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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/codellama-CodeLlama-7b-hf-GPTQ-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
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-28 | 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 |
# Orpomis-Prime-7B-it
Orpomis-Prime-7B-it is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
* [kaist-ai/mistral-orpo-beta](https://huggingface.co/kaist-ai/mistral-orpo-beta)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
*... | {"tags": ["merge", "mergekit", "kaist-ai/mistral-orpo-beta", "NousResearch/Hermes-2-Pro-Mistral-7B", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": ["kaist-ai/mistral-orpo-beta", "NousResearch/Hermes-2-Pro-Mistral-7B", "mistralai/Mistral-7B-Instruct-v0.2"]} | saucam/Orpomis-Prime-7B-it | null | [
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"conversational",
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"base_model:NousResearch/Hermes-2-Pro-Mistral... | null | 2024-04-12T12:21:55+00:00 | [] | [] | TAGS
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# Orpomis-Prime-7B-it
Orpomis-Prime-7B-it is a merge of the following models using Mergekit:
* kaist-ai/mistral-orpo-beta
* NousResearch/Hermes-2-Pro-Mistral-7B
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
## Usage
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automatic-speech-recognition | 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": []} | Mihaj/w2v-bert-karelian | 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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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. -->
# LLama-translation
This model is a fine-tuned version of [TheBloke/Llama-2-7B-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-GP... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Llama-2-7B-GPTQ", "model-index": [{"name": "LLama-translation", "results": []}]} | datha29/LLama-translation | null | [
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|
# LLama-translation
This model is a fine-tuned version of TheBloke/Llama-2-7B-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3955
- eval_runtime: 179.6096
- eval_samples_per_second: 9.565
- eval_steps_per_second: 1.197
- epoch: 2.0
- step: 774
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Saraaaaaaaaa/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"deep-reinforcement-learning",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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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-AG-News
Este modelo es una verisión fine-tuned de [bert-base-uncased](https://huggingface.co/bert-base-uncased) sob... | {"license": "apache-2.0", "tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "clasificador-AG-News", "results": []}]} | LuisCe/clasificador-AG-News | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
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#transformers #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-AG-News
====================
Este modelo es una verisión fine-tuned de bert-base-uncased sobre el conjunto de datos AG-News.
He generado este modelo en Google Colab. Le ha llevado 2 horas la generación del modelo.
El dataset tiene 120000 noticias clasificados en 4 campos: World, Sports, Business, Sci/Tec... | [
"### 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",
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | mohanaroachakka/jjfalcon | null | [
"peft",
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#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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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-68m-GPTQ-8bit-smashed | null | [
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"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
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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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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers |
# Trisert/mergekit-slerp-fxwtrsn-Q4_K_M-GGUF
This model was converted to GGUF format from [`Trisert/mergekit-slerp-fxwtrsn`](https://huggingface.co/Trisert/mergekit-slerp-fxwtrsn) 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 c... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | Trisert/mergekit-slerp-fxwtrsn-Q4_K_M-GGUF | null | [
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|
# Trisert/mergekit-slerp-fxwtrsn-Q4_K_M-GGUF
This model was converted to GGUF format from 'Trisert/mergekit-slerp-fxwtrsn' 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:
... | [
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token-classification | transformers |
# Neg-CamemBERT-bio: Language model for negation detection in radiological and other clinical texts for the French language.
Neg-CamemBERT-bio is a refined version of the transformer-based [**CamemBERT-bio-base model**](https://huggingface.co/almanach/camembert-bio-base), fine-tuned for the recognition of negations i... | {"language": ["fr"], "license": "mit", "library_name": "transformers", "tags": ["medical"], "metrics": ["precision", "recall", "f1"], "pipeline_tag": "token-classification", "widget": [{"text": "absence de signe d'anomalie des petites voies a\u00e9riennes, notamment pas de signe de pi\u00e9geage."}]} | aistrosight/Neg-CamemBERT-bio | null | [
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| Neg-CamemBERT-bio: Language model for negation detection in radiological and other clinical texts for the French language.
==========================================================================================================================
Neg-CamemBERT-bio is a refined version of the transformer-based CamemBER... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small GA-EN Speech Translation, fine-tuned from 1.2, without SpokenWords
This model is a fine-tuned version of [openai/w... | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN", "ymoslem/BitesizeIrish-GA-EN"], "metrics": ["bleu", "wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small GA-EN Speech Translation, fine... | ymoslem/whisper-small-ga2en-v1.3 | null | [
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... | null | 2024-04-12T12:36:19+00:00 | [] | [
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| Whisper Small GA-EN Speech Translation, fine-tuned from 1.2, without SpokenWords
================================================================================
This model is a fine-tuned version of openai/whisper-small on the IWSLT-2023, FLEURS, and BiteSize dataset.
It achieves the following results on the evaluat... | [
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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": []} | luozhuanggary/GOAT-v0.2-Mistral-7B-Claude | 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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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# vsft-llava-1.5-7b-hf6
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "vsft-llava-1.5-7b-hf6", "results": []}]} | edbeeching/vsft-llava-1.5-7b-hf6 | null | [
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|
# vsft-llava-1.5-7b-hf6
This model is a fine-tuned version of llava-hf/llava-1.5-7b-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 hyperpa... | [
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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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | savankamahina/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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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": []} | zahra-soukhtedel/wav2vec2-large-xls-r-300m-persion-colab | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_90 | 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-to-image | diffusers |
# 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).
## 禁止融... | {"license": "other", "library_name": "diffusers", "tags": ["art", "background", "1girl/1boy"], "license_name": "faipl-1.0-sd", "license_link": "https://freedevproject.org/faipl-1.0-sd/", "pipeline_tag": "text-to-image"} | Tasty-Rice/Illusionary_dimension | null | [
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| Model Card for Model ID
=======================
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Mistral-7B-Holodeck-1-Instruct-32k](https://huggingface.co/mpasila/Mistral-7B-Holodeck-1-Instruct-32k) using the default calibration dataset.
