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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712197768933x344715690804604100
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
TOK
```
Use this keyword to trigger your custom model in your prompts.
LoRA for ... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["jamine23/getone"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "TOK", "inference": false} | squaadinc/1712197768933x344715690804604100 | null | [
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"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:jamine23/getone",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-04T02:29:42+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-jamine23/getone #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712197768933x344715690804604100
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
# M7Yamshadowexperiment28-7B
M7Yamshadowexperiment28-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/Yamshado... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "automerger/YamshadowExperiment28-7B"]} | automerger/M7Yamshadowexperiment28-7B | null | [
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|
# M7Yamshadowexperiment28-7B
M7Yamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.
* liminerity/M7-7b
* automerger/YamshadowExperiment28-7B
## Configuration
## Usage
| [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# FYP_sq2_mrqa
This model is a fine-tuned version of [deepset/deberta-v3-base-squad2](https://huggingface.co/deepset/deberta-v3-b... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/deberta-v3-base-squad2", "model-index": [{"name": "FYP_sq2_mrqa", "results": []}]} | kxx-kkk/FYP_sq2_mrqa | null | [
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| FYP\_sq2\_mrqa
==============
This model is a fine-tuned version of deepset/deberta-v3-base-squad2 on MRQA dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0805
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\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: 1\n* mixed\\_prec... | [
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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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<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
![Discord](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. -->
# SDXL LoRA DreamBooth - FelipeMahlow/17121870775549793
<Gallery />
## Model description
These are FelipeMahlow/1712187... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of fmahlow man",... | FelipeMahlow/17121870775549793 | null | [
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|
# SDXL LoRA DreamBooth - FelipeMahlow/17121870775549793
<Gallery />
## Model description
These are FelipeMahlow/17121870775549793 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for t... | [
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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/hf-tiny-model-private-tiny-random-BloomForCausalLM-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</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... | [
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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_Sentiment_Classification_2024-04-03
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://h... | {"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_Sentiment_Classification_2024-04-03", "results": []}]} | Ai-Marshal/Mistral_Sentiment_Classification_2024-04-03 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| Mistral\_Sentiment\_Classification\_2024-04-03
==============================================
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: 0.2962
Model description
-----------------
More inform... | [
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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/hf-tiny-model-private-tiny-random-BloomForCausalLM-bnb-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
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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": []} | lleticiasilvaa/TinyLlama-1.1B-Chat-v1.0-checkpoint-50 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Uploaded model
- **Developed by:** TheHappyDrone
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
Chat format
```
Below is an instruction that describes a ta... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit", "widget": [{"text": "Below is an instruction that describes a task, paired with an input that provides further context. Write an ominous and ... | TheHappyDrone/Uoxudo_16bit | null | [
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# Uploaded model
- Developed by: TheHappyDrone
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | Adrienkgz/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
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sentence-similarity | sentence-transformers |
# {GIST-Embedding-v0-finetuned}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | wahid028/GIST-Law-Embed | null | [
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|
# {GIST-Embedding-v0-finetuned}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:... | [
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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": []} | vasanthm/mistral-7b-v1-dolly_hhrlhf | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | vasanthm/mistral-7b-v1.1-dolly_hhrlhf | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-disaster-twitter-v2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "gpt2", "model-index": [{"name": "distilgpt2-disaster-twitter-v2", "results": []}]} | JiaJiaCen/distilgpt2-disaster-twitter-v2 | null | [
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| distilgpt2-disaster-twitter-v2
==============================
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4696
* F1: 0.8120
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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sentence-similarity | transformers |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sent... | McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp | null | [
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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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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": []} | ChanE-666/phi-2-QLora | 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. -->
# T5-PEFT-2
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It achieves the... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "T5-PEFT-2", "results": []}]} | jgibb/T5-PEFT-2 | null | [
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| T5-PEFT-2
=========
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1705
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
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# Model Card for Model ID
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind_3_0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not p... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_MegaMind_3_0", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_Cyber_MegaMind_3_0-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.
