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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. -->
# beit-base-patch16-224-c9fdf34b-e763-4cf0-b38d-2601d6b23e7e
This model is a fine-tuned version of [microsoft/beit-base-patch16-22... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "beit-base-patch16-224-c9fdf34b-e763-4cf0-b38d-2601d6b23e7e", "results": [{"task": {"type": "image-classification", "name": "Image... | BilalMuftuoglu/beit-base-patch16-224-c9fdf34b-e763-4cf0-b38d-2601d6b23e7e | null | [
"transformers",
"tensorboard",
"safetensors",
"beit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/beit-base-patch16-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T20:07:31+00:00 | [] | [] | TAGS
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| beit-base-patch16-224-c9fdf34b-e763-4cf0-b38d-2601d6b23e7e
==========================================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7275
* Accuracy: 0.8714
Model d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | sajjansagar/dialogue_Summary_peft | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T20:08:33+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 | null |
## Llamacpp imatrix Quantizations of Scarlett-Llama-3-8B-v1.0
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/ajibawa-2023/Scarlett-Llama-3-8B-v1.0
All... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code", "companionship"], "license_name": "llama3", "license_link": "LICENSE", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Scarlett-Llama-3-8B-v1.0-GGUF | null | [
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#gguf #art #philosophy #romance #jokes #advice #code #companionship #text-generation #en #license-other #region-us
| Llamacpp imatrix Quantizations of Scarlett-Llama-3-8B-v1.0
----------------------------------------------------------
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... | [] | [
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] | [
34
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"TAGS\n#gguf #art #philosophy #romance #jokes #advice #code #companionship #text-generation #en #license-other #region-us \n"
] |
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)
KangalKhan-RawRuby-7B - bnb 4bits
- Model creator: https://huggingface.co/Yuma42/
- Original model: https://huggingface.co/Y... | {} | RichardErkhov/Yuma42_-_KangalKhan-RawRuby-7B-4bits | null | [
"transformers",
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"mistral",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-05-01T20:11:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
KangalKhan-RawRuby-7B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
tags:
* merge
* mergekit
* lazymergekit
* Yuma42/KangalKhan-Ruby... | [] | [
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feature-extraction | 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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep43 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T20:14:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #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: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/chihoonlee10/T3Q-LLM-MG-DPO-v1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "chihoonlee10/T3Q-LLM-MG-DPO-v1.0", "quantized_by": "mradermacher"} | mradermacher/T3Q-LLM-MG-DPO-v1.0-GGUF | null | [
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"base_model:chihoonlee10/T3Q-LLM-MG-DPO-v1.0",
"license:apache-2.0",
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"region:us"
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"en"
] | TAGS
#transformers #gguf #en #base_model-chihoonlee10/T3Q-LLM-MG-DPO-v1.0 #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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-museum-v2
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-museum-v2", "results": []}]} | ZacJQ/idefics2-8b-docvqa-finetuned-museum-v2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T20:17:50+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# idefics2-8b-docvqa-finetuned-museum-v2
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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"## Intended uses & limitations\r\n\r\nMore information needed",
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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)
KangalKhan-RawRuby-7B - bnb 8bits
- Model creator: https://huggingface.co/Yuma42/
- Original model: https://huggingface.co/Y... | {} | RichardErkhov/Yuma42_-_KangalKhan-RawRuby-7B-8bits | null | [
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"mistral",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-01T20:18:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
KangalKhan-RawRuby-7B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
tags:
* merge
* mergekit
* lazymergekit
* Yuma42/KangalKhan-Ruby... | [] | [
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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": []} | abc88767/model33 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T20:18:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | thenam/videomae-base-finetuned-ucf101-subset | null | [
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"videomae",
"video-classification",
"generated_from_trainer",
"base_model:MCG-NJU/videomae-base",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T20:22:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2789
* Accuracy: 0.9161
Model description
-----------------
More information needed
... | [
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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": ["trl", "sft"]} | EdBerg/LLAMA3finetuned_test | null | [
