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null | null | https://civitai.com/models/380833/yae-amagami-amagami-san-chi-no-enmusubi-lora | {"license": "creativeml-openrail-m"} | LarryAIDraw/amagamiyae-nvwls-v1 | null | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw4.2 | null | [
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# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
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null | null | https://civitai.com/models/208547/arlecchino-genshin-impact | {"license": "creativeml-openrail-m"} | LarryAIDraw/Char-Genshin-Arlecchino-V2 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EduardoPacheco/hiera-tiny-224-mae | 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. -->
# fine_tuned_solar
This model is a fine-tuned version of [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "upstage/SOLAR-10.7B-Instruct-v1.0", "model-index": [{"name": "fine_tuned_solar", "results": []}]} | gingun18/fine_tuned_solar | null | [
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# fine_tuned_solar
This model is a fine-tuned version of upstage/SOLAR-10.7B-Instruct-v1.0 on the generator dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | null | https://civitai.com/models/377331/jade-honkai-star-rail | {"license": "creativeml-openrail-m"} | LarryAIDraw/jade | null | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/louisbrulenaudet/Pearl-34B-ties
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Pearl-34B-ties-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "jondurbin/bagel-dpo-34b-v0.2", "abacusai/MetaMath-Bagel-DPO-34B"], "base_model": "louisbrulenaudet/Pearl-34B-ties", "quantized_by": "mradermacher"} | mradermacher/Pearl-34B-ties-GGUF | null | [
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static quants of URL
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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": []} | yxs33220/llama-2-7b-incidentresponse | null | [
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text-generation | transformers | <!-- header start -->
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-Instruct-v0.... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mlabonne/NeuralBeagle14-7B", "Nexusflow/Starling-LM-7B-beta", "CorticalStack/pastiche-crown-clown-7b-dare-dpo", "mistralai/Mistral-7B-Instruct-v0.2"]} | jambroz/FNCARL-7b | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v37 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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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_base_wmt14_En_Fr_1million
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wmt14"], "metrics": ["bleu"], "base_model": "google-t5/t5-base", "model-index": [{"name": "T5_base_wmt14_En_Fr_1million", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name... | sriram-sanjeev9s/T5_base_wmt14_En_Fr_1million | null | [
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| T5\_base\_wmt14\_En\_Fr\_1million
=================================
This model is a fine-tuned version of google-t5/t5-base on the wmt14 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9945
* Bleu: 8.5002
* Gen Len: 18.0143
Model description
-----------------
More information needed
... | [
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null | transformers |
## THIS PROTEIN VEC ADAPTATION WAS MODIFIED FROM https://github.com/tymor22/protein-vec
All credit for the original work goes to Tymor Hamamsy and the following authors of this paper https://www.biorxiv.org/content/10.1101/2023.11.26.568742v1
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## THIS PROTEIN VEC ADAPTATION WAS MODIFIED FROM URL
All credit for the original work goes to Tymor Hamamsy and the following authors of this paper 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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text-generation | transformers | I cut my TinyLlama 1.1B cinder v 2 down from 22 layers to 14. At 14 there was no coherent text but there were emerging ideas of a response. I then trained on the Reason with Cinder dataset and prunned the model again to 11 layers and only emerging responses. I then trained on a subset of open orca, sharegpt, cinder aga... | {"license": "mit"} | Josephgflowers/Tinyllama-616M-Cinder-DPO-With-GGUF | 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": []} | OwOOwO/srry_i_love_you1 | 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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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Locutusque/Hercules-4.0-Yi-34B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Hercules-4.0-Yi-34B-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refe... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["medical", "science", "biology", "chemistry", "not-for-all-audiences"], "datasets": ["Locutusque/hercules-v4.0"], "base_model": "Locutusque/Hercules-4.0-Yi-34B", "quantized_by": "mradermacher"} | mradermacher/Hercules-4.0-Yi-34B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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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/Uncle15 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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reinforcement-learning | null |
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
```python
{'exp_name': 'argument_parser'
'gym_id': 'CartPole-v1'
'learning_rate': 0.00025
'seed': 1
'total_timesteps': 25000
'torch_deterministic': True
'cuda': False
'mac_gpu': F... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | WokeEngineer/Custom-PPO-LunarLander-v2 | null | [
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|
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
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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": []} | KaggleMasterX/Roberta6ep | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KaggleMasterX/RobertaTok6ep | 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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | jonghwanbaek1/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1607
* F1: 0.8600
Model description
-----------------
More information needed
Intended uses... | [
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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. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | Abou-Zithar/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1384
