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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_total_Instruction0_OPASL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_OPASL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_OPASL_v1_h1 | null | [
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|
# CS505_COQE_viT5_total_Instruction0_OPASL_v1_h1
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
### ... | [
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object-detection | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "microsoft/conditional-detr-resnet-50", "model-index": [{"name": "microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad", "results": []}]} | qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the cppe-5 dataset.
## Model description
More information needed
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | hossniper/poca-SoccerTwos | null | [
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|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
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text-to-image | null | # Juggernaut X v10 - Onnx Olive DirectML Optimized
## Original Model
https://huggingface.co/RunDiffusion/Juggernaut-X-v10
## C# Inference Demo
https://github.com/saddam213/OnnxStack
```csharp
// Create Pipeline
var pipeline = StableDiffusionXLPipeline.CreatePipeline("D:\\Models\\Juggernaut-X-v10-onnx");
// Prompt
... | {"pipeline_tag": "text-to-image"} | saddam213/Juggernaut-X-v10-onnx | null | [
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| # Juggernaut X v10 - Onnx Olive DirectML Optimized
## Original Model
URL
## C# Inference Demo
URL
## Inference Result
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null | transformers |
# Uploaded model
- **Developed by:** jspr
- **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/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jspr/smut_llama_8b_smutromance_32k_peft | null | [
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|
# Uploaded model
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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_total_Instruction0_SPAOL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_SPAOL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_SPAOL_v1_h1 | null | [
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|
# CS505_COQE_viT5_total_Instruction0_SPAOL_v1_h1
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
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text-generation | transformers |
# Uploaded model
- **Developed by:** jspr
- **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/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jspr/smut_llama_8b_smutromance_32k_merged | null | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Duosion/llama-3-tsuki-unsloth-8b
<!-- 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", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "Duosion/llama-3-tsuki-unsloth-8b", "quantized_by": "mradermacher"} | mradermacher/llama-3-tsuki-unsloth-8b-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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | Epoching/Reinforce-CartPole-v1 | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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text-generation | transformers |
# 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": []} | shallow6414/8ogm5vt | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/62v6d5q | 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
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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. -->
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text-generation | transformers |
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on [m-a-p/Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback) in order to answer questions ... | {"library_name": "transformers", "tags": ["trl", "sft"]} | candenizkocak/coder-Phi-3-mini-4k-instruct | null | [
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|
### Model Description
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null | null |
# MergerixYamshadowexperiment28-7B
MergerixYamshadowexperiment28-7B 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: MiniMoog/Mergerix-7b-v0.3
- model: automerge... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/MergerixYamshadowexperiment28-7B | null | [
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# MergerixYamshadowexperiment28-7B
MergerixYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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visual-question-answering | 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": []} | lazyghost/blip2-fnt | null | [
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# Model Card for Model ID
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null | transformers | ## About
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### vocab_type: -->
static quants of https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k
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-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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 | 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": []} | tenzintridhe/phi2-model-B | null | [
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## Model Details
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/erfanzar/Xerxes-8B-Instruct-v0.4
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "erfanzar/Xerxes-8B-Instruct-v0.4", "quantized_by": "mradermacher"} | mradermacher/Xerxes-8B-Instruct-v0.4-GGUF | null | [
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] | null | 2024-04-28T01:15:25+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-erfanzar/Xerxes-8B-Instruct-v0.4 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-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 - Pandluru/SDXL-Base
<Gallery />
## Model description
These are Pandluru/SDXL-Base LoRA adaption... | {"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 TOK dog", "wi... | Pandluru/SDXL-Base | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"dora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-28T01:17:28+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - Pandluru/SDXL-Base
<Gallery />