"transformers",
"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T20:22:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- bnb_4bit_quant_type: nf4
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text-generation | transformers |
# Uploaded model
- **Developed by:** shkna1368
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "pipeline_tag": "text-generation"} | shkna1368/kurdish_poetry_model | null | [
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# Uploaded model
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- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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": ["unsloth"], "pipeline_tag": "text-generation"} | shkna1368/kurdish_poetry_model_model | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | justingrammens/my_awesome_eli5_mlm_model | null | [
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|
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of distilbert/distilroberta-base on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0227
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training a... | [
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text-generation | transformers |
<!-- This model is trained on a custom dataset containing knowledge of everything I have learned in the field of generative AI up to now. It is based on the GPT-2 architecture. -->
# ElegAI-GPT2
This model is trained on a custom dataset containing knowledge of everything I have learned in the field of generative AI ... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "pipeline_tag": "text-generation", "model-index": [{"name": "ElegAI-GPT2", "results": []}]} | MANMEET75/ElegAI-GPT2 | null | [
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| ElegAI-GPT2
===========
This model is trained on a custom dataset containing knowledge of everything I have learned in the field of generative AI up to now. It is based on the GPT-2 architecture.
It achieves the following results on the evaluation set:
* Loss: 6.0431
Model description
-----------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 16",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA DreamBooth - mj96/fine-tuned-runwayml-sd-v1-5-lora-d1
These are LoRA adaption weights for runwayml/stable-diffusio... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of lmessi man"} | mj96/fine-tuned-runwayml-sd-v1-5-lora-d1 | null | [
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|
# LoRA DreamBooth - mj96/fine-tuned-runwayml-sd-v1-5-lora-d1
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of lmessi man using DreamBooth. You can find some example images in the following.
!img_0
!img_1
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "pipeline_tag": "text-classification"} | paul-stansifer/mistral-qwantz-coherent | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA DreamBooth - mj96/fine-tuned-compvis-sd-v1-4-lora-d1
These are LoRA adaption weights for CompVis/stable-diffusion-... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of lmessi man"} | mj96/fine-tuned-compvis-sd-v1-4-lora-d1 | null | [
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# LoRA DreamBooth - mj96/fine-tuned-compvis-sd-v1-4-lora-d1
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of lmessi man using DreamBooth. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
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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": []} | domenicrosati/rep-noise_2e-5_batch_8_epoch_1 | 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 |
# Uploaded model
- **Developed by:** DanDev
- **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/unsl... | {"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"} | DanDev/Mistral-7B-LexisGen | null | [
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# Uploaded model
- Developed by: DanDev
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Elizezen/Antler-7B-evolve
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Elizezen/Antler-7B-evolve", "quantized_by": "mradermacher"} | mradermacher/Antler-7B-evolve-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-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. -->
# distilbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-clinc", "results": []}]} | joacorf33/distilbert-base-uncased-finetuned-clinc | null | [
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| distilbert-base-uncased-finetuned-clinc
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7898
* Accuracy: 0.9174
Model description
-----------------
More information nee... | [
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null | peft |
# Model Card for Model ID
Fine-tune Llama3-instruct методом ORPO на датасете SaigaSbs | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | mrvladd/OrpoLlama3-8B-VIKHR-instruct | null | [
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#peft #safetensors #llama #base_model-meta-llama/Meta-Llama-3-8B-Instruct #4-bit #region-us
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text-generation | mlx |
# ahmetkca/Phi-3-mini-128k-instruct-mlx
This model was converted to MLX format from [`microsoft/Phi-3-mini-128k-instruct`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) for more details on the model.
## Use with mlx
```bash
pip install... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragon... | ahmetkca/Phi-3-mini-128k-instruct-mlx | null | [
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|
# ahmetkca/Phi-3-mini-128k-instruct-mlx
This model was converted to MLX format from ['microsoft/Phi-3-mini-128k-instruct']() using mlx-lm version 0.12.1.
