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null | mlx |
# mlx-community/dolphin-2.9-llama3-8b-8bit-mlx
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
## Use with... | {"license": "other", "tags": ["generated_from_trainer", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-p... | mlx-community/dolphin-2.9-llama3-8b-8bit-mlx | null | [
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# mlx-community/dolphin-2.9-llama3-8b-8bit-mlx
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
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null | transformers |
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zero-shot-image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# clip-vit-large-patch14-336
This model was trained from scratch on an unknown dataset.
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# clip-vit-large-patch14-336
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More information needed
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More information needed
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text-generation | transformers |
# Model Card for Model ID
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text-to-image | diffusers |
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<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4
This model is a fine-tuned vers... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4 | null | [
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======================================================================================================
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null | transformers |
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# art-des-bert-large-cased
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-large-cased", "model-index": [{"name": "art-des-bert-large-cased", "results": []}]} | bencyc1129/art-des-bert-large-cased | null | [
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| art-des-bert-large-cased
========================
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-----------------
More information needed
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null | mlx |
# voxmenthe/dolphin-2.9-llama3-8b-mlx-unquantized
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
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# voxmenthe/dolphin-2.9-llama3-8b-mlx-unquantized
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | bencyc1129/art-des-gpt2-large | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberTron_Ultra_SFT
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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberTron_Ultra_SFT"} | LeroyDyer/Mini_Merge_CyberChild | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- 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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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. -->
# finetuned-BrainTumor
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-BrainTumor", "results": []}]} | Dharamanand/finetuned-BrainTumor | null | [
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| finetuned-BrainTumor
====================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the BrainTumorMRI dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0769
* Accuracy: 0.9763
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\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: 2",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_1ep_1.5e-6
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_1ep_1.5e-6", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_1ep_1.5e-6 | null | [
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] | null | 2024-04-21T07:29:48+00:00 | [] | [] | TAGS
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_1ep_1.5e-6
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-of-Realms-7b-Instruct", "results": []}]} | Akila/Mistral-of-Realms-7b-Instruct-gguf | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
Mistral-of-Realms-7b-Instruct
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
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sentence-similarity | sentence-transformers |
# average_word_embeddings_glove.6B.300d
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have ... | {"license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | cicero-ai/average_word_embeddings_glove.6B.300d-rust | null | [
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# average_word_embeddings_glove.6B.300d
This is a sentence-transformers model: It maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers ins... | [
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text-generation | transformers |
# Model Card for Model ID
### Model Description
- base model : beomi/llama-2-koen-13b
- dataset : crawling
## 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: hi000000
- Fu... | {"language": ["ko", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["music"]} | hi000000/insta_user2_llama2-koen | null | [
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# Model Card for Model ID
### Model Description
- base model : beomi/llama-2-koen-13b
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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 |
<!-- 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_sample3_4iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample3_4iters_iter_1](https:... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample3_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample3_4iters_iter_1", "model-index": [{"name": "0.0_ablation_sample3_4iters_iter_2", "results": ... | ZhangShenao/0.0_ablation_sample3_4iters_iter_2 | null | [
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"license:mit",
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# 0.0_ablation_sample3_4iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample3_4iters_iter_1 on the ZhangShenao/0.0_ablation_sample3_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
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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-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | yukky777/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2701
* Accuracy: 0.9145
* F1: 0.9139
Model description
-----------------
Mo... | [
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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": []} | chriztopherton/mistral-2-7b_qlora_falcon_420_try_1 | 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": []} | lattavia/Mistral-7b-chat-finetune-final-v2 | null | [
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text-generation | transformers |
<p align="center" style="margin:0;padding:0">
<img src="llama3-8b-dutch-banner.jpeg" alt="Llama 3 dutch banner" width="400" height="400"/>
</p>
<div style="margin:auto; text-align:center">
<h1 style="margin-bottom: 0">Llama 3 8B - Dutch</h1>
<em>A conversational model for Dutch, based on Llama 3 8B</em>
<p><em><a h... | {"language": ["nl"], "license": "llama3", "tags": ["ORPO", "llama 3 8B", "conversational"], "datasets": ["BramVanroy/ultra_feedback_dutch"], "base_model": "meta-llama/Meta-Llama-3-8B", "pipeline_tag": "text-generation", "model-index": [{"name": "ReBatch/Llama-3-8B-dutch", "results": []}]} | ReBatch/Llama-3-8B-dutch | null | [
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|
Llama 3 8B - Dutch
==================
*A conversational model for Dutch, based on Llama 3 8B*
*<a href="URL chatting with the model!</a>*
This model is a QLORA and ORPO fine-tuned version of meta-llama/Meta-Llama-3-8B on the synthetic feedback dataset BramVanroy/ultra\_feedback\_d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 8e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* num\\_devices: 1\n* gradient\\_accumulation\\_steps: 4\n* optimizer: paged\\_adamw\\_8bit\n* lr\\_scheduler\\_type: linear\n* warmup\\_ste... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_2ep_1.5e-6
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_2ep_1.5e-6", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_2ep_1.5e-6 | null | [
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_2ep_1.5e-6
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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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": ["unsloth"]} | Glacierz/llama3_8b_han | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
ItalIA is a LLM trained for the Italian language and based on Llama3-8b.
