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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": []} | zura1101/gemma_peft_model_emotion_detection_qlora | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Lora for Blip2 to generate QAs from a picture.
## Infertece Demo
```python
from datasets import load_dataset
from peft import PeftModel
import torch
from transformers import AutoProcessor, Blip2ForConditionalGeneration
# prepa... | {"license": "apache-2.0", "library_name": "peft", "base_model": "ybelkada/blip2-opt-2.7b-fp16-sharded"} | curlyfu/blip2-QA-generation | null | [
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# Model Card for Model ID
Lora for Blip2 to generate QAs from a picture.
## Infertece Demo
## Thanks
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text-generation | transformers |
# Uploaded model
- **Developed by:** mcgalleg
- **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", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | mcgalleg/mistral-7b-instruct-v0.2-bnb-16bit-512 | null | [
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# Uploaded model
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | ibivibiv/llama3-8b-ultrafeedback-dpo | 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 |
# Uploaded model
- **Developed by:** Samoed
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Samoed/PRGen-llama-3-8b-bnb-4bit-4bit-LoRA | null | [
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-08e5a83")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-08e5a83 | null | [
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|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
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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 - embracellm/dishi_1_LoRA
<Gallery />
## Model description
These are embracellm/dishi_1_LoRA LoR... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | embracellm/dishi_1_LoRA | null | [
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|
# SDXL LoRA DreamBooth - embracellm/dishi_1_LoRA
<Gallery />
## Model description
These are embracellm/dishi_1_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-math-7b-rl - bnb 4bits
- Model creator: https://huggingface.co/deepseek-ai/
- Original model: https://huggingface.c... | {} | RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-math-7b-rl - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
license_link: URL
---
<p align="center">
<img width="500px" alt="DeepSeek Chat" src="URL
</p... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5.balanced
This model is a fine-tuned version of [samzirbo/mT5.en-es.pretrained](https://huggingface.co/samzirbo/mT5.en-es.pre... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "samzirbo/mT5.en-es.pretrained", "model-index": [{"name": "mt5.balanced", "results": []}]} | samzirbo/mt5.balanced | null | [
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| mt5.balanced
============
This model is a fine-tuned version of samzirbo/URL-es.pretrained on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4858
* Bleu: 39.6397
* Meteor: 0.6687
* Chrf++: 61.2886
Model description
-----------------
More information needed
Intended uses... | [
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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": []} | miguel-kjh/pythia_14m-adpater-lora-stsb | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
h2ogpt-4096-llama2-7b-chat - GGUF
- Model creator: https://huggingface.co/h2oai/
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
h2ogpt-4096-llama2-7b-chat - GGUF
* Model creator: URL
* Original model: URL
Name: h2ogpt-4096-llama2-7b-chat.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
deepseek-math-7b-rl - bnb 8bits
- Model creator: https://huggingface.co/deepseek-ai/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
deepseek-math-7b-rl - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: deepseek
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small So - kheder yusuf
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| Whisper Small So - kheder yusuf
===============================
This model is a fine-tuned version of steja/whisper-small-somali on the google/fleurs dataset.