Refer to the original model card for more details on the model.
## Use with mlx
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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": "unsloth/llama-3-8b-bnb-4bit"} | Dabococo/OWAI3 | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - embracellm/sushi25_LoRA
<Gallery />
## Model description
These are embracellm/sushi25_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"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of Vegeterian Ro... | embracellm/sushi25_LoRA | null | [
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# SDXL LoRA DreamBooth - embracellm/sushi25_LoRA
<Gallery />
## Model description
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text-generation | transformers |
# Model Card for Model ID
This is a finetuned version of StarCoderBase 1B using the [Fill-in-the-Middle objective](https://arxiv.org/abs/2207.14255) on [dataset](https://huggingface.co/datasets/xvadov01/cpp_emb_nl2pl) focused on embedded systems programming.
## Model Details
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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": []} | OwOpeepeepoopoo/onetwothreefour | 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]:
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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... | amc5/ppo-LunarLander-v2 | null | [
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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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama3-OpenBioLLM-8B - bnb 4bits
- Model creator: https://huggingface.co/aaditya/
- Original model: https://huggingface.co/a... | {} | RichardErkhov/aaditya_-_Llama3-OpenBioLLM-8B-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama3-OpenBioLLM-8B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
base\_model: meta-llama/Meta-Llama-3-8B
tags:
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* llama
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* instruct
* finetune
* ch... | [] | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | YasaminAbb/Llama-2-7b-CNN_Q_lora_Summarizer | null | [
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#peft #region-us
| ## Training procedure
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- load_in_4bit: True
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- llm_int8_skip_modules: None
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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 - phn91/books_LoRA
<Gallery />
## Model description
These are phn91/books_LoRA LoRA adaption wei... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", ... | phn91/books_LoRA | null | [
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|
# SDXL LoRA DreamBooth - phn91/books_LoRA
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## Model description
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reinforcement-learning | null |
# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
| {"tags": ["CartPole-v1", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metr... | Joalbom14/ppo-CartPole-v1 | null | [
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# PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
# Hyperparameters
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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. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000-finetuned-leukemia-1000
This model is a fine-tuned version of... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "DouglasBraga/swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000-finetuned-leukemia-1000", ... | DouglasBraga/swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000-finetuned-leukemia-1000 | null | [
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"endpoints_compati... | null | 2024-05-01T21:03:37+00:00 | [] | [] | TAGS
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| swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000-finetuned-leukemia-1000
====================================================================================
This model is a fine-tuned version of DouglasBraga/swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000 on the imagefolder dataset.
It achie... | [
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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-miracl-raft-sft-v2.0
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["nthakur/miracl-raft-sft-instruct-v0.2"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-miracl-raft-sft-v2.0", "results": []}]} | nthakur/Mistral-7B-Instruct-v0.2-miracl-raft-sft-v2.0 | null | [
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| Mistral-7B-Instruct-v0.2-miracl-raft-sft-v2.0
=============================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nthakur/miracl-raft-sft-instruct-v0.2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2086
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 3\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 24\n*... | [
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text-generation | null |
<div align="center">
<h1>Llama-3-8B-Instruct-80K-QLoRA</h1>
<a href="https://github.com/FlagOpen/FlagEmbedding/tree/master/Long_LLM/longllm_qlora">[Data&Code]</a>
</div>
We extend the context length of Llama-3-8B-Instruct to 80K using QLoRA and 3.5K long-context training data synthesized from GPT-4. The entire train... | {"license": "mit", "pipeline_tag": "text-generation"} | dhruvabansal/Llama-3-8B-Instruct-80K-QLoRA | null | [
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"text-generation",
"conversational",
"arxiv:2308.14508",
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] | null | 2024-05-01T21:09:02+00:00 | [
"2308.14508",
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|
Llama-3-8B-Instruct-80K-QLoRA