* F1: 0.8653
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers |
## Why should you use this and not the titotken included in the orignal model?
Original tokenizer pad vocabulary to correct size with `<extra_N>` tokens but encoder never uses them causing inconsistency and deterimental to training code that may want to use the unused `<extra_N>` tokens.
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|
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null | transformers |
## Why should you use this and not the tiktoken included in the orignal 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/facebook-opt-6.7b-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;">
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![Twitter](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 | null | # chat compAnIon
<br />
<div align="center">
<a href="https://github.com/chatcompAnIon/chatcompAnIon">
<img src="https://raw.githubusercontent.com/cleemazzulla/chatcompAnIon/main/Chat%20Companion%20Logo.png" alt="Logo" width="400" height="400">
</a>
<h3 align="center">Welcome to chat compAnIon's repo!</h3>
... | {"license": "mit"} | chatcompanion/compAnIonv1 | null | [
"arxiv:1708.02002",
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| chat compAnIon
==============
### Welcome to chat compAnIon's repo!
<a href="URL our Webpage»</strong>
Model Overview
--------------
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw4.6 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712110283030x380024702146520640
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": ["RickGrimes001/neymar2"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "TOK", "inference": false} | squaadinc/1712110283030x380024702146520640 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:RickGrimes001/neymar2",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-03T02:11:34+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/neymar2 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712110283030x380024702146520640
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712110283030x380024702146520640\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/neymar2 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1712110283030x380024702146520640\nThese are LoRA adaption weights for stabilityai/stable-dif... | [
66,
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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/neymar2 #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n# LoRA DreamBooth - squaadinc/1712110283030x380024702146520640\nThese are LoRA adaption weights for stabilityai/stable-diffusion... |
null | null | import requests
API_URL = "https://api-inference.huggingface.co/models/Kvikontent/midjourney-v6"
headers = {"Authorization": "Bearer HUGGINGFACE_API_TOKEN"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.content
image_bytes = query({
"inputs": "Astrona... | {} | Thomas121/Thomas | null | [
"region:us"
] | null | 2024-04-03T02:11:41+00:00 | [] | [] | TAGS
#region-us
| import requests
API_URL = "URL
headers = {"Authorization": "Bearer HUGGINGFACE_API_TOKEN"}
def query(payload):
response = URL(API_URL, headers=headers, json=payload)
return response.content
image_bytes = query({
"inputs": "Astronaut riding a horse",
})
# You can access the image with PIL.Image for example... | [
"# You can access the image with PIL.Image for example\nimport io\nfrom PIL import Image\nimage = URL(io.BytesIO(image_bytes))"
] | [
"TAGS\n#region-us \n",
"# You can access the image with PIL.Image for example\nimport io\nfrom PIL import Image\nimage = URL(io.BytesIO(image_bytes))"
] | [
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] | [
"TAGS\n#region-us \n# You can access the image with PIL.Image for example\nimport io\nfrom PIL import Image\nimage = URL(io.BytesIO(image_bytes))"
] |
null | null | import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("stabilityai/StableBeluga-13B", use_fast=False)
model = AutoModelForCausalLM.from_pretrained("stabilityai/StableBeluga-13B", torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto"... | {} | Thomas121/ThomasAPI | null | [
"region:us"
] | null | 2024-04-03T02:11:51+00:00 | [] | [] | TAGS
#region-us
| import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("stabilityai/StableBeluga-13B", use_fast=False)
model = AutoModelForCausalLM.from_pretrained("stabilityai/StableBeluga-13B", torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto"... | [