## Model description
These are Pandluru/SDXL-Base LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdx... | [
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"# SDXL LoRA DreamBooth - Pandluru/SDXL-Base\n\n<Gallery />",
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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. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold4
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-base-patch4-window12-192-22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold4", "results": [{"task": {"type": "image-classification", "name":... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold4 | null | [
"transformers",
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"swinv2",
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"license:apache-2.0",
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"autotrain_compatible",
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"region:us"
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#transformers #safetensors #swinv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swinv2-base-patch4-window12-192-22k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-base-patch4\_fold4
========================================================
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3001
* Accuracy: 0.6711... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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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": []} | HC-85/distilbert-lora-r64-arxiv-multilabel | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T01:20:54+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-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 - Pandluru/SDXL-Lightning
<Gallery />
## Model description
These are Pandluru/SDXL-Lightning 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 TOK dog", "wi... | Pandluru/SDXL-Lightning | null | [
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"text-to-image",
"diffusers-training",
"dora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-28T01:23:27+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - Pandluru/SDXL-Lightning
<Gallery />
## Model description
These are Pandluru/SDXL-Lightning LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madeb... | [
"# SDXL LoRA DreamBooth - Pandluru/SDXL-Lightning\n\n<Gallery />",
"## Model description\n\nThese are Pandluru/SDXL-Lightning LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used for ... | [
"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
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text2text-generation | transformers |
*Author - Hayden Beadles*
This model is meant to evaluate the results of creating an Encoder / Decoder generative model using BERT. The model is then finetuned on 30000 samples of the PubMedQA dataset. Instead of being finetuned on the columns question and final_answer, where final_answer is a set of yes / no answers... | {"language": ["en"], "license": "mit", "tags": ["medical"], "datasets": ["qiaojin/PubMedQA"]} | GeorgiaTech/bert-generative-pubmedqa | null | [
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"encoder-decoder",
"text2text-generation",
"medical",
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"dataset:qiaojin/PubMedQA",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T01:23:45+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #encoder-decoder #text2text-generation #medical #en #dataset-qiaojin/PubMedQA #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
*Author - Hayden Beadles*
This model is meant to evaluate the results of creating an Encoder / Decoder generative model using BERT. The model is then finetuned on 30000 samples of the PubMedQA dataset. Instead of being finetuned on the columns question and final_answer, where final_answer is a set of yes / no answers... | [] | [
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53
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] |
reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | hossniper/SPPO-LunarLander-v2 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-28T01:25:44+00:00 | [] | [] | TAGS
#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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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-2b-dolly-qa
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generat... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-dolly-qa", "results": []}]} | Codingjackking/gemma-2b-dolly-qa | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-28T01:25:51+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
| gemma-2b-dolly-qa
=================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0223
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### 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* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-to-image | diffusers | ## Import to Automatic1111
Create a folder named WorldDiffusion and insert the 3 files found to use it. | {"language": ["en"], "library_name": "diffusers", "tags": ["art"], "pipeline_tag": "text-to-image"} | GamerC0der/WorldDiffusion | null | [
"diffusers",
"art",
"text-to-image",
"en",
"region:us"
] | null | 2024-04-28T01:26:29+00:00 | [] | [
"en"
] | TAGS
#diffusers #art #text-to-image #en #region-us
| ## Import to Automatic1111
Create a folder named WorldDiffusion and insert the 3 files found to use it. | [
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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_total_Instruction0_PASOL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_PASOL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_PASOL_v1_h1 | null | [
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"t5",
"text2text-generation",
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"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T01:27:15+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_total_Instruction0_PASOL_v1_h1
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
### ... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/vincentoh/llama3-alpaca-dpo-instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "vincentoh/llama3-alpaca-dpo-instruct", "quantized_by": "mradermacher"} | mradermacher/llama3-alpaca-dpo-instruct-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-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 - Pandluru/Hyper-SDXL
<Gallery />