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-----
If you are unsure how to use GGUF file... | [] | [
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text-to-speech | fasttext | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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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. -->
# mixtral_full
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "mixtral_full", "results": []}]} | Krisbiantoro/mixtral_full | null | [
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| mixtral\_full
=============
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9139
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw2.5 | null | [
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# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
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text-generation | transformers | 
# flammen15-mistral-7B
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.
#... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/MaidFlameSoup-7B", "nbeerbower/flammen14-mistral-7B"]} | flammenai/flammen15-mistral-7B | null | [
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| !image/png
# flammen15-mistral-7B
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:
* nbeerbower/MaidFlameSoup-7B
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_3_0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not plann... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge", "unsloth"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_3_0", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_CyberBrain_3_0-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lleticiasilvaa/TinyLlama-1.1B-Chat-v1.0-checkpoint-75 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | <img src="https://i.imgur.com/P68dXux.png" width="400"/>
# Tess-2.0-Mixtral-iMat-GGUF
I-quants were created with the latest build of llama.cpp, includes [PR 6387](https://github.com/ggerganov/llama.cpp/pull/6387)
<b>Special request.</b> Quantized from fp16 with love.
* Quantizations made possible using .imatrix file... | {"tags": ["gguf", "iMat"]} | InferenceIllusionist/Tess-2.0-Mixtral-iMat-GGUF | null | [
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| <img src="https://i.URL width="400"/>
# Tess-2.0-Mixtral-iMat-GGUF
I-quants were created with the latest build of URL, includes PR 6387
<b>Special request.</b> Quantized from fp16 with love.
* Quantizations made possible using .imatrix file from this repo (special thanks to ikawrakow again)
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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. -->
# California_bills_summary
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "California_bills_summary", "results": []}]} | cheaptrix/California_bills_summary | null | [
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| California\_bills\_summary
==========================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5061
* Rouge1: 0.1413
* Rouge2: 0.0503
* Rougel: 0.1163
* Rougelsum: 0.1161
* Gen Len: 19.0
Model description
---... | [
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text-generation | transformers | # nanoLLaVA - Sub 1B Vision-Language Model
<p align="center">
<img src="https://i.postimg.cc/d15k3YNG/nanollava.webp" alt="Logo" width="350">
</p>
## Description
nanoLLaVA is a "small but mighty" 1B vision-language model designed to run efficiently on edge devices.
- **Base LLM**: [Quyen-SE-v0.1](https://huggingfac... | {"language": ["en"], "license": "apache-2.0", "tags": ["llava", "multimodal", "qwen"]} | qnguyen3/nanoLLaVA | null | [
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| nanoLLaVA - Sub 1B Vision-Language Model
========================================
Description
-----------
nanoLLaVA is a "small but mighty" 1B vision-language model designed to run efficiently on edge devices.
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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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sentence-similarity | peft |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "peft", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sentence Sim... | McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AL12dw/b3b3_bot-1 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# retrain_model
This model is a fine-tuned version of [huynq3Cyradar/bert-large-finetuned-phishing](https://huggingface.co/huynq3C... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "huynq3Cyradar/bert-large-finetuned-phishing", "model-index": [{"name": "retrain_model", "results": []}]} | huynq3Cyradar/retrain_model | null | [
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| retrain\_model
==============
This model is a fine-tuned version of huynq3Cyradar/bert-large-finetuned-phishing on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1714
* Accuracy: 0.9881
* Precision: 0.9879
* Recall: 0.9862
* False Positive Rate: 0.0102
Model description
-----... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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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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#transformers #safetensors #falcon #text-generation #pruna-ai #custom_code #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... | [
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw3 | null | [
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"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-04-04T03:42:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
|
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
"# Starling-LM-10.7B-beta\n\nThis is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.\n\nThis model is intended to be used as a drop-in upgrade from the original 7 billion parameter 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": []} | ernest/zephyr_7b_beta_bnb_int4 | null | [
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"arxiv:1910.09700",
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"endpoints_compatible",
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"4-bit",
"region:us"
] | null | 2024-04-04T03:42:25+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers |
# SDXL Evolved - Aesthetic
<div style="overflow:hidden">