"### System:\\nYou are Stable Beluga 13B, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal.\\n\\n\"\n\nmessage = \"Write me a poem please\"\nprompt = f\"{system_prompt}### User: {message}\\n\\n### Assistant:\\n\"\ninputs = tokenizer(prompt, re... | [
"TAGS\n#region-us \n",
"### System:\\nYou are Stable Beluga 13B, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal.\\n\\n\"\n\nmessage = \"Write me a poem please\"\nprompt = f\"{system_prompt}### User: {message}\\n\\n### Assistant:\\n\"\ninpu... | [
5,
167
] | [
"TAGS\n#region-us \n### System:\\nYou are Stable Beluga 13B, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal.\\n\\n\"\n\nmessage = \"Write me a poem please\"\nprompt = f\"{system_prompt}### User: {message}\\n\\n### Assistant:\\n\"\ninputs = t... |
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. -->
# V0402MP6
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0402MP6", "results": []}]} | Litzy619/V0402MP6 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-03T02:12:08+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0402MP6
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1571
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulatio... | [
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"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_st... |
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. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | jonghwanbaek1/xlm-roberta-base-finetuned-panx-fr | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T02:12:15+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2654
* F1: 0.8434
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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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": []} | vkk1710/phi2-AutoNER | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T02:14:51+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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# 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- Devel... | [
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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. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | jonghwanbaek1/xlm-roberta-base-finetuned-panx-it | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T02:15:09+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2582
* F1: 0.8241
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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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. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | jonghwanbaek1/xlm-roberta-base-finetuned-panx-en | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T02:16:53+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3764
* F1: 0.6944
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | LDDon/distilgpt2-finetuned-wikitext2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T02:17:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3188
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### 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: 3.0",
"### Traini... | [
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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. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | jonghwanbaek1/xlm-roberta-base-finetuned-panx-all | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T02:18:49+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1755
* F1: 0.8525
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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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. -->
# Distil-Whisper Small zh-HK - Alvin
- This model is a distilled version of [alvanlii/whisper-small-cantonese](https://huggingface.... | {"language": ["zh"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Distil-Whisper Small zh-HK - Alvin", "results": [{"task": {"type": "automatic-speech-recognition", "nam... | alvanlii/distil-whisper-small-cantonese | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"zh",
"dataset:mozilla-foundation/common_voice_11_0",
"arxiv:2201.02419",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"re... | null | 2024-04-03T02:24:28+00:00 | [
"2201.02419"
] | [
"zh"
] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #zh #dataset-mozilla-foundation/common_voice_11_0 #arxiv-2201.02419 #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Distil-Whisper Small zh-HK - Alvin
==================================
* This model is a distilled version of alvanlii/whisper-small-cantonese on the Cantonese language.
* Achieves a 9.7 CER (without punctuations), 11.59 CER (with punctuations) on Common Voice 16.0.