## Model description
These are Pandluru/Hyper-SDXL LoRA adapti... | {"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 TOK dog", "wi... | Pandluru/Hyper-SDXL | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - Pandluru/Hyper-SDXL
<Gallery />
## Model description
These are Pandluru/Hyper-SDXL LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/s... | [
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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. -->
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|
# Model Card for Model ID
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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_b128_le4_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": "zlm_b128_le4_s4000", "results": []}]} | mikhail-panzo/zlm_b128_le4_s4000 | null | [
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| zlm\_b128\_le4\_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: 0.3181
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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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": []} | shallow6414/4urq346 | 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": []} | golf2248/7y05xeo | 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": []} | golf2248/5xgnt4j | 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": []} | golf2248/6lgbvrk | null | [
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text-generation | null |
# Qwen1.5-110B-Chat-GGUF
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat-GGUF/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-110B-Chat-GGUF | null | [
"gguf",
"chat",
"text-generation",
"en",
"license:other",
"region:us"
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] | TAGS
#gguf #chat #text-generation #en #license-other #region-us
|
# Qwen1.5-110B-Chat-GGUF
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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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": []} | kssumanth6/t5_small_sentence_polishing_generator_v1 | null | [
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# SilverFan/IceCoffeeRP-7b-Q6_K-GGUF
This model was converted to GGUF format from [`icefog72/IceCoffeeRP-7b`](https://huggingface.co/icefog72/IceCoffeeRP-7b) 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://huggingfa... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "IceCoffeeTest11", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 ... | SilverFan/IceCoffeeRP-7b-Q6_K-GGUF | null | [
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|
# SilverFan/IceCoffeeRP-7b-Q6_K-GGUF
This model was converted to GGUF format from 'icefog72/IceCoffeeRP-7b' 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... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Given a sentence, our model predicts whether or not the sentence contains "persuasive" language, or language designed to elicit emotions or change
readers' opinions. The model was tuned on the SemEval 2020 Task 11 dataset. However, ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["sem_eval_2020_task_11"]} | chreh/persuasive_language_detector | null | [
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text-generation | transformers |
# Llama-3-8b-pygmalion-2-7b-v1
Llama-3-8b-pygmalion-2-7b-v1 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [winglian/Llama-3-8b-64k-PoSE](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE)
* ... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "winglian/Llama-3-8b-64k-PoSE", "PygmalionAI/pygmalion-2-7b"], "base_model": ["winglian/Llama-3-8b-64k-PoSE", "PygmalionAI/pygmalion-2-7b"]} | farhananis005/Llama-3-8b-pygmalion-2-7b-v1 | null | [
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# Llama-3-8b-pygmalion-2-7b-v1
Llama-3-8b-pygmalion-2-7b-v1 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* winglian/Llama-3-8b-64k-PoSE
* PygmalionAI/pygmalion-2-7b
## Configuration
## Usage
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null | null | # Getting Started
Create a new conda environment for robomaster
```bash
conda create -n robomaster python=3.8
pip install robomaster dora-rs==0.3.3
```
Create a new conda environment for idefics2. This requirements file suppose that your using cu122.
```bash
conda create -n idefics2 python=3.10
conda activate idefi... | {} | TommyZQ/csg-dora-rs | null | [
"region:us"
] | null | 2024-04-28T01:48:29+00:00 | [] | [] | TAGS
#region-us
| # Getting Started
Create a new conda environment for robomaster
Create a new conda environment for idefics2. This requirements file suppose that your using cu122.
## Robomaster Jailbreak
### Installation of the Robomaster S1 Hack
This guide is an updated version of the original Robomaster S1 SDK Hack Guide and... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TETO101/AIRI-8B-V2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a wee... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "TETO101/AIRI-8B-V2", "quantized_by": "mradermacher"} | mradermacher/AIRI-8B-V2-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. -->
# V2-bert-text-classification-model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "bert-base-uncased", "model-index": [{"name": "V2-bert-text-classification-model", "results": []}]} | AmirlyPhd/V2-bert-text-classification-model | null | [
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"license:apache-2.0",
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| V2-bert-text-classification-model
=================================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2017
* Accuracy: 0.9601
* F1: 0.8264
* Precision: 0.8214
* Recall: 0.8331
Model description
--------... | [
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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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|
# Model Card for Model ID
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### 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": []} | HC-85/distilbert-lora-64r-arxiv-multilabel | null | [
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|