=============================
<a href="URL
We extend the context length of Llama-3-8B-Instruct to 80K using QLoRA and 3.5K long-context training data synthesized from GPT-4. The entire training cycle is super efficient, which takes 8 hours on a 8xA800 (80G) machine. Yet, the resulted... | [] | [
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text-generation | transformers |
# Model Card for Model ID
The LLM is designed to perform a wide range of natural language processing tasks, including but not limited to text generation,language translation, and question answering. It is suitable for both research and practical applications in industries such as healthcare
## Model Details
### M... | {"license": "apache-2.0", "library_name": "transformers"} | skumar9/Llama-medx_v3 | null | [
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"1910.09700"
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|
# Model Card for Model ID
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the ... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["scene_parse_150"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-scene-parse-150", "results": []}]} | serbest/segformer-b0-scene-parse-150 | null | [
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| segformer-b0-scene-parse-150
============================
This model is a fine-tuned version of nvidia/mit-b0 on the scene\_parse\_150 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6113
* Mean Iou: 0.0736
* Mean Accuracy: 0.1203
* Overall Accuracy: 0.5421
* Per Category Iou: [0.5290430... | [
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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": "microsoft/Phi-3-mini-4k-instruct"} | Entreprenerdly/phi-3_fined-tune2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# 0.0001_withdpo_4iters_bs256_5102lr_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_3", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_5102lr_iter_4", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_5102lr_iter_4 | null | [
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|
# 0.0001_withdpo_4iters_bs256_5102lr_iter_4
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | pdejong/rl_course_vizdoom_health_gathering_supreme | null | [
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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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. -->
# 0.0_withdpo_4iters_bs256_531lr_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0_withdpo_4iters_bs256_531lr_iter_2](http... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0_withdpo_4iters_bs256_531lr_iter_2", "model-index": [{"name": "0.0_withdpo_4iters_bs256_531lr_iter_3", "results": []}]} | ShenaoZ/0.0_withdpo_4iters_bs256_531lr_iter_3 | null | [
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|
# 0.0_withdpo_4iters_bs256_531lr_iter_3
This model is a fine-tuned version of ShenaoZ/0.0_withdpo_4iters_bs256_531lr_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informa... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Bert-QA
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "Bert-QA", "results": []}]} | DiDiR6/Bert-QA | null | [
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] | null | 2024-05-01T21:21:32+00:00 | [] | [] | TAGS
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| Bert-QA
=======
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0662
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mo... | [
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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-step469 | 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": []} | azhara001/donut-base-demo-final | 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pharma_label_v3.1
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["my_csv_dataset3"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "pharma_label_v3.1", "results": [{"task": {"type": "token-classification", "name": "Token Classifi... | atatavana/pharma_label_v3.1 | null | [
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| pharma\_label\_v3.1
===================
This model is a fine-tuned version of microsoft/layoutlmv3-base on the my\_csv\_dataset3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0671
* Precision: 0.9623
* Recall: 0.9740
* F1: 0.9681
* Accuracy: 0.9891
Model description
-----------------... | [
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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. -->
# condaqa-nsp-large-100000
This model is a fine-tuned version of [mhr2004/roberta-large-plm-nsp-100000](https://huggingface.co/mhr... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mhr2004/roberta-large-plm-nsp-100000", "model-index": [{"name": "condaqa-nsp-large-100000", "results": []}]} | mhr2004/condaqa-nsp-large-100000 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T21:28:42+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-mhr2004/roberta-large-plm-nsp-100000 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| condaqa-nsp-large-100000
========================
This model is a fine-tuned version of mhr2004/roberta-large-plm-nsp-100000 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8781
* Accuracy: 0.5420
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-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: 20",
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text-generation | transformers | GPU = NVIDIA A100 80GB PCIe. Max memory = 79.151 GB.
41.705 GB of memory reserved.
# Uploaded model
- **Developed by:** vdavidr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and H... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | vdavidr/llama-3-8b-Instruct-bnb-4bit | null | [
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| GPU = NVIDIA A100 80GB PCIe. Max memory = 79.151 GB.
