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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/xxqmw1f | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** shrenav123
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | shrenav123/Llama-3-8b-chat-finetune | 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.
<img src="URL width="200"/>
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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. -->
# dinov2-base-finetuned-oxford
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-base", "model-index": [{"name": "dinov2-base-finetuned-oxford", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "i... | mansee/dinov2-base-finetuned-oxford | null | [
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| dinov2-base-finetuned-oxford
============================
This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2714
* Accuracy: 0.9299
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* gradient\\_accumulation\\_steps: 3\n* total\\_train\\_batch\\_size: 9\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-to-image | null | ### kokhaface Dreambooth model trained by copybaiter with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stab... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | copybaiter/kokhaface | null | [
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#text-to-image #stable-diffusion #license-creativeml-openrail-m #region-us
| ### kokhaface Dreambooth model trained by copybaiter with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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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. -->
# starcoderbase-finetuned-pdf
This model is a fine-tuned version of [bigcode/starcoderbase-3b](https://huggingface.co/bigcode/star... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigcode/starcoderbase-3b", "model-index": [{"name": "starcoderbase-finetuned-pdf", "results": []}]} | ArneKreuz/starcoderbase-finetuned-pdf | null | [
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#peft #safetensors #generated_from_trainer #base_model-bigcode/starcoderbase-3b #license-bigcode-openrail-m #region-us
| starcoderbase-finetuned-pdf
===========================
This model is a fine-tuned version of bigcode/starcoderbase-3b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9129
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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null | null | https://drive.google.com/file/d/1V91ppG1M-IZcSFDyTBa4FNnMST9_vnkV/view | {"license": "mit"} | Elfenreigen/UniChest | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | RyotaKadoya1993/PEFT-MoE2 | null | [
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"sft",
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"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #mixtral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# dinov2-base-finetuned-eurosat
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-base", "model-index": [{"name": "dinov2-base-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "... | Isaskar/dinov2-base-finetuned-eurosat | null | [
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| dinov2-base-finetuned-eurosat
=============================
This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5223
* Accuracy: 0.7536
Model description
-----------------
More information needed
Intended use... | [
"### 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 | 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": "huggyllama/llama-7b"} | shrenikb/hftestepoch4id4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
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### Model Sources [optional]
- Repository:
- Paper [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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep39 | null | [
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"1910.09700"
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#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# zodiac hentaihub API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "zodiac-hentaihub"
... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/zodiac-hentaihub | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-29T07:38:34+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# zodiac hentaihub API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "zodiac-hentaihub"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model li... | [
"# zodiac hentaihub API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"zodiac-hentaihub\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Gene... | [
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text-to-image | diffusers | # ✮⋆ Supermodel Helga 🎀 SD 1.5 ⋆✮ by Aesthetics
<Gallery />
## Model description
Check this model out on CivitAI: https://civitai.com/models/425041/supermodel-helga-sd-15-by-aesthetics
NOW FOR SD1.5! With a face that could curdle milk and a body that resembled a deflated balloon, I presen... | {"license": "cc-by-nc-nd-3.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/032.png"}}], "base_model": "runwayml/stable-diffusion-v1-5"} | AestheticsAce7/Supermodel-Helga-SD-1.5-by-Aesthetics | null | [
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"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-cc-by-nc-nd-3.0 #region-us
| # ⋆ Supermodel Helga SD 1.5 ⋆ by Aesthetics
<Gallery />
## Model description
Check this model out on CivitAI: https://URL/models/425041/supermodel-helga-sd-15-by-aesthetics
NOW FOR SD1.5! With a face that could curdle milk and a body that resembled a deflated balloon, I present to you, He... | [
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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. -->
# eurus-7b-cost-UF-5e-7
This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sft) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "openbmb/Eurus-7b-sft", "model-index": [{"name": "eurus-7b-cost-UF-5e-7", "results": []}]} | just1nseo/eurus-7b-cost-UF-5e-7 | null | [
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"trl",
"dpo",
"generated_from_trainer",
"base_model:openbmb/Eurus-7b-sft",
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T07:39:24+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-openbmb/Eurus-7b-sft #license-apache-2.0 #region-us
| eurus-7b-cost-UF-5e-7
=====================
This model is a fine-tuned version of openbmb/Eurus-7b-sft on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8416
* Rewards/chosen: -2.9562
* Rewards/rejected: -3.7258
* Rewards/accuracies: 0.6045
* Rewards/margins: 0.7696
* Rewards/m... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n*... | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zlm_b64_le5_s12000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b64_le5_s12000", "results": []}]} | mikhail-panzo/zlm_b64_le5_s12000 | null | [