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* Wer: 21.0013
Model description
-----------------
More information needed
Inte... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-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 - embracellm/dish_1_LoRA
<Gallery />
## Model description
These are embracellm/dish_1_LoRA LoRA ... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | embracellm/dish_1_LoRA | null | [
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# SDXL LoRA DreamBooth - embracellm/dish_1_LoRA
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text2text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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sentence-similarity | sentence-transformers |
# quangtqv/tool_learning_embed_v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | quangtqv/tool_learning_embed_v1 | null | [
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# quangtqv/tool_learning_embed_v1
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text-to-image | diffusers |
# 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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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("MODEL_ID")
outputs = model.predict(["This is a sentence to cl... | {"language": "en", "license": "apache-2.0"} | phospho-app/MODEL_ID | null | [
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|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b_wd10
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Inte... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openlm-research/open_llama_7b", "model-index": [{"name": "llama-7b_wd10", "results": []}]} | lluvecwonv/llama-7b_wd10 | null | [
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|
# llama-7b_wd10
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 hyperparame... | [
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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": []} | vc64/llama2-7b_wikiQA | 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-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ceb_b64_le3_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "ceb_b64_le3_s4000", "results": []}]} | mikhail-panzo/ceb_b64_le3_s4000 | null | [
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| ceb\_b64\_le3\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4322
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Cantanese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"language": ["yue"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_17_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Cantanese", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Au... | poppysmickarlili/whisper-small-cantonese_02-05-2024-1727 | null | [
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| Whisper Small Cantanese
=======================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2823
* Wer: 55.5764
Model description
-----------------
More information needed
Intended uses & limita... | [
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token-classification | transformers | Overall F1 score of 92.67% and precision, recall, and accuracy metrics at 91.86%, 93.49%, and 97.49%, respectively.
-High-Performing Entities: entities like Account Name, Account Number, Age, Company Name, and Email have achieved F1 scores above 95%.
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| Overall F1 score of 92.67% and precision, recall, and accuracy metrics at 91.86%, 93.49%, and 97.49%, respectively.
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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": []} | HamdanXI/w2v2_uclass_clipped_labeled | null | [
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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. -->
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-603d58d")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-603d58d | null | [
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This is a SetFit model that can be used for Text Classification on CPU.
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## References
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Lancelot53/dna_tokenizer_v1_4096 | 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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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"} | Niggendar/mfcgPaintjob_v20 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
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"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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": []} | paulo037/stable-code-instruct-3b-syntetic-1000-16-epoch | null | [
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"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TCleo/SriRatuTani-Indonesia-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "base_model": "TCleo/SriRatuTani-Indonesia-7B", "quantized_by": "mradermacher"} | mradermacher/SriRatuTani-Indonesia-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:TCleo/SriRatuTani-Indonesia-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T17:48:53+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-TCleo/SriRatuTani-Indonesia-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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text-generation | null |
## Llamacpp imatrix Quantizations of Llama-3-ChatQA-1.5-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2777">b2777</a> for quantization.
Original model: https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B
All quants made ... | {"language": ["en"], "license": "llama3", "tags": ["nvidia", "chatqa-1.5", "chatqa", "llama-3", "pytorch"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Llama-3-ChatQA-1.5-8B-GGUF | null | [
"gguf",
"nvidia",
"chatqa-1.5",
"chatqa",
"llama-3",
"pytorch",
"text-generation",
"en",
"license:llama3",
"region:us"
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"en"
] | TAGS
#gguf #nvidia #chatqa-1.5 #chatqa #llama-3 #pytorch #text-generation #en #license-llama3 #region-us
| Llamacpp imatrix Quantizations of Llama-3-ChatQA-1.5-8B
-------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file ... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | matbee/idefics2-weblinx-20500 | null | [
"transformers",
"safetensors",
"idefics2",
"pretraining",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T17:50:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #idefics2 #pretraining #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AstroMLab/astroqwen-7B-chat | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #qwen2 #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]:
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- Language(s) (NLP):
- License... | [
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null | null |
# OlethrosConfigurable-7B
OlethrosConfigurable-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [mlabonne/OrpoLlama-3-8B](https://huggingfac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "mlabonne/OrpoLlama-3-8B"]} | automerger/OlethrosConfigurable-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:NousResearch/Meta-Llama-3-8B-Instruct",
"base_model:mlabonne/OrpoLlama-3-8B",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T17:52:54+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #base_model-NousResearch/Meta-Llama-3-8B-Instruct #base_model-mlabonne/OrpoLlama-3-8B #license-apache-2.0 #region-us
|
# OlethrosConfigurable-7B
OlethrosConfigurable-7B is an automated merge created by Maxime Labonne using the following configuration.