41.705 GB of memory reserved.
# Uploaded model
- Developed by: vdavidr
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'env_id': 'LunarLander-v2'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video':... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | rahil1206/ppo-tutorial-LunarLander-v2 | null | [
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"ppo",
"deep-reinforcement-learning",
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"custom-implementation",
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
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. -->
# bart-base-finetuned-xsum
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xsum"], "metrics": ["rouge"], "model-index": [{"name": "bart-base-finetuned-xsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "xsum", "type": "xsum", "config": "d... | Suryansh5545/bart-base-finetuned-xsum | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-05-01T21:34:46+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #generated_from_trainer #dataset-xsum #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| bart-base-finetuned-xsum
========================
This model is a fine-tuned version of facebook/bart-base on the xsum dataset.
It achieves the following results on the evaluation set:
* Loss: 4.8623
* Rouge1: 19.9221
* Rouge2: 4.0013
* Rougel: 15.482
* Rougelsum: 15.5006
* Gen Len: 19.0
Model description
-------... | [
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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. -->
# 76132710eb20c4f689fb2d4764710e2c
This model is a fine-tuned version of [mnoukhov/pythia-2.8b-sft_hh_rlhf](https://huggingface.co... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mnoukhov/pythia-2.8b-sft_hh_rlhf", "model-index": [{"name": "76132710eb20c4f689fb2d4764710e2c", "results": []}]} | mnoukhov/76132710eb20c4f689fb2d4764710e2c | null | [
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"generated_from_trainer",
"base_model:mnoukhov/pythia-2.8b-sft_hh_rlhf",
"region:us"
] | null | 2024-05-01T21:35:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mnoukhov/pythia-2.8b-sft_hh_rlhf #region-us
| 76132710eb20c4f689fb2d4764710e2c
================================
This model is a fine-tuned version of mnoukhov/pythia-2.8b-sft\_hh\_rlhf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7085
* Rewards/chosen: -0.0079
* Rewards/rejected: 0.0135
* Rewards/accuracies: 0.4
* R... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam w... | [
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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. -->
# pythia-2.8b-dpo_hh_rlhf
This model is a fine-tuned version of [mnoukhov/pythia-2.8b-sft_hh_rlhf](https://huggingface.co/mnoukhov... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mnoukhov/pythia-2.8b-sft_hh_rlhf", "model-index": [{"name": "pythia-2.8b-dpo_hh_rlhf", "results": []}]} | mnoukhov/pythia-2.8b-dpo_hh_rlhf | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mnoukhov/pythia-2.8b-sft_hh_rlhf",
"region:us"
] | null | 2024-05-01T21:35:39+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mnoukhov/pythia-2.8b-sft_hh_rlhf #region-us
| pythia-2.8b-dpo\_hh\_rlhf
=========================
This model is a fine-tuned version of mnoukhov/pythia-2.8b-sft\_hh\_rlhf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6625
* Rewards/chosen: -0.2202
* Rewards/rejected: -0.3625
* Rewards/accuracies: 0.5953
* Rewards/mar... | [
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image-to-text | 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. -->
# Dr.Di
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
More infor... | {"tags": ["generated_from_trainer"], "pipeline_tag": "image-to-text", "model-index": [{"name": "Dr.Di", "results": []}]} | Huthayfa/Dr.Di | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"image-to-text",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T21:36:06+00:00 | [] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #generated_from_trainer #image-to-text #endpoints_compatible #region-us
|
# Dr.Di
This model is a fine-tuned version of [](URL 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 hyperparam... | [
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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-Soliloquy-8B-v1-24k - bnb 4bits
- Model creator: https://huggingface.co/openlynn/
- Original model: https://huggingf... | {} | RichardErkhov/openlynn_-_Llama-3-Soliloquy-8B-v1-24k-4bits | null | [
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] | null | 2024-05-01T21:36:06+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-3-Soliloquy-8B-v1-24k - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: cc-by-nc-sa-4.0
language:
* en
---
LYNN - AI for Roleplay
====================... | [] | [
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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-70m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-133_EnronSpam_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-133_EnronSpam_n-its-10-seed-4 | null | [
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"gpt_neox",
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"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T21:38:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-70m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# kasrahabib/all-MiniLM-L6-v2-finetuned-isobased-req-detector
This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "sentence-transformers/all-MiniLM-L6-v2", "model-index": [{"name": "kasrahabib/all-MiniLM-L6-v2-finetuned-isobased-req-detector", "results": []}]} | kasrahabib/all-MiniLM-L6-v2-finetuned-isobased-req-detector | null | [
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| kasrahabib/all-MiniLM-L6-v2-finetuned-isobased-req-detector
===========================================================
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0257
* Validation Loss:... | [
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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": []} | clio-ai/new_recipes15M | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
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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": []} | clio-ai/new_stories15M | 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]:
- 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. -->
# robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-3 | null | [
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"region:us"
] | null | 2024-05-01T21:46:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
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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="bcama/q-Taxi-v3-v1-4x4", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3-v1-4x4", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "... | bcama/q-Taxi-v3-v1-4x4 | null | [
"Taxi-v3",
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"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#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-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-31m_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-2 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T21:47:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Viag/mistral-7b-philosopher-DPO | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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feature-extraction | 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": []} | andersonbcdefg/tiny-emb-2024-05-01_21-48-42 | null | [
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#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- 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. -->
# robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-4 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T21:49:23+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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-31m_mz-133_EnronSpam_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-1 | null | [
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"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T21:51:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-31m_mz-133_EnronSpam_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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text-generation | transformers |
# Hermes 2 Pro - Llama-3 8B

## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | blockblockblock/Hermes-2-Pro-Llama-3-8B-bpw2.25-exl2 | null | [
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"Llama-3",
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"base_model:Nou... | null | 2024-05-01T21:53:17+00:00 | [] | [
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# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
This new version of Herme... | [
"# Hermes 2 Pro - Llama-3 8B\n\n!image/png",
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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_asr_v3 | 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]:
- Model type:
- Language(s) (NLP):
- License... | [
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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)
Llama3-OpenBioLLM-8B - bnb 8bits
- Model creator: https://huggingface.co/aaditya/
- Original model: https://huggingface.co/a... | {} | RichardErkhov/aaditya_-_Llama3-OpenBioLLM-8B-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama3-OpenBioLLM-8B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
base\_model: meta-llama/Meta-Llama-3-8B
tags:
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* instruct
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* ch... | [] | [
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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. -->
# CS505_COQE_viT5_train_Instruction2_SOAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction2_SOAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction2_SOAPL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction2_SOAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction2_SOAPL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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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. -->
# bart-large-oposum2
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-large-oposum2", "results": []}]} | marcelomoreno26/bart-large-oposum | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-facebook/bart-large #license-apache-2.0 #region-us
| bart-large-oposum2
==================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2051
* Rouge1: 0.6185
* Rouge2: 0.6021
* Rougel: 0.6157
* Rougelsum: 0.6157
* Gen Len: 18.932
Model description
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# DreamBooth - yuffish/chair-1.5
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "inference": true, "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "a photo of sks object"} | yuffish/chair-1.5 | null | [
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|
# DreamBooth - yuffish/chair-1.5
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks object using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
#... | [
"# DreamBooth - yuffish/chair-1.5\n\nThis is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks object using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: False.",
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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. -->
# CS505_COQE_viT5_train_Instruction3_SOAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction3_SOAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction3_SOAPL_v1 | null | [
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"region:us"
] | null | 2024-05-01T22:04:19+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction3_SOAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction3_SOAPL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Evanparis240/distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Evanparis240/distilbert-base-uncased-finetuned-squad", "results": []}]} | Evanparis240/distilbert-base-uncased-finetuned-squad | null | [
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#transformers #tf #tensorboard #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| Evanparis240/distilbert-base-uncased-finetuned-squad
====================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.9661
* Train End Logits Accuracy: 0.7308