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#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| zlm\_b64\_le5\_s12000
=====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3623
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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": []} | RyotaKadoya1993/PEFT-MoE3 | 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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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
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": []}]} | caowenqin209/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0925
* Accuracy: 0.97
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. -->
# eurus-7b-cost-UI-5e-7
This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sft) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "openbmb/Eurus-7b-sft", "model-index": [{"name": "eurus-7b-cost-UI-5e-7", "results": []}]} | just1nseo/eurus-7b-cost-UI-5e-7 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-openbmb/Eurus-7b-sft #license-apache-2.0 #region-us
| eurus-7b-cost-UI-5e-7
=====================
This model is a fine-tuned version of openbmb/Eurus-7b-sft on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6940
* Rewards/chosen: -0.7885
* Rewards/rejected: -0.8474
* Rewards/accuracies: 0.5380
* Rewards/margins: 0.0589
* Rewards/m... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n*... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Norquinal/Jamba-v0.1-Claude-Chat-LoRA | null | [
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|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_2iters_bs256_nodpo_full6w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugging... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_2iters_bs256_nodpo_full6w_iter_1", "results": []}]} | ShenaoZhang/0.001_2iters_bs256_nodpo_full6w_iter_1 | null | [
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|
# 0.001_2iters_bs256_nodpo_full6w_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout4
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout4 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: down... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of Jean-Francois Godbout giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of Jean-Francois Godbou... | aarashfeizi/jean-francois-godbout4 | null | [
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"license:openrail++",
"region:us"
] | null | 2024-04-29T07:45:08+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout4
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout4 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download... | [
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null | transformers |
# Uploaded model
- **Developed by:** chienweichang
- **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.
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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": []} | golf2248/dokfl61 | null | [
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text-generation | transformers |
# Fork from meta-llama/Meta-Llama-3-8B-Instruct
## 4-bit Quantization
```python
nf4_config = BitsAndBytesConfig(load_in_4bit=True,
bnb_4bit_use_double_quant=True,
bnb_4bit_compute_dtype=torch.bfloat16,
bnb_4bit_quant_type=... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | rainjay/Meta-Llama-3-8B-Instruct-4bit | null | [
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| Fork from meta-llama/Meta-Llama-3-8B-Instruct
=============================================
4-bit Quantization
------------------
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models... | [
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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": []} | golf2248/x9qkx6s | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | golf2248/0m2brug | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/zsx4ykb | null | [
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image-classification | timm | # Model card for convnext-eurosat
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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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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": []} | eunyounglee/EEVE-LLM2Vec-MNTP-1-quant | null | [
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null | transformers |
# Uploaded model
- **Developed by:** chienweichang
- **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.
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# Uploaded model
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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. -->
# donut-base-sroie
This model is a fine-tuned version of [Ajit1498/donut-base-sroie](https://huggingface.co/Ajit1498/donut-base-sr... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "Ajit1498/donut-base-sroie", "model-index": [{"name": "donut-base-sroie", "results": []}]} | Ajit1498/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of Ajit1498/donut-base-sroie on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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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": []} | ohsuz/exp_pro | null | [
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image-classification | transformers | # Fine-tuned Vision Transformer for Alzheimer's Detection
This repository hosts a Vision Transformer (ViT) model fine-tuned on the OASIS MRI dataset for the classification of brain MRI images based on the progression of Alzheimer's disease. The model categorizes images into four classes: demented, very mild demented, ... | {"library_name": "transformers"} | EnDevSols/Vision_Transformer_FineTuned | null | [
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| # Fine-tuned Vision Transformer for Alzheimer's Detection
This repository hosts a Vision Transformer (ViT) model fine-tuned on the OASIS MRI dataset for the classification of brain MRI images based on the progression of Alzheimer's disease. The model categorizes images into four classes: demented, very mild demented, ... | [
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text-generation | transformers | # biomistral_dare_ties_7b
This model is the result of merge of the following models made with flow-merge:
- Base model:
- BioMistral/BioMistral-Safetensors
- Models:
- mistralai/Mistral-7B-Instruct-v0.2
## flow-merge config
The following configuration was used to merge the models:
```yaml
method: dare-ties-merg... | {"library_name": "transformers", "tags": ["flow-merge", "merge"]} | Flowrite/biomistral_dare_ties_7b | null | [
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| # biomistral_dare_ties_7b
This model is the result of merge of the following models made with flow-merge:
- Base model:
- BioMistral/BioMistral-Safetensors
- Models:
- mistralai/Mistral-7B-Instruct-v0.2
## flow-merge config
The following configuration was used to merge the models:
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.02587084472179413
f1: 0.994432092613179
precision: 0.9922734879273248
recall: 0.9966001094879995
auc: 0.9992992593502781
accuracy: 0.9944289693593314
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-k11p0-ej4kd/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | purpleor/autotrain-k11p0-ej4kd | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.02587084472179413
f1: 0.994432092613179
precision: 0.9922734879273248
recall: 0.9966001094879995
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accuracy: 0.9944289693593314
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null | null |
This is a converted and quantized version of the [zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) model | {"language": ["en"], "license": "mit"} | SamTheDev/zephyr-7b-beta-4bit-gguf | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Peppenapo/gemmaFinetuneTESTFORRAG | 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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- Shared by [optional]:
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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. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | ahmad01010101/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
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: 1.9456
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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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. -->
# PolizzeDonut-LastProvaClust-Cluster3di4-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster3di4-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster3di4-5Epochs | null | [
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|
# PolizzeDonut-LastProvaClust-Cluster3di4-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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text-classification | setfit |
# SetFit with intfloat/multilingual-e5-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A [Logistic... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "intfloat/multilingual-e5-large", "widget": [{"text": "What promotions in RTEC have shown declining effectiveness and can be discontinued?"}, {"text": "W... | vgarg/promo_prescriptive_29_04_2024 | null | [
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| SetFit with intfloat/multilingual-e5-large
==========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/multilingual-e5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The mode... | [
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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", "trl", "sft"]} | anchauha/lora_models | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-search-50-0.004 | null | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fil_b32_le3_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b32_le3_s4000", "results": []}]} | mikhail-panzo/fil_b32_le3_s4000 | null | [
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| fil\_b32\_le3\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5469
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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null | null |
GGUF version of [Josephgflowers/Tinyllama-616M-Cinder](https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder). | {"license": "mit", "base_model": "Josephgflowers/Tinyllama-616M-Cinder"} | Felladrin/gguf-Tinyllama-616M-Cinder | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Nandu2905/Indic-gemma-2b-finetuned-sft-Navarasa-2.0-gptq-4bit | 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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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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null | transformers |
# Uploaded model
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- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sourcetableteam/lora_model-LLama-3-8B-SQL | null | [
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text-generation | transformers |
# Mistral-child-2-2
Mistral-child-2-2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [PotatoB/Mistral-child-1-1](https://huggingface.co/PotatoB/Mistral-child-1-1)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
## 🧩 Configu... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "PotatoB/Mistral-child-1-1", "mistralai/Mistral-7B-Instruct-v0.2"]} | PotatoB/Mistral-child-2-2 | null | [
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|
# Mistral-child-2-2
Mistral-child-2-2 is a merge of the following models using mergekit:
* PotatoB/Mistral-child-1-1
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
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text-classification | setfit |
# SetFit with BAAI/bge-small-en-v1.5
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scik... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "BAAI/bge-small-en-v1.5", "widget": [{"text": "b'\\xe2\\x80\\x9cnasfund &&\\n\\nMemorandum\\nTo: Accounts Payables Office\\nDate: 15 February 2024\\nFrom... | Gopal2002/NASFUND_MODEL | null | [
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| SetFit with BAAI/bge-small-en-v1.5
==================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Luluuu/0428_Bart_baseline_checkpoint_48500 | null | [
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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. -->
# PolizzeDonut-LastProvaClust-Cluster4di4-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster4di4-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster4di4-5Epochs | null | [
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"license:mit",
"endpoints_compatible",
"region:us"
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|
# PolizzeDonut-LastProvaClust-Cluster4di4-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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text-generation | transformers | This is [Jamba-v0.1](https://huggingface.co/ai21labs/Jamba-v0.1) fine-tuned using [QLoRA](https://huggingface.co/Norquinal/Jamba-v0.1-Claude-Chat-LoRA) (4-bit precision) on my [claude_multiround_chat_1k](https://huggingface.co/datasets/Norquinal/claude_multiround_chat_1k) dataset, which is a randomized subset of ~1000 ... | {"license": "cc-by-nc-4.0", "datasets": ["Norquinal/claude_multiround_chat_1k"]} | Norquinal/Jamba-v0.1-Claude-Chat | null | [
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"autotrain_compatible",
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#transformers #safetensors #jamba #text-generation #dataset-Norquinal/claude_multiround_chat_1k #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us
| This is Jamba-v0.1 fine-tuned using QLoRA (4-bit precision) on my claude_multiround_chat_1k dataset, which is a randomized subset of ~1000 samples from my claude_multiround_chat_30k dataset.