* Has 3 decoder layers instead of regular 12 of the ... | [] | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_5.0_SFT
<!-- 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 planne... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_5.0_SFT", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_Cyber_5.0_SFT-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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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": []} | datasciathlete/ke-t5-base-aihub-nmt-short-bs8-lr5e4-wd001-e2 | null | [
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"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw4.8 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
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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... | SungJinD/ppo-LunarLander-v2-optuna | null | [
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"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T02:34:23+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-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-opt-1.3b-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](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": []} | ntvcie/gemma_Vinh_test_01 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Nelver28/Mistral_Instruct_ChatBj | 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. -->
# token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch
This model is a fine-tuned version of [FacebookAI/xlm-rober... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch | null | [
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| token-classification-llmlingua2-xlm-roberta-bctn-538\_sample-10\_epoch
======================================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5526
Model descri... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# tush1308/Fine_Tune_T5_Model_News_Summarization
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "tush1308/Fine_Tune_T5_Model_News_Summarization", "results": []}]} | tush1308/Fine_Tune_T5_Model_News_Summarization | null | [
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| tush1308/Fine\_Tune\_T5\_Model\_News\_Summarization
===================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.9113
* Validation Loss: 1.6949
* Train Lr: 2e-05
* Epoch: 0
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text-to-image | diffusers | ### My-Favorite-animal-Tiger-debu Dreambooth model trained by Debraj00 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 27900121015
Sample pictures of this concept:
![0](https://huggingface.co/Debraj00/my-favorite-animal-tiger-debu/resolve/main/sample_images/a_tiger_sitting_... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | Debraj00/my-favorite-animal-tiger-debu | null | [
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| ### My-Favorite-animal-Tiger-debu Dreambooth model trained by Debraj00 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 27900121015
Sample pictures of this concept:
!0
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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": []} | tas444/mistral-7b-PPP | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | import time
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel, PeftConfig
# 모델과 토크나이저 초기화
tokenizer = AutoTokenizer.from_pretrained("daekeun-ml/phi-2-ko-v0.1")
base_model = AutoModelForCausalLM.from_pretrained("daekeun-ml/phi-2-ko-v0.1")
config = Pe... | {} | ledu1017/phi2-ko-mental-chat | null | [
"safetensors",
"region:us"
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#safetensors #region-us
| import time
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel, PeftConfig
# 모델과 토크나이저 초기화
tokenizer = AutoTokenizer.from_pretrained("daekeun-ml/phi-2-ko-v0.1")
base_model = AutoModelForCausalLM.from_pretrained("daekeun-ml/phi-2-ko-v0.1")
config = Pe... | [
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text-to-image | diffusers | # sdxl-db-leo
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/technozoom/stablediffusionleo/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "photo of sks leoandresmessi in synthwave sunset background", "output": {"url": "images/2024-04-03_08-16.png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0"} | technozoom/stablediffusionleo | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # sdxl-db-leo
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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/KoboldAI-OPT-6B-nerys-v2-bnb-4bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![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
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-34b-3.3
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/airoboros-34b-3.3-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/... | mradermacher/airoboros-34b-3.3-i1-GGUF | null | [
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-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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-7B-sql
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral-7B-sql", "results": []}]} | octadion/mistral-7B-sql | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T02:54:03+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.1 #license-apache-2.0 #region-us
|
# mistral-7B-sql
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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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:
* [coffiee/s31](https://huggingface.co/coffiee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s31", "rwh/s1"]} | Sumail/Barista20 | null | [
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"autotrain_compatible",
"endpoints_compatible",
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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:
* coffiee/s31
* rwh/s1
### Configuration
The following YAML configuration was use... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw5 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
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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;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](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": []} | Renato0402/whisper-large-v3-teste-med-tudocv-tudomed | null | [
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text-generation | transformers |
# Eresh | {"tags": ["conservation"]} | Numaku/Ereshv1 | 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;">
... | {"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/VMware-open-llama-7b-v2-open-instruct-bnb-8bit-smashed | null | [
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![Twitter](URL
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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. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | LDDon/distilroberta-base-finetuned-wikitext2 | null | [
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| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7293
Model description
-----------------
More information needed
Intended uses & limi... | [
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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/Uncle2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViT_Flower102
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "ViT_Flower102", "results": []}]} | KietZer0/ViT_flower102 | null | [
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| ViT\_Flower102
==============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0587
* Accuracy: 0.9853
* Precision: 0.9853
* Recall: 0.9853
* F1: 0.9853
Model description
-----------------
More infor... | [
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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": []} | rajivmandal/gpt2-reuters-tokenizer | null | [
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text-generation | null |
## Exllama v2 Quantizations of Aethora-7b-v1
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains ... | {"license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Steelskull/Aether"], "Model": ["Mistral-7B-Instruct-v0.2"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Aethora-7b-v1-exl2 | null | [
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| Exllama v2 Quantizations of Aethora-7b-v1
-----------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
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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/VMware-open-llama-7b-open-instruct-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw5.5 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | bunnyTech/LunarLander-v2-ppo-unit8p1 | null | [
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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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-opt-6.7b-bnb-8bit-smashed | null | [
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![Twitter](URL
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "NousResearch/Llama-2-7b-chat-hf"} | aaru2330/llama | null | [
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## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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tabular-classification | sklearn |
# Model description
The possible classified predictions are:
'No Mental Illness', 'Yes Mental Illness'
The predictors are:
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#sklearn #skops #tabular-classification #license-apache-2.0 #region-us
| Model description
=================
The possible classified predictions are:
'No Mental Illness', 'Yes Mental Illness'
The predictors are:
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [coffiee/s31](https://huggingface.co/coffiee/s31) as a base.