* NousResearch/Meta-Llama-3-8B-Instruct
* mlabonne/OrpoLlama-3-8B
## Configuration
## Usage
| [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="PaoloB27/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | PaoloB27/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-02T17:58:25+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# 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": []} | hi000000/insta_llama2-ko_generation | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T18:04:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #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 | peft |
# Low-rank decomposition of [LeroyDyer/Mixtral_AI_Chat_1.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Chat_1.0) using [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) as base
Created using [LoRD](https://github.com/thomasgauthier/LoRD)
| {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.1"} | LeroyDyer/Mixtral_AI_LORD | null | [
"peft",
"safetensors",
"base_model:mistralai/Mistral-7B-Instruct-v0.1",
"region:us"
] | null | 2024-05-02T18:04:58+00:00 | [] | [] | TAGS
#peft #safetensors #base_model-mistralai/Mistral-7B-Instruct-v0.1 #region-us
|
# Low-rank decomposition of LeroyDyer/Mixtral_AI_Chat_1.0 using mistralai/Mistral-7B-Instruct-v0.1 as base
Created using LoRD
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sentence-similarity | sentence-transformers |
# pjbhaumik/biencoder-finetune-model-v4
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | pjbhaumik/biencoder-finetune-model-v4 | null | [
"sentence-transformers",
"safetensors",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T18:05:18+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# pjbhaumik/biencoder-finetune-model-v4
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers ins... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/673ee71 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# convnext-large-384-22k-1k-finetuned-climbing-test1
This model is a fine-tuned version of [facebook/convnext-large-384-22k-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnext-large-384-22k-1k", "model-index": [{"name": "convnext-large-384-22k-1k-finetuned-climbing-test1", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | AMead10/convnext-large-384-22k-1k-finetuned-climbing-test1 | null | [
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| convnext-large-384-22k-1k-finetuned-climbing-test1
==================================================
This model is a fine-tuned version of facebook/convnext-large-384-22k-1k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0935
* Accuracy: 0.9828
Model description
--... | [
"### 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: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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token-classification | spacy | English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `en_core_web_sm` |
| **Version** | `3.7.1` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`... | {"language": ["en"], "license": "mit", "tags": ["spacy", "token-classification"]} | SuramyaPokharel/en_core_web_sm | null | [
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#spacy #token-classification #en #license-mit #model-index #region-us
| English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute\_ruler, lemmatizer.
### Label Scheme
View label scheme (115 labels for 3 components)
### Accuracy
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Moriacrafter/LLaMA2-7B_DepressionDetection
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If t... | {"language": ["en"], "library_name": "transformers", "tags": ["llama-factory"], "base_model": "Moriacrafter/LLaMA2-7B_DepressionDetection", "quantized_by": "mradermacher"} | mradermacher/LLaMA2-7B_DepressionDetection-GGUF | null | [
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"gguf",
"llama-factory",
"en",
"base_model:Moriacrafter/LLaMA2-7B_DepressionDetection",
"endpoints_compatible",
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] | null | 2024-05-02T18:08:42+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-factory #en #base_model-Moriacrafter/LLaMA2-7B_DepressionDetection #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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="PaoloB27/q-learning-taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fa... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-learning-taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value":... | PaoloB27/q-learning-taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-02T18:10:39+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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"} | rubbrband/tastyriceLingyunCaijing_v20NewJourney | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
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"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | k1101jh/Reinforce-Pixelcopter-PLE-v0 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
## 📌 Notice
- ✅ Original model is [beomi/Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
- ✅ Quantized by [teddylee777](https://huggingface.co/teddylee777) by using [llama.cpp](https://github.com/ggerganov/llama.cpp)
## 💬 Template
LM Studio
```
<|start_header_id|>sy... | {"language": ["en", "ko"], "license": "cc-by-nc-sa-4.0", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | teddylee777/Llama-3-KoEn-8B-Instruct-preview-gguf | null | [