# Original Model card:
# Mistral-7B-Holodeck-1-Instruct-32k
This is a merge of pre-trained language models created usi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "KoboldAI/Mistral-7B-Holodeck-1"]} | mpasila/Mistral-7B-Holodeck-1-Instruct-32k-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of mpasila/Mistral-7B-Holodeck-1-Instruct-32k using the default calibration dataset.
# Original Model card:
# Mistral-7B-Holodeck-1-Instruct-32k
This is a merge of pre-trained language models created using mergekit.
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null | keras | The original source of the Z3D-E621-Convnext was the Discord channel of Z3D | {"license": "other"} | fsw/Z3D-E621-Convnext | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/m... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instruct_generation2", "results": []}]} | Mohitcr1/mistral_instruct_generation2 | null | [
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| mistral\_instruct\_generation2
==============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8762
Model description
-----------------
More information needed
Intended uses & l... | [
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | vraman54/distilbert-base-uncased-lora-text-classification | null | [
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| distilbert-base-uncased-lora-text-classification
================================================
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: 0.6760
* Accuracy: {'accuracy': 0.895}
Model description
---------... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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text-generation | transformers | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<img src="./assets/imgs/orion_start.PNG" alt="logo" width="30%" />
</div>
<div align="center">
<h1>
Orion-14B
</h1>
</div>
<div align="center">
<div align="center">
<b>🇨🇳中文</b> | <a href="#table-of-contents... | {} | OrionStarAI/Orion-14B-Base-Special | null | [
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|
Orion-14B
===========
**🇨🇳中文** | [English](#table-of-contents)
####
[HuggingFace主页](URL target=) | [ModelScope主页](URL target=) [HuggingFace在线试用](URL target=) | [ModelScope在线试用](URL target=) [GitHub](URL target=) [技术报告](URL target=)
目录
==
* 模型介绍
* 下载路径
* 评估结果
* ... | [
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null | null |
# Model Card for Model ID
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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. -->
# PolizzeDonut-ChangeRequest-imm5epochs-Expand0
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingf... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 | null | [
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|
# PolizzeDonut-ChangeRequest-imm5epochs-Expand0
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers | <!-- 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;">
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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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text-generation | transformers |
# testing-slp
testing-slp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://h... | {"license": "mit", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | mgv99/testing-slp | null | [
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"... | null | 2024-04-12T13:01:12+00:00 | [] | [] | TAGS
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# testing-slp
testing-slp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
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text-generation | transformers |
# Experiment27pasticheT3qm7xp-7B
Experiment27pasticheT3qm7xp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
* [nlpguy/T3QM7XP](https://huggingface... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/Experiment27Pastiche-7B", "nlpguy/T3QM7XP"]} | automerger/Experiment27pasticheT3qm7xp-7B | null | [
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|
# Experiment27pasticheT3qm7xp-7B
Experiment27pasticheT3qm7xp-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/Experiment27Pastiche-7B
* nlpguy/T3QM7XP
## Configuration
## Usage
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null | transformers |
# Uploaded model
- **Developed by:** sixrings23
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | sixrings23/unsloth-codealpaca-gemma2b-lora | null | [
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# Uploaded model
- Developed by: sixrings23
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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. -->
# biogpt-disease-ner
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unkno... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "biogpt-disease-ner", "results": []}]} | akoraingdkb/biogpt-disease-ner | null | [
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| biogpt-disease-ner
==================
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1470
* Precision: 0.4316
* Recall: 0.5241
* F1: 0.4734
* Accuracy: 0.9568
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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": []} | harish3742/gpt-neox-20b-PEFT-QLORA | null | [
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text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw3 | null | [
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Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** sixrings23
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | sixrings23/unsloth-codealpaca-gemma2b-lora-merged4bit | null | [
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# Uploaded model
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- License: apache-2.0
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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": []} | glonor/byt5-arabic-diacritization | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - thanhnx12/stable-diffusion-v1-5-pokemon-lora-1epoch
These are LoRA adaption weights for ru... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | thanhnx12/stable-diffusion-v1-5-pokemon-lora-1epoch | null | [
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|
# LoRA text2image fine-tuning - thanhnx12/stable-diffusion-v1-5-pokemon-lora-1epoch
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the polinaeterna/pokemon-blip-captions dataset. You can find some example images in the following.