## Model Details
### Model Description
ItalIA is a state-of-the-art language model specifically trained for the Italian language using unsloth, leveraging... | {"language": ["it"], "library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | MethosPi/llama3-8b-italIA-unsloth-merged | null | [
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text-generation | transformers |
# Synatra-11B-L3-v1
## Model Description
Llama 3 11B attenuated 모델에 40만개 이상의 한국어, 영어 채팅 데이터를 학습시킨 모델입니다. More Details Soon.
채팅 템플릿은 라마3 Chat 형식을 따릅니다.
## License
https://llama.meta.com/llama3/license/
## Thanks to
- 기반 모델을 제공해주신, [Jisoo Kim (kuotient)](https://huggingface.co/kuotient)
- A100 클러스터를 제공해주신, [Sioni... | {"license": "other", "license_name": "llama3", "base_model": ["kuotient/Llama-3-11B-Instruct-attenuated"]} | maywell/Llama-3-Synatra-11B-v1 | null | [
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|
# Synatra-11B-L3-v1
## Model Description
Llama 3 11B attenuated 모델에 40만개 이상의 한국어, 영어 채팅 데이터를 학습시킨 모델입니다. More Details Soon.
채팅 템플릿은 라마3 Chat 형식을 따릅니다.
## License
URL
## Thanks to
- 기반 모델을 제공해주신, Jisoo Kim (kuotient)
- A100 클러스터를 제공해주신, Sionic AI
## Contact
- Discord Server Link | [
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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. -->
# Marathi_ASR_using_xlsr_wav2vec
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "Marathi_ASR_using_xlsr_wav2vec", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogni... | PolyChirag/Marathi_ASR_using_xlsr_wav2vec | null | [
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| Marathi\_ASR\_using\_xlsr\_wav2vec
==================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7582
* Wer: 0.7181
Model description
-----------------
More informat... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
LlamaGuard-7b - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-... | {} | RichardErkhov/meta-llama_-_LlamaGuard-7b-4bits | null | [
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| Quantization made by Richard Erkhov.
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LlamaGuard-7b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_pro... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-of-Realms-7b-Instruct-v0.2", "results": []}]} | Akila/Mistral-of-Realms-7b-Instruct-v0.2-gguf | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
Mistral-of-Realms-7b-Instruct-v0.2
==================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speaker_task
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| speaker\_task
=============
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0429
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-to-image | diffusers |
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null | transformers |
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text-generation | transformers |
# Model Card for Model ID
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | ancebuc/grapes-segmentation | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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null | adapter-transformers |
# Adapter `ltuzova/classification_tapt_seqbn_adapter_full_train` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifica... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | ltuzova/classification_tapt_seqbn_adapter_full_train | null | [
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|
# Adapter 'ltuzova/classification_tapt_seqbn_adapter_full_train' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ins... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_3ep_1.5e-6
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_3ep_1.5e-6", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_3ep_1.5e-6 | null | [
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_3ep_1.5e-6
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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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": []} | ntvcie/gemma2bVinh02 | 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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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. -->
# vit-base-beans
This model is a fine-tuned version of [BruceSuperProgrammer/vit-base-beans](https://huggingface.co/BruceSuperProg... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BruceSuperProgrammer/vit-base-beans", "model-index": [{"name": "vit-base-beans", "results": []}]} | BruceSuperProgrammer/vit-base-beans | null | [
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|
# vit-base-beans
This model is a fine-tuned version of BruceSuperProgrammer/vit-base-beans on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4090
- Accuracy: 0.7143
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trai... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
### Direct Use
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("health360/Sehty360-llama-3-8b-arabic-health-instruct")
model = AutoModelF... | {"language": ["ar"], "library_name": "transformers"} | health360/Sehty360-llama-3-8b-arabic-health-instruct | null | [
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# Model Card for Model ID
### Direct Use
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("health360/Sehty360-llama-3-8b-arabic-health-instruct")
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/plkx33n | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** HeshamHaroon
- **License:** apache-2.0 | {"language": ["en", "ar"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["Yasbok/Alpaca_arabic_instruct"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | HeshamHaroon/Arabic-llama3 | null | [
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# Uploaded model
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text-generation | transformers |
# Llama3 from 8B to 12B
We created a model from other cool models to combine everything into one cool model.
