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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | HanliangXu/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6119
* Bleu: 5.6824
* Gen Len: 17.6109
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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text-to-image | diffusers | # Vshojo - Matara Kan
<Gallery />
## Model description
Matara Kan From VShojo!
Trained on 2 outfits, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Debut Outfit: `... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "masterpiece, best quality, 1girl, <lora:spmatarakan15:1> matarakandef, extra arms, antennae, cleavage, cleavage cutout, white dress, navel, daruma doll, upper body, white ba... | Shalie/VShojoMataraKanv2 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-AstraliteHeart/pony-diffusion-v6 #license-creativeml-openrail-m #region-us
| # Vshojo - Matara Kan
<Gallery />
## Model description
Matara Kan From VShojo!
Trained on 2 outfits, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
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Debut Outfit: '... | [
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text-generation | transformers |
Meow.
This an experimental mixture of expert model with just 2 experts based on Llama 3 Instruct plain in combo with finetune. Specifically, it is built on top of the Meta-Llama-3-8B-Instruct model and finetune is trained on Argilla Capybara dataset.
>[!TIP]Experimental mixture of 2 experts Llama3-8b-Instruct
>
>... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["moe"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | nisten/llama3-2x8b-MoE-41k-experiment1 | null | [
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Meow.
This an experimental mixture of expert model with just 2 experts based on Llama 3 Instruct plain in combo with finetune. Specifically, it is built on top of the Meta-Llama-3-8B-Instruct model and finetune is trained on Argilla Capybara dataset.
>[!TIP]Experimental mixture of 2 experts Llama3-8b-Instruct
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text-classification | transformers |
# VetBERT Disease Syndrome Classifier
This is a finetuned version of the [VetBERT](https://huggingface.co/havocy28/VetBERT) model, designed to classify the disease syndrome within a veterinary clinical note.
<!-- Provide a quick summary of what the model is/does. -->
This pretrained model is designed for performing... | {"language": "en", "tags": ["veterinary", "pets", "classification", "vetbert", "BERT"], "widget": [{"text": "Hx: 7 yo canine with history of vomiting intermittently since yesterday. No other concerns. Still eating and drinking normally. cPL negative.", "example_title": "Enteropathy"}]} | havocy28/VetBERTDx | null | [
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This is a finetuned version of the VetBERT model, designed to classify the disease syndrome within a veterinary clinical note.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
jmodel/gemma-2b-frozen-mlp.gate_proj-zh__checkpoint-25000
## 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... | {"library_name": "transformers", "tags": []} | jmodel/gemma-2b-zh-sparse-on-gate | null | [
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jmodel/gemma-2b-frozen-mlp.gate_proj-zh__checkpoint-25000
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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. -->
# results-Meta-Llama-3-8B-qlora-pos-no-lang
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "results-Meta-Llama-3-8B-qlora-pos-no-lang", "results": []}]} | AlienKevin/Meta-Llama-3-8B-qlora-pos-no-lang | null | [
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| results-Meta-Llama-3-8B-qlora-pos-no-lang
=========================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4319
Model description
-----------------
More information needed
Intend... | [
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage1-1B-224p-K700 | null | [
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# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
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- Point of Contact: mailto:InternVideo Group
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers", "widget": [{"text": "gorge Papersculpting"}, {"text": "desert Papersculpting"}, {"text": "city Papersculpting"}, {"text": "grand canyon Papersculpting"}]} | MVRL/geosynth-papersculpting | null | [
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null | peft |
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-50-0.001 | null | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
Using Unit 6 Deep Reinforcement Learning, this project was aimed at using an Ad... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | nandinitatiwala/a2c-PandaReachDense-v3 | null | [
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
Using Unit 6 Deep Reinforcement Learning, this project was aimed at using an Advantage Actor-Critic (A2C) agent to train a robotic arm
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text-to-image | diffusers | # HyeraXL
<Gallery />
## Trigger words
You should use `Hyera` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/ORILIN024/HyeraXL/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/dfa8f5df-d51f-47cd-88b0-f7a5a03e7dd2.png"}}], "base_model": "cagliostrolab/animagine-xl-3.1", "instance_prompt": "Hyera"} | ORILIN024/HyeraXL | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #region-us
| # HyeraXL
<Gallery />
## Trigger words
You should use 'Hyera' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - Nekodigi/textual_inversion_cat