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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": []} | zandfj/LLaMA2-7B-Chat-sft-sft-3epo_dpozf_glod0862_042808 | null | [
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|
# Model Card for Model ID
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text-generation | transformers | ## GOOGLE COLAB IS A SCAM DO NOT USE THE PAID VERSION
## THEY WILL DISCONNECT YOUR RUNTIME BEFORE EVEN 24 HOURS
https://github.com/googlecolab/colabtools/issues/3451
_________________________________________________________________________________________
## PLEASE INSTEAD USE TENSORDOCK ITS CHEAPER AND DOESNT DISCONN... | {"language": ["en"], "license": "apache-2.0", "model-index": [{"name": "test_dataset_Codellama-3-8B", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": 0.63, "name": "pass@1", "verified": false}]}]}]} | rombodawg/test_dataset_Codellama-3-8B | 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": []} | shallow6414/30c00x4 | null | [
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text-generation | transformers |
# stablelm-2-zephyr-1.6b-dareties2
stablelm-2-zephyr-1.6b-dareties2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aipib/stablelm-2-zephyr-1.6b-slerpx13](https://huggingface.co/aipib/stablelm-2-zephyr-1.6b-slerpx13)
* ... | {"tags": ["merge", "mergekit", "lazymergekit", "aipib/stablelm-2-zephyr-1.6b-slerpx13", "stabilityai/stablelm-2-1_6b", "stabilityai/stablelm-2-zephyr-1_6b"], "base_model": ["aipib/stablelm-2-zephyr-1.6b-slerpx13", "stabilityai/stablelm-2-1_6b", "stabilityai/stablelm-2-zephyr-1_6b"]} | aipib/stablelm-2-zephyr-1.6b-dareties2 | null | [
"transformers",
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"text-generation",
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"base_model:s... | null | 2024-04-28T02:00:18+00:00 | [] | [] | TAGS
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# stablelm-2-zephyr-1.6b-dareties2
stablelm-2-zephyr-1.6b-dareties2 is a merge of the following models using LazyMergekit:
* aipib/stablelm-2-zephyr-1.6b-slerpx13
* stabilityai/stablelm-2-1_6b
* stabilityai/stablelm-2-zephyr-1_6b
## 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/wpwlrj4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/x8p3c85 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/9a7qxs2 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# Whisper-small-speechocean
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-sma... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper-small-speechocean", "results": []}]} | nrshoudi/Whisper-small-speechocean | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #region-us
| Whisper-small-speechocean
=========================
This model is a fine-tuned version of openai/whisper-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6821
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\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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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": []} | Elhassnaoui-2001/mistral_7b-instruct-ploty | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold5
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-base-patch4-window12-192-22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold5", "results": [{"task": {"type": "image-classification", "name":... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold5 | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T02:06:35+00:00 | [] | [] | TAGS
#transformers #safetensors #swinv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swinv2-base-patch4-window12-192-22k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-base-patch4\_fold5
========================================================
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2529
* Accuracy: 0.6758... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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object-detection | 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": []} | Spatiallysaying/detr-finetuned-runwaymarkings-Horizontal-v1 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #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 | mlx |
# mlx-community/dolphin-2.9-llama3-8b-256-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b-256k`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b-256k) for more details on the model.
#... | {"license": "llama3", "tags": ["mlx"]} | mlx-community/dolphin-2.9-llama3-8b-256-4bit | null | [
"mlx",
"safetensors",
"llama",
"license:llama3",
"region:us"
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#mlx #safetensors #llama #license-llama3 #region-us
|
# mlx-community/dolphin-2.9-llama3-8b-256-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b-256k']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-to-image | null |
# SDXS Onnx
Converted from [IDKiro/sdxs-512-0.9](https://huggingface.co/IDKiro/sdxs-512-0.9) (i.e. the original one, without dreamshaper) through this command:
```
optimum-cli export onnx -m <local absolute path to original model> --task stable-diffusion ./mysdxs
```
Notice that I replaced the `/vae` folder in the ... | {"pipeline_tag": "text-to-image"} | lemonteaa/sdxs-onnx | null | [
"onnx",
"text-to-image",
"region:us"
] | null | 2024-04-28T02:15:04+00:00 | [] | [] | TAGS
#onnx #text-to-image #region-us
|
# SDXS Onnx
Converted from IDKiro/sdxs-512-0.9 (i.e. the original one, without dreamshaper) through this command:
Notice that I replaced the '/vae' folder in the local copy of the repo with '/vae_large' in that same repo, and updated the model config at the repo root. This is because the Onnx converter doesn't cur... | [
"# SDXS Onnx\n\nConverted from IDKiro/sdxs-512-0.9 (i.e. the original one, without dreamshaper) through this command:\n\n\n\nNotice that I replaced the '/vae' folder in the local copy of the repo with '/vae_large' in that same repo, and updated the model config at the repo root. This is because the Onnx converter d... | [
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text-generation | transformers | # llama-3-experiment-v1-9B
This is an experimental merge, replicating additional layers to the model without post-merge healing.
There is damage to the model, but it appears to be tolerable as is; the performance difference in benchmarks from the original 8B Instruct model does not appear to be significant.