## Model Details
### Model Description
- **Developed by:** [@ehristoforu](https://huggingface.co/ehristoforu)
- **Model type:** Text Generation (conversational)
- **Language(s) (N... | {"language": ["en", "ru"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama", "llama3", "llama3-12b", "instruct", "merge"], "datasets": ["mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha", "tatsu-lab/alpaca", "vicgalle/configurable-system-prompt-multitask", "IlyaGusev/ru_turbo_saiga", "IlyaGuse... | ehristoforu/llama-3-12b-instruct | null | [
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# Llama3 from 8B to 12B
!logo
We created a model from other cool models to combine everything into one cool model.
## Model Details
### Model Description
- Developed by: @ehristoforu
- Model type: Text Generation (conversational)
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null | keras |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# mindmate-f3-spatialdiaries-cascade-cont-1-64
This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/ber... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-german-cased", "model-index": [{"name": "mindmate-f3-spatialdiaries-cascade-cont-1-64", "results": []}]} | spneshaei/mindmate-f3-spatialdiaries-cascade-cont-1-64 | null | [
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|
# mindmate-f3-spatialdiaries-cascade-cont-1-64
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
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text-generation | transformers |
# Model Card for Mistral-7B-v0.1
The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release ... | {"language": ["en"], "license": "apache-2.0", "tags": ["pretrained"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | MaziyarPanahi/Mistral-7B-v0.1 | null | [
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"text-generation-inference",
"region:us"
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#transformers #safetensors #mistral #text-generation #pretrained #en #arxiv-2310.06825 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Mistral-7B-v0.1
The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
For full details of this model please read our paper and release blog post.
## Model Architecture
Mi... | [
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null | null |
License: https://llama.meta.com/llama3/license
240421: Bellman's back!
This is a preliminary test run, run on mostly the same settings and dataset as bellman-mistral-instruct (But not the dpo pass). Context length is 3072.
I've done some basic testing, and it's not a total mess. Whether it's an improvement to llama-3... | {"language": ["sv"], "license": "llama3", "tags": ["unsloth"], "datasets": ["neph1/bellman-7b-finetune"]} | neph1/llama-3-instruct-bellman-8b-swe-preview | null | [
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"region:us"
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#gguf #unsloth #sv #dataset-neph1/bellman-7b-finetune #license-llama3 #region-us
|
License: URL
240421: Bellman's back!
This is a preliminary test run, run on mostly the same settings and dataset as bellman-mistral-instruct (But not the dpo pass). Context length is 3072.
I've done some basic testing, and it's not a total mess. Whether it's an improvement to llama-3-instruct, I'm not sure, because t... | [] | [
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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_sample1_4iters_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_iter_3](https:... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample1_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_iter_3", "model-index": [{"name": "0.0_ablation_sample1_4iters_iter_4", "results": ... | ZhangShenao/0.0_ablation_sample1_4iters_iter_4 | null | [
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"base_model:ZhangShenao/0.0_ablation_sample1_4iters_iter_3",
"license:mit",
"autotrain_compa... | null | 2024-04-21T08:34:30+00:00 | [] | [] | TAGS
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# 0.0_ablation_sample1_4iters_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_iter_3 on the ZhangShenao/0.0_ablation_sample1_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/ponyRealism_v10 | null | [
"diffusers",
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"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-21T08:34:52+00:00 | [
"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
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null | null |
# heimberglee/XVERSE-13B-256K-Q4_K_M-GGUF
This model was converted to GGUF format from [`xverse/XVERSE-13B-256K`](https://huggingface.co/xverse/XVERSE-13B-256K) 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://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "inference": false} | heimberglee/XVERSE-13B-256K-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# heimberglee/XVERSE-13B-256K-Q4_K_M-GGUF
This model was converted to GGUF format from 'xverse/XVERSE-13B-256K' 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:
... | [