These are textual inversion adaption weights f... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "inference": true, "base_model": "runwayml/stable-diffusion-v1-5"} | Nekodigi/textual_inversion_cat | null | [
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|
# Textual inversion text2image fine-tuning - Nekodigi/textual_inversion_cat
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples o... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Original Name: jmodel/gemma-2b-frozen-mlp-zh__checkpoint-25000
## 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 pus... | {"library_name": "transformers", "tags": []} | jmodel/gemma-2b-zh-sparse-on-mlp | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Original Name: jmodel/gemma-2b-full-sft-zh-cosine__checkpoint-25000
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has be... | {"library_name": "transformers", "tags": []} | jmodel/gemma-2b-zh-full | null | [
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage1-1B-224p-f8-SthSth | null | [
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# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
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- Point of Contact: mailto:InternVideo Group
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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... | {"language": ["en"], "library_name": "transformers", "datasets": ["mlabonne/guanaco-llama2-1k"], "pipeline_tag": "text-generation"} | MituK/LlamaWiGTest1-merged-peft | null | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | kanhatakeyama/0425_6700b_no_rope_step30k | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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null | transformers |
# Uploaded model
- **Developed by:** jurieyel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | jurieyel/unsloth_mistral-7b-instruct-v0.2-bnb-4bit | null | [
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# Uploaded model
- Developed by: jurieyel
- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | maywell/miqu-evil-dpo | null | [
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|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
## Prompt template: Mistral Inst
## Disclaimer
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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": []} | shleeeee/EEVE-custom-sft | null | [
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text-generation | transformers | # 🔎Taiwan-inquiry_7B_v2.1-awq
- Model creator: [Joseph (Chen-Wei) Li](https://www.linkedin.com/in/joseph-li-3a453b231/)
- Original model: [Taiwan-inquiry_7B_2.1](https://huggingface.co/ChenWeiLi/Taiwan-inquiry_7B_v2.1)
## Reference
- [LLM量化實作-AWQ量化](https://medium.com/@pang2258/llm%E9%87%8F%E5%8C%96%E5%AF%A6%E4%BD%9C... | {"license": "apache-2.0"} | ChenWeiLi/Taiwan-inquiry_7B_v2.1-awq | null | [
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| # Taiwan-inquiry_7B_v2.1-awq
- Model creator: Joseph (Chen-Wei) Li
- Original model: Taiwan-inquiry_7B_2.1
## Reference
- LLM量化實作-AWQ量化 | [
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null | transformers |
# Uploaded model
- **Developed by:** gnokit
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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|
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/Dryad-7B-ties
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "DreadPoor/Ceasg-7B-ties", "ResplendentAI/Datura_7B"], "base_model": "DreadPoor/Dryad-7B-ties", "quantized_by": "mradermacher"} | mradermacher/Dryad-7B-ties-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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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Abhinay123/wav2vec2_vedas_iast_epoch_final | 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": []} | devkya/openai-whisper-medium-ko-transcribe-self | null | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shimalabaudio-20240425
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "shimalabaudio-20240425", "results": []}]} | Anguuuuus/shimalabaudio-20240425 | null | [
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| shimalabaudio-20240425
======================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9754
* Accuracy: 0.3846
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - HoangDuyICT/dress-in-dsdress
<Gallery />
## Model description
### These are HoangDuyICT/dress-in-dsdress LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`dre... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "DSDRESS, a woman wearing a white dress with a long sleeve", "output": {"url": "image_0.png"}}, {"text": "DSDRESS, a woman weari... | HoangDuyICT/dress-in-dsdress | null | [
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"region:us"
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|
# SDXL LoRA DreamBooth - HoangDuyICT/dress-in-dsdress
<Gallery />
## Model description
### These are HoangDuyICT/dress-in-dsdress LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download 'dress-in-d... | [
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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": []} | Cadenza-Labs/dolphin-llama3-8B-sleeper-agent-standard-lora | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | brunhild217/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
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* Bleu: 0.2047
* Gen Len: 18.0854
Model description
-----------------
More information needed
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage1-1B-224p-f8-MiT | null | [