## Prompt Format
The model was finetuned with a pseudo-Alpaca format:
## Example Usage
>### Instruction
>A chat between a curi... | [
"## Prompt Format\nThe model was finetuned with a pseudo-Alpaca format:",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-CALLCENTER
This model is a fine-tuned version of [Niccogrillo/wav2vec2-base-CALLCENTER](https://huggingface.co/Nic... | {"tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-base-CALLCENTER", "results": []}]} | Niccogrillo/wav2vec2-base-CALLCENTER | null | [
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#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #endpoints_compatible #region-us
| wav2vec2-base-CALLCENTER
========================
This model is a fine-tuned version of Niccogrillo/wav2vec2-base-CALLCENTER on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4605
* Wer: 0.2139
Model description
-----------------
More information needed
Intended uses & ... | [
"### 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* lr\\_scheduler\\_warmup\\_steps: ... | [
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text-generation | transformers |
# stablelm-2-modelstcock
stablelm-2-modelstcock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: stabilityai/stablelm-2-zephyr-1_6b
- model: stabilityai/stablelm-2-1_6b
-... | {"tags": ["merge", "mergekit", "lazymergekit"]} | aipib/stablelm-2-modelstcock | null | [
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#transformers #safetensors #stablelm #text-generation #merge #mergekit #lazymergekit #conversational #autotrain_compatible #endpoints_compatible #region-us
|
# stablelm-2-modelstcock
stablelm-2-modelstcock is a merge of the following models using LazyMergekit:
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/nhd9s9f | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/4nbh7ee | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-search-filtered-50-0.003 | 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-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 generated... | {"library_name": "transformers", "tags": []} | Pongsasit/mod-th-cross-encoder-minilm | null | [
"transformers",
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"bert",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T08:12:50+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #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: Pongsasit Thongpramoon
- Model type: Cross Encoder
- Language(s) (NLP): Thai
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-factory"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18,... | arml/ifit-aic-nasm-tailor | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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text-generation | null |
# reach-vb/Phi-3-mini-4k-instruct-Q8_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-4k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mode... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations o... | reach-vb/Phi-3-mini-4k-instruct-Q8_0-GGUF | null | [
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# reach-vb/Phi-3-mini-4k-instruct-Q8_0-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-4k-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** s50227harry
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | s50227harry/llama3-8b-oig-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: s50227harry
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-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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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "my_awesome_mind_model", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "minds14", ... | Firepaw/my_awesome_mind_model | null | [
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| my\_awesome\_mind\_model
========================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6566
* Accuracy: 0.0796
Model description
-----------------
More information needed
Intended uses & limitati... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | usr-bin-ksh/autotrain-tbki1-jbv6p | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | null | # Llama-3-8B-Instruct-262k-GGUF
- Original model: [Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k).
<!-... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "GGUF"], "pipeline_tag": "text-generation", "quantized_by": "andrijdavid"} | LiteLLMs/Llama-3-8B-Instruct-262k-GGUF | null | [
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| Llama-3-8B-Instruct-262k-GGUF
=============================
* Original model: Llama-3-8B-Instruct-262k
Description
-----------
This repo contains GGUF format model files for Llama-3-8B-Instruct-262k.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GG... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/all_5286_all_6417_bart-base_rl | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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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. -->
# outputs
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) ... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "outputs", "results": []}]} | Cem13/med_llama_8b_0 | null | [
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|
# outputs
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit 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
T... | [
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null | transformers |
# Uploaded model
- **Developed by:** s50227harry
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | s50227harry/llama3-8b-oig-unsloth | null | [
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|
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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": []} | houssemmoslah/mistral_schema_linking1_merged | 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "lora-out", "results": []}]} | kloodia/lora-8b-code | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out
========
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8585
Model description
---... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
This model is fine-tuned for RAG for SEC filings, using synthetically created QA pairs with GPT-4-turbo.