!img_0
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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:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Nexusflow/Starling-LM-7B-beta"]} | Trisert/nerde-14B | null | [
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"base_model:Nexusflow/Starling-LM-7B-beta",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T13:05:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-Nexusflow/Starling-LM-7B-beta #autotrain_compatible #endpoints_compatible #text-generation-inference #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:
* HuggingFaceH4/zephyr-7b-beta
* Nexusflow/Starling-LM-7B-beta
### Configuration
... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | ProrabVasili/ppo-Huggy | null | [
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"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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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. -->
# vsft-llava-1.5-7b-hf7
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "vsft-llava-1.5-7b-hf7", "results": []}]} | edbeeching/vsft-llava-1.5-7b-hf7 | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-12T13:09:22+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #pretraining #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #endpoints_compatible #region-us
|
# vsft-llava-1.5-7b-hf7
This model is a fine-tuned version of llava-hf/llava-1.5-7b-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 hyperpa... | [
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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. -->
# idefics2-8b-docvqa-finetuned
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned", "results": []}]} | VictorSanh/idefics2-8b-docvqa-finetuned | null | [
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| idefics2-8b-docvqa-finetuned
============================
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7893
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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null | null | ### exl2 quants for Zephyr-ORPO-141b-A35b-v0.1
[3.5bpw](https://huggingface.co/flbox/zephyr-orpo-141b-A35b-v0.1-exl2/tree/3.5bpw) | {} | flbox/zephyr-orpo-141b-A35b-v0.1-exl2 | null | [
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#region-us
| ### exl2 quants for Zephyr-ORPO-141b-A35b-v0.1
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null | null |
Pony locon
artist: https://www.pixiv.net/en/users/4094653 | {"license": "apache-2.0"} | sulph/Rolua | null | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
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artist: URL | [] | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - thanhnx12/stable-diffusion-v1-5-pokemon-lora-20epoch
These are LoRA adaption weights for r... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | thanhnx12/stable-diffusion-v1-5-pokemon-lora-20epoch | null | [
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"license:creativeml-openrail-m",
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|
# LoRA text2image fine-tuning - thanhnx12/stable-diffusion-v1-5-pokemon-lora-20epoch
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the polinaeterna/pokemon-blip-captions dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
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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. -->
# mT5-TextSimp-LT-BatchSize8-lr1e-4
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "google/mt5-base", "model-index": [{"name": "mT5-TextSimp-LT-BatchSize8-lr1e-4", "results": []}]} | eglkan1/mT5-TextSimp-LT-BatchSize8-lr1e-4 | null | [
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| mT5-TextSimp-LT-BatchSize8-lr1e-4
=================================
This model is a fine-tuned version of google/mt5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0826
* Rouge1: 0.6956
* Rouge2: 0.532
* Rougel: 0.6875
* Sacrebleu: 41.0349
* Gen Len: 38.0501
Model des... | [
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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;">
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![Twitter](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;">
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![Twitter](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">
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![Twitter](URL
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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
This model generate questions from a given context
input :" gq: your conetext "
output:" questions from your given context "
<!-- Provide a longer summary of what this model is. -->
This i... | {"language": ["en"], "library_name": "transformers"} | hema99/FineTuned_QG_BART_Model | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This model generate questions from a given context
input :" gq: your conetext "
output:" questions from your given context "
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bunnycore/SmartToxic-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "bunnycore/SmartToxic-7B", "quantized_by": "mradermacher"} | mradermacher/SmartToxic-7B-GGUF | null | [
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"lazymergekit",
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"en"
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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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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. -->
# test-trainer
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dat... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "test-trainer", "results": []}]} | SweetZiyi/test-trainer | null | [
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"region:us"
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| test-trainer
============
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1628
* Precision: 0.5127
* Recall: 0.5849
* F1: 0.5464
* Accuracy: 0.9564
Model description
-----------------
More information needed
Inten... | [
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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/deepseek-ai-deepseek-coder-1.3b-instruct-GPTQ-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;">
</a>
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![Twitter](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/JackFram-llama-160m-GPTQ-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;">
</a>
</div>
![Twitter](URL
![GitHub](URL
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![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/saucam/Orpomis-Prime-7B-it
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "kaist-ai/mistral-orpo-beta", "NousResearch/Hermes-2-Pro-Mistral-7B", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": "saucam/Orpomis-Prime-7B-it", "quantized_by": "mradermacher"} | mradermacher/Orpomis-Prime-7B-it-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... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #kaist-ai/mistral-orpo-beta #NousResearch/Hermes-2-Pro-Mistral-7B #mistralai/Mistral-7B-Instruct-v0.2 #en #base_model-saucam/Orpomis-Prime-7B-it #endpoints_compatible #region-us \n"
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null | transformers |
- **Developed by:** Shekswess
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
To utilize the fine-tuning of the model, you need to use the mistral instruction prompt template for this medical version of the model :
```
[INST] Answer the question truthfully, you are a m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "medical"], "datasets": ["Shekswess/medical_mistral_instruct_dataset_short"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Shekswess/mistral-7b-instruct-v0.2-bnb-4bit-medical | null | [
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"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
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|
- Developed by: Shekswess
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
To utilize the fine-tuning of the model, you need to use the mistral instruction prompt template for this medical version of the model :
Metrics:
- train_runtime: 2362.0602
- train_samples_per_second... | [] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #medical #en #dataset-Shekswess/medical_mistral_instruct_dataset_short #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n"