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|
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- Repository: InternVideo2
- Paper: 2403.15377
- Point of Contact: mailto:InternVideo Group
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text-generation | transformers | <!-- header start -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
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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. -->
# opt-350m_ft_test2
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "opt-350m_ft_test2", "results": []}]} | underactuated/opt-350m_ft_test2 | null | [
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# opt-350m_ft_test2
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperpa... | [
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.8_Seed102 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.8_Seed102 | 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. -->
# my_awesome_model
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/mobilebert-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | HanliangXu/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of google/mobilebert-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2025
* Accuracy: 0.9374
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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sentence-similarity | sentence-transformers |
# approximatelylinear/distilroberta-base-nli-matryoshka
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transform... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | approximatelylinear/distilroberta-base-nli-matryoshka | null | [
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|
# approximatelylinear/distilroberta-base-nli-matryoshka
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-... | [
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text-generation | transformers | # Chaos RP
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minim... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["ChaoticNeutrals/IQ_Test_l3_8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | zaq-hack/Chaos_RP_l3_8B-bpw600-h6-exl2-rpcal | null | [
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| # Chaos RP
!image/png
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minimum of effort.
Enjoy! | [
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-50-0.002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - krishna4244/lora-trained-xl
<Gallery />
## Model description
These are krishna4244/lora-traine... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of sks bulilding... | krishna4244/lora-trained-xl | null | [
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|
# SDXL LoRA DreamBooth - krishna4244/lora-trained-xl
<Gallery />
## Model description
These are krishna4244/lora-trained-xl LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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Special VAE used for trainin... | [
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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. -->
# finetuning-sentiment-model
This model is a fine-tuned version of GPT2 on an IMDb dataset.
It achieves the following results on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | dhrubochowdhury5758778/IMDb-gpt2 | null | [
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|
# finetuning-sentiment-model
This model is a fine-tuned version of GPT2 on an IMDb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3105
- Accuracy: 0.92
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation dat... | [
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sentence-similarity | sentence-transformers |
# AhmetAytar/all-mpnet-base-v2-fine-tuned_5_textbook
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | AhmetAytar/all-mpnet-base-v2-fine-tuned_5_textbook | null | [
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# AhmetAytar/all-mpnet-base-v2-fine-tuned_5_textbook
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-tra... | [
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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": []} | devkya/openai-whisper-small-ko-transcribe-self | null | [
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null | null |
# kat33/Mixtral-8x7B-Instruct-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from [`mistralai/Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | kat33/Mixtral-8x7B-Instruct-v0.1-Q4_K_S-GGUF | null | [
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# kat33/Mixtral-8x7B-Instruct-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from 'mistralai/Mixtral-8x7B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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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. -->
# opt-350m_ft_test3
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "opt-350m_ft_test3", "results": []}]} | underactuated/opt-350m_ft_test3 | null | [
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|
# opt-350m_ft_test3
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperpa... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/MultiverseBuddy-15B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "OpenBuddy/openbuddy-mistral2-7b-v20.2-32k"], "base_model": "allknowingroger/MultiverseBuddy-15B-MoE", "quantized_by": "mradermacher... | mradermacher/MultiverseBuddy-15B-MoE-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | # This model isn't particularly great. It's just an undercooked experiment.
Releasing it anyways just in case it accidentally makes good merge meat.
