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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": []} | dmcooller/neural-matia-ft-2 | null | [
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# Model Card for Model ID
## Model Details
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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. -->
# secllama
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "secllama", "results": []}]} | LauraExp/secllama | null | [
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# secllama
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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": []} | justinlyli/bart_cnn_2400 | 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": []} | sravaniayyagari/feb28-apr03-dup-new-tuned-model | null | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# FYP_sq2_mrqa
This model is a fine-tuned version of [deepset/deberta-v3-base-squad2](https://huggingface.co/deepset/deberta-v3-ba... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/deberta-v3-base-squad2", "model-index": [{"name": "FYP_sq2_mrqa", "results": []}]} | kxx-kkk/FYP_sq2_mrqa_overfitting_dontUse | null | [
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| FYP\_sq2\_mrqa
==============
This model is a fine-tuned version of deepset/deberta-v3-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2207
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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. -->
# xlm-roberta-large-guardrail-toxicity-classifier-training
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](ht... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "xlm-roberta-large-guardrail-toxicity-classifier-training", "results": []}]} | jamesoneill12/xlm-roberta-large-guardrail-toxicity-classifier-training | null | [
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|
# xlm-roberta-large-guardrail-toxicity-classifier-training
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset.
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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": []} | hossam1981/Jais-13b-GPTQ | 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": []} | justinlyli/bart_cnn_3000 | null | [
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text-generation | transformers | <!-- header start -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HuggingFaceH4-zephyr-7b-alpha-bnb-8bit-smashed | null | [
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![Twitter](URL
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feature-extraction | transformers |
A multilingual BERGAMOT model with pre-trained on UMLS (version 2020AB) using a Graph Attention Network (GAT) encoder.
The model is described in paper "Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer " which is accepted to NAACL 2024!
For pretraining code see our github: [https://gi... | {"language": ["en", "es", "fr", "nl", "de", "fi", "ru", "tr", "ko", "zh", "ja", "th", "pt", "it", "sv", "hu", "pl", "et", "hr", "uk", "el", "da", "he"], "tags": ["biomedical", "bionlp", "entity linking", "embedding", "bert"]} | andorei/BERGAMOT-multilingual-GAT | null | [
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|
A multilingual BERGAMOT model with pre-trained on UMLS (version 2020AB) using a Graph Attention Network (GAT) encoder.
The model is described in paper "Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer " which is accepted to NAACL 2024!
For pretraining code see our github: URL
Please... | [] | [
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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": []} | mssfj/fj-0403wiki1m0.125B_ft | 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": []} | clam004/phi-1-5-emo | 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. -->
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question-answering | null | # Model Card for Finetuned Mistral-7B on Orca Math Word Problems
<!-- Provide a quick summary of what the model is/does. -->
Ce modèle est une version du Mistral-7B finement entraînée avec la technique QLoRA (Low-Rank Adaptation) sur le jeu de données Orca-Math Word Problems pour résoudre des problèmes mathématiques ... | {"language": ["en"], "license": "apache-2.0", "datasets": ["microsoft/orca-math-word-problems-200k"], "metrics": ["accuracy"], "pipeline_tag": "question-answering"} | jeanflop/Mistral_Orcas_7B | null | [
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text-generation | transformers |
# Model Card for C4AI Command R+
🚨 **This model is non-quantized version of C4AI Command R+. You can find the quantized version of C4AI Command R+ using bitsandbytes [here](https://huggingface.co/CohereForAI/c4ai-command-r-plus-4bit)**.
## Model Summary
C4AI Command R+ is an open weights research release of a 104... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | CohereForAI/c4ai-command-r-plus | null | [
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| Model Card for C4AI Command R+
==============================
This model is non-quantized version of C4AI Command R+. You can find the quantized version of C4AI Command R+ using bitsandbytes here.