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93
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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": []} | anony975/mistral_fine_tuned_3.5k_without_system | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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] | null | 2024-04-12T13:31:28+00:00 | [
"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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | thomasht86/mxbai-crossencoder-xsmall | null | [
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|
# Model Card for Model ID
## 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. -->
# t5-small-finetuned-wikisql
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown datas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-wikisql", "results": []}]} | AverageNLPEnjoyer/t5-small-finetuned-wikisql | null | [
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"t5",
"text2text-generation",
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| t5-small-finetuned-wikisql
==========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1246
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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... | ImenMasmoudiEm/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T13:35:19+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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] |
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. -->
# all-MiniLM-L6-v2-personal-project-default-2024-04-12
This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "sentence-transformers/all-MiniLM-L6-v2", "model-index": [{"name": "all-MiniLM-L6-v2-personal-project-default-2024-04-12", "results": []}]} | brugmark/all-MiniLM-L6-v2-personal-project-default-2024-04-12 | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"fill-mask",
"generated_from_trainer",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T13:35:29+00:00 | [] | [] | TAGS
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|
# all-MiniLM-L6-v2-personal-project-default-2024-04-12
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 10.9851
- eval_runtime: 7.6998
- eval_samples_per_second: 5.974
- eval_steps_per_second: 0.26... | [
"# all-MiniLM-L6-v2-personal-project-default-2024-04-12\n\nThis model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 10.9851\n- eval_runtime: 7.6998\n- eval_samples_per_second: 5.974\n- eval_steps_per_sec... | [
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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": []} | unrented5443/yqwztk0 | null | [
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"stablelm",
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"arxiv:1910.09700",
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"region:us"
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"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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# all-MiniLM-L6-v2-personal-project-finetuned-2024-04-12
This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "sentence-transformers/all-MiniLM-L6-v2", "model-index": [{"name": "all-MiniLM-L6-v2-personal-project-finetuned-2024-04-12", "results": []}]} | brugmark/all-MiniLM-L6-v2-personal-project-finetuned-2024-04-12 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T13:35:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #fill-mask #generated_from_trainer #base_model-sentence-transformers/all-MiniLM-L6-v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| all-MiniLM-L6-v2-personal-project-finetuned-2024-04-12
======================================================
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 7.8582
Model description
----------------... | [
"### 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: 3.0",
"### Trai... | [
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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. -->
# vsft-llava-1.5-7b-hf8
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "vsft-llava-1.5-7b-hf8", "results": []}]} | edbeeching/vsft-llava-1.5-7b-hf8 | null | [
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"trl",
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"generated_from_trainer",
"base_model:llava-hf/llava-1.5-7b-hf",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T13:36:41+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #pretraining #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #endpoints_compatible #region-us
|
# vsft-llava-1.5-7b-hf8
This model is a fine-tuned version of llava-hf/llava-1.5-7b-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 hyperpa... | [
"# vsft-llava-1.5-7b-hf8\n\nThis model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
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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": []} | Stanyvh/gpt2-reuters-tokenizer | null | [
"transformers",
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"endpoints_compatible",
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"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | Alpaca69B/phi2-2b-SSL-whatsapp-app-reviews-absa | 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:
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null | null | ### exl2 quants for Karasu-Mixtral-8x22B-v0.1
[3.5bpw](https://huggingface.co/flbox/Karasu-Mixtral-8x22B-v0.1-exl2/tree/3.5bpw) | {} | flbox/Karasu-Mixtral-8x22B-v0.1-exl2 | null | [
"region:us"
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#region-us
| ### exl2 quants for Karasu-Mixtral-8x22B-v0.1
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automatic-speech-recognition | transformers | # Whisper Medium Yodas
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the multiple datasets.
Testing new dataset [espnet/yodas](https://huggingface.co/datasets/espnet/yodas)
It achieves the following results on the evaluation set:
- Loss: 0.1466
- Wer O... | {"language": ["sr"], "license": "mit", "tags": ["audio", "automatic-speech-recognition"], "datasets": ["google/fleurs", "mozilla-foundation/common_voice_16_1", "Sagicc/audio-lmb-ds", "espnet/yodas"]} | Sagicc/whisper-medium-sr-yodas | null | [
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"dataset:Sagicc/audio-lmb-ds",
"dataset:espnet/yodas",
"license:mit",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #audio #sr #dataset-google/fleurs #dataset-mozilla-foundation/common_voice_16_1 #dataset-Sagicc/audio-lmb-ds #dataset-espnet/yodas #license-mit #endpoints_compatible #region-us
| # Whisper Medium Yodas
This model is a fine-tuned version of openai/whisper-medium on the multiple datasets.
Testing new dataset espnet/yodas
It achieves the following results on the evaluation set:
- Loss: 0.1466
- Wer Ortho: 0.1771
- Wer: 0.0811 | [
"# Whisper Medium Yodas\n\nThis model is a fine-tuned version of openai/whisper-medium on the multiple datasets.\n\nTesting new dataset espnet/yodas\n\nIt achieves the following results on the evaluation set:\n- Loss: 0.1466\n- Wer Ortho: 0.1771 \n- Wer: 0.0811"
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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": []} | HackerCIS/bloomz-560m_LoRA2 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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/my16ibn | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-12T13:50:34+00:00 | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | null | # SchizoGPT 8x22B QLoRA
Fine tuned on r/ChatGPT Discord #general dump.
Note this is an experiment tune, it will most likely not get any updates for later knowledge cutoffs, use [v2ray/SchizoGPT-8x7B-QLoRA](https://huggingface.co/v2ray/SchizoGPT-8x7B-QLoRA) if you want the most up-to-date version!
## Prompt Template
``... | {"language": ["en"], "license": "mit", "tags": ["not-for-all-audiences"], "datasets": ["v2ray/r-chatgpt-general-dump"], "pipeline_tag": "text-generation"} | v2ray/SchizoGPT-8x22B-QLoRA | null | [
"safetensors",
"not-for-all-audiences",
"text-generation",
"en",
"dataset:v2ray/r-chatgpt-general-dump",
"license:mit",
"region:us"
] | null | 2024-04-12T13:51:03+00:00 | [] | [
"en"
] | TAGS
#safetensors #not-for-all-audiences #text-generation #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #region-us
| # SchizoGPT 8x22B QLoRA
Fine tuned on r/ChatGPT Discord #general dump.