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#transformers #gguf #llama #text-generation #facebook #meta #pytorch #llama-3 #llama-3-ko #conversational #en #ko #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Notice
- Original model is beomi/Llama-3-KoEn-8B-Instruct-preview
- Quantized by teddylee777 by using URL
## Template
LM Studio
Stop Token
## Helpful Contents
- How to load HuggingFace GGUF into LM Studio
- How to test llama3 by using Ollama
- 🇰🇷 LangChain Tutorial in Korean
- Please subscribe and s... | [
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"## Template\n\nLM Studio\n\n\nStop Token",
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null | transformers |
# Uploaded model
- **Developed by:** anandanand84
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct"} | anandanand84/otcjson_phi3_lora | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: anandanand84
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | johnlockejrr/BEREL_2.0-sam-v2 | null | [
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"safetensors",
"bert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T18:14:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #fill-mask #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** anandanand84
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/Phi-3-mini-4k-instruct"} | anandanand84/otcjson_phi3_2 | null | [
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|
# Uploaded model
- Developed by: anandanand84
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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feature-extraction | transformers | # fine-tuned/jina-embeddings-v2-base-en-02052024-zdw2-webapp_8647177611
## Model Description
fine-tuned/jina-embeddings-v2-base-en-02052024-zdw2-webapp_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applica... | {} | fine-tuned/jina-embeddings-v2-base-en-02052024-zdw2-webapp_8647177611 | null | [
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"region:us"
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#transformers #safetensors #bert #feature-extraction #custom_code #region-us
| # fine-tuned/jina-embeddings-v2-base-en-02052024-zdw2-webapp_8647177611
## Model Description
fine-tuned/jina-embeddings-v2-base-en-02052024-zdw2-webapp_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for a specific domain.
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | felixml/code-llama-7b-text-to-sql | null | [
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|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf 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... | [
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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-Instruct-v0.2-finetune-SWE_90_10
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://h... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-finetune-SWE_90_10", "results": []}]} | JuanjoLopez19/Mistral-7B-Instruct-v0.2-finetune-SWE_90_10 | null | [
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| Mistral-7B-Instruct-v0.2-finetune-SWE\_90\_10
=============================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1233
Model description
-----------------
More information... | [
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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": []} | twodev/phiLLamaHF-4bit | null | [
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# Model Card for Model ID
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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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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-to-sparql-t5-small-qald9
This model is a fine-tuned version of [yazdipour/text-to-sparql-t5-small-qald9](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "yazdipour/text-to-sparql-t5-small-qald9", "model-index": [{"name": "text-to-sparql-t5-small-qald9", "results": []}]} | Uzair54/thesis_only_english | null | [
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| text-to-sparql-t5-small-qald9
=============================
This model is a fine-tuned version of yazdipour/text-to-sparql-t5-small-qald9 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0001
* Gen Len: 19.0
* P: 0.6665
* R: 0.1769
* F1: 0.4085
* Bleu-score: 12.0496
* Bleu-pre... | [
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text-generation | transformers | # Model Card for Cyber-risk-llama-3-8b-instruct-sft
## Model Description
This model is a fine-tuned version of `meta-llama/Meta-Llama-3-8B-Instruct` on the `vanessasml/cybersecurity_32k_instruction_input_output` dataset.
It is specifically designed to enhance performance in generating and understanding cybersecurity... | {"tags": ["finance", "supervision", "cyber risk", "cybersecurity", "cyber threats", "SFT", "LoRA", "A100GPU"], "datasets": ["Vanessasml/cybersecurity_32k_instruction_input_output"], "pipeline_tag": "text-generation"} | Vanessasml/cyber-risk-llama-3-8b-instruct-sft-v2 | null | [
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| # Model Card for Cyber-risk-llama-3-8b-instruct-sft
## Model Description
This model is a fine-tuned version of 'meta-llama/Meta-Llama-3-8B-Instruct' on the 'vanessasml/cybersecurity_32k_instruction_input_output' dataset.