# It also has a tendency to produce mature content without warning.
This model is tuned off of the base Llama-3-8B model.
I adapted the leaked Undi dataset into tra... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | Envoid/Llama-3-8B-EGO | null | [
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"license:cc-by-nc-4.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #not-for-all-audiences #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # This model isn't particularly great. It's just an undercooked experiment.
Releasing it anyways just in case it accidentally makes good merge meat.
# It also has a tendency to produce mature content without warning.
This model is tuned off of the base Llama-3-8B model.
I adapted the leaked Undi dataset into tra... | [
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feature-extraction | null | # Model Card for Model ID
This is an AnimateDiff Motion Lora model trained with 2000 steps
2000_natural_animated_talk_r64_temporal_unet
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
This is an AnimateDiff Motion Lora model trained with 2000 steps
### Model Description
Only personal use... | {"license": "unknown", "tags": ["Animatediff", " motion", " lora"], "pipeline_tag": "feature-extraction"} | pestxo/natural_talk_animated | null | [
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| # Model Card for Model ID
This is an AnimateDiff Motion Lora model trained with 2000 steps
2000_natural_animated_talk_r64_temporal_unet
## Model Details
This is an AnimateDiff Motion Lora model trained with 2000 steps
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null | null |
# Model Card for electric-turtle-0.1-FT
Our First model of a finetuned LLM on high quality data.
## Model Details
### Model Description
Electric-turtle-0.1-FT is our first public LLM. This model was finetuned on a dataset of high-quality data and was finetuned responsibly and with the environment in mind. To sup... | {"license": "apache-2.0"} | orionai/electric-turtle-0.1-FT | null | [
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# Model Card for electric-turtle-0.1-FT
Our First model of a finetuned LLM on high quality data.
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### Model Description
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null | null |
base model:llama-3-8B-instruct | {"license": "apache-2.0"} | unstoppable123/Llama-3-8B-chinese-lora-v0.1 | null | [
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_Italian_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https:... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_Italian_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_Italian_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_Italian_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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null | null |
# Cardiotensive sito ufficiale, Cardiotensive farmaco, Cardiotensive recensioni oggi, Cardiotensive cosa contiene, Cardiotensive opinioni negative, Cardiotensive altroconsumo, antiaggreganti nomi commerciali, farmaci cardiovascolari
## Sito Ufficiale di Cardiotensive:
Benvenuti nel sito ufficiale di Card... | {} | fafab34728/cardiotensive | null | [
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## Sito Ufficiale di Cardiotensive:
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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": []} | SulthanTriesToCode/Meta-Llama-3-8B-DoNot | 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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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. -->
# VTS_Model by Edgar
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vts_sample_data"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "VTS_Model by Edgar", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogniti... | idiotDeveloper/vts_to_text_1.0.0 | null | [
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| VTS\_Model by Edgar
===================
This model is a fine-tuned version of openai/whisper-large-v3 on the vts\_sample\_data dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1127
* Wer: 5.2632
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.0
<Gallery />
## Model descrip... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.0 | null | [
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|
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.0
<Gallery />
## Model description
These are cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0, for the purposes of
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text-generation | transformers |
# Keiana-L3-Test4.7-8B-3
Keiana-L3-Test4.7-8B-3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [jeiku/Average_Normie_l3_v1_8B](https://huggingface.co/jeiku/Average_Normie_l3_v1_8B)
* [Kaoeiri/Keiana-L3-Test4.6-8B-2](htt... | {"tags": ["merge", "mergekit", "lazymergekit", "jeiku/Average_Normie_l3_v1_8B", "Kaoeiri/Keiana-L3-Test4.6-8B-2"], "base_model": ["jeiku/Average_Normie_l3_v1_8B", "Kaoeiri/Keiana-L3-Test4.6-8B-2"]} | Kaoeiri/Keiana-L3-Test4.7-8B-3 | null | [
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# Keiana-L3-Test4.7-8B-3
Keiana-L3-Test4.7-8B-3 is a merge of the following models using LazyMergekit:
* jeiku/Average_Normie_l3_v1_8B
* Kaoeiri/Keiana-L3-Test4.6-8B-2
## Configuration
## Usage
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text-generation | transformers |
I am really enjoying this version of Cinder. More information coming. As well as Cinder character specific data, a mix of RAG generated Q and A of world knowledge, STEM topics, and Cinder Character data. I suplimented the Cinder character with an abreviated Samantha dataset edited for Cinder and removed a lot of the ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"text": "<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>\n"}]} | Josephgflowers/Phi-3-mini-4k-instruct-Cinder-with-16bit-GGUF | null | [
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text-generation | transformers | # About this model
This model can handle (limited) TSF content. If you Character Card have complex plot, maybe you should try other model (maybe bigger parameter?).