Model Summary
-------------
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/princeton-nlp-Sheared-LLaMA-1.3B-bnb-4bit-smashed | null | [
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text-generation | transformers |
<p align="center">
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-7B-Instruct-v0.1-AWQ
This repo contains AWQ format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-7B-Instruct-v0.1](https://huggingface.co/speakleash/Bielik-7B-In... | {"language": ["pl"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["finetuned", "autoquant", "awq"], "inference": false} | speakleash/Bielik-7B-Instruct-v0.1-AWQ | null | [
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<p align="center">
<img src="URL
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# Bielik-7B-Instruct-v0.1-AWQ
This repo contains AWQ format model files for SpeakLeash's Bielik-7B-Instruct-v0.1.
<b><u>DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!</u></b><br>
Simple Colab notebook for testing: URL
#... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SOUMYADEEPSAR/roberta_transfer2 | 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": []} | 0x0son0/ml_1 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 |
# Quantum-Citrus-9B
This merge is another attempt at making and intelligent, refined and unaligned model.
Based on my tests so far, it has accomplished the goals, and I am continuing to experiment... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "not-for-all-audiences"], "base_model": ["ABX-AI/Cerebral-Infinity-7B", "ABX-AI/Starfinite-Laymospice-v2-7B"], "model-index": [{"name": "Quantum-Citrus-9B", "results": [{"task": {"type": "text-generation", "name": "Text Genera... | ABX-AI/Quantum-Citrus-9B | null | [
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| !image/png
Quantum-Citrus-9B
=================
This merge is another attempt at making and intelligent, refined and unaligned model.
Based on my tests so far, it has accomplished the goals, and I am continuing to experiment with my interactions with it.
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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. -->
# persian-tweets-embeddings
This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "HooshvareLab/bert-base-parsbert-uncased", "model-index": [{"name": "persian-tweets-embeddings", "results": []}]} | kamyar-mroadian/persian-tweets-embeddings | null | [
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| persian-tweets-embeddings
=========================
This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8415
Model description
-----------------
More information needed
Intended uses & limitations... | [
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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": []} | abcfd/gpt_0.125B_global_step200_openassistant | 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 | # IceLemonTeaRP-32k-7b-4.2bpw-h6-exl2
4.2bpw-h6-exl2 quant of [icefog72/IceLemonTeaRP-32k-7b](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b)
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kunokukulemo... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": ["icefog72/Kunokukulemonchini-32k-7b", "icefog72/Mixtral_AI_Cyber_3.m1-BigL", "LeroyDyer/Mixtral_AI_Cyber_3.m1", "Undi95/BigL-7B"]} | icefog72/IceLemonTeaRP-32k-7b-4.2bpw-h6-exl2 | null | [
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4.2bpw-h6-exl2 quant of icefog72/IceLemonTeaRP-32k-7b
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
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* Mixtral_AI_Cyber_3.m1-BigL
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null | null | Original model: Finnish-NLP/llama-7b-finnish-v2
300k step checkpoint | {} | kyynaama/llama-7b-finnish-v2.gguf | null | [
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#gguf #region-us
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/fxmarty-really-tiny-falcon-testing-bnb-4bit-smashed | null | [
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![Twitter](URL
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text-generation | transformers |
<p align="center">
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-7B-Instruct-v0.1-GPTQ
This repo contains GPTQ format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-7B-Instruct-v0.1](https://huggingface.co/speakleash/Bielik-7B-... | {"language": ["pl"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["finetuned", "autoquant", "gptq"], "inference": false} | speakleash/Bielik-7B-Instruct-v0.1-GPTQ | null | [
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|
<p align="center">
<img src="URL
</p>
# Bielik-7B-Instruct-v0.1-GPTQ
This repo contains GPTQ format model files for SpeakLeash's Bielik-7B-Instruct-v0.1.
