics | null | [
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"autotrain_compat... | null | 2024-04-05T23:13:55+00:00 | [] | [
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=======================================
Luana Mathematics is a tuned model of the Luana-7b based on the Mistral 7b architecture.
This Model has been fine-tuned with 64k math problems and solutions derived from Microsoft's Orca-Math.
How to use
==========
... | [
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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": []} | solakim/Doug-Mistral-Chat | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | pdejong/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 8.0bpw
This is a 8.0bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_8.0bpw | null | [
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| Merged-RP-Stew-V2-34B - EXL2 8.0bpw
===================================
This is a 8.0bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
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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 [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["chargoddard/internlm2-7b-llama", "arcee-ai/Patent-Instruct-7b", "NousResearch/Llama-2-7b-hf"]} | arcee-ai/Patent-Instruct-Internlm2-7B-Ties | null | [
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"safetensors",
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"arxiv:2306.01708",
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"base_model:NousResearch/Llama-2-7b-hf",
"autotrain_compatible",
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"text-generation... | null | 2024-04-05T23:21:38+00:00 | [
"2306.01708"
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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 NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* chargoddard/internlm2-7b-llama
* arcee-... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# TrOCR-SIN
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following res... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "TrOCR-SIN", "results": []}]} | kavg/TrOCR-SIN | null | [
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"has_space",
"region:us"
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#transformers #safetensors #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #has_space #region-us
| TrOCR-SIN
=========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Cer: 0.2343
* Loss: 0.6859
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 97000\n* mixe... | [
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text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_7.0bpw | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"7-bit",
"region:us"
] | null | 2024-04-05T23:23:29+00:00 | [] | [] | TAGS
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| Merged-RP-Stew-V2-34B - EXL2 7.0bpw
===================================
This is a 7.0bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | piggyss/bert-finetuned-ner | null | [
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"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T23:25:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0618
* Precision: 0.9333
* Recall: 0.9497
* F1: 0.9414
* Accuracy: 0.9863
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_6.0bpw | null | [
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] | null | 2024-04-05T23:28:26+00:00 | [] | [] | TAGS
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| Merged-RP-Stew-V2-34B - EXL2 6.0bpw
===================================
This is a 6.0bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
"### Chat-Vicuna Template\n\n\nThis is the Chat-Vicuna template yaml that was used in EQ bench. It was tested in Text Generation Web UI and seemed to produce accurate results.",
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text-generation | transformers |
This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not g... | {"license": "mit"} | Josephgflowers/Tinyllama-1.5B-Cinder-Test-3 | null | [
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|
This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not g... | [] | [
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null | transformers | # DistilBERT Fine-tuned on MeDAL Dataset for Medical Abbreviation Disambiguation
## Introduction
This repository hosts a DistilBERT model that has been fine-tuned on the MeDAL dataset, a comprehensive dataset designed for the disambiguation of medical abbreviations to enhance natural language understanding (NLU) in t... | {"license": "mit"} | jamesliounis/MeDistilBERT | null | [
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"pytorch",
"tf",
"bert",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T23:31:51+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #bert #license-mit #endpoints_compatible #region-us
| # DistilBERT Fine-tuned on MeDAL Dataset for Medical Abbreviation Disambiguation
## Introduction
This repository hosts a DistilBERT model that has been fine-tuned on the MeDAL dataset, a comprehensive dataset designed for the disambiguation of medical abbreviations to enhance natural language understanding (NLU) in t... | [
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text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_5.0bpw | null | [
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| Merged-RP-Stew-V2-34B - EXL2 5.0bpw
===================================
This is a 5.0bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
"### Chat-Vicuna Template\n\n\nThis is the Chat-Vicuna template yaml that was used in EQ bench. It was tested in Text Generation Web UI and seemed to produce accurate results.",
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text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 4.5bpw
This is a 4.5bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_4.5bpw | null | [
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| Merged-RP-Stew-V2-34B - EXL2 4.5bpw
===================================
This is a 4.5bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
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text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 4.0bpw
This is a 4.0bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_4.0bpw | null | [
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-05T23:41:31+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #roleplay #exl2 #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Merged-RP-Stew-V2-34B - EXL2 4.0bpw
===================================
This is a 4.0bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
"### Chat-Vicuna Template\n\n\nThis is the Chat-Vicuna template yaml that was used in EQ bench. It was tested in Text Generation Web UI and seemed to produce accurate results.",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base Thai
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the... | {"language": ["th"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base Thai", "results": [{"task": {"type": "automatic-speech-recognition", "n... | arun100/whisper-base-th-1 | null | [
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"base_model:openai/whisper-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:u... | null | 2024-04-05T23:44:13+00:00 | [] | [
"th"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #th #dataset-mozilla-foundation/common_voice_16_0 #base_model-openai/whisper-base #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Base Thai
=================
This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common\_voice\_16\_0 th dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4390
* Wer: 44.5601
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hre 4.3 - male and female voice - 600 steps, metric CER, skip_special_tokens False
This model is a fine-tuned ver... | {"language": ["hre"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ntviet/Hre-audio-dataset4"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hre 4.3 - male and female voice - 600 steps, metric CER, skip_special_tokens False", "results": []}]} | ntviet/whisper-small-hre4.3 | null | [
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"whisper",
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"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"hre"
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#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset4 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Small Hre 4.3 - male and female voice - 600 steps, metric CER, skip\_special\_tokens False
==================================================================================================
This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 4 dataset.