<img src="imgs/1.png" width=256 height=256 style="float:left; margin:0"/>
<img src="imgs/2.png" width=256 height=256 style="float:left; margin:0"/>
<img src="imgs/3.png" width=256 height=256 style="float:left; margin:0"/>
<img src="imgs/4.png" width=256... | {"library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion"], "inference": false} | martyn/sdxl-evolved-aesthetic | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"region:us"
] | null | 2024-04-04T03:45:05+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #region-us
|
# SDXL Evolved - Aesthetic
<div style="overflow:hidden">
<img src="imgs/1.png" width=256 height=256 style="float:left; margin:0"/>
<img src="imgs/2.png" width=256 height=256 style="float:left; margin:0"/>
<img src="imgs/3.png" width=256 height=256 style="float:left; margin:0"/>
<img src="imgs/4.png" width=256... | [
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text-generation | transformers |
72.51 <- average
69.03 <- ARC
87.33 <- HellaSwag
63.61 <- MMLU
71.71 <- TruthfulQA
81.37 <- Winogrande
62.02 <- GSM8K
System:
{{ .System }}
User:
{{ %1 }}
Assistant:
gguf: https://huggingface.c... | {"license": "apache-2.0", "library_name": "transformers"} | netcat420/MFANNv0.3 | null | [
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"text-generation",
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"autotrain_compatible",
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"region:us"
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#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
72.51 <- average
69.03 <- ARC
87.33 <- HellaSwag
63.61 <- MMLU
71.71 <- TruthfulQA
81.37 <- Winogrande
62.02 <- GSM8K
System:
{{ .System }}
User:
{{ %1 }}
Assistant:
!image/png
gguf: URL | [] | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712202390407x231756570084896930
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["jamine23/getone"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712202390407x231756570084896930 | null | [
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"text-to-image",
"lora",
"dataset:jamine23/getone",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-04T03:46:39+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-jamine23/getone #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712202390407x231756570084896930
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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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": []} | lleticiasilvaa/TinyLlama-1.1B-Chat-v1.0-checkpoint-105 | null | [
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"autotrain_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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:
* [minhtt/vistral-7b-chat](https://huggingface... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["minhtt/vistral-7b-chat", "mistralai/Mistral-7B-Instruct-v0.2"]} | TunyTrinh/test_mistral_02 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* minhtt/vistral-7b-chat
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
T... | [
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text2text-generation | transformers |
A small T5v1.1 model trained on the cLang-8 dataset following the process described in [A Simple Recipe for Multilingual Grammatical Error Correction](https://arxiv.org/abs/2106.03830).
Since it is a single-task T5v1.1 model, there is no need for a task-specific prefix. | {"language": ["en"], "license": "apache-2.0", "tags": ["grammatical error correction", "text2text", "t5"], "datasets": ["clang-8"]} | Buntan/gec-t5-v1_1-small | null | [
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|
A small T5v1.1 model trained on the cLang-8 dataset following the process described in A Simple Recipe for Multilingual Grammatical Error Correction.
Since it is a single-task T5v1.1 model, there is no need for a task-specific prefix. | [] | [
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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": []} | alvinxjm/mistral_7b_threat | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- 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": []} | ChanE-666/phi2-bnb-8bit | null | [
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"phi",
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"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
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#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | cti-ttp-18/fine-tune-gemma-e2 | null | [
"transformers",
"tensorboard",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T03:55:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
| [
"# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.",
"# Usage"
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] |
text-generation | transformers |
# c4ai-command-r-v01-japanese-instruct
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/c4ai-command-r-v01-japanese-instruct-GGUF)
## 概要
[CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)を、[ichikara-instruction](https://liat-aip.sakura.ne.jp/wp/llm%E3%81... | {"language": ["ja", "en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "base_model": ["CohereForAI/c4ai-command-r-v01"]} | Aratako/c4ai-command-r-v01-japanese-instruct | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"ja",
"en",
"base_model:CohereForAI/c4ai-command-r-v01",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T03:56:52+00:00 | [] | [
"ja",
"en"
] | TAGS
#transformers #safetensors #cohere #text-generation #ja #en #base_model-CohereForAI/c4ai-command-r-v01 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| c4ai-command-r-v01-japanese-instruct
====================================
GGUF版はこちら/Click here for the GGUF version
概要
--
CohereForAI/c4ai-command-r-v01を、ichikara-instructionを使って追加で日本語インストラクションチューニングを施したモデルです。
学習の設定
-----
RunpodでGPUサーバを借り、A6000x4で学習を行いました。主な学習パラメータは以下の通りです。
* lora\_r: 64
* lisa\_alpha: 128
... | [] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #ja #en #base_model-CohereForAI/c4ai-command-r-v01 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
74
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] |
text-generation | transformers | ## References
For more information, please refer to our paper and GitHub repository.