<b><u>DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!</u></b><br>
Simple Colab notebook for testing: URL
... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/fxmarty-really-tiny-falcon-testing-bnb-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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null | null |
## Oppai Loli
Recommended prompt:
```
oppai loli, huge breasts, large breasts,
```
Recommended LoRA weight: `0.8`
### v1 Release:
- **v1_AnyLoRA** is trained on AnyLoRA - Checkpoint (https://civitai.com/models/23900?modelVersionId=95489)
- **v1_HassakuHentaiModelV1.3** is trained on Hassaku (hentai model) v1.3 (htt... | {"license": "unknown"} | knifeayumu/oppai_loli | null | [
"license:unknown",
"region:us"
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#license-unknown #region-us
|
## Oppai Loli
Recommended prompt:
Recommended LoRA weight: '0.8'
### v1 Release:
- v1_AnyLoRA is trained on AnyLoRA - Checkpoint (URL
- v1_HassakuHentaiModelV1.3 is trained on Hassaku (hentai model) v1.3 (URL
- v1_NovelAI is trained on NovelAI's SD 1.5 finetune model (5bde442da86265b670a3e5ea3163afad2c6f8ecc)
###... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | robins80/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8800
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | albaraamakt/code-search-net-tokenizer | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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. -->
# coref-mem-small
This model is a fine-tuned version of [eddieman78/coref-mem-small](https://huggingface.co/eddieman78/coref-mem-s... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "eddieman78/coref-mem-small", "model-index": [{"name": "coref-mem-small", "results": []}]} | eddieman78/coref-mem-small | null | [
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|
# coref-mem-small
This model is a fine-tuned version of eddieman78/coref-mem-small on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.02586853690445423
f1_macro: 0.990657441189161
f1_micro: 0.9938922820655192
f1_weighted: 0.9939035669908675
precision_macro: 0.9889770605232528
precision_micro: 0.9938922820655192
precision_weighted: 0.99392831762... | {"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-kno3k-fiasf/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "exam... | GuntramG/autotrain-kno3k-fiasf | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
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null | transformers | # GGUF / IQ / Imatrix for [Quantum-Citrus-9B](https://huggingface.co/ABX-AI/Quantum-Citrus-9B)
**Why Importance Matrix?**
**Importance Matrix**, at least based on my testing, has shown to improve th... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "mistral", "not-for-all-audiences"], "base_model": ["ABX-AI/Cerebral-Infinity-7B", "ABX-AI/Starfinite-Laymospice-v2-7B"], "model-index": [{"name": "Quantum-Citrus-9B", "results": [{"task": {"type": "text-generation", "name": "Text Genera... | ABX-AI/Quantum-Citrus-9B-GGUF-IQ-Imatrix | null | [
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| GGUF / IQ / Imatrix for Quantum-Citrus-9B
=========================================
!image/png
Why Importance Matrix?
Importance Matrix, at least based on my testing, has shown to improve the output and performance of "IQ"-type quantizations, where the compression becomes quite heavy.
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image-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": []} | henry-heppe/finetuned_convnextv2 | null | [
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text-generation | transformers |
# Starfinite-Laymospice-v2-7B
A mix of Starling, InfinityRP, LemonadeRP, and TheSpice, as well as Infinitely Laydiculous.
## Merge Details
This is a merge of pre-trained language models created us... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ABX-AI/Starfinite-Laymons-7B", "ABX-AI/Spicy-Lemonade-v2-7B"]} | ABX-AI/Starfinite-Laymospice-v2-7B | null | [
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|
!image/png
# Starfinite-Laymospice-v2-7B
A mix of Starling, InfinityRP, LemonadeRP, and TheSpice, as well as Infinitely Laydiculous.
## Merge Details
This is a merge of pre-trained language models created using mergekit.