- This model have overfit 1 time, I don't expect it too good, but it stable than [v0.9](https://huggingface.co/Alsebay/Narumashi-11B-v0.9). Version 0.9 i... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "Roleplay", "roleplay"], "base_model": "Sao10K/Fimbulvetr-11B-v2"} | Alsebay/Narumashi-11B | null | [
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| # About this model
This model can handle (limited) TSF content. If you Character Card have complex plot, maybe you should try other model (maybe bigger parameter?).
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | ghunkins/juggernautXL_hyper_4step | null | [
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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. -->
# opt-350m_ft_test4
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "opt-350m_ft_test4", "results": []}]} | underactuated/opt-350m_ft_test4 | null | [
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# opt-350m_ft_test4
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperpa... | [
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text-to-speech | transformers |
[X(Twitter) アカウント](https://twitter.com/peony__snow)
# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice g... | {"language": ["ja"], "license": "cc-by-sa-4.0", "tags": ["style-bert-vits2", "style-bert-vits2-jp-extra", "tts", "childish", "childish voice", "japanese", "text2audio", "text-to-audio", "text to audio", "audio"], "pipeline_tag": "text-to-speech"} | RikkaBotan/style_bert_vits2_jp_extra_sweet_original | null | [
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|
X(Twitter) アカウント
!image/png
# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice generation for free, both commercial and non-commercial.
このモデルはRikkaBotanのスイートバージョンです。
セリフの読み上げに適しています。
もしもっと硬く話してほしい場合は、coolバージョン
英語で話してほしい場合は... | [
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image-text-to-text | xtuner |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-phi-3-mini is a LLaVA model fine-tuned fr... | {"library_name": "xtuner", "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | xtuner/llava-phi-3-mini | null | [
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![Generic badge](URL
Model
-----
llava-phi-3-mini is a LLaVA model fine-tuned from microsoft/Phi-3-mini-4k-instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
Note: This model is in official LLaVA format.
Resources:
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text-to-speech | transformers |
[X(Twitter) アカウント](https://twitter.com/peony__snow)
# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice g... | {"language": ["ja"], "license": "cc-by-sa-4.0", "tags": ["style-bert-vits2", "style-bert-vits2-jp-extra", "tts", "childish", "childish voice", "japanese", "text2audio", "text-to-audio", "text to audio", "audio"], "pipeline_tag": "text-to-speech"} | RikkaBotan/style_bert_vits2_jp_extra_cool_original | null | [
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|
X(Twitter) アカウント
!image/png
# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice generation for free, both commercial and non-commercial.