Paper: [Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation](https://arxiv.org/abs/2401.16421)
GitHub: [BiPE](https://github.com/zhenyuhe00/BiPE)
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, ... | {"language": ["en"], "license": "mit"} | hzy00/BiPE_RoPE-151M | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2401.16421",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T03:57:12+00:00 | [
"2401.16421"
] | [
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #en #arxiv-2401.16421 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## References
For more information, please refer to our paper and GitHub repository.
Paper: Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
GitHub: BiPE
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang* | [
"## References\nFor more information, please refer to our paper and GitHub repository.\n\nPaper: Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation\n\nGitHub: BiPE\n\nAuthors: *Zhenyu He\\*, Guhao Feng\\*, Shengjie Luo\\*, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwe... | [
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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/mosaicml-mpt-7b-storywriter-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"mpt",
"text-generation",
"pruna-ai",
"custom_code",
"autotrain_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T03:57:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mpt #text-generation #pruna-ai #custom_code #autotrain_compatible #text-generation-inference #4-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 #mpt #text-generation #pruna-ai #custom_code #autotrain_compatible #text-generation-inference #4-bit #region-us \n",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-large-cased-rocstories
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-cased-rocstories", "results": []}]} | KeiHeityuu/bert-large-cased-rocstories | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-large-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T03:59:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-large-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-large-cased-rocstories
===========================
This model is a fine-tuned version of bert-large-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2812
* Accuracy: 0.9417
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### 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: 4",
"### Traini... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | lbaeriswyl/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-04T03:59:56+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\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 ... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Fredithefish/AuroraRP-8x7B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/AuroraRP-8x7B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one o... | {"language": ["en"], "library_name": "transformers", "tags": ["roleplay", "rp", "mergekit", "merge"], "base_model": "Fredithefish/AuroraRP-8x7B", "quantized_by": "mradermacher"} | mradermacher/AuroraRP-8x7B-GGUF | null | [
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"rp",
"mergekit",
"merge",
"en",
"base_model:Fredithefish/AuroraRP-8x7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T04:00:24+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #rp #mergekit #merge #en #base_model-Fredithefish/AuroraRP-8x7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #roleplay #rp #mergekit #merge #en #base_model-Fredithefish/AuroraRP-8x7B #endpoints_compatible #region-us \n"
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46
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"TAGS\n#transformers #gguf #roleplay #rp #mergekit #merge #en #base_model-Fredithefish/AuroraRP-8x7B #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-l2-70b-2.2
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/airoboros-l2-70b-2.2-GGUF
## Usage
If you are unsure how to use GGUF files, refer ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "datasets": ["jondurbin/airoboros-2.2"], "base_model": "jondurbin/airoboros-l2-70b-2.2", "quantized_by": "mradermacher"} | mradermacher/airoboros-l2-70b-2.2-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:jondurbin/airoboros-2.2",
"base_model:jondurbin/airoboros-l2-70b-2.2",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T04:00:39+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-jondurbin/airoboros-2.2 #base_model-jondurbin/airoboros-l2-70b-2.2 #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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63
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] |
text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw3.5 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T04:01:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
"# Starling-LM-10.7B-beta\n\nThis is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.\n\nThis model is intended to be used as a drop-in upgrade from the original 7 billion parameter model."