### Models Me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s31", "rwh/s1", "tomaszki/stablelm-5-copy"]} | Sumail/Barista21 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using coffiee/s31 as a base.
### Models Merged
The following models were included in the merge:
* rwh/s1
* tomaszki/stablelm-5-copy
### Configuration
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text2text-generation | transformers |
Base Model: `google/t5-small`
A seq2seq event triggers and entities tagger trained on the dataset: `ahmeshaf/ecb_plus_ed`
## Usage
Input:
```shell
triggers: I like this model and hate this sentence
```
Output:
```shell
like | hate
```
- Python
### Using .generate()
```python
from transformers impor... | {"license": "apache-2.0"} | ahmeshaf/ecb_tagger_seq2seq | null | [
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|
Base Model: 'google/t5-small'
A seq2seq event triggers and entities tagger trained on the dataset: 'ahmeshaf/ecb_plus_ed'
## Usage
Input:
Output:
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-Vsl-Lab-PC-V7
This model was trained from scratch on an unknown dataset.
It achieves the following results on the ... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "videomae-base-Vsl-Lab-PC-V7", "results": []}]} | Ham1mad1/videomae-base-Vsl-Lab-PC-V7 | null | [
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| videomae-base-Vsl-Lab-PC-V7
===========================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1302
* Accuracy: 0.8326
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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text-generation | peft |
# Model Card for Model ID
This PEFT weight is for predicting BTC price.
Disclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.
## Model Details
Training data source: BTC/USD provided by [Binance](h... | {"language": ["en"], "license": "llama2", "library_name": "peft", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "model_name": "Llama 2 13B Chat", "base_model": "DavidLanz/Llama2-tw-13B-v2.0-chat", "inference": false, "model_creator": "Meta Llama 2", "model_type": "llama", "pipeline_tag": "text-generation... | DavidLanz/llama2_13b_taiwan_btc_qlora | null | [
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|
# Model Card for Model ID
This PEFT weight is for predicting BTC price.
Disclaimer: This model is for a time series problem on LLM performance, and it's not for investment advice; any prediction results are not a basis for investment reference.
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Training data source: BTC/USD provided by Binance.
#... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | collison/SYD001 | 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. -->
# MRPC
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC datase... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "MRPC", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MRPC",... | madsci/MRPC | null | [
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| MRPC
====
This model is a fine-tuned version of bert-base-uncased on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
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* F1: 0.8122
* Combined Score: 0.7480
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![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 | # What is this?
32k context length version of [HyouKan-3x7B](https://huggingface.co/mradermacher/HyouKan-3x7B). Dunno if it better or worse.
# You may want see this: https://huggingface.co/Alsebay/My_LLMs_Leaderboard | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "Roleplay"]} | Alsebay/HyouKan-3x7B-V2-32k | null | [
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| # What is this?
32k context length version of HyouKan-3x7B. Dunno if it better or worse.
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
This model is intended to be used as a bas... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | blockblockblock/Mistral-12.25B-Instruct-v0.2-bpw6 | null | [
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|
# Credit for the model card's description goes to ddh0, mergekit, and, mistralai
# Mistral-12.25B-Instruct-v0.2
This is Mistral-12.25B-Instruct-v0.2, a depth-upscaled version of mistralai/Mistral-7B-Instruct-v0.2.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
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text-generation | transformers | # Sue_Ann_Franken
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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* ../../../mnt/e/text-generati... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | Datters/Sue_Ann_11B | null | [
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#transformers #safetensors #mistral #text-generation #mergekit #merge #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Sue_Ann_Franken
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* ../../../mnt/e/text-generation-webui/models/Sue_Ann-7b-final
###... | [
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text-generation | null |
## Llamacpp Quantizations of Aethora-7b-v1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2581">b2581</a> for quantization.