このモデルはRikkaBotanのクールバージョンです。
説明文の読み上げに適しています。
もしもっと感情的に話してほしい場合は、sweetバージョン
英語で話してほしい場... | [
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null | peft |
# Model Card for Model ID
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### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.8_Seed103 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | liamvbetts/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0077
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | ironheard/clasificador-muchocine | null | [
"transformers",
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"electra",
"text-classification",
"classification",
"generated_from_trainer",
"base_model:mrm8488/electricidad-base-discriminator",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T03:07:28+00:00 | [] | [] | TAGS
#transformers #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us
| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4331
* Accuracy: 0.4310
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... | [
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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": []} | ripaaiii/fine-tune-C1-stage1_5epoch | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T03:08:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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)... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermac... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-m... | mradermacher/dolphin-2.9-llama3-70b-GGUF | null | [
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"dat... | null | 2024-04-25T03:10:49+00:00 | [] | [
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-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs128_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_2", "model-index": [{"name": "0.001_ablation_4iters_bs128_nodpo_iter_3", "results": []}]} | ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_3 | null | [
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"e... | null | 2024-04-25T03:12:11+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs128_nodpo_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_ablation_4iters_bs128_nodpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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text-to-image | diffusers | # BTD ARTSTYLE XL
<Gallery />
## Trigger words
You should use `Manhwa` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/ORILIN024/BTD_ART_STYLEXL/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/52ab3039395ef8f7d68cd028bcb5b40f_high.webp"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "BTD"} | ORILIN024/BTD_ART_STYLEXL | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-25T03:13:54+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # BTD ARTSTYLE XL
<Gallery />
## Trigger words
You should use 'Manhwa' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
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null | null |
# NikolayKozloff/Orbita-v0.1-Q5_K_M-GGUF
This model was converted to GGUF format from [`Orbina/Orbita-v0.1`](https://huggingface.co/Orbina/Orbita-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["tr"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "model-index": [{"name": "Orbita-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge TR", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args... | NikolayKozloff/Orbita-v0.1-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"tr",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-25T03:14:18+00:00 | [] | [
"tr"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #tr #license-apache-2.0 #model-index #region-us
|
# NikolayKozloff/Orbita-v0.1-Q5_K_M-GGUF
This model was converted to GGUF format from 'Orbina/Orbita-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# NikolayKozloff/Orbita-v0.1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'Orbina/Orbita-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gkMSDA/Llama-3-8b-FinChatGTP298_DJ30_Model_4 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T03:15:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Quantizations of https://huggingface.co/bigscience/bloom-3b
# From original readme
... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "bigscience", "bloom-3b"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/bloom-3b-imatrix-GGUF | null | [
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"bigscience",
"bloom-3b",
"text-generation",
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"license:other",
"region:us"
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] | TAGS
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| Quantizations of URL
# From original readme
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text-generation | transformers |
# Keiana-L3-Test4.8-8B-4
# Keep in mind that it's not yet tested, and I unsure if would work as planned.
Keiana-L3-Test4.8-8B-4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kaoeiri/Keiana-L3-Test4.7-8B-3](https://... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.7-8B-3"], "base_model": ["Kaoeiri/Keiana-L3-Test4.7-8B-3"]} | Kaoeiri/Keiana-L3-Test4.8-8B-4 | null | [
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"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"Kaoeiri/Keiana-L3-Test4.7-8B-3",
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"base_model:Kaoeiri/Keiana-L3-Test4.7-8B-3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T03:23:30+00:00 | [] | [] | TAGS
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|
# Keiana-L3-Test4.8-8B-4
# Keep in mind that it's not yet tested, and I unsure if would work as planned.
Keiana-L3-Test4.8-8B-4 is a merge of the following models using LazyMergekit:
* Kaoeiri/Keiana-L3-Test4.7-8B-3
## Configuration
## Usage
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sentence-similarity | sentence-transformers |
# all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](... | {"language": "en", "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["s2orc", "flax-sentence-embeddings/stackexchange_xml", "ms_marco", "gooaq", "yahoo_answers_topics", "code_search_net", "search... | PIXMELT/all-MiniLM-L6-v2 | null | [
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"tf",
"rust",
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"dataset:ms_marco",
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================
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Usage (Sentence-Transformers)
-----------------------------
Using this model becomes easy when you have sent... | [
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text-generation | transformers | # Chaos RP
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minim... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["ChaoticNeutrals/IQ_Test_l3_8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | zaq-hack/Chaos_RP_l3_8B-bpw500-h6-exl2-rpcal | null | [
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| # Chaos RP
!image/png
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minimum of effort.