* Train Sta... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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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. -->
# llava_13b_neighborhood
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "liuhaotian/llava-v1.5-13b", "model-index": [{"name": "llava_13b_neighborhood", "results": []}]} | emendes3/llava_13b_neighborhood | null | [
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"llava_llama",
"generated_from_trainer",
"base_model:liuhaotian/llava-v1.5-13b",
"4-bit",
"region:us"
] | null | 2024-05-01T22:05:17+00:00 | [] | [] | TAGS
#peft #safetensors #llava_llama #generated_from_trainer #base_model-liuhaotian/llava-v1.5-13b #4-bit #region-us
| llava\_13b\_neighborhood
========================
This model is a fine-tuned version of liuhaotian/llava-v1.5-13b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4711
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 32\n* total\\_eval\\_batch\\_size: 32\n* o... | [
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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. -->
# CS505_COQE_viT5_train_Instruction4_SOAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction4_SOAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction4_SOAPL_v1 | null | [
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"safetensors",
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T22:06:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction4_SOAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction4_SOAPL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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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": "unsloth/llama-3-8b-bnb-4bit"} | Dabococo/OWAI3_test_1 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 890b0f2fd40530ea61ddf8cdd621bdbc
This model is a fine-tuned version of [mnoukhov/pythia-2.8b-sft_hh_rlhf](https://huggingface.co... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mnoukhov/pythia-2.8b-sft_hh_rlhf", "model-index": [{"name": "890b0f2fd40530ea61ddf8cdd621bdbc", "results": []}]} | mnoukhov/890b0f2fd40530ea61ddf8cdd621bdbc | null | [
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#peft #safetensors #generated_from_trainer #base_model-mnoukhov/pythia-2.8b-sft_hh_rlhf #region-us
| 890b0f2fd40530ea61ddf8cdd621bdbc
================================
This model is a fine-tuned version of mnoukhov/pythia-2.8b-sft\_hh\_rlhf on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/getoffufkingbots | null | [
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# Model Card for Model ID
## Model Details
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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null | null |
# Percival_01Meliodaspercival_01_experiment26t3q-7B
Percival_01Meliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: AurelPx/Perc... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Percival_01Meliodaspercival_01_experiment26t3q-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Percival_01Meliodaspercival_01_experiment26t3q-7B
Percival_01Meliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/nitky/Megac4ai-command-r-plus
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Megac4ai... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nitky/Megac4ai-command-r-plus", "quantized_by": "mradermacher"} | mradermacher/Megac4ai-command-r-plus-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
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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.
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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-3-8B-Instruct"} | asbabiy/AspectLens-BA-Medium-DPO | null | [
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# Model Card for Model ID
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text-generation | transformers | # merged-model
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:
* [meta-llama/Meta-Llama-3-8B-Instruct]... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "beomi/Llama-3-Open-Ko-8B"]} | Grace0710/kollama3_solarInstruct_merge | null | [
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"region:us"
] | null | 2024-05-01T22:20:07+00:00 | [] | [] | TAGS
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| # merged-model
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:
* meta-llama/Meta-Llama-3-8B-Instruct
* beomi/Llama-3-Open-Ko-8B
### Config... | [
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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. -->
# tinyllama-moe-base-mix-orpo
This model is a fine-tuned version of [four-two-labs/tinyllama-moe-base](https://huggingface.co/four... | {"tags": ["trl", "orpo", "generated_from_trainer"], "base_model": "four-two-labs/tinyllama-moe-base", "model-index": [{"name": "orpo", "results": []}]} | four-two-labs/tinyllama-moe-base-mix-orpo | null | [
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| tinyllama-moe-base-mix-orpo
===========================
This model is a fine-tuned version of four-two-labs/tinyllama-moe-base on the 'see code' dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1757
* Rewards/chosen: -0.1708
* Rewards/rejected: -0.1682
* Rewards/accuracies: 0.5003
* Rewar... | [
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | rshah240/llava-1.5-7b-hf-ft-mix-vsft | null | [
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"safetensors",
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"sft",
"generated_from_trainer",
"base_model:llava-hf/llava-1.5-7b-hf",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
"# llava-1.5-7b-hf-ft-mix-vsft\n\nThis model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on the None dataset.",
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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": []} | abc88767/model34 | null | [
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null | null | # Model Card for Oriented R-CNN pretrained on DOTA 1.0
<!-- Provide a quick summary of what the model is/does. [Optional] -->
The original paper is [Oriented R-CNN for Object Detection](https://openaccess.thecvf.com/content/ICCV2021/papers/Xie_Oriented_R-CNN_for_Object_Detection_ICCV_2021_paper.pdf).