The result... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["meta", "llama-3", "pytorch", "mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"], "license_link": "LICENSE", "pipeline_tag": "text-generation", "widget": [{"example_title": "Hello", "messages": [{"role": "user", ... | grimjim/llama-3-experiment-v1-9B | null | [
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| # llama-3-experiment-v1-9B
This is an experimental merge, replicating additional layers to the model without post-merge healing.
There is damage to the model, but it appears to be tolerable as is; the performance difference in benchmarks from the original 8B Instruct model does not appear to be significant.
The result... | [
"# llama-3-experiment-v1-9B\n\nThis is an experimental merge, replicating additional layers to the model without post-merge healing.\nThere is damage to the model, but it appears to be tolerable as is; the performance difference in benchmarks from the original 8B Instruct model does not appear to be significant.\nT... | [
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text-generation | transformers | # llama-3-experiment-v1-9B-GGUF
This is an experimental merge, replicating additional layers to the model without post-merge healing. There is damage to the model, but it appears to be tolerable as is. The resulting impact on narrative text completion may be of interest.
Light testing performed with instruct promptin... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["meta", "llama-3", "pytorch", "mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"], "license_link": "LICENSE", "pipeline_tag": "text-generation", "widget": [{"example_title": "Hello", "messages": [{"role": "user", ... | grimjim/llama-3-experiment-v1-9B-GGUF | null | [
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| # llama-3-experiment-v1-9B-GGUF
This is an experimental merge, replicating additional layers to the model without post-merge healing. There is damage to the model, but it appears to be tolerable as is. The resulting impact on narrative text completion may be of interest.
Light testing performed with instruct promptin... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/FPHam/Marvin_TheGrumpyOldAssistant_13B-HF
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If th... | {"language": ["en"], "library_name": "transformers", "tags": ["llm", "llama2", "marvin", "funny", "model"], "base_model": "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF", "quantized_by": "mradermacher"} | mradermacher/Marvin_TheGrumpyOldAssistant_13B-HF-GGUF | null | [
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#transformers #gguf #llm #llama2 #marvin #funny #model #en #base_model-FPHam/Marvin_TheGrumpyOldAssistant_13B-HF #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 | mlx |
# mlx-community/dolphin-2.9-llama3-8b-256-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b-256k`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b-256k) for more details on the model.
#... | {"license": "llama3", "tags": ["mlx"]} | mlx-community/dolphin-2.9-llama3-8b-256-8bit | null | [
"mlx",
"safetensors",
"llama",
"license:llama3",
"region:us"
] | null | 2024-04-28T02:20:13+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-llama3 #region-us
|
# mlx-community/dolphin-2.9-llama3-8b-256-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b-256k']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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"## Use with mlx"
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"language": ["en"], "license": "llama3", "tags": ["axolotl", "generated_from_trainer"], "datasets": ["BEE-spoke-data/bees-internal"], "base_model": "meta-llama/Meta-Llama-3-8B", "pipeline_tag": "text-generation", "model-index": [{"name": "Meta-Llama-3-8Bee", "results": []}]} | BEE-spoke-data/Meta-Llama-3-8Bee | null | [
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... | null | 2024-04-28T02:21:05+00:00 | [] | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
Meta-Llama-3-8Bee
=================
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: 2.3319
Mod... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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object-detection | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad", "results": []}]} | qubvel-hf/facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limitations
More information nee... | [
"# facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad\n\nThis model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
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null | null | ---
license: apache-2.0
---
# Model url: https://huggingface.co/TimeMobius/Mobius-RWKV-r5-chat-12B-8k
Considering the long context required for training from scratch, we decided to retrain the r5 12B model from 8k.
This model exhibits lower diversity compared to its predecessor, but it excels in following instructions ... | {"license": "apache-2.0"} | xiaol/Mobius-RWKV-r5-chat-12B-8k | null | [
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"2404.05892"
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#arxiv-2404.05892 #license-apache-2.0 #region-us
| ---
license: apache-2.0
---
# Model url: URL
Considering the long context required for training from scratch, we decided to retrain the r5 12B model from 8k.