Enjoy! | [
"# Chaos RP\n\n!image/png\n\nA chaotic force beckons for you, will you heed her call?\n\nBuilt upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minimum of effort.\n\nEnjoy!"
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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. -->
# deit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-14687
This model is a fine-tuned version of [facebook/deit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "f1", "precision"], "base_model": "facebook/deit-base-patch16-224", "model-index": [{"name": "deit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-14687", "results": [{"task": {"type": "... | Kushagra07/deit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-14687 | null | [
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| deit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-14687
===================================================================
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3950
* Accuracy:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ResplendentAI/SOVL_Llama3_8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/SOVL_Llama3_8B", "quantized_by": "mradermacher"} | mradermacher/SOVL_Llama3_8B-GGUF | null | [
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#transformers #gguf #en #base_model-ResplendentAI/SOVL_Llama3_8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null | Pre-trained models of Portrait4D and Portrait4D-v2:
- genhead-ffhq512: GenHead trained on FFHQ dataset at 512x512 resolution
- portrait4d-genhead512: Portrait4D trained with synthetic data of GenHead at 512x512 resolution
- portrait4d-static-genhead512: Portrait4D without motion-related cross-attentions, trained with ... | {"license": "mit"} | bEijuuu/Portrait4D | null | [
"license:mit",
"region:us"
] | null | 2024-04-25T03:31:11+00:00 | [] | [] | TAGS
#license-mit #region-us
| Pre-trained models of Portrait4D and Portrait4D-v2:
- genhead-ffhq512: GenHead trained on FFHQ dataset at 512x512 resolution
- portrait4d-genhead512: Portrait4D trained with synthetic data of GenHead at 512x512 resolution
- portrait4d-static-genhead512: Portrait4D without motion-related cross-attentions, trained with ... | [] | [
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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. -->
# opt-350m_ft_test5
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "opt-350m_ft_test5", "results": []}]} | underactuated/opt-350m_ft_test5 | null | [
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|
# opt-350m_ft_test5
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperpa... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jxie/whisper-tiny-speechocean | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Language(s) (NLP):
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - BKM1804/textual_inversion_cat
These are textual inversion adaption weights fo... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | BKM1804/textual_inversion_cat | null | [
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... | null | 2024-04-25T03:34:11+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - BKM1804/textual_inversion_cat
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of... | [
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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": []} | dahye1/lg-gemma-ko-ver3 | 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model-2
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/ro... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "my_awesome_eli5_clm-model-2", "results": []}]} | liamvbetts/my_awesome_eli5_clm-model-2 | null | [
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| my\_awesome\_eli5\_clm-model-2
==============================
This model is a fine-tuned version of FacebookAI/roberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0009
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-50-0.003 | 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": ["unsloth"]} | chillies/llama-3-8b-vn-legal-chat | null | [
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"1910.09700"
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#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- 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. -->
# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence-D1-D2_smi
This model is a fine-tuned version of [m... | {"license": "apache-2.0", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence-D1-D2_smi", "results": []}]} | vangard703/DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence-D1-D2_smi | null | [
"transformers",
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|
# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence-D1-D2_smi
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6444
- Rewards/chosen: -2.4793
- Rewards/rejected: -2.9560
- Rewa... | [
"# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-6e1-confidence-D1-D2_smi\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.6444\n- Rewards/chosen: -2.4793\n- Rewards/rejected: -2.956... | [
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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. -->