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
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": []} | justinlyli/t5_base_1800 | null | [
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text-generation | transformers | <!-- header start -->
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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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null | transformers |
# Uploaded model
- **Developed by:** michelebasilico
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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": []} | justinlyli/t5_base_2400 | null | [
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# Model Card for Model ID
## Model Details
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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. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | dconte76/my_awesome_eli5_mlm_model | null | [
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| my\_awesome\_eli5\_mlm\_model
=============================
This model is a fine-tuned version of distilroberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0390
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** michelebasilico
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | michelebasilico/ITACA_Mistral7b_QLora_v4_16bit | 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. -->
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/U-Amethyst-20B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. F... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/U-Amethyst-20B", "quantized_by": "mradermacher"} | mradermacher/U-Amethyst-20B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-labeledsbc
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on th... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-labeledsbc", "results": []}]} | mohits01/phi-2-finetuned-labeledsbc | null | [
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|
# phi-2-finetuned-labeledsbc
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/mlabonne/Beyonder-4x7B-v3
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Beyonder-4x7B-v3-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit"], "base_model": "mlabonne/Beyonder-4x7B-v3", "quantized_by": "mradermacher"} | mradermacher/Beyonder-4x7B-v3-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
### EXL2 Quantized Version of : [Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5](https://huggingface.co/Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5)
# Datacard for Custom Trained Model
- Base Model : [Kukedlc/NeuralExperiment-7b-dare-ties](https://huggingface.co/Kukedlc/NeuralExperiment-7b-dare-ties)
## Model Desc... | {"license": "apache-2.0", "datasets": ["microsoft/orca-math-word-problems-200k", "ise-uiuc/Magicoder-Evol-Instruct-110K", "Vezora/Tested-22k-Python-Alpaca"]} | kisimoff/NeuralExperiment-7b-MagicCoder-v7.5_exl2_5bpw | null | [
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"license:apache-2.0",
"autotrain_compatible",
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|
### EXL2 Quantized Version of : Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5
# Datacard for Custom Trained Model
- Base Model : Kukedlc/NeuralExperiment-7b-dare-ties
## Model Description
This model is an experimental AI trained on three distinct datasets focusing on logical reasoning, mathematics, and programmin... | [
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"## Model Description\nThis model is an experimental AI trained on three distinct datasets focusing on logical reasoning, mathematics, and ... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cvt-w24-384-22k-finetuned-LeafBack-v1
This model is a fine-tuned version of [microsoft/cvt-w24-384-22k](https://huggingface.co/m... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/cvt-w24-384-22k", "model-index": [{"name": "cvt-w24-384-22k-finetuned-LeafBack-v1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset... | b07611031/cvt-w24-384-22k-finetuned-LeafBack-v1 | null | [
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"endpoints_compatible",
"region:us"
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|
# cvt-w24-384-22k-finetuned-LeafBack-v1
This model is a fine-tuned version of microsoft/cvt-w24-384-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0009
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information... | [
"# cvt-w24-384-22k-finetuned-LeafBack-v1\n\nThis model is a fine-tuned version of microsoft/cvt-w24-384-22k on the imagefolder dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0009\n- Accuracy: 1.0",
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null | null |
# reach-vb/gemma-1.1-2b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-2b-it`](https://huggingface.co/gg-hf/gemma-1.1-2b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-2b-it-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-03T14:03:18+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-2b-it-Q4_K_M-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-2b-it' 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 | 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": []} | 0x0mom/sl3 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T14:03:43+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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... | joslinthomas/ppo-LunarLander-v2 | null | [
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"deep-reinforcement-learning",
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|
# ppo Agent playing LunarLander-v2
This is a trained model of a ppo agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers |
# 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": []} | ashishp-wiai/vit-base-patch16-224-in21k-LoRA-CottonPestClassification_v3a_os | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
---
base_model: /Users/dawn/git/models/Mistral-7B-Instruct-v0.2
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive... | {"license": "apache-2.0"} | dawn17/MistarlingMaid-2x7B-base | null | [
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|
---
```
base_model: /Users/dawn/git/models/Mistral-7B-Instruct-v0.2
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive_prompts:
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text-generation | transformers |
# Uploaded model
- **Developed by:** michelebasilico
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | michelebasilico/ITACA_Mistral7b_QLora_v4_4bit | null | [
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|