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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... | jeliasherrero/PPO-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-21T08:36:45+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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] |
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. -->
# amazon_helpfulness_classification_seqbn_tapt_full_train_add_adapter
This model is a fine-tuned version of [roberta-base](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_seqbn_tapt_full_train_add_adapter", "results": []}]} | ltuzova/amazon_helpfulness_classification_seqbn_tapt_full_train_add_adapter | null | [
"tensorboard",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"region:us"
] | null | 2024-04-21T08:36:56+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #base_model-roberta-base #license-mit #region-us
| amazon\_helpfulness\_classification\_seqbn\_tapt\_full\_train\_add\_adapter
===========================================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3051
* Accuracy: 0.8778... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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text-generation | transformers | ## **Aurora_l3_8B**
[exllamav2](https://github.com/turboderp/exllamav2) quant for [ResplendentAI/Aurora_l3_8B](https://huggingface.co/ResplendentAI/Aurora_l3_8B)
**Original model information:**
# Aurora
![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/3RA96iXR7sDvNmnTyIcIP.p... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama3"], "base_model": ["ResplendentAI/Aurora_l3_8B"], "inference": false} | Slvcxc/Aurora_l3_8B-8.0bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama3",
"conversational",
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"base_model:ResplendentAI/Aurora_l3_8B",
"license:apache-2.0",
"autotrain_compatible",
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"8-bit",
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| ## Aurora_l3_8B
exllamav2 quant for ResplendentAI/Aurora_l3_8B
Original model information:
# Aurora
!image/png
A more poetic offering with a focus on perfecting the quote/asterisk RP format. I have strengthened the creative writing training.
Make sure your example messages and introduction are formatted cirrectly.... | [
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text2text-generation | transformers | ## MaxMini-Instruct-248M
# Overview
MaxMini-Instruct-248M is a T5 (Text-To-Text Transfer Transformer) model Instruct fine-tuned on a variety of tasks. This model is designed to perform a range of instruction tasks.
## Model Details
- Model Name: MaxMini-Instruct-248M
- Model Type: T5 (Text-To-Text Transfer Transformer... | {"license": "mit", "datasets": ["databricks/databricks-dolly-15k", "VMware/open-instruct"], "widget": [{"example_title": "Question Answering!", "text": "Please Answer the Question: what is depression?"}, {"example_title": "Other Example!", "text": "Please Answer the Question: How to bake a cake?"}, {"example_title": "O... | suriya7/MaxMini-Instruct-248M | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"dataset:databricks/databricks-dolly-15k",
"dataset:VMware/open-instruct",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T08:38:33+00:00 | [] | [] | TAGS
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| ## MaxMini-Instruct-248M
# Overview
MaxMini-Instruct-248M is a T5 (Text-To-Text Transfer Transformer) model Instruct fine-tuned on a variety of tasks. This model is designed to perform a range of instruction tasks.
## Model Details
- Model Name: MaxMini-Instruct-248M
- Model Type: T5 (Text-To-Text Transfer Transformer... | [
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sentence-similarity | sentence-transformers |
# sentence-transformers/msmarco-distilbert-base-v4
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy whe... | {"license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | cicero-ai/msmarco-distilbert-base-v4-rust | null | [
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"feature-extraction",
"sentence-similarity",
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"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
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"1908.10084"
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#sentence-transformers #pytorch #tf #rust #safetensors #distilbert #feature-extraction #sentence-similarity #transformers #arxiv-1908.10084 #license-apache-2.0 #endpoints_compatible #region-us
|
# sentence-transformers/msmarco-distilbert-base-v4
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-trans... | [
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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/sc55 | 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 Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) generative text model using a variety of publicly available conversation datasets.
For full details of this mod... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | MaziyarPanahi/Mistral-7B-Instruct-v0.1 | null | [
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# Model Card for Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets.
For full details of this model please read our paper and release blog post.