# text_summarization_finetuned
This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falcons... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Falconsai/text_summarization", "model-index": [{"name": "text_summarization_finetuned", "results": []}]} | HARDYCHEN/text_summarization_finetuned | null | [
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"text-generation-inference",
"region:us"
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| text\_summarization\_finetuned
==============================
This model is a fine-tuned version of Falconsai/text\_summarization on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2709
* Rouge1: 0.0876
* Rouge2: 0.0826
* Rougel: 0.0876
* Rougelsum: 0.0876
* Gen Len: 19.0
Mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* ... | [
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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:
* [motherfucker0/zhun02](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhun02", "motherfucker0/zhun01"]} | motherfucker0/zhen02 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T03:40:35+00:00 | [] | [] | TAGS
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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:
* motherfucker0/zhun02
* motherfucker0/zhun01
### Configuration
The following YAM... | [
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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": []} | SamaahKhan/Phi-before-fine-tuning | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T03:44:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# ppo_zephyr4
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistr... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "ppo_zephyr4", "results": []}]} | vwxyzjn/ppo_zephyr4 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-25T03:45:13+00:00 | [] | [] | TAGS
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|
# ppo_zephyr4
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta 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 hyperpar... | [
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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": []} | chohi/phi-3-finetuned2-med-text | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/cloudyu/Meta-Llama-3-70B-Instruct-DPO
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Met... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "cloudyu/Meta-Llama-3-70B-Instruct-DPO", "quantized_by": "mradermacher"} | mradermacher/Meta-Llama-3-70B-Instruct-DPO-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-cloudyu/Meta-Llama-3-70B-Instruct-DPO #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null | # #llama-3 #experimental #work-in-progress
GGUF-IQ-Imatrix quants for @jeiku's [ResplendentAI/SOVL_Llama3_8B](https://huggingface.co/ResplendentAI/SOVL_Llama3_8B). <br> Give them some love!
> [!IMPORTANT]
> **Updated!**
> These quants have been redone with the fixes from [llama.cpp/pull/6920](https://github.com/gge... | {"license": "apache-2.0"} | Lewdiculous/SOVL_Llama3_8B-GGUF-IQ-Imatrix | null | [
"gguf",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T03:46:59+00:00 | [] | [] | TAGS
#gguf #license-apache-2.0 #region-us
| # #llama-3 #experimental #work-in-progress
GGUF-IQ-Imatrix quants for @jeiku's ResplendentAI/SOVL_Llama3_8B. <br> Give them some love!
> [!IMPORTANT]
> Updated!
> These quants have been redone with the fixes from URL in mind. <br>
> Use KoboldCpp version 1.64 or higher.
> [!NOTE]
> Well...! <br>
> Turns out it was... | [
"# #llama-3 #experimental #work-in-progress\n\nGGUF-IQ-Imatrix quants for @jeiku's ResplendentAI/SOVL_Llama3_8B. <br> Give them some love!\n\n> [!IMPORTANT] \n> Updated!\n> These quants have been redone with the fixes from URL in mind. <br>\n> Use KoboldCpp version 1.64 or higher.\n\n> [!NOTE]\n> Well...! <br>\n> ... | [
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text-generation | transformers |
# Keiana-L3-Test4.9-8B-5
# Keep in mind that it's not yet tested, and I unsure if would work as planned.
Keiana-L3-Test4.9-8B-5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kaoeiri/Keiana-L3-Test4.8-8B-4](https://... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.8-8B-4", "vicgalle/Roleplay-Llama-3-8B"], "base_model": ["Kaoeiri/Keiana-L3-Test4.8-8B-4", "vicgalle/Roleplay-Llama-3-8B"]} | Kaoeiri/Keiana-L3-Test4.9-8B-5 | null | [
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... | null | 2024-04-25T03:47:13+00:00 | [] | [] | TAGS
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# Keiana-L3-Test4.9-8B-5
# Keep in mind that it's not yet tested, and I unsure if would work as planned.
Keiana-L3-Test4.9-8B-5 is a merge of the following models using LazyMergekit:
* Kaoeiri/Keiana-L3-Test4.8-8B-4
* vicgalle/Roleplay-Llama-3-8B
## Configuration
## Usage
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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. -->
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | 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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.8_Seed104 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
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... | [
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