# Uploaded model
- Developed by: michelebasilico
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# empathy_model_apr3
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "empathy_model_apr3", "results": []}]} | vtiyyal1/empathy_model_apr3 | null | [
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"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T14:07:48+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| empathy\_model\_apr3
====================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0044
* Mse: 0.0044
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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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. -->
# quality_model_apr3
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "quality_model_apr3", "results": []}]} | vtiyyal1/quality_model_apr3 | null | [
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| quality\_model\_apr3
====================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0117
* Mse: 0.0117
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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null | null |
# StreamingT2V
**[StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text](https://arxiv.org/abs/2403.14773)**
</br>
Roberto Henschel,
Levon Khachatryan,
Daniil Hayrapetyan,
Hayk Poghosyan,
Vahram Tadevosyan,
Zhangyang Wang, Shant Navasardyan, Humphrey Shi
</br>
[arXiv preprint](https://a... | {} | PAIR/StreamingT2V | null | [
"arxiv:2403.14773",
"has_space",
"region:us"
] | null | 2024-04-03T14:07:57+00:00 | [
"2403.14773"
] | [] | TAGS
#arxiv-2403.14773 #has_space #region-us
|
# StreamingT2V
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
</br>
Roberto Henschel,
Levon Khachatryan,
Daniil Hayrapetyan,
Hayk Poghosyan,
Vahram Tadevosyan,
Zhangyang Wang, Shant Navasardyan, Humphrey Shi
</br>
arXiv preprint | Video | Project page
<p align="center">
<img sr... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ValiantLabs/ShiningValiant
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for th... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["shining-valiant", "valiant", "valiant-labs", "llama", "llama-2", "llama-2-chat", "70b"], "base_model": "ValiantLabs/ShiningValiant", "model_type": "llama", "quantized_by": "mradermacher"} | mradermacher/ShiningValiant-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle19 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T14:08:05+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Model type:
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-chickenbehaviour-3
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-chickenbehaviour-3", "results": []}]} | heavoc/videomae-base-finetuned-chickenbehaviour-3 | null | [
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"video-classification",
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"license:cc-by-nc-4.0",
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| videomae-base-finetuned-chickenbehaviour-3
==========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1027
* Accuracy: 0.6720
* Class Report: precision recall f1-score support
aggr... | [
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null | peft |
# Low-rank decomposition of [valine/OpenSnark](https://huggingface.co/valine/OpenSnark) using [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) as base
| {"library_name": "peft", "base_model": "teknium/OpenHermes-2.5-Mistral-7B"} | khursani8/testq | null | [
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"safetensors",
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#peft #safetensors #base_model-teknium/OpenHermes-2.5-Mistral-7B #region-us
|
# Low-rank decomposition of valine/OpenSnark using teknium/OpenHermes-2.5-Mistral-7B as base
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] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/fufu001](https://huggingface... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/fufu001", "GamblerOnTrain/fufu003"]} | Sumail/Barista27 | null | [
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"base_model:GamblerOnTrain/fufu001",
"base_model:GamblerOnTrain/fufu003",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T14:09:38+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/fufu001 #base_model-GamblerOnTrain/fufu003 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/fufu001
* GamblerOnTrain/fufu003
### Configuration
The following... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/rrw-x2/KoSOLAR-10.7B-v2.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "rrw-x2/KoSOLAR-10.7B-v2.0", "quantized_by": "mradermacher"} | mradermacher/KoSOLAR-10.7B-v2.0-GGUF | null | [
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"en",
"base_model:rrw-x2/KoSOLAR-10.7B-v2.0",
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] | null | 2024-04-03T14:09:45+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-rrw-x2/KoSOLAR-10.7B-v2.0 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-rrw-x2/KoSOLAR-10.7B-v2.0 #license-apache-2.0 #endpoints_compatible #region-us \n"
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/JackFram-llama-160m-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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text-generation | transformers | <!-- header start -->
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null | pruna-engine | <!-- header start -->
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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. -->
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text-to-audio | 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. -->
# malay_micro_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "malay_micro_checkpoint", "results": []}]} | mikhail-panzo/malay_micro_checkpoint | null | [
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# malay_micro_checkpoint
This model is a fine-tuned version of microsoft/speecht5_tts 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-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. -->
# Overview
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-unca... | {"license": "apache-2.0", "library_name": "transformers", "metrics": ["accuracy"], "base_model": "google-bert/bert-base-uncased", "pipeline_tag": "text-classification", "model-index": [{"name": "results", "results": []}]} | Luna-Skywalker/BERT-crime-analysis | null | [
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| Overview
========
This model is a fine-tuned version of google-bert/bert-base-uncased on this Kaggle dataset.