The format is as follows:
```
text = f"### Question: {question}, ### Context: {ctx}, ### Answer: {answer}"
```
**NOTE**: This model was fine-tuned using the full-model (bfloat16), and not adapters. | {"license": "apache-2.0", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | ali77sina/tinyLlama-SEC-RAG-FT | null | [
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|
This model is fine-tuned for RAG for SEC filings, using synthetically created QA pairs with GPT-4-turbo.
The format is as follows:
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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. -->
# finetuningtest
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "finetuningtest", "results": []}]} | danielkosyra/finetuningtest | null | [
"transformers",
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"text-generation",
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"base_model:gpt2",
"license:mit",
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"region:us"
] | null | 2024-04-29T08:26:38+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| finetuningtest
==============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7542
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | null | Qu'est-ce que Yenki Derm Baume?
Yenki Derm Ingrédients est une crème de qualité supérieure spécialement conçue pour soulager les symptômes du psoriasis, notamment l'inflammation, les démangeaisons et la desquamation cutanée. Sa formule avancée intègre un mélange synergique d'ingrédients naturels connus pour leurs prop... | {"license": "apache-2.0"} | YenkiDerm/YenkiDerm | null | [
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"region:us"
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#license-apache-2.0 #region-us
| Qu'est-ce que Yenki Derm Baume?
Yenki Derm Ingrédients est une crème de qualité supérieure spécialement conçue pour soulager les symptômes du psoriasis, notamment l'inflammation, les démangeaisons et la desquamation cutanée. Sa formule avancée intègre un mélange synergique d'ingrédients naturels connus pour leurs prop... | [] | [
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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. -->
# darija_englishV2.1
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-m... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-ar-en", "model-index": [{"name": "darija_englishV2.1", "results": []}]} | hananeChab/darija_englishV2.1 | null | [
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"autotrain_compatible",
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"region:us"
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| darija\_englishV2.1
===================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3635
* Bleu: 32.8666
* Gen Len: 11.7901
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 10\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 7\n* mixed\\_prec... | [
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text-generation | transformers | Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3-70B
](https://huggingface.co/meta-llama/Meta-Llama-3-70B).
For this quantization, we used 1 codebook of 16 bits.
Results (measured with `lm_eval==4.0`):
| Model | Quantization | MMLU (5-shot) | ArcC| ArcE| Hellaswag | Win... | {"library_name": "transformers", "tags": ["llama", "facebook", "meta", "llama-3", "conversational", "text-generation-inference"]} | ISTA-DASLab/Meta-Llama-3-70B-AQLM-2Bit-1x16 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"2401.06118"
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#transformers #safetensors #llama #text-generation #facebook #meta #llama-3 #conversational #text-generation-inference #arxiv-2401.06118 #autotrain_compatible #endpoints_compatible #region-us
| Official AQLM quantization of meta-llama/Meta-Llama-3-70B
.
For this quantization, we used 1 codebook of 16 bits.
Results (measured with 'lm\_eval==4.0'):
| [] | [
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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": []}]} | moulichand/videomae-base-finetuned-ucf101-subset | null | [
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"generated_from_trainer",
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"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
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| 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: 0.7149
* Accuracy: 0.9038
Model description
-----------------
More information needed
... | [
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null | null | # Customer comment classification (task ad) - Mbart (model ad)
# use case description
# model result (evaluation, skorlar)
# Code snippet (bu kodu run etmek ucun ne yazmaq lazimdir) | {} | Ilkinism/test-private8 | null | [
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# use case description
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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. -->
# PolizzeDonut-LastProvaClust-Cluster1di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster1di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster1di7-5Epochs | null | [
"transformers",
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"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T08:34:01+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-LastProvaClust-Cluster1di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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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": []} | shallow6414/z9j0dz7 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T08:35:04+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers | # biomistral_dare_ties_v1_7b
This model is the result of merge of the following models made with flow-merge:
- Base model:
- mistralai/Mistral-7B-v0.1
- Models:
- mistralai/Mistral-7B-Instruct-v0.1
- BioMistral/BioMistral-Safetensors
## flow-merge config
The following configuration was used to merge the models:... | {"library_name": "transformers", "tags": ["flow-merge", "merge"]} | Flowrite/biomistral_dare_ties_v1_7b | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"flow-merge",
"merge",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T08:35:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #flow-merge #merge #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # biomistral_dare_ties_v1_7b
This model is the result of merge of the following models made with flow-merge:
- Base model:
- mistralai/Mistral-7B-v0.1
- Models:
- mistralai/Mistral-7B-Instruct-v0.1
- BioMistral/BioMistral-Safetensors
## flow-merge config
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text-classification | setfit |