This model exhibits lower diversity compared to its predecessor, but it excels in following instructions and logical understanding. It is possible to utilize bot... | [
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
| {"library_name": "peft"} | yuzhang/llava-prumerge-vicuna-13b-v1.5-lora | null | [
"peft",
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#peft #llava #region-us
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### Framework versions
- PEFT 0.4.0
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/3bzox14 | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-28T02:24:59+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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_total_Instruction0_PAOSL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_PAOSL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_PAOSL_v1_h1 | null | [
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|
# CS505_COQE_viT5_total_Instruction0_PAOSL_v1_h1
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
### ... | [
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null | null | <p align="center">
<img src="../assets/lumina-logo.png" width="30%"/>
<br>
</p>
# Lumina-T2I
Lumina-T2I is a model that generates images based on text conditions, supporting various text encoders and models of different parameter sizes. With minimal training costs, it achieves high-quality image generation by trai... | {} | Alpha-VLLM/Lumina-T2I | null | [
"region:us"
] | null | 2024-04-28T02:27:46+00:00 | [] | [] | TAGS
#region-us
|
Lumina-T2I
==========
Lumina-T2I is a model that generates images based on text conditions, supporting various text encoders and models of different parameter sizes. With minimal training costs, it achieves high-quality image generation by training from scratch. Additionally, it offers usag... | [
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"### 2. Install dependencies\n\n\nor you can use",
"### 3. Install ''flash-attn''",
"### 4. Install nvidia apex (optional)\n\n\n\n> \n> [!Warning]\n> While Apex can imp... | [
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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-sigoIAspirantes-Orca-oass-500-gpu
This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2", "model-index": [{"name": "mistral-sigoIAspirantes-Orca-oass-500-gpu", "results": []}]} | fergos80/mistral-sigoIAspirantes-Orca-oass-500-gpu | null | [
"peft",
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"license:apache-2.0",
"4-bit",
"region:us"
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| mistral-sigoIAspirantes-Orca-oass-500-gpu
=========================================
This model is a fine-tuned version of NickyNicky/Mistral-7B-OpenOrca-oasst\_top1\_2023-08-25-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1371
Model description
-----------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 2\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 |
# Llama-3-Ko-Instruct
## Methodology
https://huggingface.co/blog/maywell/llm-feature-transfer
Paper Soon
### Model Used
[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
[meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
[beomi/Llama-3... | {"language": ["en", "ko"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | maywell/Llama-3-Ko-8B-Instruct | null | [
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"has_space",
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"region:... | null | 2024-04-28T02:30:58+00:00 | [
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| Llama-3-Ko-Instruct
===================
Methodology
-----------
URL
Paper Soon
### Model Used
meta-llama/Meta-Llama-3-8B-Instruct
meta-llama/Meta-Llama-3-8B
beomi/Llama-3-Open-Ko-8B
Benchmark
---------
### Kobest
Task: kobest overall, beomi/Llama-3-Open-Ko-8B-Instruct: 0.6220 ± 0.0070, maywell/Llama... | [
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null | transformers |
# DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q6_K-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Orac-13B-Tiefighter-slerp`](https://huggingface.co/DavidAU/D_AU-Orac-13B-Tiefighter-slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["microsoft/Orca-2-13b", "KoboldAI/LLaMA2-13B-Tiefighter"]} | DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q6_K-GGUF | null | [
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"base_model:KoboldAI/LLaMA2-13B-Tiefighter",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T02:31:25+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-microsoft/Orca-2-13b #base_model-KoboldAI/LLaMA2-13B-Tiefighter #endpoints_compatible #region-us
|
# DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q6_K-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Orac-13B-Tiefighter-slerp' 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 ... | [
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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": []} | AmirlyPhd/v2_bert-text-classification-model | 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": []} | golf2248/6gi0xkw | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/2de9rij | 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/xqin00o | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | ## モデル
- ベースモデル：[llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0)
- 学習データセット：[llm-jp/databricks-dolly-15k-ja](https://huggingface.co/datasets/llm-jp/databricks-dolly-15k-ja)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
toke... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["llm-jp/databricks-dolly-15k-ja"]} | ryota39/llm-jp-1b-sft-15k | null | [
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"license:apache-2.0",
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"ja"