Original model: https://huggingface.co/Steelskull/Aethora-7b-v1
Download a file (not the whole bran... | {"license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Steelskull/Aether"], "Model": ["Mistral-7B-Instruct-v0.2"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Aethora-7b-v1-GGUF | null | [
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#gguf #not-for-all-audiences #text-generation #dataset-Steelskull/Aether #license-apache-2.0 #region-us
| Llamacpp Quantizations of Aethora-7b-v1
---------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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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. -->
# distillber-squadv2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distillber-squadv2", "results": []}]} | hskfd/distillber-squadv2 | null | [
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"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# distillber-squadv2
This model is a fine-tuned version of distilbert-base-uncased 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 hyperparame... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nobita3921/OverBloom-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them.... | {"language": ["en"], "library_name": "transformers", "base_model": "nobita3921/OverBloom-7b", "quantized_by": "mradermacher"} | mradermacher/OverBloom-7b-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-nobita3921/OverBloom-7b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | 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. -->
# gemma-recommendation_final2
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b-it", "model-index": [{"name": "gemma-recommendation_final2", "results": []}]} | PasinduProjects/gemma-recommendation_final2 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-other #region-us
|
# gemma-recommendation_final2
This model is a fine-tuned version of google/gemma-7b-it on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
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"## Training and evaluation data\n\nMore information needed",
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null | null | Number of experts present in the library: 10
| Expert Name | Base Model | Trained on | Adapter Type |
| --- | --- | --- | --- |
| c6o10 | mistralai/Mistral-7B-v0.1 | sordonia/flan-10k-flat/cos_e_v1_11_description_question_option_text,cos_e_v1_11_question_description_option_text,cos_e_v1_11_question_option_description_... | {} | ostapeno/library-mistral7B_flan_10clsuters_3ep_lr1e-4 | null | [
"region:us"
] | null | 2024-04-03T03:58:16+00:00 | [] | [] | TAGS
#region-us
| Number of experts present in the library: 10
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text-generation | transformers |
## Model Details
This model is an int8 model quantized from [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) using SmoothQuant.
## Env setup
[Environment Setup](https://github.com/intel/intel-extension-for-pytorch/tree/release/2.2/examples/cpu/inference/python/llm#3-environment-setup)
## Inferece
Use I... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference"], "datasets": ["NeelNanda/pile-10k"]} | Intel/falcon-7b-sq-int8-inc | null | [
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| Model Details
-------------
This model is an int8 model quantized from tiiuae/falcon-7b using SmoothQuant.
Env setup
---------
Environment Setup
Inferece
--------
Use IPEX 2.2
Evaluate
--------
### Evaluate the model
### Results
Metric: Avg., fp32: 0.6982, int8 sq: 0.6992
Metric: lambada\_openai, fp32... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ntvcie/gemma_Vinh_test_02 | 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 | # What is this?
Another version of [Hyoukan-3x7b](https://huggingface.co/Alsebay/HyouKan-3x7B) but have 32k context lenght (like version 2).
# You may want see this: https://huggingface.co/Alsebay/My_LLMs_Leaderboard | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "Roleplay"]} | Alsebay/HyouKan-3x7B-V2.1-32k | null | [
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Another version of Hyoukan-3x7b but have 32k context lenght (like version 2).
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text-generation | transformers | # SchizoGPT 132B
Fine tuned on r/ChatGPT Discord #general dump. \
Merged into bfloat16 using [v2ray/dbrx-base-fixed](https://huggingface.co/v2ray/dbrx-base-fixed) as base and [v2ray/SchizoGPT-132B-QLoRA](https://huggingface.co/v2ray/SchizoGPT-132B-QLoRA) as QLoRA.