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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/daryl149-llama-2-7b-hf-bnb-4bit-smashed | null | [
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"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>
</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 #4-bit #region-us \n",
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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": []} | lunarsylph/mooncell_v29 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T04:02:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/s12 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for alokabhishek/Llama-2-7b-chat-hf-8.0-bpw-exl2
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 8-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Llama-2-7b-chat-hf
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Original model: ... | {"license": "llama2", "library_name": "transformers", "tags": ["8bit", "llama", "llama-2", "facebook", "meta", "7b", "quantized", "ExLlamaV2", "quantized", "exl2", "8.0-bpw"], "pipeline_tag": "text-generation"} | alokabhishek/Llama-2-7b-chat-hf-8.0-bpw-exl2 | null | [
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| Model Card for alokabhishek/Llama-2-7b-chat-hf-8.0-bpw-exl2
===========================================================
This repo contains 8-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Llama-2-7b-chat-hf
Model Details
-------------
* Model creator: Meta
* Original model: Llama-2-7b-chat-hf
### Ab... | [
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sentence-similarity | sentence-transformers |
# kardy04/plugin-embedding-sts-0404
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mod... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kardy04/plugin-embedding-sts-0404 | null | [
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|
# kardy04/plugin-embedding-sts-0404
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers install... | [
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text-classification | bertopic |
# general-april-3
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertopic
```... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/general-april-3 | null | [
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| general-april-3
===============
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic overview
----... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/s14 | 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. -->
# e3_lr2e-05
This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "neuralmind/bert-base-portuguese-cased", "model-index": [{"name": "e3_lr2e-05", "results": []}]} | ciriatico/e3_lr2e-05 | null | [
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|
# e3_lr2e-05
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset.
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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": []} | ciriatico/ner-bert-base-cased-pt-AVISO_LICITACAO-knedle | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<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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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": []} | ciriatico/ner-bert-base-cased-pt-AVISO_SUSPENSAO_LICITACAO-knedle | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle28 | null | [
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null | null | Clyde Donovan from South Park. | {} | RandomlyCreatedAI/ClydeDonovanV1 | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Pegasus_paraphraser_Com_13
This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_12](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Gayathri142214002/Pegasus_paraphraser_Com_12", "model-index": [{"name": "Pegasus_paraphraser_Com_13", "results": []}]} | Gayathri142214002/Pegasus_paraphraser_Com_13 | null | [
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| Pegasus\_paraphraser\_Com\_13
=============================
This model is a fine-tuned version of Gayathri142214002/Pegasus\_paraphraser\_Com\_12 on an unknown dataset.
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* Loss: 0.1587
Model description
-----------------
More information needed
Intended ... | [
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text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by soorajP2005 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
.jpg)
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | soorajP2005/my-pet-dog | null | [
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sentence-similarity | sentence-transformers |
# NghiemAbe/PhoBert-base-GIST-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model ... | {"language": ["vi"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | NghiemAbe/PhoBert-base-GIST-v2 | null | [
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# NghiemAbe/PhoBert-base-GIST-v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-neo-125m-cs-finetuning-90000-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-90000-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-90000-1 | null | [
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| gpt-neo-125m-cs-finetuning-90000-1
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
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* Loss: 3.1679
Model description
-----------------
More information needed
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw3.7 | null | [
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# Starling-LM-10.7B-beta
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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": []} | ciriatico/ner-bert-base-cased-pt-EXTRATO_CONTRATO-knedle | null | [
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text-generation | transformers | <!-- header start -->
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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": []} | waadarsh/stablelm-zephyr-3b-magnite_finetuned | 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. -->
# zephyr-7b-dpo-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignm... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora", "results": []}]} | objects76/zephyr-7b-dpo-qlora | null | [
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| zephyr-7b-dpo-qlora
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrafeedback\_binarized dataset.
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* Loss: 0.4863
* Rewards/chosen: -2.8122
* Rewards/rejected: -3.9101
* Rewards/accuraci... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam wit... | [
"TAGS\n#peft #tensorboard #safetensors #mistral #alignment-handbook #trl #dpo #generated_from_trainer #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #4-bit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tr... | [
82,
154,
5,
51
] | [
"TAGS\n#peft #tensorboard #safetensors #mistral #alignment-handbook #trl #dpo #generated_from_trainer #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #4-bit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training... |
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