# SetFit with BAAI/bge-small-en-v1.5
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scik... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "BAAI/bge-small-en-v1.5", "widget": [], "pipeline_tag": "text-classification", "inference": true} | Gopal2002/SETFIT_NASFUND_ZEONAI | null | [
"setfit",
"safetensors",
"bert",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:BAAI/bge-small-en-v1.5",
"region:us"
] | null | 2024-04-29T08:35:22+00:00 | [
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|
# SetFit with BAAI/bge-small-en-v1.5
This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning te... | [
"# SetFit with BAAI/bge-small-en-v1.5\n\nThis is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.\n\nThe model has been trained using an efficient few-shot lea... | [
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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. -->
# QA_model5
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "QA_model5", "results": []}]} | MattNandavong/QA_model5 | null | [
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# QA_model5
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follo... | [
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text-generation | transformers | # GreenBit LLaMA
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/Llama-3-70B-layer-mix-bpw-4.0 | null | [
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| # GreenBit LLaMA
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["cross-encoder"]} | Josef0801/vectara_hallucination2 | 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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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 | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | Grayx/sad_llama_45 | null | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
House plans
#trained on:WhiteCase
## Model Details
```python
class TrainingConfig:
image_size = 256 # the generated image resolution
train_batch_size = 4
eval_batch_size = 4 # how many images to sample during evaluati... | {"library_name": "diffusers"} | uisikdag/robin2 | null | [
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House plans
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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. -->
# tulu2-7b-cost-UF-UI-5e-6
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-UI-5e-6", "results": []}]} | just1nseo/tulu2-7b-cost-UF-UI-5e-6 | null | [
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| tulu2-7b-cost-UF-UI-5e-6
========================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8997
* Rewards/chosen: -4.7706
* Rewards/rejected: -5.6615
* Rewards/accuracies: 0.5878
* Rewards/margins: 0.8909
* Reward... | [
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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-sst2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-sst2", "results": []}]} | kkater/distilbert-base-uncased-finetuned-sst2 | null | [
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| distilbert-base-uncased-finetuned-sst2
======================================
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: 0.5504
* Accuracy: 0.9060
Model description
-----------------
More information neede... | [
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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. -->
# PolizzeDonut-LastProvaClust-Cluster2di7-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-LastProvaClust-Cluster2di7-5Epochs", "results": []}]} | tedad09/PolizzeDonut-LastProvaClust-Cluster2di7-5Epochs | null | [
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"license:mit",
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"region:us"
] | null | 2024-04-29T08:42:44+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-LastProvaClust-Cluster2di7-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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null | null |
# itayl/HebrewLlama-Q5_K_M-GGUF
This model was converted to GGUF format from [`ashercn97/HebrewLlama`](https://huggingface.co/ashercn97/HebrewLlama) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/ash... | {"tags": ["llama-cpp", "gguf-my-repo"]} | itayl/HebrewLlama-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-29T08:45:21+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# itayl/HebrewLlama-Q5_K_M-GGUF
This model was converted to GGUF format from 'ashercn97/HebrewLlama' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You c... | [
"# itayl/HebrewLlama-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'ashercn97/HebrewLlama' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | yeshwanthkesani/mistral_instruct_generation | null | [
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| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5716
Model description
-----------------
More information needed
Intended uses & lim... | [
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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/final50 | 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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- Shared by [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** nengyu
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | nengyu/llama3_lora_model_202404 | null | [
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|
# Uploaded model
- Developed by: nengyu
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: nengyu\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [motherfucker0/zhun01](https://huggingface.co/motherfucker0/zhun01) as a ba... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["motherfucker0/zhen09", "motherfucker0/zhun01", "motherfucker0/zhun02"]} | motherfucker0/derrick01 | null | [
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"base_model:motherfucker0/zhun02",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:... | null | 2024-04-29T08:50:21+00:00 | [
"2306.01708"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using motherfucker0/zhun01 as a base.
### Models Merged
The following models were included in the merge:
* motherfucker0/zhen09
* motherfucker0/zhun02
... | [
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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": []} | SuperkingbasSKB/llama2-qlora-thaisum | 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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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": []} | KorkmazKerem/gemma-2b-ner-tourism-tracker-v6 | null | [
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|
# Model Card for Model ID
## Model Details
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