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token-classification | spacy | English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `en_core_web_md` |
| **Version** | `3.7.1` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`... | {"language": ["en"], "license": "mit", "tags": ["spacy", "token-classification"]} | SuramyaPokharel/NER_for_contacts | null | [
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| English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute\_ruler, lemmatizer.
### Label Scheme
View label scheme (117 labels for 3 components)
### Accuracy
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null | null | # GGUF quants for [**nvidia/Llama3-ChatQA-1.5-8B**](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B) using [llama.cpp](https://github.com/ggerganov/llama.cpp)
**Terms of Use**: Please check the [**original model**](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B)
<picture>
<img alt="cthulhu" src="https://huggin... | {} | neopolita/llama3-chatqa-1.5-8b-gguf | null | [
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#gguf #region-us
| # GGUF quants for nvidia/Llama3-ChatQA-1.5-8B using URL
Terms of Use: Please check the original model
<picture>
<img alt="cthulhu" src="URL
</picture>
## Quants
* 'q2_k': Uses Q4_K for the URL and feed_forward.w2 tensors, Q2_K for the other tensors.
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null | transformers |
# Uploaded model
- **Developed by:** HoneyBadger2989
- **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.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | HoneyBadger2989/badger-TinyLlama | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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"]} | HoneyBadger2989/badger-TinyLama | null | [
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#transformers #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.
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text-generation | transformers |
> [!IMPORTANT]
> [GGUF / Exl2 quants](https://huggingface.co/collections/xxx777xxxASD/chaoticsoliloquy-v15-4x8b-6633f96430c0652a8ad527a3)
Experimental RP-oriented MoE, the idea was to get a model ... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | xxx777xxxASD/L3-ChaoticSoliloquy-v1.5-4x8B | null | [
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|
!image/png
> [!IMPORTANT]
> GGUF / Exl2 quants
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
Im not sure but it should be better than the first version
### Llama 3 ChaoticSoliloquy-v1.5-4x8B
## Models used
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Atom-7B-Chat - bnb 4bits
- Model creator: https://huggingface.co/FlagAlpha/
- Original model: https://huggingface.co/FlagAlp... | {} | RichardErkhov/FlagAlpha_-_Atom-7B-Chat-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Atom-7B-Chat - bnb 4bits
* Model creator: URL
* Original model: URL
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license: apache-2.0
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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": ["trl", "sft"]} | wwhlazio/TrueFakeNews_llama2_1k | 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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-2-ko-v0.1 - bnb 4bits
- Model creator: https://huggingface.co/daekeun-ml/
- Original model: https://huggingface.co/daeke... | {} | RichardErkhov/daekeun-ml_-_phi-2-ko-v0.1-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-2-ko-v0.1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
license: cc-by-sa-3.0
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
llama-3-8b-bnb-4bit - bnb 4bits
- Model creator: https://huggingface.co/unsloth/
- Original model: https://huggingface.co/un... | {} | RichardErkhov/unsloth_-_llama-3-8b-bnb-4bit-4bits | null | [
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#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-3-8b-bnb-4bit - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: llama2
library\_name: transformers
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text2text-generation | transformers |
# Emergency Actors Classiication
This model is a fine-tuned version of [vgaraujov/bart-base-spanish](https://huggingface.co/vgaraujov/bart-base-spanish).
It achieves the following results on the evaluation set:
- Loss: 0.0947491004032159
- Rougelsum: 61.225600
## Model description
This checkpoint classifies emergen... | {"language": ["es"], "license": "mit", "library_name": "transformers", "metrics": ["rouge"], "pipeline_tag": "text2text-generation"} | santyzenith/emergency_actors_classification | null | [
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|
# Emergency Actors Classiication
This model is a fine-tuned version of vgaraujov/bart-base-spanish.