It achieves the following... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedule... | [
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text-generation | transformers |
# Merged-RP-Stew-V2-34B - EXL2 3.5bpw
This is a 3.5bpw EXL2 quant of [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)
Details about the model and the merge info can be found at the above mode page.
## EXL2 Version
These quants were made with exllamav2 version 0.0... | {"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"} | Dracones/Merged-RP-Stew-V2-34B_exl2_3.5bpw | null | [
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"not-for-all-audiences",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T23:45:31+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #roleplay #exl2 #not-for-all-audiences #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Merged-RP-Stew-V2-34B - EXL2 3.5bpw
===================================
This is a 3.5bpw EXL2 quant of ParasiticRogue/Merged-RP-Stew-V2-34B
Details about the model and the merge info can be found at the above mode page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.17. Quants made ... | [
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text-generation | transformers |
# mlx-community/gemma-1.1-2b-it-4bit
This model was converted to MLX format from [`google/gemma-1.1-2b-it`](https://huggingface.co/google/gemma-1.1-2b-it) using mlx-lm version **0.6.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/googl... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, ... | mlx-community/gemma-1.1-2b-it-4bit | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mlx",
"conversational",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T23:46:03+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mlx #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/gemma-1.1-2b-it-4bit
This model was converted to MLX format from 'google/gemma-1.1-2b-it' using mlx-lm version 0.6.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/gemma-1.1-2b-it-4bit\nThis model was converted to MLX format from 'google/gemma-1.1-2b-it' using mlx-lm version 0.6.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712360860248x295000294283747500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["TheAkiramaster/NeonWallpeper"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712360860248x295000294283747500 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:TheAkiramaster/NeonWallpeper",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-05T23:48:22+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-TheAkiramaster/NeonWallpeper #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712360860248x295000294283747500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712360860248x295000294283747500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-TheAkiramaster/NeonWallpeper #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1712360860248x295000294283747500\nThese are LoRA adaption weights for stabilityai/sta... | [
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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. -->
# hb_3
This model is a fine-tuned version of [samhitmantrala/hb_2](https://huggingface.co/samhitmantrala/hb_2) on an unknown datas... | {"license": "afl-3.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "samhitmantrala/hb_2", "model-index": [{"name": "hb_3", "results": []}]} | Utkarsh03/hb_3 | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:samhitmantrala/hb_2",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T23:53:07+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-samhitmantrala/hb_2 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us
| hb\_3
=====
This model is a fine-tuned version of samhitmantrala/hb\_2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0446
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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null | null |
# rinaldow/RasGulla1-7b-Q5_K_M-GGUF
This model was converted to GGUF format from [`AbacusResearch/RasGulla1-7b`](https://huggingface.co/AbacusResearch/RasGulla1-7b) 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://hu... | {"language": "en", "license": "mit", "tags": ["finetuned", "vendor-names", "zip-codes", "cities", "llama-cpp", "gguf-my-repo"], "datasets": ["your_dataset_name"]} | rinaldow/RasGulla1-7b-Q5_K_M-GGUF | null | [
"gguf",
"finetuned",
"vendor-names",
"zip-codes",
"cities",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:your_dataset_name",
"license:mit",
"region:us"
] | null | 2024-04-05T23:53:57+00:00 | [] | [
"en"
] | TAGS
#gguf #finetuned #vendor-names #zip-codes #cities #llama-cpp #gguf-my-repo #en #dataset-your_dataset_name #license-mit #region-us
|
# rinaldow/RasGulla1-7b-Q5_K_M-GGUF
This model was converted to GGUF format from 'AbacusResearch/RasGulla1-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# rinaldow/RasGulla1-7b-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'AbacusResearch/RasGulla1-7b' 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-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. -->
# bert-large-mnli
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the GLUE MN... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-mnli", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MN... | Cheng98/bert-large-mnli | null | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"base_model:bert-large-cased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T23:54:32+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #base_model-bert-large-cased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# bert-large-mnli
This model is a fine-tuned version of bert-large-cased on the GLUE MNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9132
- Accuracy: 0.8614
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
"# bert-large-mnli\n\nThis model is a fine-tuned version of bert-large-cased on the GLUE MNLI dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.9132\n- Accuracy: 0.8614",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