Note this is an experiment tune, it will most likely not get any updates for later knowledge cutoffs, use v2ray/SchizoGPT-8x7B-QLoRA if you want the most up-to-date version!
## Prompt Template
Date prefix is optional:
Use '@username' to ping a us... | [
"# SchizoGPT 8x22B QLoRA\nFine tuned on r/ChatGPT Discord #general dump.\n\nNote this is an experiment tune, it will most likely not get any updates for later knowledge cutoffs, use v2ray/SchizoGPT-8x7B-QLoRA if you want the most up-to-date version!",
"## Prompt Template\n\nDate prefix is optional:\n\nUse '@usern... | [
"TAGS\n#safetensors #not-for-all-audiences #text-generation #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #region-us \n",
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text-generation | transformers |
AWQ quantized version of starcoder2-3b model.
---
# StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. [Model Summary](##model-summary)
2. [Use](##use)
3. [Limitations](#... | {"license": "bigcode-openrail-m", "library_name": "transformers", "tags": ["code"], "datasets": ["bigcode/the-stack-v2-train"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "Python"}], "model-index": [{"name": "starcoder2-... | TechxGenus/starcoder2-3b-AWQ | null | [
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"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text... | null | 2024-04-12T13:51:08+00:00 | [
"2305.13245",
"2205.14135",
"2004.05150",
"2207.14255"
] | [] | TAGS
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|
AWQ quantized version of starcoder2-3b model.
---
# StarCoder2
<center>
<img src="URL alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. Model Summary
2. Use
3. Limitations
4. Training
5. License
6. Citation
## Model Summary
StarCoder2-3B model is a 3B parameter model trained on 17 progr... | [
"# StarCoder2\n\n<center>\n <img src=\"URL alt=\"SC2\" width=\"900\" height=\"600\">\n</center>",
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sentence-similarity | sentence-transformers | <h1 align="center">Snowflake's Arctic-embed-m-long</h1>
<h4 align="center">
<p>
<a href=#news>News</a> |
<a href=#models>Models</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#contact">Contact</a> |
<a href="#faq">FAQ</a>
<a href="#l... | {"license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb", "arctic", "snowflake-arctic-embed", "transformers.js"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "snowflake-arctic-m-long", "results": [{"task": {"type": "Classification"}, "dataset": ... | Snowflake/snowflake-arctic-embed-m-long | null | [
"sentence-transformers",
"onnx",
"safetensors",
"nomic_bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"arctic",
"snowflake-arctic-embed",
"transformers.js",
"custom_code",
"arxiv:2104.09864",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T13:52:31+00:00 | [
"2104.09864"
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| Snowflake's Arctic-embed-m-long
===============================
####
[News](#news) |
[Models](#models) |
[Usage](#usage) |
[Evaluation](#evaluation) |
[Contact](#contact) |
[FAQ](#faq)
[License](#license) |
[Acknowledgement](#acknowledgement)
News
----
04/16/2024: Release the snowflake-arctic-embed family... | [
"#### \n\n[News](#news) |\n [Models](#models) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [Contact](#contact) |\n [FAQ](#faq)\n[License](#license) |\n [Acknowledgement](#acknowledgement)\n\n\nNews\n----\n\n\n04/16/2024: Release the snowflake-arctic-embed family of text embedding models. The releases are s... | [
"TAGS\n#sentence-transformers #onnx #safetensors #nomic_bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #custom_code #arxiv-2104.09864 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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sentence-similarity | sentence-transformers | <h1 align="center">Snowflake's Arctic-embed-s</h1>
<h4 align="center">
<p>
<a href=#news>News</a> |
<a href=#models>Models</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#contact">Contact</a> |
<a href="#faq">FAQ</a>
<a href="#licens... | {"license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb", "arctic", "snowflake-arctic-embed", "transformers.js"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "snowflake-snowflake-arctic-embed-s", "results": [{"task": {"type": "Classification"}, ... | Snowflake/snowflake-arctic-embed-s | null | [
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"bert",
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"transformers.js",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-12T13:53:49+00:00 | [] | [] | TAGS
#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #license-apache-2.0 #model-index #endpoints_compatible #has_space #region-us
| Snowflake's Arctic-embed-s
==========================
####
[News](#news) |
[Models](#models) |
[Usage](#usage) |
[Evaluation](#evaluation) |
[Contact](#contact) |
[FAQ](#faq)
[License](#license) |
[Acknowledgement](#acknowledgement)
News
----
04/16/2024: Release the snowflake-arctic-embed family of text e... | [
"#### \n\n[News](#news) |\n [Models](#models) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [Contact](#contact) |\n [FAQ](#faq)\n[License](#license) |\n [Acknowledgement](#acknowledgement)\n\n\nNews\n----\n\n\n04/16/2024: Release the snowflake-arctic-embed family of text embedding models. The releases are s... | [
"TAGS\n#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #license-apache-2.0 #model-index #endpoints_compatible #has_space #region-us \n",
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sentence-similarity | sentence-transformers | <h1 align="center">Snowflake's Arctic-embed-xs</h1>
<h4 align="center">
<p>
<a href=#news>News</a> |
<a href=#models>Models</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#contact">Contact</a> |
<a href="#faq">FAQ</a>
<a href="#licen... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb", "arctic", "snowflake-arctic-embed", "transformers.js"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "snowflake-snowflake-arctic-embed-xs", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTE... | Snowflake/snowflake-arctic-embed-xs | null | [
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"arctic",
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"transformers.js",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-12T13:54:17+00:00 | [] | [] | TAGS
#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #model-index #endpoints_compatible #has_space #region-us
| Snowflake's Arctic-embed-xs
===========================
####
[News](#news) |
[Models](#models) |
[Usage](#usage) |
[Evaluation](#evaluation) |
[Contact](#contact) |
[FAQ](#faq)
[License](#license) |
[Acknowledgement](#acknowledgement)
News
----
04/16/2024: Release the snowflake-arctic-embed family of text... | [