It achieves the following results on the evaluation set:
* Macro f1: 89.44%
* Weighted f1: 93.15%
* Accuracy: 93.80%
* Balanced accuracy: 90.42%
Model description
-----------------
This finetuned versio... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- 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. -->
# CBertbase-APPS10k
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "CBertbase-APPS10k", "results": []}]} | AdnanRiaz107/CBertbase-APPS10k | null | [
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| CBertbase-APPS10k
=================
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0001
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | null |
3-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B).
| {"license": "mit"} | numen-tech/CodeNinja-1.0-OpenChat-7B-w3a16g40sym | null | [
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|
3-bit OmniQuant quantized version of CodeNinja-1.0-OpenChat-7B.
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null | null |
3-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
| {"license": "apache-2.0"} | numen-tech/Starling-LM-7B-beta-w3a16g40sym | null | [
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|
3-bit OmniQuant quantized version of Starling-LM-7B-beta.
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null | null |
3-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106).
| {"license": "apache-2.0"} | numen-tech/openchat-3.5-0106-w3a16g40sym | null | [
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|
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/llama27b-finetuned_32_2_0.0003_alternate_no_output | null | [
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sentence-similarity | sentence-transformers |
# AhmetAytar/all-mpnet-base-v2-fine-tuned
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using th... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | AhmetAytar/all-mpnet-base-v2-fine-tuned | null | [
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|
# AhmetAytar/all-mpnet-base-v2-fine-tuned
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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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["opus_books"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "o... | dconte76/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on the opus\_books dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6320
* Bleu: 5.458
* Gen Len: 17.6046
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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* num\\_epochs: 2\n* mixed\\_prec... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jr303/sc-Mistral-7B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. ... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "jr303/sc-Mistral-7B-v2", "quantized_by": "mradermacher"} | mradermacher/sc-Mistral-7B-v2-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-jr303/sc-Mistral-7B-v2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SwimChoi/villama2-7b-chat-Denmark-lora | 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": []} | eliotli/starcoder-checkpoint-700-merged | null | [
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|
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SwimChoi/villama2-7b-chat-Bulgaria-lora | 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. -->
# multilingual-e5-large-guardrail-toxicity-classifier-training
This model is a fine-tuned version of [intfloat/multilingual-e5-lar... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-toxicity-classifier-training", "results": []}]} | jamesoneill12/multilingual-e5-large-guardrail-toxicity-classifier-training | null | [
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"region:us"
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|
# multilingual-e5-large-guardrail-toxicity-classifier-training
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SwimChoi/villama2-7b-chat-Belgium-lora | 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": []} | Gowtham25/gemma-music-recommender | null | [
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null | transformers |
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SwimChoi/villama2-7b-chat-Cyprus-lora | null | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SwimChoi/villama2-7b-chat-Estonia-lora | null | [
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# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers | <!-- header start -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Amazing!
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# Model Card for Model ID
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## Model Details
### Model Description
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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
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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
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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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