## ... | [
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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": []} | Haoxiang-Wang/RewardModel-Mistral-7B-for-DPA-v1 | 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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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. -->
# xddModel
This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ukr-models/xlm-roberta-base-uk", "model-index": [{"name": "xddModel", "results": []}]} | pushokay/xddModel | null | [
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| xddModel
========
This model is a fine-tuned version of ukr-models/xlm-roberta-base-uk on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1495
* Precision: 0.8533
* Recall: 0.8819
* F1: 0.8674
* Accuracy: 0.9625
Model description
-----------------
More information needed
I... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_medical_bios_5000_4ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_medical_bios_5000_4ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_medical_bios_5000_4ep | null | [
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|
# Mistral-7B-Instruct-v0.2_medical_bios_5000_4ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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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": []} | vessl/llama3-ko-4bit | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MODEL_EPOCHS_D2_testcase
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "MODEL_EPOCHS_D2_testcase", "results": []}]} | LLMLover/MODEL_EPOCHS_D2_testcase | null | [
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# MODEL_EPOCHS_D2_testcase
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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. -->
# full_bert
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following resul... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "full_bert", "results": []}]} | morten-j/full_bert | null | [
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| full\_bert
==========
This model is a fine-tuned version of [](URL on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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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": []} | davidataka/bank_model_2 | 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": []} | chiawei0411/blip2-opt-2.7b-646-220k-captions-flickr | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistralv1_spectral_r4_1e-5_e5
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r4_1e-5_e5", "results": []}]} | fangzhaoz/mistralv1_spectral_r4_1e-5_e5 | null | [
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|
# mistralv1_spectral_r4_1e-5_e5
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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 ... | [
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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": []} | 0x0grandpa0/amnesia | 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 |
# 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": []} | Imcf1Y3FSatM/weblab-10b-neo-len2048-250iteration | 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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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_4ep_1.5e-6
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_4ep_1.5e-6", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_4ep_1.5e-6 | null | [
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] | null | 2024-04-21T08:50:54+00:00 | [] | [] | TAGS
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_4ep_1.5e-6
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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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": []} | fangzhaoz/mistralv1_spectral_r4_1e-5_e5_merged | 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 |
# 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.
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
- Rope-theta = 1e6
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|
# 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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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": []} | nem012/gemma2b-r1 | 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-shivi-cheques_qlora_r16 | 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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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. -->
# bert2bert-model99-last-Xtreme-Train
This model is a fine-tuned version of [Alfahluzi/bert2bert-model99-last](https://huggingface... | {"tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "base_model": "Alfahluzi/bert2bert-model99-last", "model-index": [{"name": "bert2bert-model99-last-Xtreme-Train", "results": []}]} | Alfahluzi/bert2bert-model99-last-Xtreme-Train | null | [
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| bert2bert-model99-last-Xtreme-Train
===================================
This model is a fine-tuned version of Alfahluzi/bert2bert-model99-last on the id\_liputan6 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8449
* R1 Precision: 0.3481
* R1 Recall: 0.3462
* R1 Fmeasure: 0.3448
* R2 Pr... | [
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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": []} | vegaandre/InsideStoryOfPoliceMissionKhaki | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** karsar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | karsar/Llama-3-8B-TUZ | null | [
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|
# Uploaded model
- Developed by: karsar
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-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. -->
# clasificador-rotten-tomatoes
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "clasificador-rotten-tomatoes", "results": []}]} | lauragordo/clasificador-rotten-tomatoes | null | [
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"has_space",
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#transformers #tensorboard #safetensors #bert #text-classification #classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| clasificador-rotten-tomatoes
============================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8457
* Accuracy: 0.8452
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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null | null |
# DavidAU/storytime-13b-Q8_0-GGUF
This model was converted to GGUF format from [`chargoddard/storytime-13b`](https://huggingface.co/chargoddard/storytime-13b) 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://huggingf... | {"language": ["en"], "license": "llama2", "tags": ["llama", "llama-cpp", "gguf-my-repo"]} | DavidAU/storytime-13b-Q8_0-GGUF | null | [
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#gguf #llama #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/storytime-13b-Q8_0-GGUF
This model was converted to GGUF format from 'chargoddard/storytime-13b' 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:... | [
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text-generation | Gen AI |
# 🦙🧠 guanaco-llama2-1k
<center><img src="https://i.imgur.com/1IZmjU4.png" width="300"></center>
This is a `Llama-2-7b-chat-hf` model fine-tuned using QLoRA (4-bit precision) on the [`mlabonne/guanaco-llama2-1k`](https://huggingface.co/datasets/mlabonne/guanaco-llama2-1k) dataset, which is a subset of the [`tim... | {"language": ["en"], "license": "apache-2.0", "library_name": "Gen AI", "tags": ["code", "finance", "medical"], "datasets": ["mlabonne/guanaco-llama2-1k"], "metrics": ["accuracy", "code_eval"], "pipeline_tag": "text-generation"} | Stanlito/llama-2-7b-stanlito | null | [
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"license:apache-2.0",
"region:us"
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|
# guanaco-llama2-1k
<center><img src="https://i.URL width="300"></center>
This is a 'Llama-2-7b-chat-hf' model fine-tuned using QLoRA (4-bit precision) on the 'mlabonne/guanaco-llama2-1k' dataset, which is a subset of the 'timdettmers/openassistant-guanaco'.