"#### \n\n[News](#news) |\n [Models](#models) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [Contact](#contact) |\n [FAQ](#faq)\n[License](#license) |\n [Acknowledgement](#acknowledgement)\n\n\nNews\n----\n\n\n04/16/2024: Release the snowflake-arctic-embed family of text embedding models. The releases are s... | [
"TAGS\n#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #model-index #endpoints_compatible #has_space #region-us \n",
"#### \n\n[News](#news) |\n [Models](#models) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [... | [
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sentence-similarity | sentence-transformers | <h1 align="center">Snowflake's Arctic-embed-l</h1>
<h4 align="center">
<p>
<a href=#news>News</a> |
<a href=#models>Models</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#contact">Contact</a> |
<a href="#faq">FAQ</a>
<a href="#licens... | {"license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb", "arctic", "snowflake-arctic-embed", "transformers.js"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "snowflake-arctic-embed-l", "results": [{"task": {"type": "Classification"}, "dataset":... | Snowflake/snowflake-arctic-embed-l | null | [
"sentence-transformers",
"onnx",
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"bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"arctic",
"snowflake-arctic-embed",
"transformers.js",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T13:54:34+00:00 | [] | [] | TAGS
#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Snowflake's Arctic-embed-l
==========================
####
[News](#news) |
[Models](#models) |
[Usage](#usage) |
[Evaluation](#evaluation) |
[Contact](#contact) |
[FAQ](#faq)
[License](#license) |
[Acknowledgement](#acknowledgement)
News
----
04/16/2024: Release the snowflake-arctic-embed family of text e... | [
"#### \n\n[News](#news) |\n [Models](#models) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [Contact](#contact) |\n [FAQ](#faq)\n[License](#license) |\n [Acknowledgement](#acknowledgement)\n\n\nNews\n----\n\n\n04/16/2024: Release the snowflake-arctic-embed family of text embedding models. The releases are s... | [
"TAGS\n#sentence-transformers #onnx #safetensors #bert #feature-extraction #sentence-similarity #mteb #arctic #snowflake-arctic-embed #transformers.js #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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text-generation | transformers |
AWQ quantized version of starcoder2-7b model.
---
# StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. [Model Summary](##model-summary)
2. [Use](##use)
3. [Limitations](#... | {"license": "bigcode-openrail-m", "library_name": "transformers", "tags": ["code"], "datasets": ["bigcode/the-stack-v2-train"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "Python"}], "model-index": [{"name": "starcoder2-... | TechxGenus/starcoder2-7b-AWQ | null | [
"transformers",
"safetensors",
"starcoder2",
"text-generation",
"code",
"dataset:bigcode/the-stack-v2-train",
"arxiv:2305.13245",
"arxiv:2205.14135",
"arxiv:2004.05150",
"arxiv:2207.14255",
"license:bigcode-openrail-m",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text... | null | 2024-04-12T13:54:56+00:00 | [
"2305.13245",
"2205.14135",
"2004.05150",
"2207.14255"
] | [] | TAGS
#transformers #safetensors #starcoder2 #text-generation #code #dataset-bigcode/the-stack-v2-train #arxiv-2305.13245 #arxiv-2205.14135 #arxiv-2004.05150 #arxiv-2207.14255 #license-bigcode-openrail-m #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
AWQ quantized version of starcoder2-7b model.
---
# StarCoder2
<center>
<img src="URL alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. Model Summary
2. Use
3. Limitations
4. Training
5. License
6. Citation
## Model Summary
StarCoder2-7B model is a 7B parameter model trained on 17 progr... | [
"# StarCoder2\n\n<center>\n <img src=\"URL alt=\"SC2\" width=\"900\" height=\"600\">\n</center>",
"## Table of Contents\n\n1. Model Summary\n2. Use\n3. Limitations\n4. Training\n5. License\n6. Citation",
"## Model Summary\n\nStarCoder2-7B model is a 7B parameter model trained on 17 programming languages fro... | [
"TAGS\n#transformers #safetensors #starcoder2 #text-generation #code #dataset-bigcode/the-stack-v2-train #arxiv-2305.13245 #arxiv-2205.14135 #arxiv-2004.05150 #arxiv-2207.14255 #license-bigcode-openrail-m #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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null | null |
# bunnycore/SmartToxic-7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`bunnycore/SmartToxic-7B`](https://huggingface.co/bunnycore/SmartToxic-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "llama-cpp", "gguf-my-repo"]} | bunnycore/SmartToxic-7B-Q5_K_S-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T13:56:03+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# bunnycore/SmartToxic-7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'bunnycore/SmartToxic-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Not... | [
"# bunnycore/SmartToxic-7B-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'bunnycore/SmartToxic-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="YolandiTheNinja/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additi... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | YolandiTheNinja/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T13:56:51+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
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/facebook-incoder-1B-GPTQ-8bit-smashed | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-12T13:57:35+00:00 | [] | [] | TAGS
#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #8-bit #region-us
|
<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>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Reques... | [
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-7b - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/gemma-7... | {} | RichardErkhov/google_-_gemma-7b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-12T13:57:36+00:00 | [] | [] | TAGS
#gguf #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
gemma-7b - GGUF
* Model creator: URL
* Original model: URL
Name: gemma-7b.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.24GB
Name: gemma-7b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.54GB
Name: gemma-7b.IQ3\_S.gguf, Quant method: IQ3\... | [] | [
"TAGS\n#gguf #region-us \n"
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9
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text-generation | transformers | # SchizoGPT 8x22B
Fine tuned on r/ChatGPT Discord #general dump. \
Merged into bfloat16 using [v2ray/Mixtral-8x22B-v0.1](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1) as base and [v2ray/SchizoGPT-8x22B-QLoRA](https://huggingface.co/v2ray/SchizoGPT-8x22B-QLoRA) as QLoRA.