## Prompt Template
```
### Username
Message(s)(Can be s... | {"language": ["en"], "license": "mit", "tags": ["not-for-all-audiences"], "datasets": ["v2ray/r-chatgpt-general-dump"], "pipeline_tag": "text-generation"} | v2ray/SchizoGPT-132B | null | [
"transformers",
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"dbrx",
"text-generation",
"not-for-all-audiences",
"custom_code",
"en",
"dataset:v2ray/r-chatgpt-general-dump",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T04:12:15+00:00 | [] | [
"en"
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#transformers #safetensors #dbrx #text-generation #not-for-all-audiences #custom_code #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SchizoGPT 132B
Fine tuned on r/ChatGPT Discord #general dump. \
Merged into bfloat16 using v2ray/dbrx-base-fixed as base and v2ray/SchizoGPT-132B-QLoRA as QLoRA.
## Prompt Template
Use '@username' to ping a user and '#channel name' to mention a channel. \
Prepend '<Re: username>' before a message to respond to a use... | [
"# SchizoGPT 132B\nFine tuned on r/ChatGPT Discord #general dump. \\\nMerged into bfloat16 using v2ray/dbrx-base-fixed as base and v2ray/SchizoGPT-132B-QLoRA as QLoRA.",
"## Prompt Template\n\nUse '@username' to ping a user and '#channel name' to mention a channel. \\\nPrepend '<Re: username>' before a message to... | [
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text-generation | transformers |
# YamshadowExperiment27pastiche-7B
YamshadowExperiment27pastiche-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)
## 🧩 Configuration
```yaml
mode... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/Experiment27Pastiche-7B"]} | automerger/YamshadowExperiment27pastiche-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:automerger/Experiment27Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T04:13:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-automerger/Experiment27Pastiche-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# YamshadowExperiment27pastiche-7B
YamshadowExperiment27pastiche-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/Experiment27Pastiche-7B
## Configuration
## Usage
| [
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"## Usage"
] | [
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"# YamshadowExperiment27pastiche-7B\n\nYamshadowExperimen... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/louisbrulenaudet/Pearl-34B-ties
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Pearl-34B-ties-GGUF
## Usage
If you are unsure how to use GGUF files, refer to on... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "jondurbin/bagel-dpo-34b-v0.2", "abacusai/MetaMath-Bagel-DPO-34B"], "base_model": "louisbrulenaudet/Pearl-34B-ties", "quantized_by": "mradermacher"} | mradermacher/Pearl-34B-ties-i1-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"jondurbin/bagel-dpo-34b-v0.2",
"abacusai/MetaMath-Bagel-DPO-34B",
"en",
"base_model:louisbrulenaudet/Pearl-34B-ties",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T04:15:00+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #jondurbin/bagel-dpo-34b-v0.2 #abacusai/MetaMath-Bagel-DPO-34B #en #base_model-louisbrulenaudet/Pearl-34B-ties #license-apache-2.0 #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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] | [
83
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"TAGS\n#transformers #gguf #merge #mergekit #jondurbin/bagel-dpo-34b-v0.2 #abacusai/MetaMath-Bagel-DPO-34B #en #base_model-louisbrulenaudet/Pearl-34B-ties #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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/KoboldAI-OPT-6.7B-Erebus-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"opt",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-03T04:15:11+00:00 | [] | [] | TAGS
#transformers #safetensors #opt #text-generation #pruna-ai #autotrain_compatible #endpoints_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>
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![GitHub](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... | [
"TAGS\n#transformers #safetensors #opt #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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 com... | [
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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": []} | AlanYky/flan-phi2-sybol-10k | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T04:21:48+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.
- 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 #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# 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- Devel... | [
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3,
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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/KoboldAI-OPT-6.7B-Nerybus-Mix-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"opt",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-03T04:22:25+00:00 | [] | [] | TAGS
#transformers #safetensors #opt #text-generation #pruna-ai #autotrain_compatible #endpoints_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 #opt #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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 com... | [
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"TAGS\n#transformers #safetensors #opt #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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 ... |
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