## Training
It was trained on a Google Colab noteb... | [
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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": []} | Imcf1Y3FSatM/weblab-10b-neo-len4096-700iteration | null | [
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] | null | 2024-04-21T09:01:37+00:00 | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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#arxiv-1910.09700 #region-us
| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window4_more_data_b4
This model is a fine-tuned vers... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window4_more_data_b4", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window4_more_data_b4 | null | [
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#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num\_frame\_10\_myViT2window4\_more\_data\_b4
======================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieve... | [
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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... | MalumaDev/PPO_LunarLander-v2_test | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-21T09:04:28+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-to-image | diffusers | ### CUHKSZ-老南门 on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the CUHKSZ-老南门 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<老南门> building**
You can also train your own concepts and upload them to the ... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | HenryZeng/cuhksz-lao-nan-men | null | [
"diffusers",
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#diffusers #safetensors #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### CUHKSZ-老南门 on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the CUHKSZ-老南门 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the 'instance_prompt': <老南门> building
You can also train your own concepts and upload them to the libr... | [
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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. -->
# my_awesome_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "my_awesome_mind_model", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "minds14", ... | stevehoang9/my_awesome_mind_model | null | [
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| my\_awesome\_mind\_model
========================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6653
* Accuracy: 0.0354
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [Stable Diffusion API](http://stablediffusionapi.com/), No Payment needed.
Replace Key in below code, change **model_id** to "jugger... | {"license": "creativeml-openrail-m", "tags": ["stablediffusionapi.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/juggernaut-xl-rundiffusion | null | [
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|
# API Inference
!generated from URL
## Get API Key
Get API key from Stable Diffusion API, No Payment needed.
Replace Key in below code, change model_id to "juggernaut-xl-rundiffusion"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model l... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | redmojo7/llama-3-8b-it-finetune-palo-alto-network | null | [
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"region:us"
] | null | 2024-04-21T09:07:24+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/all_5483_all_8657_bart-base_rl | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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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-HUGGINGFACE
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "DISTILBERT-IMDB-HUGGINGFACE", "results": []}]} | ysphang/DISTILBERT-IMDB-HUGGINGFACE | null | [
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|
# DISTILBERT-IMDB-HUGGINGFACE
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4106
- Accuracy: 0.9107
- F1: 0.9103
## Model description
More information needed
## Intended uses & limitations
More information ... | [
"# DISTILBERT-IMDB-HUGGINGFACE\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4106\n- Accuracy: 0.9107\n- F1: 0.9103",
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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. -->
# stablelm-2-1_6b-sft-full
This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/... | {"license": "other", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "stabilityai/stablelm-2-1_6b", "model-index": [{"name": "stablelm-2-1_6b-sft-full", "results": []}]} | nnheui/stablelm-2-1_6b-sft-full | null | [
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"endpoin... | null | 2024-04-21T09:09:22+00:00 | [] | [] | TAGS
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|
# stablelm-2-1_6b-sft-full
This model is a fine-tuned version of stabilityai/stablelm-2-1_6b on the HuggingFaceH4/ultrachat_200k dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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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... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["netcat420/MFANN"], "pipeline_tag": "text-classification"} | netcat420/MFANN3bv0.5 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# results
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended u... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "results", "results": []}]} | ysphang/results | null | [
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|
# results
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters w... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | kuchidareo/detr | null | [
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More informat... | [
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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": []} | OmarSamehSaid/LLM-CXR-v1 | null | [
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
For full details of this model please read our [release blog post](https://mistral.ai/news/mixtral-of-experts/).
## War... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | MaziyarPanahi/Mixtral-8x7B-v0.1 | null | [
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#transformers #safetensors #mixtral #text-generation #moe #fr #it #de #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
For full details of this model please read our release blog post.
## Warning
This repo contains weights that are compat... | [
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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... | nguyenmuoi157/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-04-21T09:26:06+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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] |
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. -->
# MODEL_EPOCHS_C2_testcase
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "MODEL_EPOCHS_C2_testcase", "results": []}]} | LLMLover/MODEL_EPOCHS_C2_testcase | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:NousResearch/Llama-2-7b-hf",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-NousResearch/Llama-2-7b-hf #region-us
|
# MODEL_EPOCHS_C2_testcase
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
The following ... | [
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