Note this is an experiment tune, it will most... | {"language": ["en"], "license": "mit", "tags": ["not-for-all-audiences"], "datasets": ["v2ray/r-chatgpt-general-dump"], "pipeline_tag": "text-generation"} | v2ray/SchizoGPT-8x22B | null | [
"transformers",
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"text-generation",
"not-for-all-audiences",
"en",
"dataset:v2ray/r-chatgpt-general-dump",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T13:58:20+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #not-for-all-audiences #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SchizoGPT 8x22B
Fine tuned on r/ChatGPT Discord #general dump. \
Merged into bfloat16 using v2ray/Mixtral-8x22B-v0.1 as base and v2ray/SchizoGPT-8x22B-QLoRA as QLoRA.
Note this is an experiment tune, it will most likely not get any updates for later knowledge cutoffs, use v2ray/SchizoGPT-8x7B-QLoRA if you want the m... | [
"# SchizoGPT 8x22B\nFine tuned on r/ChatGPT Discord #general dump. \\\nMerged into bfloat16 using v2ray/Mixtral-8x22B-v0.1 as base and v2ray/SchizoGPT-8x22B-QLoRA as QLoRA.\n\nNote this is an experiment tune, it will most likely not get any updates for later knowledge cutoffs, use v2ray/SchizoGPT-8x7B-QLoRA if you ... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="YolandiTheNinja/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fals... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.36 +/... | YolandiTheNinja/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T14:00:18+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | null | Idk if this works. You'll need a config file though. | {} | Inv/Yarn-Mistral-7b-128k-LoRA | null | [
"safetensors",
"region:us"
] | null | 2024-04-12T14:00:48+00:00 | [] | [] | TAGS
#safetensors #region-us
| Idk if this works. You'll need a config file though. | [] | [
"TAGS\n#safetensors #region-us \n"
] | [
9
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text-generation | transformers |
AWQ quantized version of starcoder2-15b model.
---
# StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. [Model Summary](#model-summary)
2. [Use](#use)
3. [Limitations](#l... | {"license": "bigcode-openrail-m", "library_name": "transformers", "tags": ["code"], "datasets": ["bigcode/the-stack-v2-train"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "Python"}], "model-index": [{"name": "starcoder2-... | TechxGenus/starcoder2-15b-AWQ | null | [
"transformers",
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"starcoder2",
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"arxiv:2004.05150",
"arxiv:2207.14255",
"license:bigcode-openrail-m",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text... | null | 2024-04-12T14:03:22+00:00 | [
"2305.13245",
"2205.14135",
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"2207.14255"
] | [] | TAGS
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|
AWQ quantized version of starcoder2-15b model.
---
# StarCoder2
<center>
<img src="URL alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. Model Summary
2. Use
3. Limitations
4. Training
5. License
6. Citation
## Model Summary
StarCoder2-15B model is a 15B parameter model trained on 600+ ... | [
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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. -->
# thesis_RobBERT
This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-base](https://huggingface.co/DTAI-KULeuve... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "DTAI-KULeuven/robbert-2023-dutch-base", "model-index": [{"name": "thesis_RobBERT", "results": []}]} | FD0798104/thesis_RobBERT | null | [
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"roberta",
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"base_model:DTAI-KULeuven/robbert-2023-dutch-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:04:51+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-DTAI-KULeuven/robbert-2023-dutch-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| thesis\_RobBERT
===============
This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.6461
* Accuracy: 0.1827
* F1: 0.0891
Model description
-----------------
More information needed
Intended uses &... | [
"### 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* lr\\_scheduler\\_warmup\\_steps: ... | [
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null | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [dolphin-2.6-mixtral-8x7b](https://huggingface.co/cognitivecomputations/dolphin-2.6-mixtral-8x7b).
Note that the embedding and the MoE gate weights are not quantized in this version.
| {"license": "apache-2.0"} | numen-tech/dolphin-2.6-mixtral-8x7b-w4a16g128asym_1 | null | [
"arxiv:2308.13137",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T14:04:53+00:00 | [
"2308.13137"
] | [] | TAGS
#arxiv-2308.13137 #license-apache-2.0 #region-us
|
4-bit OmniQuant quantized version of dolphin-2.6-mixtral-8x7b.