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is being trained on around 400B tokens and this is step 32k.
The evaluation is being conducted now.
## License
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null | transformers |
# Uploaded model
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text-generation | transformers |
# Uploaded model
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
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Self trained GPT-2 large. Around 770M parameters.
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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"} | spandit/web-400k-model | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-3-8B-sft-lora-ultrachat
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Llama-3-8B-sft-lora-ultrachat", "results": []}]} | tobyyu007/Llama-3-8B-sft-lora-ultrachat | null | [
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| Llama-3-8B-sft-lora-ultrachat
=============================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3621
Model description
-----------------
More information needed
Intended uses & li... | [
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"### 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... | [
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"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us \n### 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\\_bat... |
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": []} | khederwaaOne/wav2vec2-large-xls-r-300m-tr-somali | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T22:50:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- 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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"# 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- ... | [
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"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
text-generation | transformers |
# bling-phi-3
<!-- Provide a quick summary of what the model is/does. -->
bling-phi-3 is part of the BLING ("Best Little Instruct No-GPU") model series, RAG-instruct trained on top of a Microsoft Phi-3 base model.
### Benchmark Tests
Evaluated against the benchmark test: [RAG-Instruct-Benchmark-Tester](https:... | {"license": "apache-2.0", "inference": false} | llmware/bling-phi-3 | null | [
"transformers",
"pytorch",
"phi3",
"text-generation",
"conversational",
"custom_code",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-05-01T22:54:46+00:00 | [] | [] | TAGS
#transformers #pytorch #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #region-us
|
# bling-phi-3
bling-phi-3 is part of the BLING ("Best Little Instruct No-GPU") model series, RAG-instruct trained on top of a Microsoft Phi-3 base model.
### Benchmark Tests
Evaluated against the benchmark test: RAG-Instruct-Benchmark-Tester
1 Test Run (temperature=0.0, sample=False) with 1 point for corre... | [
"# bling-phi-3\n\n\n\nbling-phi-3 is part of the BLING (\"Best Little Instruct No-GPU\") model series, RAG-instruct trained on top of a Microsoft Phi-3 base model.",
"### Benchmark Tests \n\nEvaluated against the benchmark test: RAG-Instruct-Benchmark-Tester \n1 Test Run (temperature=0.0, sample=False) with 1... | [
"TAGS\n#transformers #pytorch #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #region-us \n",
"# bling-phi-3\n\n\n\nbling-phi-3 is part of the BLING (\"Best Little Instruct No-GPU\") model series, RAG-instruct trained on top of a Microsoft Phi-3 base model.",
"### B... | [
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"TAGS\n#transformers #pytorch #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #region-us \n# bling-phi-3\n\n\n\nbling-phi-3 is part of the BLING (\"Best Little Instruct No-GPU\") model series, RAG-instruct trained on top of a Microsoft Phi-3 base model.### Benchmark Tes... |
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