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| ## モデル
- ベースモデル：llm-jp/llm-jp-1.3b-v1.0
- 学習データセット：llm-jp/databricks-dolly-15k-ja
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
メタデータラボ、日本最大規模のAIハッカソン「... | [
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"## モデル\n\n- ベースモデル：llm-jp/llm-jp-1.3b-v1.0\n- 学習データセット：llm-jp/databricks-dolly-15k-ja\n- 学習方式：フルパラメータチューニ... | [
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null | transformers |
# DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q5_K_M-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Orac-13B-Tiefighter-slerp`](https://huggingface.co/DavidAU/D_AU-Orac-13B-Tiefighter-slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer ... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["microsoft/Orca-2-13b", "KoboldAI/LLaMA2-13B-Tiefighter"]} | DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q5_K_M-GGUF | null | [
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"llama-cpp",
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"base_model:microsoft/Orca-2-13b",
"base_model:KoboldAI/LLaMA2-13B-Tiefighter",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T02:34:32+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-microsoft/Orca-2-13b #base_model-KoboldAI/LLaMA2-13B-Tiefighter #endpoints_compatible #region-us
|
# DavidAU/D_AU-Orac-13B-Tiefighter-slerp-Q5_K_M-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Orac-13B-Tiefighter-slerp' 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 th... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the ... | [
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text-generation | transformers |
## モデル
- ベースモデル：[ryota39/llm-jp-1b-sft-100k-LoRA](https://huggingface.co/ryota39/llm-jp-1b-sft-100k-LoRA)
- 学習データセット：[llm-jp/hh-rlhf-12k-ja](https://huggingface.co/datasets/llm-jp/hh-rlhf-12k-ja)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
token... | {"language": ["ja"], "license": "cc", "library_name": "transformers", "tags": ["dpo"], "datasets": ["llm-jp/hh-rlhf-12k-ja"]} | ryota39/llm-jp-1b-sft-100k-LoRA-dpo-12k | null | [
"transformers",
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"gpt2",
"text-generation",
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"dataset:llm-jp/hh-rlhf-12k-ja",
"license:cc",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T02:39:33+00:00 | [] | [
"ja"
] | TAGS
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|
## モデル
- ベースモデル：ryota39/llm-jp-1b-sft-100k-LoRA
- 学習データセット：llm-jp/hh-rlhf-12k-ja
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
メタデータラボ、日本最大規模のAIハッカソン「... | [
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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. -->
# Falcon-7b-Finetuned-Extented-MBPP-Dataset-Synthetic
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://hu... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "Falcon-7b-Finetuned-Extented-MBPP-Dataset-Synthetic", "results": []}]} | MUsama100/Falcon-7b-Finetuned-Extented-MBPP-Dataset-Synthetic | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-tiiuae/falcon-7b-instruct #license-apache-2.0 #region-us
| Falcon-7b-Finetuned-Extented-MBPP-Dataset-Synthetic
===================================================
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2069
Model description
-----------------
More informat... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="HoldenT/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | HoldenT/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-28T02:47:54+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
object-detection | transformers | # Model Card for Model ID
This finetuned YOLOv5 model is developed to aid businesses in automating the inspection of returned goods. It utilizes advanced computer vision techniques to detect, classify, and assess the condition of items from images, determining whether returns are genuine or potentially fraudulent. The... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["computer-vision", "object-detection", "fraud-detection", "yolov5"], "datasets": ["imagenet-1k"], "metrics": ["accuracy", "precision", "recall"]} | CodyLiu/checkThat_YOLOv5 | null | [
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"object-detection",
"fraud-detection",
"yolov5",
"en",
"dataset:imagenet-1k",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T02:48:44+00:00 | [
"1910.09700"
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"en"
] | TAGS
#transformers #computer-vision #object-detection #fraud-detection #yolov5 #en #dataset-imagenet-1k #arxiv-1910.09700 #license-apache-2.0 #endpoints_compatible #region-us
| # Model Card for Model ID
This finetuned YOLOv5 model is developed to aid businesses in automating the inspection of returned goods. It utilizes advanced computer vision techniques to detect, classify, and assess the condition of items from images, determining whether returns are genuine or potentially fraudulent. The... | [
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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": []} | MohammadKarami/medium-roberta | null | [
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"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #roberta #text-classification #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:
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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": []} | shallow6414/4dheple | null | [
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"text-generation",
"conversational",
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for free-solar-evo-v0.13
## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## Method
- We were inspired by this [Sakana project](https://sakana.ai/evolutionary-model-merge/)