It achieves the following results on the evaluation set:
- Loss: 0.0947491004032159
- Rougelsum: 61.225600
## Model description
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Uz - Aslon Khamidov -- with Uzbek Voice dataset
This model is a fine-tuned version of [openai/whisper-small](https... | {"language": ["uz"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Uz - Aslon Khamidov -- with Uzbek Voice dataset", "results": [{"... | aslon1213/whisper-small-uz-with-uzbekvoice | null | [
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| Whisper Small Uz - Aslon Khamidov -- with Uzbek Voice dataset
=============================================================
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* Wer: 35.9465
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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": []} | baraah/blip2-opt-2.7b-2-5 | 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": []} | quickstep3621/4vfiuek | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-2-ko-v0.1 - bnb 8bits
- Model creator: https://huggingface.co/daekeun-ml/
- Original model: https://huggingface.co/daeke... | {} | RichardErkhov/daekeun-ml_-_phi-2-ko-v0.1-8bits | null | [
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#transformers #safetensors #phi #text-generation #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
phi-2-ko-v0.1 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
license: cc-by-sa-3.0
datasets:
* wikimedia/wikipedia
* maywell/korean\_textboo... | [
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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": []} | quickstep3621/tu878vr | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for 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": []} | kishorea/Llama3_p8 | 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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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | rwr20/Reinforce-Pixelcopter | null | [
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"custom-implementation",
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
llama-3-8b-bnb-4bit - bnb 8bits
- Model creator: https://huggingface.co/unsloth/
- Original model: https://huggingface.co/un... | {} | RichardErkhov/unsloth_-_llama-3-8b-bnb-4bit-8bits | null | [
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"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-05-02T18:39:45+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-3-8b-bnb-4bit - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: llama2
library\_name: transformers
tags:
* unsloth
* transformers
* llama
* l... | [] | [
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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. -->
# w2v2_uclass_clipped_10_seconds
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v2_uclass_clipped_10_seconds", "results": []}]} | HamdanXI/w2v2_uclass_clipped_10_seconds | null | [
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"wav2vec2-bert",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/w2v-bert-2.0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T18:41:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2-bert #automatic-speech-recognition #generated_from_trainer #base_model-facebook/w2v-bert-2.0 #license-mit #endpoints_compatible #region-us
|
# w2v2_uclass_clipped_10_seconds
This model is a fine-tuned version of facebook/w2v-bert-2.0 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 h... | [
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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"} | rubbrband/jjdoe042sXL_v10 | null | [
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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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- Funded by [optional]:
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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... | LennartHRO/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#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 |
# 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": []} | AstroMLab/astroqwen-7B | null | [
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"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T18:42:55+00:00 | [
"1910.09700"
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#transformers #safetensors #qwen2 #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]:
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sentence-similarity | sentence-transformers |
# pjbhaumik/biencoder-finetune-model-v5
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | pjbhaumik/biencoder-finetune-model-v5 | null | [
"sentence-transformers",
"safetensors",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# pjbhaumik/biencoder-finetune-model-v5
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
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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. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": []}]} | CrackinBee/my_awesome_food_model | null | [
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"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
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| my\_awesome\_food\_model
========================
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: 1.6305
* Accuracy: 0.891
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: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | vaatsav06/Llama3_p8 | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-02T18:44:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# copilot_relex_v1_with_context
This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsof... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "microsoft/deberta-v3-small", "model-index": [{"name": "copilot_relex_v1_with_context", "results": []}]} | bobbyw/copilot_relex_v1_with_context | null | [
"transformers",
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"safetensors",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:microsoft/deberta-v3-small",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T18:45:02+00:00 | [] | [] | TAGS
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| copilot\_relex\_v1\_with\_context
=================================
This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0299
* Accuracy: 0.0075
* F1: 0.0127
* Precision: 0.0064
* Recall: 0.8358
* Learning Rate: 0.... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
TinyLLama-v0 - bnb 4bits
- Model creator: https://huggingface.co/Maykeye/
- Original model: https://huggingface.co/Maykeye/T... | {} | RichardErkhov/Maykeye_-_TinyLLama-v0-4bits | null | [
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"text-generation",
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] | null | 2024-05-02T18:47:27+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
TinyLLama-v0 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: apache-2.0
---
This is a first version of recreating roneneldan/TinyStories-1M but using Llama architecture.