Note that the embedding and the MoE gate weights are not quantized in this version.
| [] | [
"TAGS\n#arxiv-2308.13137 #license-apache-2.0 #region-us \n"
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23
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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. -->
# 10-epochs-config-only-test-mlm-datav4-uncased
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/b... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "10-epochs-config-only-test-mlm-datav4-uncased", "results": []}]} | robzchhangte/10-bert-uncased-datav4 | null | [
"transformers",
"safetensors",
"bert",
"fill-mask",
"generated_from_trainer",
"base_model:bert-base-uncased",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:05:39+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #fill-mask #generated_from_trainer #base_model-bert-base-uncased #autotrain_compatible #endpoints_compatible #region-us
|
# 10-epochs-config-only-test-mlm-datav4-uncased
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: 1.8796
- Accuracy: 0.6264
## Model description
This model is trained using language modelling script provided by HF. The b... | [
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null | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Nous-Hermes-2-Mixtral-8x7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO).
Note that the embedding and the MoE gate weights are not quantized in this version.
| {"license": "apache-2.0"} | numen-tech/Nous-Hermes-2-Mixtral-8x7B-DPO-w4a16g128asym_1 | null | [
"arxiv:2308.13137",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T14:05:42+00:00 | [
"2308.13137"
] | [] | TAGS
#arxiv-2308.13137 #license-apache-2.0 #region-us
|
4-bit OmniQuant quantized version of Nous-Hermes-2-Mixtral-8x7B-DPO.
Note that the embedding and the MoE gate weights are not quantized in this version.
| [] | [
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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:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-jfynlwk | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T14:08:15+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #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:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** goncaavci
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | goncaavci/peft-llama-qlora-sum-trail5 | null | [
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# Uploaded model
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0mom/st_41 | null | [
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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. -->
# bioGPT_finetuned_NER
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the fo... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "bioGPT_finetuned_NER", "results": []}]} | carlwharris/bioGPT_finetuned_NER | null | [
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| bioGPT\_finetuned\_NER
======================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1645
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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text-to-image | null |
# LoRA model of Priestess/普瑞赛斯 (Arknights)
## What Is This?
This is the LoRA model of waifu Priestess/普瑞赛斯 (Arknights).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts), and the test images are generated with [a1111's webui](AUTOMATIC1111/stable-diffu... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/priestess_arknights"], "pipeline_tag": "text-to-image"} | CyberHarem/priestess_arknights | null | [
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| LoRA model of Priestess/普瑞赛斯 (Arknights)
========================================
What Is This?
-------------
This is the LoRA model of waifu Priestess/普瑞赛斯 (Arknights).
How Is It Trained?
------------------
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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": []} | larrydai/code-search-net-tokenizer | null | [
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text-generation | transformers | 
# Cyfieithydd 7b Fersiwn 3 #
Model cyfieithu arbrofol sy'n defnyddio LLM Trawsnewidiol.
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| !cyfieithydd-7b-fersiwn-3
# Cyfieithydd 7b Fersiwn 3 #
Model cyfieithu arbrofol sy'n defnyddio LLM Trawsnewidiol.
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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": []} | ml233/prompt-tuning-contrastive | null | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
![GitHub](URL
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui
<Gallery />
## Model description
These are rfhuang/maui LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special VAE us... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of a dog named Maui in random situations, taken from a smartphone camer... | rfhuang/maui | null | [
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|
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui
<Gallery />
## Model description
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-12T14:24:02+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<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>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
43,
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"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
text-to-image | diffusers |
# sd14-emoji-lora
This is a LORA adapter for Stable Diffusion v1.4 model. This model generates emojis with different styles.
There are three key words to trigger different styles. "flat" keyword triggers 2D shapes, "color" word triggers 3D shapes, "high contrast" triggers
black and white and cartoonish images.
You ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["lora", "peft", "diffusers"], "datasets": ["Norod78/microsoft-fluentui-emoji-512-whitebg"], "pipeline_tag": "text-to-image", "base_model": "CompVis/stable-diffusion-v1-4"} | kesimeg/sd14_emoji_lora | null | [
"diffusers",
"lora",
"peft",
"text-to-image",
"dataset:Norod78/microsoft-fluentui-emoji-512-whitebg",
"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-12T14:25:08+00:00 | [] | [] | TAGS
#diffusers #lora #peft #text-to-image #dataset-Norod78/microsoft-fluentui-emoji-512-whitebg #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #region-us
|
# sd14-emoji-lora
This is a LORA adapter for Stable Diffusion v1.4 model. This model generates emojis with different styles.
There are three key words to trigger different styles. "flat" keyword triggers 2D shapes, "color" word triggers 3D shapes, "high contrast" triggers
black and white and cartoonish images.
You ... | [
"# sd14-emoji-lora\n\nThis is a LORA adapter for Stable Diffusion v1.4 model. This model generates emojis with different styles. \nThere are three key words to trigger different styles. \"flat\" keyword triggers 2D shapes, \"color\" word triggers 3D shapes, \"high contrast\" triggers\nblack and white and cartoonish... | [
"TAGS\n#diffusers #lora #peft #text-to-image #dataset-Norod78/microsoft-fluentui-emoji-512-whitebg #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #region-us \n",
"# sd14-emoji-lora\n\nThis is a LORA adapter for Stable Diffusion v1.4 model. This model generates emojis with different style... | [
70,
99
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"TAGS\n#diffusers #lora #peft #text-to-image #dataset-Norod78/microsoft-fluentui-emoji-512-whitebg #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #region-us \n# sd14-emoji-lora\n\nThis is a LORA adapter for Stable Diffusion v1.4 model. This model generates emojis with different styles. \nT... |
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