... | [
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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. -->
# vi_en_mt5-base_half_doc_news_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "vi_en_mt5-base_half_doc_news_train", "results": []}]} | yuufong/vi_en_mt5-base_half_doc_news_train | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/mt5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T23:56:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# vi_en_mt5-base_half_doc_news_train
This model is a fine-tuned version of google/mt5-base 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 hyp... | [
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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": []} | Yasusan/test_llama2_v2_2 | null | [
"transformers",
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"llama",
"text-generation",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Ashwinatgsk/mistral_instruct_generation | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
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"region:us"
] | null | 2024-04-05T23:58:08+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2642
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\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: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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null | null |
# rinaldow/RasGulla1-7b-Q6_K-GGUF
This model was converted to GGUF format from [`AbacusResearch/RasGulla1-7b`](https://huggingface.co/AbacusResearch/RasGulla1-7b) 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... | {"language": "en", "license": "mit", "tags": ["finetuned", "vendor-names", "zip-codes", "cities", "llama-cpp", "gguf-my-repo"], "datasets": ["your_dataset_name"]} | rinaldow/RasGulla1-7b-Q6_K-GGUF | null | [
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|
# rinaldow/RasGulla1-7b-Q6_K-GGUF
This model was converted to GGUF format from 'AbacusResearch/RasGulla1-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Not... | [
"# rinaldow/RasGulla1-7b-Q6_K-GGUF\nThis model was converted to GGUF format from 'AbacusResearch/RasGulla1-7b' 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 |
## MiquMaid v3
Check out our blogpost about this model series [Here!](https://ikaridevgit.github.io/index.html?blog=blogid-6&bo=true#Miqu-base) - Join our Discord server [Here!](https://discord.gg/Bb8pRUXy3Z)
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | blockblockblock/MiquMaid-v3-70B-bpw2.5 | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-05T23:59:10+00:00 | [
"2403.19522"
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|
## MiquMaid v3
Check out our blogpost about this model series Here! - Join our Discord server Here!
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Alpaca prompting format
Model trained for RP conversation on Miqu-70B with our magic sa... | [
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text-generation | transformers |
# Satyr-7B-Model_Stock
Satyr-7B-Model_Stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: NeverSleep/Noromaid-7B-0.4-DPO
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
- mod... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"], "model-index": [{"name": "Satyr-7B-Model_Stock", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "... | DreadPoor/Satyr-7B-Model_Stock | null | [
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"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"license:apache-2.0",
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Satyr-7B-Model\_Stock
=====================
Satyr-7B-Model\_Stock is a merge of the following models using LazyMergekit:
Configuration
-------------
Usage
-----
Open LLM Leaderboard Evaluation Results
=======================================
Detailed results can be found here
| [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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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... | lucaspedrajas/ppo-LunarLander-v0 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-06T00:06:54+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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. -->
# vi_en_mt5-base_news_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "vi_en_mt5-base_news_train", "results": []}]} | yuufong/vi_en_mt5-base_news_train | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/mt5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T00:10:53+00:00 | [] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# vi_en_mt5-base_news_train
This model is a fine-tuned version of google/mt5-base 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 hyperparamet... | [
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"## Intended uses & limitations\n\nMore information needed",
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"## Training procedure"... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-sst2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE SST2 ... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-sst2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE SST2... | Cheng98/bert-base-sst2 | null | [
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"text-classification",
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"en",
"dataset:glue",
"base_model:bert-base-cased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T00:12:02+00:00 | [] | [
"en"
] | TAGS
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|
# bert-base-sst2
This model is a fine-tuned version of bert-base-cased on the GLUE SST2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4602
- Accuracy: 0.9151
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluat... | [
"# bert-base-sst2\n\nThis model is a fine-tuned version of bert-base-cased on the GLUE SST2 dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4602\n- Accuracy: 0.9151",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"... | [
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