* Full training proc... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
TinyLLama-v0 - bnb 8bits
- Model creator: https://huggingface.co/Maykeye/
- Original model: https://huggingface.co/Maykeye/T... | {} | RichardErkhov/Maykeye_-_TinyLLama-v0-8bits | null | [
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"text-generation",
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#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
TinyLLama-v0 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: apache-2.0
---
This is a first version of recreating roneneldan/TinyStories-1M but using Llama architecture.
* Full training proc... | [] | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
TinyLLama-v0 - GGUF
- Model creator: https://huggingface.co/Maykeye/
- Original model: https://huggingface.co/Maykeye/TinyLL... | {} | RichardErkhov/Maykeye_-_TinyLLama-v0-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-02T18:48:55+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
TinyLLama-v0 - GGUF
* Model creator: URL
* Original model: URL
Name: TinyLLama-v0.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.0GB
Name: TinyLLama-v0.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.0GB
Name: TinyLLama-v0.IQ3\_S.gguf, Quant met... | [] | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Phi-3-mini-4k-instruct - GGUF
- Model creator: https://huggingface.co/microsoft/
- Original model: https://huggingface.co/mi... | {} | RichardErkhov/microsoft_-_Phi-3-mini-4k-instruct-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-02T18:48:56+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Phi-3-mini-4k-instruct - GGUF
* Model creator: URL
* Original model: URL
Name: Phi-3-mini-4k-instruct.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.32GB
Name: Phi-3-mini-4k-instruct.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.51GB
Name: Phi... | [
"### Tokenizer\n\n\nPhi-3 Mini-4K-Instruct supports a vocabulary size of up to '32064' tokens. The tokenizer files already provide placeholder tokens that can be used for downstream fine-tuning, but they can also be extended up to the model's vocabulary size.",
"### Chat Format\n\n\nGiven the nature of the traini... | [
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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. -->
# Meta-Llama-3-8B-text-to-sql
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "Meta-Llama-3-8B-text-to-sql", "results": []}]} | felixml/Meta-Llama-3-8B-text-to-sql | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"region:us"
] | null | 2024-05-02T18:49:07+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
|
# Meta-Llama-3-8B-text-to-sql
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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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... | {"license": "mit", "library_name": "transformers"} | kishorea/P-Llama70B | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B).
| {"license": "llama3"} | numen-tech/Llama-3-Smaug-8B-w4a16g128asym | null | [
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#arxiv-2308.13137 #license-llama3 #region-us
|
4-bit OmniQuant quantized version of Llama-3-Smaug-8B.
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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": []} | Shritama/Gemma_text-to-json_2 | null | [
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"autotrain_compatible",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #gemma #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]:
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null | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b).
| {"license": "llama3"} | numen-tech/dolphin-2.9-llama3-8b-w4a16g128asym | null | [
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4-bit OmniQuant quantized version of dolphin-2.9-llama3-8b.
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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": []} | azhara001/donut-base-demo-new-0.0003_Adam_938 | null | [
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|
# Model Card for Model ID
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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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- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-70B-Instruct"} | slingshot/Meta-Llama-3-70B-Instruct-2024-05-02-17-33-18-conversation-model | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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#... | [
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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"} | rubbrband/formulaxlXLComfyui_v20Pruned | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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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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. -->
# llama3_lora
This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit", "model-index": [{"name": "llama3_lora", "results": []}]} | qbitmaze/ib | null | [
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|
# llama3_lora
This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the identity and the alpaca_gpt4_en datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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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. -->
# 128Bert
This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on t... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cointegrated/rubert-tiny2", "model-index": [{"name": "128Bert", "results": []}]} | IvashinMaxim/128Bert | null | [
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| 128Bert
=======
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8346
* Accuracy: 0.7033
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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