## Base Model
- free-solar-evo-model | {"language": ["ko", "en"], "license": "mit"} | freewheelin/free-solar-evo-v0.13 | null | [
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# Model Card for free-solar-evo-v0.13
## Developed by : Freewheelin AI Technical Team
## Method
- We were inspired by this Sakana project
## Base Model
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | Epoching/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-28T02:58:44+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-NeoRuby-7B
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "argilla/CapybaraHermes-2.5-Mistral-7B", "argilla/distilabeled-OpenHermes-2.5-Mistral-7B"], "base_model": "Yuma42/KangalKhan-NeoRuby-7B", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-NeoRuby-7B-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
-----
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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/pzk6o2u | null | [
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# Model Card for Model ID
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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": []} | quickstep3621/4v6ph3k | 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": []} | quickstep3621/nfo51od | 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": []} | HC-85/distilbert-lora-32r-arxiv-multilabel-b16 | 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": []} | Ynir/llama-3-8b-test-v2 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# plm-nsp-1000
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "plm-nsp-1000", "results": []}]} | mhr2004/plm-nsp-1000 | null | [
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| plm-nsp-1000
============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5839
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | cgihlstorf/NEW_finetuned_Mistral-7B32_1_0.0003_alternate_no_output | null | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.4913766384124756
f1_macro: 0.28164367547346275
f1_micro: 0.64
f1_weighted: 0.5917376665887304
precision_macro: 0.2705775014459225
precision_micro: 0.64
precision_weighted: 0.5802396761133604
recall_macro: 0.33243... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-9c20u-twasm/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | dhananjay2912/deberta_aci_bench_medical_section_classifier | null | [
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text-generation | null |
# MoMonir/Meta-Llama-Guard-2-8B-GGUF
This model was converted to GGUF format from [`meta-llama/Meta-Llama-Guard-2-8B`](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B) 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]... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | MoMonir/Meta-Llama-Guard-2-8B-GGUF | null | [
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"facebook",
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"pytorch",
"llama",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-28T03:15:34+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us
|
# MoMonir/Meta-Llama-Guard-2-8B-GGUF
This model was converted to GGUF format from 'meta-llama/Meta-Llama-Guard-2-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
GGUF is a new format introduced by the URL team on Au... | [
"# MoMonir/Meta-Llama-Guard-2-8B-GGUF\nThis model was converted to GGUF format from 'meta-llama/Meta-Llama-Guard-2-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"### About GGUF (TheBloke Description)\n\nGGUF is a new format introduced by the URL... | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us \n",
"# MoMonir/Meta-Llama-Guard-2-8B-GGUF\nThis model was converted to GGUF format from 'meta-llama/Meta-Llama-Guard-2-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the origin... | [
51,
80,
398,
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"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us \n# MoMonir/Meta-Llama-Guard-2-8B-GGUF\nThis model was converted to GGUF format from 'meta-llama/Meta-Llama-Guard-2-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original mod... |
text-generation | transformers | # Model Card for Model ID
This is the finetuned instruct AI model from Mistral AI.
### Model Description
Mistral 7b Instruct v.1.0 is an AI model developed by Mistral AI, based on the original model: Mistral 7b. It was finetuned for conversational discussions and was trained on a variety of public data.
- **Deve... | {"license": "apache-2.0", "pipeline_tag": "text-generation"} | orionai/mistral-7b-instruct-v.1.0 | null | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T03:16:28+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Model ID
This is the finetuned instruct AI model from Mistral AI.
### Model Description
Mistral 7b Instruct v.1.0 is an AI model developed by Mistral AI, based on the original model: Mistral 7b. It was finetuned for conversational discussions and was trained on a variety of public data.
- Develo... | [
"# Model Card for Model ID\n\n\nThis is the finetuned instruct AI model from Mistral AI.",
"### Model Description\n\nMistral 7b Instruct v.1.0 is an AI model developed by Mistral AI, based on the original model: Mistral 7b. It was finetuned for conversational discussions and was trained on a variety of public dat... | [
"TAGS\n#transformers #pytorch #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID\n\n\nThis is the finetuned instruct AI model from Mistral AI.",
"### Model Description\n\nMis... | [
50,
21,
90,
18,
76
] | [
"TAGS\n#transformers #pytorch #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID\n\n\nThis is the finetuned instruct AI model from Mistral AI.### Model Description\n\nMistral 7b Inst... |
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